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Given the overlapping themes and periods in specific subjects within Islamic economics and finance bibliometric research, which may yield similar findings in bibliometric studies, it is essential to document the growth of Islamic economic and financial research using bibliometric methodologies. This study aims to understand better the critical bibliometric review trends and scientific advancements in Islamic economics and finance.

This study uses bibliometric analysis, collecting 46 Islamic economics bibliometric papers from the Web of Science Core Collection from 1975 to 2022. The authors generated top scientific scholars, keyword analysis, citation analysis, content analysis and conclusions for journal development using R Biblioshiny, VOSviewer, ATLAS.ti and Excel.

This study has established a comprehensive bibliometric framework for Islamic economics and finance bibliometric papers, encompassing all critical areas within the discipline and identifying any remaining research gaps. The major significant areas revealed were Islamic social finance and microfinance concerns, which are closely pertinent to the issues of ethics, corporate social responsibility and sustainability, respectively. The authors also identified opportunities for future bibliometric analyses in Islamic economics and finance, which include using more comprehensive databases, refining or broadening search strategies, using advanced techniques and units of analysis and suggesting themes for further exploration.

The study relies merely on the Web of Science Core Collection database, which provides the most in-depth citations by source for the world’s scientific and scholarly research. Future research may consider expanding its scope to include other databases for a broader range of sources. Furthermore, due to the rise of bibliometric studies in Islamic economics and finance, this study also comments on the saturation of bibliometric studies conducted in several similar areas. While researchers bring their unique analytical perspectives to bibliometrics, this study provides a comprehensive view of existing research in Islamic economics and finance, highlighting well-explored topics and those that remain less studied. Thus, this could assist researchers in determining their future research priorities.

Policymakers in Islamic financial and economic institutions, including banking institutions, social, financial institutions and halal institutions, should be impacted by this research when making policies or conducting research. The viability of the current Islamic economic and financial ecosystem will be indirectly maintained and managed by these implications.

This comprehensive meta-analysis in Islamic economics and finance is expected to impact the development and sustainability of the Islamic economic and financial ecosystem, promoting societal welfare through applying Islamic economics and finance.

This pioneering bibliometric analysis of Islamic economics and finance papers aims to offer insights and projections for future research in the field. This research contributes to the literature by examining various aspects, including evaluating literature on trending topics, analyzing papers related to research areas and conducting content analysis of existing bibliometric studies in Islamic economics and finance. It specifically groups these studies around fundamental topics, summarizes findings from contemporary research and identifies emerging research gaps.

This paper aims to analyse the bibliometric characteristics of the ISO 50001 publication, map the state of the art of the research topic and identify future research issues.

This research is a bibliometric study. The data were collected from Scopus. Both performance and science mapping analysis were performed.

The research results showed the top author, paper and country of ISO 50001 publications. There are four author collaboration clusters and five country collaboration clusters. Eight research themes were mapped into four quadrants based on the density and centrality. The bibliometric coupling analysis showed six research clusters. Finally, the research issues were mapped. The implications were discussed.

This research gave several implications for researchers, practitioners and public policymakers. For researchers, the bibliometric analysis provides several research issues that can be followed up by future research. For practitioners, the bibliometric analysis showed that applied tools and methods that can assist the implementation of ISO 50001-based energy management have been developed. For public policymakers, the bibliometric analysis offered the knowledge structure on ISO 50001 that can be used in public policymaking development. The author collaboration cluster and the bibliometric coupling cluster can be used to trace the scientific information that is needed as the foundation of public policy.

Many ISO 50001 studies have been performed. However, based on the search in several main academic scientific paper databases, there is no bibliometric study on the research topic. This is the first bibliometric study on ISO 50001 publication. This study takes a holistic approach combining performance analysis and science mapping analysis that includes elaborated thematic mapping and evolution analysis.

The proliferation of bibliometric review articles is a true reflection of how bibliometrics is gaining popularity and has been widely adopted in various disciplines. The growing interest of scholars has encouraged us to dwell upon the what, why, when, how, and where of bibliometric literature reviews. The study explained the bibliometric review with the standpoint that it can be considered a strong review method for analyzing a large volume of data and scholars can supplement their traditional reviews with bibliometric reviews to strengthen their knowledge. This will help researchers to justify the (a) need for a study on the particular topic; (b) type or method of review chosen; (c) number of articles selected; (d) inclusion and exclusion criterion; (e) method of analysis; and (f) presentation of the findings.

