Citation Analysis Research Articles

Mapping One Decade of Identity Studies: A Comprehensive Bibliometric Analysis of Global Trends and Scholarly Impact

This study presents a comprehensive bibliometric analysis of identity studies over the past decade, focusing on global trends and scholarly impact. Identity is defined as a dynamic concept that reflects how individuals and groups construct their sense of self within diverse social, cultural, and political contexts. Using the Scopus database, this research analyzed 18,399 publications from 2013 to 2024, spanning multiple disciplines such as sociology, anthropology, and digital cultural studies. This study identified leading authors, collaboration patterns, and thematic evolutions within identity research, highlighted through citation analysis and network visualization. The findings reveal significant contributions from Western countries, particularly the United States and the United Kingdom, in shaping the global discourse on identity. Key topics frequently explored include social identity, cultural identity, and the influence of globalization. Additionally, emerging themes such as identity in the context of the COVID-19 pandemic and racial disparities are highlighted. This bibliometric analysis provides insights into global collaboration, research productivity, and the intellectual contributions of prominent scholars. Utilizing R software and the Bibliometric package, this study offers a deep understanding of the dynamics of identity research and suggests future directions to further explore the formation, negotiation, and expression of identity in an increasingly globalized world.

Trends and directions of Islamic marketing: a bibliometric and scientometric analysis (2001–2023)

Purpose This paper aims to provide bibliometric data from previously published research in Islamic marketing. To assess the knowledge structure of research in Islamic marketing and to aid future research, several categories were analysed, such as the most influential authors, the keywords and the themes of the previously published research. The paper also analyses the content of the previously published research in this field to identify the gaps and provide future research direction. Design/methodology/approach Using a quali-quantitative approach known as meta-literature review, we analysed the Islamic marketing literature from 2001–2023. The authors reviewed and analysed 208 papers through bibliometric citation analysis (using R-Studio, VOSviewer and Excel) and content analysis. Findings The findings revealed that Malaysia is the most influential country researching Islamic Marketing, and most of the papers were published by the Journal of Islamic Marketing. “Islamic”, “Marketing” and “halal” are among the top three keywords used by the authors publishing in this field. It was found that the impactful authors in Islamic marketing are Wilson, Alserhan and Sandikci, and the impactful source is the Journal of Islamic Marketing. The authors also found that the past research in this field focuses on qualitative research methods, and the objective is more towards providing a general understanding of the concept of Islamic marketing, while the current research agenda is more towards behavioural study and uses quantitative analysis. Practical implications By identifying core journals, seminal papers and influential authors, researchers can gain insights into the intellectual structure of a discipline in this field. This study also supports decision-makers, such as funding agencies or policymakers, and assists in making informed decisions related to resource allocation and research priorities. Originality/value This comprehensive study examines previously published research and contributes to mapping knowledge domains in Islamic marketing. Reviewing and analysing the published research on Islamic marketing, the authors provide 11 future research questions to extend the research on this topic. The findings of this research benefit practitioners and researchers wishing to embark on research in this niche field.

Navigating the Sustainability–Luxury Paradox: Bibliometric Insights and Research Directions

ABSTRACTSustainable luxury integrates environmentally conscious practices with high standards in luxury offerings, propelling the growth of this market. But how navigable is this paradoxical alliance between luxury and sustainability? Accordingly, research in this domain has also taken a fillip. The present study provides a comprehensive understanding of the field's current state and offers future directions through a bibliometric analysis. We employ bibliographic coupling, citation analysis, keyword analysis, and cluster analysis using Biblioshiny and VOSviewer to map the intellectual structure of sustainable luxury by analysing 301 articles (1986–2004). We present insights into sustainable luxury literature, including authors, highly cited papers, popular journals, regional publication trends, and keyword analysis. The cluster analysis reveals five key research clusters: sustainability in luxury and fashion, sustainable practices in luxury hospitality, the sharing economy, corporate social responsibility (CSR) and ethical considerations in the luxury sector, and luxury sustainability strategies and consumer roles in conspicuous luxury consumption. It highlights that consumer perceptions of durability, CSR, and cultural identities shape sustainable luxury consumption. It emphasises the need to reconsider traditional economic dynamics due to the rise of second‐hand luxury and the sharing economy. Based on our synthesis, we propose research questions for future exploration by employing the Theory, Context, Characteristics, and Methods framework and incorporating inputs from expert practitioners in the sustainable luxury domain.

