Co-authorship Network Research Articles

Exploring Recent Trends in Agricultural Economics with a Focus on Agritech and Agribusiness

This research presents a comprehensive bibliometric analysis of current trends in agricultural economics with a specific emphasis on agritech and agribusiness. Leveraging advanced bibliometric tools, the study explores co-authorship networks, citation patterns, and thematic clusters within the scholarly literature. Key findings highlight influential authors, seminal publications, and emerging themes. The analysis sheds light on the evolving landscape of agricultural economics, emphasizing the transformative influences of technology and evolving business models. The results contribute to a nuanced understanding of the interdisciplinary nature of agricultural economics, offering valuable insights for researchers, policymakers, and practitioners navigating the complexities of modern agriculture.

Trends and Directions of Employee Experience: A Bibliometric Review for Future Research Agenda

In recent years, the ‘battle of talent’ in the job market emerged as a topic of consideration. It describes the scenario when firms have difficulty both attracting and recruiting talented individuals on staff. As a result, companies are under increased pressure to differentiate themselves from other employees, and improving the employee experience (EE) has been suggested as a potential remedy. The article’s main goals were to assess the global research trends in EE upon outputs of publications, countries, co-occurrences, co-authorships and citations. This article uses a bibliometric analysis of EE publications from 2001 to 2021. A total of 870 publications were deduced following data pre-processing as per the Scopus database. We investigate the parameters of publications using reputable bibliometric measures, and influential institutions and contributing journals are explored. Next, a visualization tool known as VOSviewer is applied to illustrate science mapping analysis. Co-occurrence analysis of keywords is developed to detect the imminent topic trends of the journal. To examine how items are connected, co-authorship networks and citation networks are undertaken. The discussion concludes with some recommendations for potential journal difficulties in the future. The article contributes to the enlargement of EE in the research sector.

Social Networking Technologies in SMEs: A Bibliometric Analysis

ABSTRACT The increasing popularity of social networking for small-and-medium enterprises (SMEs) has resulted in a significant body of research. This study conducts a bibliometric analysis to identify the intellectual structure of the research domain and the major research themes within the domain. Based on a sample of 1710 prior studies published between 2010 and 2021, this study identifies the leading authors, institutions, countries, keywords, and co-authorship networks. Further, SME social media marketing, SME social media performance, and SME social media innovation are identified as the major themes of research. This study identifies the critical areas and potential directions for future research.

Scientific and academic contributions of professor Enric Brillas through an analysis social network analysis and data science

This work describes the scientific and academic contributions of Professor Enric Brillas through the analysis of Social Network Analysis and data science. The study examines the research collaborations and co-authorship networks of Professor Brillas, indicating his active engagement and up-to-date collaborations with key co-authors, including Ignasi Sirés and Pere.L. Cabot. The analysis also reveals Professor Brillas' significant research focus on water treatment and related concepts such as oxidation-reduction, Fenton reactions, photoelectro-Fenton, and electrocatalysis. Furthermore, the most cited and recent articles by Professor Brillas are identified and discusses. Overall, the research demonstrates Professor Brillas' notable contributions to the field of electrochemical water treatment and highlights his ongoing research and collaborations in this area.

An assessment of blockchain academia and news developments: a bibliometric and text-mining analysis

PurposeThis study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.Design/methodology/approachTo identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.FindingsThe findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.Research limitations/implicationsSince Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.Originality/valueThis study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

The Performance of Corporate Social Responsibility Communication in the Web2.0 Era: A Bibliometric Analysis of CSR Communication in Social Media Field

With the advent of the web2.0 era, the role of CSR communication in social media has become a hot topic in research and business. However, research on the topic in this area is still relatively new and has not been fully researched. In this study, citespace software is used to analyze the performance of literature in this field. The main results show that the use of social media for CSR communication is a long-term and significant research topic. According to the analysis of 490 research articles in this field from 2007 to 2023, the research trend shows an increasing state year by year, and the explosive growth began in 2017. The United States, China and Spain are the countries that contribute the most in this field. Perez Andrea, Camilleri, Mark Anthony and others are among the most influential authors. The network of co-authors is decentralized, while transnational cooperation takes the form of institutions and groups. Twelve clusters of high concern were identified, with "institutional theory," "web," and "citizenship" having been around longer. The changes in 19 burst terms over 17 years (2007 to 2023) indicate the evolution of the research frontier in the field, with the earliest "institutional theory" moving to "web," "image," then "citizenship," "perspective," and more. "loyalty" and "satisfaction" etc. The evolution can be divided into three phases: the initial phase (2007-2011), the debate phase (2012-2017), and the research specialization phase (2018-2023). Finally, the contribution, limitation and further research direction of this paper are discussed.

