Bibliometric Analysis Approach Research Articles

Bibliometric Mapping of Factors Influencing Compliance in Nursing Care Documentation

ABSTRACT Accurate and complete nursing documentation plays an important role in ensuring the quality of nursing care and patient safety. However, adherence to documentation standards among nurses often remains a challenge that affects the overall quality of medical records and clinical interventions. This study was conducted to map research trends and factors affecting compliance in nursing documentation through a bibliometric analysis approach. The main objective of this study was to identify the main topics, key factors, as well as emerging publication trends related to nursing documentation compliance over the past few years. This study used the Publish or Perish application to collect 50 scientific articles published between 2016 and 2024, with keywords such as "compliance", "completeness", and "nursing care documentation". The data obtained was then analyzed using VOSviewer to visualize the bibliometric network based on the keywords that appeared in the literature. Through Network Visualization, Overlay Visualization, and Density Visualization, this study identified the main keywords such as "completeness", "motivation", "knowledge", and "compliance" that were most frequently discussed in related studies. The results of the analysis showed that documentation completeness and its influencing factors, such as nurse motivation and knowledge, are the main focus in the documentation compliance literature. In addition, the publication trend shows a significant increase in 2020 and 2021, most likely related to the COVID-19 pandemic situation that drives increased attention to the quality of documentation in healthcare. The conclusion of this study shows that adherence in nursing documentation, specifically related to the completeness, motivation, and knowledge of nurses, is an important topic that continues to grow in research. Although technologies such as electronic medical records are also relevant, the focus of research seems to be more on behavioral factors that influence documentation quality. This study provides guidance for researchers to identify gaps in the literature that could be further explored, especially in the development of more effective and integrated documentation systems. Keywords: Compliance, Completeness, Nursing Care Documentation, Motivation, Knowledge

A Decade in Blockchain: A Bibliometric Reflection on the Growth and Interdisciplinary Reach of a Disruptive Technology

This study seeks to deliver a comprehensive bibliometric analysis of blockchain research undertaken from 2013 to 2023. It seeks to map the field’s evolution, highlight emerging trends, and identify key contributors and thematic areas. Understanding these aspects is crucial for guiding future research and policymaking in the rapidly growing domain of blockchain technology. The study utilises a systematic bibliometric analysis approach and the Scopus database was used for collecting data. The analysis includes keyword trends, citation patterns, author productivity, and network analysis. The results reveal significant expansion and diversification in blockchain research, with 13,369 publications and 52,009 contributing authors. Key metrics include a total citation count of 266,483 and an average of 19.93 citations per paper, underscoring the field’s scholarly impact. The study identifies core research themes such as smart contracts, security, IoT integration, and emerging topics like AI and sustainability. The findings highlight the interdisciplinary nature of blockchain research and its global distribution, with notable contributions from China and the United States. The study’s reliance on selected databases and predefined keywords may exclude relevant grey literature and industry reports. Future research should integrate these sources for a more complete view. This study provides a panoramic view of blockchain research, offering valuable insights into its development, current state, and future directions. Identifying key trends, influential contributors, and emerging themes contributes to the academic discourse and supports strategic planning for researchers, practitioners, and policymakers engaged in blockchain technology.

Mapping The Growth of ESG Research: A Bibliometric Analysis Using Bradford's, Lotka's, and Zipf's Laws

Objective: The objective of this study is to investigate the growth and development of research on Environmental, Social, and Governance (ESG) factors using bibliometric analysis. The aim is to understand the publication trends in ESG research and identify influential authors, key themes, and opportunities for future studies. Theoretical Framework: The research is grounded in key bibliometric laws such as Bradford's law (journal productivity), Lotka's law (scientific productivity of authors), and Zipf's law (word frequency analysis). These laws form the basis of the study and provide a solid framework for understanding the evolution of ESG research. Method: This study adopts a bibliometric analysis approach, using data from the Web of Science and Scopus databases. A total of 699 articles from 345 journals and 1,574 authors were analyzed. Techniques like citation analysis, co-citation analysis, bibliographic coupling, and network analysis were employed to assess publication patterns and collaborations. Data was processed using R software and Bibliometrix. Results and Discussion: The results reveal a significant increase in ESG-related publications, particularly after 2013, with annual growth of 39.97%. The study identifies influential authors, such as Hebbe and Buallay, and explores the themes of sustainability, corporate social responsibility, and governance. In the discussion, the results are contextualized within the broader ESG framework, highlighting the role of ESG in corporate behavior and investment strategies. Research Implications: The study provides insights into how ESG research can inform policy-making and corporate decision-making. The findings highlight the importance of ESG factors in sustainable development and suggest future research avenues in areas like digital transformation, entrepreneurship, and innovation. Originality/Value: This study contributes to the literature by offering a comprehensive overview of ESG research, utilizing innovative bibliometric techniques to track its evolution. The originality lies in the use of multiple bibliometric laws to analyze ESG trends, making it valuable for researchers and practitioners looking to understand current and future directions in ESG.