Bibliometric Analysis of bilig from 2008 to 2022

This study aims to analyse the bibliometric characteristics of 686 research articles published between 2008 and 2022 in bilig, which was published in 1996 and indexed by the Social Sciences Citation Index since 2008. Within the scope of the study, co-authorship, countries, and authorship trends in the context of institutional network analysis were examined and citation analysis was carried out. The methodology of the study consists of content and citation analysis. VOSviewer, a software tool, was used to create and visualise bibliometric networks. As a result of the analyses, it was seen that most of the studies published in bilig were in Turkish, and in terms of the number of authors, single-author articles were found the most. In the evaluation made according to the institutions, it was seen that the most contributions were made by researchers from Hacettepe University, Gazi University and Ankara University. It was determined that the studies in the journal were on literature, art, history, international relations and political science, linguistics, culture, sociology, economy, entrepreneurship, education, migration, geography, religion, management, communication, and technology. It was found that the most cited publication was the study on communication published in 2010.

MAPPING RESEARCH DEVELOPMENTS AND TRENDS: SUSTAINABLE ECONOMIC LITERACY IN ISLAMIC CONTEXT

This study presents a bibliometric analysis of islamic sustainable economic research from scopus indexed scientific publications. Data sources were obtained from searches using the publish or perish application with the keywords “islamic AND sustainable AND economy” total of 205 articles from 2007-2024. Statistical analysis of metadata using the VOS Viewer application. This study analyzes the trend of research development based on the year of publication, journal contribution, journal citation, country, co-authorship, authors, keywords used, and visualization analysis of the research landscape cluster. The results show that the keywords "sustainable development", "islamic finance", and "waqf" can be said to be developing quite well because each year shows an increase in the number of studies relevant to these keywords. The author who produces the most article is M. Kabir Hassan with 7 articles. The most articles were produced in 2022 with total 28 articles. Malaysia is the most contributing country to publish 64 articles. Research clusters consisting of 10 clusters. The direction of future research development that still rarely researched in the role of Islamic microfinance for sustainable economic development, Islamic financial performance to realize a sustainable economy, politics and regulation for an Islamic-based sustainable economy

Lessons learned in transition: a bibliometric analysis of educational management in school transfer to provincial administrative organizations during decentralization

This study conducts a bibliometric analysis to explore the dynamics of educational management during the transfer of schools to Provincial Administrative Organizations (PAOs) as part of Thailand’s decentralization efforts. The primary aim is to identify key themes, trends, and influential works that shape the discourse surrounding this policy shift. Using a dataset of 190 publications and authors’ keyword co-occurrence data, the study examines trends, patterns, and knowledge gaps from 2018 to 2024. By applying bibliometric techniques, including citation and co-citation analysis, the research maps the intellectual landscape of educational management within the context of decentralization. Despite a downward trend in the volume of publications, these methods remain essential for handling quantitative research data and understanding the citation patterns within the field. The findings reveal a concentrated focus on administrative challenges, stakeholder engagement, and the impact on educational outcomes. However, there is a notable lack of research addressing the long-term effects and sustainability of the management structures that have been transferred to PAOs. Additionally, the study highlights key authors, institutions, and journals that have significantly contributed to the field, showcasing an academic network of collaboration and knowledge production. This bibliometric overview provides policymakers, educators, and researchers with a consolidated view of the lessons learned during this transition. It underscores the need for continued investigation into best practices and innovative approaches to educational management in decentralized systems. Future research directions are proposed to address the identified gaps and further explore the evolving landscape of educational governance in Thailand. Ultimately, this study contributes to the broader discourse on decentralization and its implications for educational administration, offering valuable insights to inform policy and practice in similar contexts globally.

Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis

ObjectiveTo systematically map the knowledge landscape and development trends in artificial intelligence (AI) applications for antimicrobial resistance (AMR) research through bibliometric analysis, providing evidence-based insights to guide future research directions and inform strategic decision-making in this dynamic field.MethodsA comprehensive bibliometric analysis was performed using the Web of Science Core Collection database for publications from 2014 to 2024. The analysis integrated multiple bibliometric approaches: VOSviewer for visualization of collaboration networks and research clusters, CiteSpace for temporal evolution analysis, and quantitative analysis of publication metrics. Key bibliometric indicators including co-authorship patterns, keyword co-occurrence, and citation impact were analyzed to delineate research evolution and collaboration patterns in this domain.ResultsA collection of 2,408 publications was analyzed, demonstrating significant annual growth with publications increasing from 4 in 2014 to 549 in 2023 (22.7% of total output). The United States (707), China (581), and India (233) were the leading contributors in international collaborations. The Chinese Academy of Sciences (53), Harvard Medical School (43), and University of California San Diego (26) were identified as top contributing institutions. Citation analysis highlighted two major breakthroughs: AlphaFold’s protein structure prediction (6,811 citations) and deep learning approaches to antibiotic discovery (4,784 citations). Keyword analysis identified six enduring research clusters from 2014 to 2024: sepsis, artificial neural networks, antimicrobial resistance, antimicrobial peptides, drug repurposing, and molecular docking, demonstrating the sustained integration of AI in antimicrobial therapy development. Recent trends show increasing application of AI technologies in traditional approaches, particularly in MALDI-TOF MS for pathogen identification and graph neural networks for large-scale molecular screening.ConclusionThis bibliometric analysis shows the importance of artificial intelligence in enhancing the progress in the discovery of antimicrobial drugs especially toward the fight against AMR. From enhancing the fast, efficient and predictive performance of drug discovery methods, current AI capabilities have revealed observable potential to be proactive in combating the ever-growing challenge of AMR worldwide. This study serves not only an identification of current trends, but also, and especially, offers a strategic approach to further investigations.

Citation Concept Analysis (CCA) of concepts introduced by Pierre Bourdieu: Measuring their impact across fields and periods

ABSTRACT Purpose Citations can be used in evaluative bibliometrics to measure the impact of papers. However, citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact. Design/methodology/approach Bornmann, Wray, and Haunschild (2019) introduced citation concept analysis (CCA) for capturing the importance and usefulness certain concepts have in subsequent research. The method is based on the analysis of citances – the contexts of citations in citing papers. This study applies the method by investigating the impact of various concepts introduced in the oeuvre of the world-leading French sociologist Pierre Bourdieu. Findings We found that the most cited concepts are ‘social capital’ (with about 34% of the citances in the citing papers), ‘cultural capital’, and ‘habitus’ (both with about 24%). On the other hand, the concepts ‘doxa’ and ‘reflexivity’ score only about 1% each. Research limitations The formulation of search terms for identifying the concepts in the data and the citation context coverage are the most important limitations of the study. Practical implications The results of this explorative study reflect the historical development of Bourdieu’s thought and its interface with different fields of study. Originality/value The study demonstrates the high explanatory power of the CCA method.

Exploring Artificial Intelligence Biases in Predictive Models for Cancer Diagnosis

The American Society of Clinical Oncology (ASCO) has released the principles for the responsible use of artificial intelligence (AI) in oncology emphasizing fairness, accountability, oversight, equity, and transparency. However, the extent to which these principles are followed is unknown. The goal of this study was to assess the presence of biases and the quality of studies on AI models according to the ASCO principles and examine their potential impact through citation analysis and subsequent research applications. A review of original research articles centered on the evaluation of predictive models for cancer diagnosis published in the ASCO journal dedicated to informatics and data science in clinical oncology was conducted. Seventeen potential bias criteria were used to evaluate the sources of bias in the studies, aligned with the ASCO’s principles for responsible AI use in oncology. The CREMLS checklist was applied to assess the study quality, focusing on the reporting standards, and the performance metrics along with citation counts of the included studies were analyzed. Nine studies were included. The most common biases were environmental and life-course bias, contextual bias, provider expertise bias, and implicit bias. Among the ASCO principles, the least adhered to were transparency, oversight and privacy, and human-centered AI application. Only 22% of the studies provided access to their data. The CREMLS checklist revealed the deficiencies in methodology and evaluation reporting. Most studies reported performance metrics within moderate to high ranges. Additionally, two studies were replicated in the subsequent research. In conclusion, most studies exhibited various types of bias, reporting deficiencies, and failure to adhere to the principles for responsible AI use in oncology, limiting their applicability and reproducibility. Greater transparency, data accessibility, and compliance with international guidelines are recommended to improve the reliability of AI-based research in oncology.