Exploring international collaboration and language dynamics in Digital Humanities: insights from co-authorship networks in canonical journals

PurposeThis paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.Design/methodology/approachThrough an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.FindingsThe results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).Originality/valueThis study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.

Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model

Citation counts is a crucial factor in evaluating the quality of research papers. Therefore, it is vital to accurately predict citation counts and explore the mechanisms underlying citations. In this study, we focus on predicting the citation counts in the field of statistics. We collect 55,024 academic papers published in 43 statistics journals between 2001 and 2018. Furthermore, we collect and clean a high-quality dataset and then construct multi-layer networks from different perspectives, including journal networks, author citation networks, co-citation networks, co-authorship networks, and keyword co-occurrence networks. Additionally, we extract 77 factors for citation counts prediction, including 22 traditional and 55 network-related factors. To address the issues of zero-inflated and over-dispersed citation counts, a neural network model is designed to achieve high prediction accuracy. Furthermore, we adopt a leave-one-feature-out approach to investigate the importance of these factors. The proposed neural network model achieves an MAE value of 7.352, which outperforms other machine learning models in the comparison. Thus, this study provides a useful guide for researchers to predict citation counts and can be easily extended to other research fields.

The power of partnership: Exploring collaboration dynamics in U.S. transplant research

IntroductionCollaboration is one of the hallmarks of academic research. This study analyzes collaboration patterns in U.S. transplant research, examining publication trends, productive institutions, co-authorship networks, and citation patterns in high-impact transplant journals. Methods4,265 articles published between 2012 and 2021 were analyzed using scientometric tools, logistic regression, VantagePoint software, and Gephi software for network visualization. Results16,003 authors from 1,011 institutions and 59 countries were identified, with Harvard, Johns Hopkins, and University of Pennsylvania contributing the most papers. Odds of international collaboration significantly increased over time (OR 1.03; p ​= ​0.040), while odds of citation in single-institution collaborations decreased (OR 0.99; p ​= ​0.016). Five major scientific communities and central institutions (Harvard University and University of Pittsburgh) connecting them were identified, revealing interconnected research clusters. ConclusionsCollaboration enhances knowledge exchange and research productivity, with an increasing trend of institutional and international collaboration in U.S. transplant research. Understanding this community is essential for promoting research impact and forming strategic partnerships.

The structure of segregation in co-authorship networks and its impact on scientific production

Co-authorship networks, where nodes represent authors and edges represent co-authorship relations, are key to understanding the production and diffusion of knowledge in academia. Social constructs, biases (implicit and explicit), and constraints (e.g. spatial, temporal) affect who works with whom and cause co-authorship networks to organise into tight communities with different levels of segregation. We aim to examine aspects of the co-authorship network structure that lead to segregation and its impact on scientific production. We measure segregation using the Spectral Segregation Index (SSI) and find four ordered categories: completely segregated, highly segregated, moderately segregated and non-segregated communities. We direct our attention to the non-segregated and highly segregated communities, quantifying and comparing their structural topologies and k-core positions. When considering communities of both categories (controlling for size), our results show no differences in density and clustering but substantial variability in the core position. Larger non-segregated communities are more likely to occupy cores near the network nucleus, while the highly segregated ones tend to be closer to the network periphery. Finally, we analyse differences in citations gained by researchers within communities of different segregation categories. Researchers in highly segregated communities get more citations from their community members in middle cores and gain more citations per publication in middle/periphery cores. Those in non-segregated communities get more citations per publication in the nucleus. To our knowledge, this work is the first to characterise community segregation in co-authorship networks and investigate the relationship between community segregation and author citations. Our results help study highly segregated communities of scientific co-authors and can pave the way for intervention strategies to improve the growth and dissemination of scientific knowledge.