How research contributions of professor Jiju Antony have influenced the field of quality management: an appraisal and critique

PurposeThe purpose of this study is to apply bibliometric techniques to critically examine the contributions of Professor (Dr) Jiju Antony in the domain of quality management research over a period close to 30 years (i.e. 1995 to 2023).Design/methodology/approachThe study incorporates a bibliometric analysis approach using VoSviewer software package to critically examine the contributions and trends in publications on Scopus indexed publications of Antony, followed by an industry wide evaluation of contributions made. Thematic analysis of the bibliographic data was imported in comma-separated values (CSV) format by selecting Antony (last name) and Jiju (first name) in the author search tab in Scopus. The search was made on September 09, 2023 and bibliographic records of 429 documents were considered for the analysis. The analysis was carried out in terms of most frequent keywords used, sources with most frequent publications, thematic analysis of most cited works and global collaborations.FindingsAntony has focused his research interest largely in the domain of quality management, publishing his research in top rated journals in the domain with a broad network of international collaborators. Antony has received 18,802 and 40,947 citations in Scopus and Google Scholar, respectively. This signifies the impact that Antony has created through his research publications. His major contributions are on the topics of six sigma, lean six sigma, continuous improvement, critical success factors and quality management practice implementations in various organizations. Diverse methodologies both qualitative and quantitative were utilized to conduct his research. However, his body of work is not without criticism. Such criticism includes the limited scope of work, with narrow focus on ISO 9001 and QMS standards, Total Quality Management (TQM). Critique also highlights the necessity for more depth, following insufficient exploration of distinctions between TQM and operational excellence (OPEX) methodologies like lean, six sigma, kaizen and agile. Antony’s work has yet to consider a diverse range of industry sectors, in terms of implementation of quality management principles, geographical location, the impact of national culture on corporate performance and explore data quality influence on decision-making. Notably, there is clear opportunity to consider the service sector in future research.Originality/valueTo best of the authors’ knowledge, there are few previous studies conducted using bibliometric analysis for analyzing the work of an individual. Therefore, the present study aims to set a trend whereby bibliometric analysis can be used to recognize and critically asses the contributions of other researchers in their respective domains.

Current research trends in child poverty and psychological resilience research: A bibliometric analysis approach

AbstractThe first of the sustainable development goals is to end poverty by 2030. Although many individual, social, and psychological resources have been proposed to reduce poverty, little is known about psychological resilience factors and related variables in reducing it. While the literature on childhood poverty and psychological resilience indicates that there was a relationship between these variables, it also draws attention to the fact that a growing interest in the need to consider psychological factors in reducing child poverty. Contextually, this study is bibliometric research that aims to reveal the current research trends about child poverty and psychological resilience. The researcher reviewed the Web of Science to highlight current trends in child poverty and resilience research and found 1065 relevant documents that met the inclusion criteria. The research used co‐occurrence, citation, and bibliographic coupling techniques from the bibliometric analysis type. Research results showed that poverty, resilience, children, protective factors, youth, parenting, COVID‐19, stress, and mental health were the nine significant clusters where the poverty and resilience keywords were gathered (items = 120, links = 988, total link strength = 1646). The United States had the most publications and was the most collaborative country. The most associated SDG target was good health and well‐being. Research trends underline that the five most studied keywords were resilience, poverty, children, health, and risk. Thematic map results indicated that socioeconomic status, childhood, and adjustment topics were important, well‐developed, and structuring themes, while resilience, poverty, and children topics were essential themes but still needed to be well‐developed. The research findings highlight the importance of resiliency factors that can potentially reduce child poverty. The results also give researchers essential insights into socioeconomic, mental, psychological, and environmental factors that they can use in their intervention practices holistically in reducing child poverty.