Research Trends on Job Satisfaction and Employee Turnover Intention: A Bibliometric Analysis

Using citation analysis, co-citation analysis, and co-word analysis, this bibliometric study investigates research patterns related to work satisfaction and employee turnover intention. In order to objectively follow and analyze research trends in the subject, the study includes a quantitative assessment of bibliographic information, including publications, citations, authors, and institutions. The analysis showed variations in the number of journals produced year, with a significant rise in 2021 and a subsequent fall in 2015. In addition, the study determined the most referenced authors and works in the area, offering insightful information about current knowledge gaps and potential future research avenues concerning job satisfaction and employee turnover intention. The findings of this analysis offer descriptive answers to research questions and contribute to the understanding of factors influencing employee job satisfaction and turnover intention. This paper serves as a valuable resource for scholars and researchers interested in bibliometric analysis and the field of job satisfaction and employee turnover intention.

Exploring Workplace Dynamics: A Systematic Review and Bibliometric Analysis of Work Stress, Gender Diversity, and Job Satisfaction in Higher Education Institutions

Purpose - This study aims to measure the correlation between work stress, gender diversity, and job satisfaction among employees in higher educational institutions using bibliometric analysis. It is becoming increasingly important worldwide to understand the causes of work-related stress and encourage gender diversity in higher educational institutions to improve job satisfaction. Design/methodology/approach - This study aims to conduct a bibliometric analysis of scholarly literature on work stress, gender diversity, and job satisfaction. From 1982 until 2023, the Scopus database was employed, selecting 252 papers for examination. R-studio is used to conduct preliminary data analysis, perform citation and co-citation analysis, and perform bibliographic coupling in conjunction with co-authoring. Findings - Synthesis facilitates our comprehension of the employees' functioning in higher educational institutions and the organization inside the paper. The collective investigation of variables such as work stress, gender diversity, and job happiness exhibited a consistent upward trend, with an average of 27.65 citations per article. According to our statistical data, the countries with the highest production of research publications are the United States, China, Iran, and Korea. Originality/value - This study adds to the current understanding of the factors that cause work-related stress, strategies that encourage gender diversity, and improved job satisfaction among employees at higher education institutions.

The development of a Web-based in-text citation analysis tool

The development of a Web-based in-text citation analysis tool

Exploring Trends and Clusters in Human Posture Recognition Research: An Analysis Using CiteSpace

This study delves into interdisciplinary research directions in human posture recognition, covering vision-based and non-vision-based methods. Visually analyzing 3066 core research papers published from 2011 to 2024 with CiteSpace software reveals knowledge structures, research topics, key documents, trends, and institutional contributions. In-depth citation analysis identified 1200 articles and five significant research clusters. Findings show that in recent years, deep learning and sensor-based methods have dominated, significantly improving recognition accuracy, like the deep learning-based posture recognition method achieving 99.7% verification set accuracy with a 20-ms delay in a controlled environment. Logarithmic growth analysis of annual publications, supported by logistic model fitting, indicates the field’s maturation since 2011, with a shift from early simple applications of traditional and deep learning algorithms to integrating interdisciplinary approaches for problem-solving as the field matures and a predicted decline in future breakthroughs. By integrating indicators like citation bursts, degree centrality, and sigma, the research identifies interdisciplinary trends and key innovation directions, showing a transition from traditional to deep learning and multi-sensor data fusion methods. The integration of biomechanics principles with engineering technologies highlights new research paths. Overall, this study offers a systematic overview to identify gaps, trends, and innovation directions, facilitating future research and providing a roadmap for innovation in human posture recognition.