Global trends, research progress and knowledge mapping of plant–pollinator interactions through bibliometric analysis (1984 to 2023)

ABSTRACT Plant–pollinator networks are one of the key species interactions necessary for maintaining ecosystems, ecosystem services, and the economic benefits they bring. The main aim of this investigation is to identify the global trends and research progress in the domain of plant–pollinator interactions including global co-operation, research hotspots, main authors, the number of publications, highly cited articles, and various trends in the last 40 years. Published literature on plant–pollinator interactions was obtained from the Scopus database. Software such as biblioshiny and VOSviewer was used for visualization and analysis of data including co-authorship, co-citations, and co-occurrence networks. In total, we evaluated 3376 publications published from January 1984 to May 2023, and found that 2019 was the most productive year, with an overall growth rate of publications at 13.11%, indicating a positive increase in publications in the future. The outcome of the study will contribute to future research areas of interest and provides emerging hot topics that can leverage future research.

Digital tourism research: a bibliometric visualisation review (2002–2023) and research agenda

Purpose This study aims to review the diversified existing literature on digital tourism from 2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific structure of digital tourism and sets the future research agenda. Design/methodology/approach A detailed search of 646 SSCI articles collected from the Web of Science Core Collection (WOSCC) database was analysed through CiteSpace. Findings The findings indicate that developed countries are at the core of the co-authorship network, although developing countries represented by China increasingly contribute valued research findings. The conceptual structure of digital tourism mainly evolves from exploration (2002–2006), and acceleration (2007–2014), to diversification (2015-2023), with the most recent focus on consumer-oriented value creation and potential technological risks. Three well-established thematic groups have been identified, namely, technological innovation and application, destination digital management and consumer value creation. Constructive insights for future research are also offered, including digital scenarios, digital production and digital governance. Practical implications The research helps scholars and practitioners grasp the current issues and needs of digital tourism and provides a guide for policymakers in the tourism industry who seek to intelligently improve tourism performance. Originality/value This study thoroughly evaluates 22 years of digital tourism literature through bibliometric analysis. It creates a framework for understanding how digital tourism is theorised and developed and indicates future research directions.

Exploring the Dynamics of Ecosystem Balance Research: A Bibliometric Analysis to Uncover Research Focus and Disciplinary Contributions

Ecosystem balance is a central concept in ecological research, with far-reaching implications for understanding and managing our natural world. This study employs bibliometric analysis to explore the dynamics of ecosystem balance research, uncover emerging trends, and identify the disciplinary contributions that shape this critical field. Leveraging an extensive dataset of scholarly publications, we examine the temporal evolution of research, geographic distribution, co-authorship networks, citation patterns, keyword co-occurrence, and disciplinary mapping. Our findings reveal a robust and multidisciplinary landscape, characterized by increasing global interest, collaborative research clusters, and influential publications. Key themes include carbon balance, ecosystem services, ecological equilibrium, and the interplay between human development and natural systems. This study provides valuable insights into the evolving ecosystem balance research domain, guiding future investigations and fostering interdisciplinary collaboration to address pressing environmental challenges.

Operasi Bisnis Transnasional dan Pembangunan Berkelanjutan: Eksplorasi Bibliometrik tentang Tanggung Jawab Sosial Perusahaan, Praktik Etis, dan Dampak Lingkungan

Achieving sustainable development in an era of transnational business operations requires a multidimensional understanding of the interactions between corporate practices, ethical considerations, and environmental impacts. This bibliometric analysis investigates the scholarly landscape of this multifaceted field, offering insights into key themes, influential works, and emerging trends. This study reveals a complex tapestry of research at the intersection of corporate social responsibility, ethical practices, and environmental sustainability by examining co-authorship networks, co-citation patterns, co-occurrence of keywords, and temporal shifts. Key publications, such as Elkington's triple bottom line framework and Mowforth and Munt's exploration of sustainable tourism, emerge as foundational pillars in the discourse. The analysis further highlights the importance of concepts such as sustainable growth, innovation, and the role of the private sector in driving sustainable development. As transnational corporations continue to shape the global economic landscape, this research provides essential foundations for informed decision-making and ongoing scientific inquiry for a sustainable future.