Developing Computational Thinking through Mathematics Learning in Indonesia: Scientific Mapping and Bibliometric Analysis

This research aims to explore and map the teaching methods used in developing Computational Thinking (CT) through mathematics learning in Indonesia, using a bibliometric analysis approach. Based on a literature review from Scopus and Sprott-indexed databases, this research analyzes trends, contributions and challenges in the implementation of CT at various levels of education. Teaching methods such as Scratch, Problem-Based Learning (PBL), Augmented Reality (AR), and robotics were identified as the most effective strategies in improving students' computational thinking skills. The findings show that the majority of publications published in educational and CT-related sources about teaching mathematics are mostly about teaching computational skills and teaching computer programming using practice and algorithmic thinking, although these methods have had a significant impact, some limitations, such as lack of instrumentation, limited technological resources, and curriculum adaptation are still challenges. This analysis also highlights opportunities for further research in developing more comprehensive evaluation instruments and improving technology access in computational education. It is hoped that the results of this research can provide guidance for educators, policymakers and researchers to increase the integration of CT in the mathematics curriculum, as well as expand the scope of computational research in the Indonesian educational context. This research opens new insights to overcome barriers and optimize the potential of CT in the future.

Research trends and hot topics of wearable sensors in wound care over past 18 years: A bibliometric analysis

ObjectiveThis study determined the development trends, analyzed collaboration networks, and identified research hotspots in the field of wearable sensors for wound care from 2007 to 2024 using a rigorous bibliometric analysis approach. MethodsBibliometric and scientometric analyses were performed utilizing data sourced from the Web of Science Core Collection database. This study examined publication trends, contributions from various countries and institutions, author productivity, keyword prevalence, and citation patterns to discern research hotspots and potential future avenues in the application of wearable sensors for wound care. ResultsThis study included 1177 articles, which demonstrated a marked increase in publications since 2016 and underscores the burgeoning interest in wearable sensors for wound care. China and the United States have emerged as prominent contributors to the research field, exhibiting numerous international collaborations. An analysis of keywords and citation bursts highlighted wound healing, hydrogels, and sensors as the key research foci with recent trends shifting towards the integration of wearable technology with advanced materials and artificial intelligence for advanced wound management. The research landscape is characterized by a diverse network of international collaborations and an emphasis on interdisciplinary approaches that integrate materials science, sensor technology, and clinical applications. ConclusionThe utilization of wearable sensors in wound care constitutes a rapidly progressing area of research, garnering significant interest and promising avenues for future advances. The integration of wearable sensors with advanced materials and AI technologies presents a frontier of opportunity for innovating wound care methodologies, enhancing patient outcomes, and optimizing the allocation of healthcare resources.

A Bibliometric Analysis of 4Cs Implementation in Teaching and Learning

Bibliometric research offers a thorough picture of its study subject, identifies gaps in the field, encourages the development of new ideas, and makes contributions to research disciplines that are related to it. For the purpose of providing in-depth information regarding the development and direction of 4C research in the educational setting, this research was carried out. After doing a search for scientific publications on the 4Cs issue that were indexed by Scopus, the research was carried out using a bibliometric analysis approach. A total of 81 articles that were related to the topic were acquired, and these articles were then examined using Vos Viewer and visualized. 21st-century talents is the keyword that appears the most frequently in relation to the 4Cs, as indicated by the findings of the research, which shows that it appears 25 times. Research that has been carried out over the course of the past five years reveals an increase that is expected to continue to increase in the years to come. The utilization of digital learning environments is the research potential that can be created in relation to the 4C

Mapping research trends in physical education pedagogies: a bibliometric analysis using scopus database