Identifying Ocean‐Related Literature Using the UN Second World Ocean Assessment Report

In recent years, ocean governance has called for strategic action and science‐informed policy to work towards the sustainable development of the ocean, most notably as part of the UN Decade of Ocean Science for Sustainable Development (2021–2030). This common framework identifies the integration of scientific knowledge in governance as a key process to deliver solutions responding to the current challenges, opportunities, and transformations posed by global change in the oceans. This article presents a methodological approach for identifying ocean‐related research outputs and documenting research‐based knowledge integration in documents that inform ocean governance. Specifically, this study builds on an analysis of the references included in the UN Second World Ocean Assessment report to (a) identify and describe the research outputs cited in the distinct chapters of the report, (b) identify research outputs relevant to ocean governance through the analysis of citations from and to references included in the UN Second World Ocean Assessment, (c) compare both datasets to examine the position of the literature cited in the report within a broader ecosystem of ocean‐related research, and (d) present a method to identify topically relevant research that could be integrated in future ocean assessments. Our findings show distinct referencing practices across chapters and expert groups and a higher reliance on high‐profile sources in the report compared to a broader dataset of ocean research outputs. Moreover, this study highlights an innovative approach to identifying ocean research based on knowledge syntheses and considers discussion points about integrating research‐based knowledge in documents informing ocean governance.

Global research trends of BRUE (brief resolved unexplained event) or formerly ALTE (apparent life-threatening event): A comprehensive visualization and bibliometric analysis from 1988 to 2024.

This study aimed to conduct a comprehensive bibliometric analysis of the literature on Brief Resolved Unexplained Event (BRUE) and its predecessor, Apparent Life-Threatening Event (ALTE), from 1988 to 2024, in order to identify research trends, collaborative networks, and areas of focus in this field. We analyzed articles indexed in Scopus and Web of Science using various bibliometric indicators. The visualization of bibliometric networks was performed using VOSviewer and bibliometrix. Publication trends, citation analysis, co-authorship networks, and keyword co-occurrence were examined. A total of 270 articles were analyzed, of which 85.56% were research articles and 14.44% were review articles. The number of publications showed a significant increase over time (r=0.73, p<0.001). The United States emerged as the leading contributor with strong international collaborations. The most prolific journals were Pediatrics, Pediatric Emergency Care, and Journal of Pediatrics. Keyword analysis revealed a shift from terms associated with life-threatening events (e.g., SIDS, sleep apnea syndrome) to more specific terminology (BRUE) and methodological keywords over time. However, the 2016 redefinition of ALTE to BRUE did not result in a corresponding increase in publications. This bibliometric analysis provides valuable insights into the evolution and current state of BRUE/ALTE research. The findings highlight the field's progression toward more precise, evidence-based approaches. The identified research trends and gaps, particularly the limited studies from developing countries, offer direction for future research. These results can inform clinical practice, guide research priorities, and support the development of standardized guidelines for BRUE/ALTE management.