Research trends in readiness for hospital discharge between 2002 and 2021: A bibliometric analysis.

This study aimed to undertake a bibliometric analysis to provide comprehensive information in demonstrating the current status and outline the overall trends in the area of readiness for hospital discharge (RHD). A bibliometric and visual analysis of RHD literature was undertaken. Articles were retrieved from the Web of Science network from 2002 to 2021. VOSviewer was used to identify the co-authorship network of countries/institutions, co-authorship and co-citation analysis of authors, and co-citation analysis of references and citation analysis of documents. CiteSpace was used to identify the keyword co-occurrence network and perform cluster analysis, detecting the keywords with citation bursts and speculated frontiers in this research field. A total of 512 articles were included in the final analysis. Key findings are: (1) There has been a continuous but somewhat fluctuating rise in the number of publications. (2) 56.05% of publications come from the USA with Marquette University making the highest contribution. (3) Most publications (17, 3.32%) in RHD research were from the Journal of Clinical Nursing, and Anaesthesia and Analgesia had the highest number of citations (584 citations). (4) Weiss ME (25, 4.88%) was the most productive author whose articles have been the most highly cited (646 citations). (5) Cited references from Weiss ME (2007) also made the largest contribution to co-citations, and the most cited reference was from Jack BW (2009) (1022 citations). (6) The 20 most frequent keywords and keywords with the strongest citation bursts were retrieved. There were seven research hotspots, and three emerging research frontiers were explored. The bibliometric analysis of material published in the last 20 years indicates that there have been statistically significant gains in comprehensive information on RHD, including the knowledge mapping of the countries, institutions, authors, references and keywords. The hotspots and frontiers, which have been explored can give guidance to researchers as to new angles and directions to take. The effects of the implementation of ERAS on RHD-related risk for adverse post-discharge outcomes in surgical patients will be of increasing concern for healthcare professionals. It is important for patients and their relatives to be confident that on discharge they are sufficiently ready for hospital discharge to enable them to safely and smoothly make the transition to home. Improving the level of RHD in discharged patients can help nurse managers and researchers measure the effectiveness of discharge planning services.

Bibliometric Analysis of the Influence of Academic Research on HRM Strategy, Employee Performance, and Organizational Success Globally

This bibliometric analysis explores the profound influence of academic research on Human Resource Management (HRM) strategy, employee performance, and global organizational success. Leveraging a comprehensive dataset from reputable academic databases, the study employs bibliometric techniques to analyze patterns of publication, citation, collaboration, and keyword trends within the HRM research domain. The findings reveal a multifaceted landscape of HRM scholarship. Co-authorship network analysis identifies prolific authors and research clusters, highlighting the collaborative nature of HRM research. Citation analysis uncovers highly influential publications, showcasing the impact of seminal works on HRM theory and practice. Keyword analysis unveils emerging research themes, reflecting the field's responsiveness to evolving challenges and trends. Notably, the analysis underscores the significance of evidence-based HRM practices and the global context in which HRM operates. It recognizes the role of academic research in shaping HRM strategies that enhance employee performance and contribute to global organizational success. This study provides valuable insights for HRM practitioners, researchers, and organizational leaders by offering a comprehensive overview of the evolving HRM landscape. It emphasizes the importance of collaboration, the influence of seminal works, and the dynamic nature of HRM research. Understanding these dynamics is pivotal for advancing HRM scholarship and driving organizational excellence in a globalized world.

Bibliometric Analysis of Social and Environmental Innovation Research Developments: Trend Identification, Key Concepts, and Collaboration in the Scientific Literature