This study aims to provide a comprehensive and systematic review of research trends in applying pedagogical models in physical education (PE) pedagogy. Furthermore, there are ongoing challenges facing teaching and learning in PE to deliver effective learning and achieve current learning objectives. This study used a bibliometric analysis approach by examining publication growth patterns, distribution of publication growth, distribution of authors, countries, affiliations, and network analysis based on the appearance of keywords. A search for articles in the Scopus database with specific keywords related to PE pedagogy yielded 419 relevant articles analyzed using CSV and VOSViewer applications. The results revealed a positive trend of increasing the number of published articles starting in 2018 and peaking in 2022. Keith Davids is a famous and influential author with the most publications and the highest citations. His article titled Algorithmic Skin: Health-tracking Technologies, Personal Analytics and the Biopedagogies of Digitized Health and Physical Education, written by Ben Williamson, was the most popular article with 123 citations. China has the most productive authors, and the United Kingdom is the country of origin for the most popular authors with the highest citation rates. The current and emerging trends demonstrate the integration of innovative teaching practices, alternative pedagogical approaches, and the promotion of holistic student development to cope with the development of PE. At the same time, the co-word analysis presents further research streams that include technology utilization and integrative approaches to transformative PE. In conclusion, this study has practical and theoretical implications in the research and practice of physical education pedagogies to identify integration and strategies and PE pedagogies. Keywords: physical education pedagogy; the trend of research; the integration of innovative and alternative pedagogical approaches; technology utilization and integrative approaches

ChatGPT for Sustainability Reporting Research: A Bibliometric Analysis of Scholarly Output

Sustainability reporting refers to the study of disclosing information about an organisation's social, environmental and economic performance to meet stakeholder expectations regarding sustainability. This article aims to discover (1) how research on sustainability reporting grows yearly. (2) What are the trends and gaps in the study of sustainability reporting? and (3) Who are the most influential writers in the study of sustainability reporting, and how do they collaborate? ChatGPT was used to answer the objectives of this research. The ChatGPT AI chatbot can significantly assist in assessing and reviewing research on sustainability reporting. The method used is a combination of Chatbot AI ChatGPT and bibliometric analysis. While data analysis uses VOSviewer, Publish or Perish, and biblioMagika® software. The results of the study show that there is a significant increase in studies regarding sustainability reporting. Researchers collaborate through various academic activities, such as joint research, writing joint articles, and conferences. In principle, these results should be applicable across research domains. From these findings, the theoretical implication is adding to the sustainability reporting literature, with a bibliometric analysis approach using chatGPT. There are advantages to idea generation and data identification. However, technologically the synthesis of literature is still weak. The researcher's expertise in communicating with AI ChatGPT is a key factor in determining the quality of the output. This new technology needs to consider its implications, especially its ethical implications.

Bibliometric Analysis of Cultural Event Publications (2001-2023)

Scholars from all around the world are paying more and more attention to cultural event studies as evidenced in several academic publication databases. The existing studies are mainly based on empirical studies using surveys and interviews, and some are based on conceptual papers. However, bibliometric analysis of cultural events has been largely neglected. This study uses a bibliometric analysis approach to get an overview of the landscape, development, and trends of cultural event studies. In addition to that, a bibliometric analysis also enables the researcher to identify prominent authors, institutions, and countries that actively participated in the cultural event studies. This study also aimed at establishing a series of visualization maps using VOSviewer software that displays the links between authors, institutions, and keyword occurrences. A total of 3,578 scientific documents relating to cultural events in various forms were retrieved from the Elsevier Scopus database. Using this database, the bibliometric analysis has been able to identify some prominent authors in this field, the most productive institutions, frequent keywords, top funders, and so on. In conclusion, this paper also provides some key information for future researchers in identifying important research gaps by examining the keyword occurrences relating to cultural events.

Bibliometric analysis of global research in palliative care for cervical cancer.