Progress and challenges in narrowing the gender publication gap and parity

PurposeThe purpose of this study is to examine the narrowing of the gender publication gap (GPG) and predict when gender publication parity will be achieved. It investigates if women’s publication rates are catching up with men’s when the proportion of published articles by women will match their representation in the field, and how the gender gap and parity are changing concerning lead authorships. The study analyzes data from 11,097 researchers across 8 management journals from 2002 to 2020, revealing a higher growth rate in women’s publications and varying degrees of parity achievement between micro and macro domains.Design/methodology/approachWe created a database of all researchers who published at least one article in eight management journals from January 2002 through December 2020. It included 11,097 unique researchers who produced 7,357 unique articles, resulting in 21,361 authorships. We used data from the Web of Science to identify articles and their authors, filtering for “articles” and “reviews” only. We used allometric modeling and time series analysis to examine the GPG and forecast gender publication parity.FindingsWe found that the GPG is narrowing, with women’s publication rates growing faster than men’s. Parity in lead authorships has already been achieved or is within reach for many journals, especially in micro domains. However, macro-oriented journals show slower progress, with some not expected to reach parity until 2045 or later. These improvements are linked to increased representation of women in leadership positions and targeted mentoring programs in micro domains.Research limitations/implicationsWhile our study focused on publications, it did not account for citations, which could provide a more comprehensive view of research impact. Future research should explore other journals and different time windows and include citation analysis to understand the GPG and parity further.Practical implicationsThe narrowing GPG is a positive development for organization studies, particularly in micro domains. This progress can mitigate stereotypes about women’s abilities, promote equity in hiring and promotion by considering authorship order and highlight the importance of targeted mentoring programs to reduce barriers for women. Additionally, business schools should identify and address performance situational constraints that disproportionately affect women, using techniques like the critical incidents approach to design effective interventions.Social implicationsThe study’s societal implications include fostering greater gender equity in academic publishing, which can influence broader social norms and reduce gender stereotypes in academia. Achieving gender parity in publications can lead to more equitable hiring, promotion and recognition practices. Additionally, it highlights the importance of removing performance situational constraints and biases that hinder women’s academic progress, thus promoting a more inclusive and fair academic environment. These changes can inspire other fields to implement similar measures, contributing to societal progress toward gender equality.Originality/valueThe study’s originality/value lies in its longitudinal approach to analyzing the GPG in organization studies, contrasting with prior cross-sectional studies. It provides new insights by predicting when gender parity will be achieved in various journals, showing faster progress in micro domains compared to macro domains. Additionally, the study introduces methodological innovations such as allometric modeling and scenario-based analyses, highlighting the importance of reducing situational constraints for women in academia. These findings offer a nuanced understanding of the ongoing efforts and challenges in achieving gender equity in academic publishing.

Comprehensive bibliometric analysis of pharmacotherapy for bipolar disorders: Present trends and future directions.

Bipolar disorder (BD) is a severe mental illness characterized by significant mood swings. Effective drug treatment modalities are crucial for managing BD. To analyze the current status and future trends of global research on BD drug treatment over the last decade. The Web of Science Core Collection database spanning from 2015 to 2024 was utilized to retrieve literature related to BD drug treatment. A total of 2624 articles were extracted. Data visualization and analysis were conducted using CiteSpace, VOSviewer, Pajek, Scimago Graphica, and R-studio bibliometrix to identify research hotspots, key contributors, and future trends. The United States, China, and the United Kingdom have made the most significant contributions to research on BD drug treatment and formed notable research collaboration networks. The University of Pittsburgh, Massachusetts General Hospital, and the University of Michigan have been identified as the major research institutions in this field. The Journal of Affective Disorders is the most influential journal. A keyword analysis revealed research hotspots related to clinical symptoms, drug efficacy, and genetic mechanisms. A citation analysis identified the management guidelines published by Yatham et al in 2018 as the most cited paper. This study provides a detailed overview of the field of BD drug treatment, highlighting key contributors, research hotspots, and future directions. The study findings can be employed as a reference for future research and policymaking, which may enable further development and optimization of BD pharmacotherapy.

Current trends in pain management: A bibliometric analysis for the 1980-to-2023 period.

There is currently no bibliometric analysis available regarding pain management (PM). The aim of this study was to monitor the advancement of the PM research field, demonstrate global productivity, identify the most highly cited studies, delineate collaborations between research areas and countries, and uncover new research topics and intriguing trends. A total of 16,216 articles on the subject of PM published between 1980 and 2023 were downloaded from the Web of Science database and analyzed using various bibliometric analysis methods. Trend keyword analysis, thematic evolution analysis, conceptual structure analysis, factor analysis, citation and co-citation analyses, and international collaboration analyses were conducted. The top 3 most active countries were the United States of America (n = 4021), the United Kingdom (n = 791), and Canada (n = 602). The most prolific author was Christine Miaskowski (n = 47). The most researched topics from the past to the present were chronic pain, opioids, analgesia/analgesics, cancer pain, postoperative pain, low back pain, opioid, cancer, acute pain, and self-management. Factor analysis identified key topics such as analgesia and various types of pain in the central factor, with additional subfactors including low back pain and physiotherapy, nursing, and postoperative anxiety and depression. In recent years, starting in 2020, trending research topics have shifted towards e-health, telemedicine, virtual reality, digital health, mental health, peripheral nerve blocks, erector spinae plane blocks, quadratus lumborum blocks, opioid use disorder, buprenorphine, musculoskeletal pain, COVID-19, cervicalgia, and interprofessional collaboration. In addition to Western countries with major economies in the field of PM (USA, Canada, Australia, and European countries), we identified China, India, and Turkey as research leaders. Our bibliometric analysis of 10,566 articles on PM reveals a significant growth in research, with recent trends focusing on e-health, telemedicine, virtual reality, and peripheral nerve blocks. These emerging technologies and personalized treatment approaches are shaping the future of PM.