A thorough bibliometric analysis is conducted in this study to investigate the state of social and environmental innovation research. The present study aims to identify developing trends, significant concepts, and collaboration networks in the subject by a thorough survey of scholarly literature. The analysis offers a comprehensive picture of the changing conversation around social and environmental innovation by incorporating a wide range of publications, such as reports, conference papers, and journal articles.The data shows a notable rise in publications over time pertaining to social and environmental innovation, indicating the field's increasing significance in tackling global issues. Research on social and environmental innovation is by its very nature interdisciplinary, incorporating elements from the social sciences, economics, business, and environmental science. This multidisciplinary approach makes it possible to fully comprehend difficult problems and come up with creative solutions. The existence of collaborative networks among scholars is highlighted by co-authorship network analysis. These networks make it easier to share knowledge, cross-pollinate concepts, and create all-encompassing solutions. The report highlights a number of topics related to emerging research, such as the role of technology in promoting social and environmental innovation, the circular economy and sustainable business models, inclusive entrepreneurship and social innovation, and sustainable supply chains. Researchers, practitioners, and policymakers can all benefit from the understanding this analysis provides. This information can be used by policymakers to guide the creation of laws that encourage environmental and social innovation. Experts are able to recognize new trends and recommended procedures. Scholars are able to pinpoint gaps in existing research and avenues for further investigation.

Bibliometric analysis of scientific research about agroecological strategies

Objective: To analyze the spatio-temporal evolution of scientific production on the topic of agroecological strategies in the world, through text mining (bibliometrics) and coauthorship networks to determine gaps in research. Design/methodology/approach: To compile the texts, the database of open-access articles from Web of Science was reviewed. The texts were collected in September 2021, and texts available until August 2021 were considered. The keyword used in the search was strategies agroecological identifying it in the titles and keywords of the publications. Results: In the databases, 463 scientific texts were collected from bibliographic references of Web of Science within the period of 1987 to 2021. Of these, 90.93% (421) were concentrated in six countries: USA (34.77%, 161), Netherlands (19.22%, 89), England (15.55%, 72), Switzerland (12.53%, 58), France (4.54%, 21) and Germany (4.32%, 20). Limitations on study/implications: Most of the studies have been centered on techniques for agricultural sustainability, so topics associated with the creation of early climate information systems and disaster prevention and mitigation projects are presented as an opportunity for the development of more research. Findings/conclusions: The study shows that in developing countries such as those in Latin America, where Mexico, Argentina, Chile and Brazil are located, there is scarce research development in topics of agroecological strategies, leaving a wide margin to generate knowledge in the region.

Performance and applications of lightweight geopolymer and alkali activated composites with incorporation of ceramic, polymeric and lignocellulosic wastes as aggregates: A review

As the construction industry moves towards greater sustainability, the application of more durable and environmentally friendly materials, capable of providing comfort in buildings and infrastructure, is a key element to consider. In this context, the use of alkali-activated binders (AAB) and geopolymers (GP), which have a lower carbon footprint than ordinary Portland cement (OPC), has emerged as an important alternative. Moreover, the addition of waste-based lightweight aggregates (LWA) to AAB and GP matrices produces lightweight composites that offer enhanced mechanical performance and improved comfort as building materials, while offering an alternative use to the increasing number of waste materials from diverse sources. This paper presents a comprehensive review of the literature on the above-mentioned topics (waste LWA in an AAB/GP matrix) published between 2012 and 2023, mainly indexed in the Scopus database. The waste-based LWA reported in the literature were categorized, and their properties and morphology presented. Then, the influence of the size, quantity, and nature of the LWA on the composite's properties and performance was analyzed. Fresh state performance, mechanical performance, density, and thermal and acoustic insulation were considered. This review is complemented by a bibliometric analysis, where keyword correlation and co-authorship networks on this field are established. The review highlights the potential of cementitious composites including waste-based LWA as a sustainable building material for structural and non-structural applications. However, more studies are required to further understand the behaviour of these composites under innovative manufacturing processes, such as extrusion and 3D printing.

Bibliometric Analysis of Food Fraud

Food fraud threatens consumer health, food integrity, and global food supply systems, making it a global issue. Recently, bibliometric analysis has become a useful method for appraising studies in food science and fraud detection. This systematic review employs bibliometric tools to examine food fraud research trends, notable authors, and significant research issues. This investigation searches different scientific databases for relevant 1931–2023 papers. VOSviewer was used to show co-author networks, keyword co-occurrence, pattern quotations, and other bibliometric indicators. The bibliometric study shows a decade-long growth in food fraud studies. This food fraud detection bibliometric study covers the research landscape. These studies help food fraud researchers, policymakers, and other stakeholders discover research trends, prominent authors, significant work, and collaborative networks. These findings can inform future research, information exchange, and evidence-based food safety and consumer protection decisions.