The present study aims to conduct a comprehensive bibliometric analysis of global research in palliative care for cervical cancer, providing insights into publication trends, authorship patterns, influential journals, and thematic concentrations. A bibliometric analysis approach was employed using metadata extracted from Scopus spanning 2000-2023. The search utilized main terms related to cervical cancer and palliative care. Data analysis and visualization were performed using the Bibliometrix R Package's web app Biblioshiny and VOSviewer software. The study identified 2,492 publications on palliative care for cervical cancer, with a notable peak in 2021. The analysis revealed a diverse publication landscape, encompassing primarily articles. Citation analysis showed a staggering 63,994 citations. The most relevant journals were The Lancet Oncology, Gynecologic Oncology, and International Journal of Gynecological Cancer. The study also highlighted influential authors, institutions, and countries, with Harvard University, the University of Toronto, and the University of Texas MD Anderson Cancer Center leading in publications. The findings reflected a growing interest in palliative care for cervical cancer, marked by increasing publications over the years. However, the analysis indicated limited international collaborations, with research efforts concentrated in high-income countries. Thematic areas include surgery, palliative care, chemotherapy, radiotherapy, and quality of life. Thus, further collaborations and research in developing countries are needed. This bibliometric analysis showcased a comprehensive overview of the global research landscape on palliative care for cervical cancer. The study identified trends, key contributors, and thematic concentrations, offering valuable insights for future research directions and enhancing palliative care services. Addressing the identified gaps, fostering international collaborations, and directing research efforts toward developing countries can contribute to the advancement of palliative care for cervical cancer globally.

The Bibliometric Analysis of Bank Stability

The central role of banks in the economy has been getting more attention since the global crisis occurred in 2008 which was caused by the bankruptcy of large banks in the United States. The collapse of the economic system has had implications for high recovery costs so efforts to maintain bank stability must be thought continuously. The studies to analyze literature reviews on the subject of bank stability have never been specifically conducted therefore this study aims to determine and analyze literature mapping on bank stability by meta-data network and studies trends over the last 10 years (2013-2023). We used a literature review study method (a bibliometric analysis approach) to review 165 articles during the observation period. The results of this study shows that studies of bank stability associated with other keywords such as monetary policy, bank profitability, shadow banking, and price stability are still rarely conducted. Then, based on the development of studies trends over 2013-2023 shows a downward trend. This also opens up space for the study of bank stability considering that its existence is needed to prevent a global economic crisis. Furthermore, based on the density visualization, it shows that themes that are rarely associated with bank stability are efficiency, commercial bank, systemic rice, and price stability so these three variables could become study opportunities in the future.

A Bibliometric Analysis of Biodiversity Reporting in Accounting

Purpose:Over the years, biodiversity reporting has received increasing interest due to its importance in understanding our impact on the environment and biodiversity loss. The purpose of this study is to present a bibliometric analysis of emerging and relevant publications on biodiversity reporting in accounting.Methodology:This study synthesizes previous works of literature on biodiversity reporting in accounting using the bibliometric analysis approach. The data covering the period of 1996 - 2021 was collected using the Scopus database to ascertain the publications, countries, authors, keywords, and journals that have contributed to the body of knowledge. VOSviewer software was used as a visual output for the relevant data points and interpretation.Findings:The findings showed that biodiversity reporting in accounting is still an emerging topic, and there are continued maturing interests.Implication:This paper concludes by highlighting the main trends in research on biodiversity reporting and offers potential opportunities for future research in this field.

A Systematic Bibliometric Analysis of Value Chain Literacy for Competitive Advantage: Trends and Future Perspectives

This study aims to explore the literature related to value chain literacy and its impact on competitive advantage through a systematic bibliometric analysis approach. In an era of globalization and fierce competition, a deep understanding of how to manage and optimize value chains is essential for companies looking to achieve and maintain a competitive advantage. Using the Scopus database, this study identifies research trends, main topics, and main contributions in this field over the past decade, namely from 2015-2024 with an initial total of 1,097 documents before the screening process. The bibliometric analysis carried out included an evaluation of the distribution of publications, leading authors, institutions, and the most productive countries in 36 documents according to the criteria. In addition, this article uses citation analysis and co-citations to identify key articles and intellectual networks formed around the topic of value chain literacy and competitive advantage. The findings of this study reveal that there has been a significant increase in the number of related publications, with a growing focus on the role of digital technology, innovation, and global integration in optimizing the value chain. The results of the study were able to identify several less explored areas that have the potential to become future research topics, such as the impact of climate change on value chain management and the role of artificial intelligence in improving value chain efficiency. The findings provide a future perspective on how value chain literacy can continue to develop and provide added value for companies in achieving competitive advantage.