Navigating the challenges of fake news and media trust: a bibliometric study

Purpose Fake News, a disruptive force in the information world, has been extensively researched across various academic domains. This study, however, takes a unique approach by using bibliometric analysis to explore the specific link between fake news and the erosion of media trust. The purpsose of this study is to introduce novel and unexplored research questions that have not been thoroughly investigated, opening up exciting avenues for future research. Design/methodology/approach A thorough bibliometric analysis was conducted on 480 papers published between 2015 and 2023, using VOSviewer and Biblioshiny software packages. These papers were sourced from the well-known electronic research database, Scopus. The study included cluster analysis, bibliographic coupling, citation analysis, content analysis, keyword analysis and a three-field plot, providing a robust examination of the research landscape. Findings The bibliometric content analysis gave eight research clusters in the area. Future research guidelines are proposed, followed by conclusions, limitations and research and management implications. (1) Distrust in media and populism; (2) Social media, conspiracy theories and COVID-19; (3) Fact-checking, misinformation and media dynamics; (4) Fake news, trust and political bias; (5) Polarisation, echo chambers and information bubbles; (6) Political communication and media trust; (7) Media literacy and mass communication; and (8) Disinformation, trust and political consequences. Research limitations/implications The analysis reveals gaps in existing literature, highlighting the need for comprehensive studies that explore the nuanced relationships between fake news and media credibility by using interdisciplinary approaches, combining insights from communication theory, psychology and sociology. This analysis can guide scholars in identifying new research directions. Practical implications Media organisations can use this knowledge to develop strategies that enhance their credibility and counteract the effects of fake news. Policymakers can design informed regulations to combat misinformation and protect public trust. Educators can integrate these insights into curricula to prepare future journalists and media professionals for the evolving landscape. Tech companies can leverage these findings to mitigate fake news and build media trust. Social implications Public trust in media is foundational to democratic societies. Understanding the dynamic of fake news helps recognise broader societal consequences, such as increased polarisation and decreased civic engagement. By addressing the issues, society can work towards restoring faith in the institution of media. Originality/value There is a lack of comprehensive research using bibliometric analysis to understand how the rise of fake news has affected the reputation of traditional media. This study makes a significant contribution, using a bibliographic lens to highlight key themes and pave the way for future research.

Green advertising: a hybrid literature review using citation and TCM analysis

Purpose Given the multifaceted nature of research in green advertising (GA), it is critical to holistically review the extant literature to understand their contributions. This study aims to perform a hybrid literature review by combining citation analysis and a theory-context-method (TCM) framework to map the conceptual development of GA in the past three decades. Design/methodology/approach Using the SPAR-4-SLR technique, the current study identified the literature contributions of 133 articles published between 1993 and 2024 in the Scopus and Web of Science databases. Findings The study’s findings identified that certain theories, such as attribution theory and signalling theory have been used frequently in investigating the influence of GA on consumer behavior. The context analysis identified emerging themes like green trolling and green demarketing. This study also proposes substantial avenues with alternative theories for further advancement of GA research. Research limitations/implications By conducting a hybrid literature review, this study identifies the highly cited articles and sources and provides a comprehensive synthesis of GA research. Practical implications Analysis of 133 articles from eight subject areas identified various themes in GA, aiding future researchers in identifying potential research opportunities and for marketers to develop appropriate strategies for their GA campaigns. Originality/value This study is the initial attempt to perform a hybrid literature review on GA using citation analysis and TCM framework.