Examining the ability of big data analytics to investigate financial reporting quality: a comprehensive bibliometric analysis

Purpose This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time. Design/methodology/approach This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis. Findings This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years. Originality/value To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

The evolution of customer engagement in the digital era for business: A review and future research agenda

ABSTRACT This study explores the evolution of customer engagement in the digital era for businesses, a crucial concept in today’s interconnected marketplace facilitated by a variety of digital platforms. The study identifies a gap in the comprehensive understanding and conceptualisation of digital customer engagement across various social media platforms and mediums. By using a bibliometric analysis approach, this study reviews 547 articles published between 2010 and 2021, offering a holistic view of the existing research landscape. The analysis uncovers four distinct bibliometric clusters representing unique facets of customer engagement: brand engagement, behavioural insights, loyalty dynamics, and relationship dynamics. These clusters provide insights into the multifaceted nature of customer relationships and engagements facilitated by digital platforms. The study concludes by proposing seven future research directions, aiming to guide scholars in exploring uncharted territories in digital customer engagement and its implications for businesses in the digital age.

Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach

AbstractThis study explored the potential application of deep learning techniques in sea surface temperature (SST) investigations using a mixed method, bibliometric analysis and methodological approach. CiteSpace software was utilized for a bibliometric study on 137 academic publications from 2018 to 2023. Various databases were employed for methodological analysis, which involved examining publications based on models, methodologies, applications and research areas. The data were manually organized in a relational framework of an SQL database. The analysis underscored China's prominence as a leader in the extensive research devoted to this field. The United States of America and the United Kingdom played pivotal roles in providing the essential data that served as the foundation for these studies. Moreover, the long short‐term memory (LSTM) algorithm was the predominant computational deep learning algorithm extensively used in this specific context. The analysis highlighted significant knowledge gaps in areas such as SST forecasting, modelling, satellite remote sensing, extreme events and data reconstruction. Future scientists need to show more interest in these and related subjects, while Chinese and American scientists should prioritize paper quality over quantity. Additionally, fostering stronger collaborations between universities and institutions is vital for further advancements. Ultimately, this study offers valuable insights into hotspot research areas and development processes, establishing the foundation for research and suggesting possible avenues for future development. The results of this evaluation serve as an essential guide for researchers and modellers involved in prediction initiatives using deep learning.

Applying Artificial Intelligence in Malaria Mosquito Research: A Bibliometric Study on Species Identification and Automated Detection

This study presents a bibliometric analysis on the integration of Artificial Intelligence in identifying and automatically detecting malaria mosquito species. The research explores trends and patterns in malaria research literature using a bibliometric data analysis approach. Data from 321 malaria research publications were collected and analyzed to identify frequently occurring keywords, authors, institutions, and collaborations among researchers. The analysis process involved sorting 1304 keywords by frequency, with "malaria," "artificial intelligence," and "machine learning" emerging as dominant keywords. Visualization techniques such as bar charts, word clouds, and network graphs were employed to understand keyword distribution, relationships, and evolution over time. The study highlights the interdisciplinary approach in current malaria research, combining medical, biological, and computational sciences to address this global health issue. By utilizing Python programming for analysis and visualization, this research demonstrates the effective processing and visualization of bibliometric data, providing deep insights into the patterns and trends in malaria research.

Sustainability in Educational Research: Mapping the Field with a Bibliometric Analysis

This research uncovers contemporary patterns by employing the bibliometric analysis approach to analyze sustainability research in the education domain. Consequently, we map the academic outputs and observe a tendency of increased publications, which proves the growing interest in global sustainability imperatives with the help of WoS data. Regarding the publications, the United Kingdom, Germany, and the United States were the most productive, stressing an international focus and interdisciplinarity. The analysis showed that there was a shift in the topic focus from environmental education to sustainable education as a result of integrating SDGs into every level of education. As such, the results highlight the role of education in sustainability and necessitate more research for better evaluation and implementation of educational efforts. This study not only presents a history of the field but also sets a future agenda for the discipline, which is the significance of education for sustainability. In this way, our work enhances the knowledge of sustainability in education, and the results of our work lay a theoretical and methodological basis for further research and activities in the field.