The use of structured literature review methods like bibliometric analysis is growing in the management fields, but there is limited knowledge on how they can be facilitated by technology. Hence, we conducted a broad overview of software tools, their roles, and limitations in structured (bibliometric) literature reviewing activities. Subsequently, we show that several software tools are freely available to aid in searching the literature, identifying/ extracting relevant publications, screening/assessing quality of the extracted data, and performing analyses to generate insights from the literature. However, their applications may be confronted with several challenges such as limited analytical and functional capabilities, inadequate technological skills of researchers, and the fact that the researcher's insights are still needed to generate compelling conclusions from the results produced by software tools. Consequently, we contribute toward advancing the methodologies for performing structured reviews by providing a comprehensive and updated overview of the knowledge base of key technological software tools and the conduct of structured or bibliometric literature reviews.

The purpose of this study is to depict the value added by digital transformation to intellectual capital (IC) by virtue of the studies reached by the literature review on different databases are examined.

Journal of Intellectual Capital, which has the highest number of records from the resources included in the “Web of Science” content and covering the title of “intellectual capital” has been selected in this study. Research using bibliometric analysis has been conducted and it has been determined that the terms “digital transformation” and “intellectual capital” should be searched for simultaneously in each and every article published in the journal between the years 1975 and 2022.

A bibliometric analysis and citation mapping process are carried out considering all dimensions to reach the results and interpretation of findings. VOSviewer is used to visualize the bibliometric networks of results and findings in the form of scientific mapping, as well as to visualize the co-authorship analysis of keywords, co-authorship analysis and citation networks.

Bibliometric analysis is a method that can be used to evaluate the performance of a single journal. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single journal. This circumstance is elaborately described as a limitation of this study. Bibliometric analysis is a method that can be used to evaluate the performance of a single journal. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single journal. One limitation is that bibliometric analysis is based on quantitative metrics, such as citation counts, which do not take into account the quality of the research. Therefore, bibliometric analysis alone may not provide a complete picture of the validity of a single journal. In addition, bibliometric analysis is based on the number of times a paper is cited, which can be influenced by factors such as the prestige of the journal, the field of research and the time since the publication. In conclusion, bibliometric analysis can be used to evaluate the performance of a single journal, but it is important to consider its limitations.

This study identified contributions, gaps and limits based on the results of a bibliometric analysis. Italy is the most influential country and the issue is structured around four clusters: IC; digital transformation; human capital; and knowledge management. As previously unexplored issues are addressed in an innovative manner, it is acceptable to underline the paper’s originality.

This study aims to contribute to the relevant body of knowledge by examining the bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS) database from a bibliometric perspective (evaluative and relational techniques).

The WoS database was used to obtain studies to be reviewed. A total of 136 studies were analyzed and visualized in terms of evaluative and relational techniques, and a subject categorization was made.

“Tourism management” and “tourism and hospitality” are the two fields of research where bibliometric studies are carried out more frequently. Evaluative techniques were used in most studies while relational techniques, such as co-word, co-author, co-citation analysis and bibliographic coupling, were performed less. Relational techniques indicate that the words “bibliometric analysis” and “tourism” are frequently used together in the studies examined; the most common authorship cooperation is between China and USA.

This study provides an overview of bibliometric studies in tourism and hospitality literature. It expands the previous literature and shows study topics that are more focused by examining the abstracts and contents of articles published in journals in different WoS categories.

Findings related to evaluative and relational techniques can serve as useful information for researchers, who are new to the field.

This study contributes to the current knowledge accumulation by its lack of year, country, region and language limits.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Purpose: This study aims to employ bibliometric analysis to condense multiple studies into a single publication that not only gives insights into the growth and advancement of the research area but also establishes a future research agenda. This study provides a summary of advances in academic research on money laundering. The research includes bibliometric analysis and visualisation of bibliographic data using the Scopus database. The results of the study show that there has been a significant increase in the number of publications in the field of money laundering research, with topics focussed on specific areas. This study will also benchmark existing and preliminary themes, designs, and methodological choices for future money laundering research.

Methodology: With the help of the ‘visualisation of similarities’ (VOS) viewer open-source software, bibliometric analysis was performed using Scopus data. Citation analysis, topic mapping, country collaboration, co-citation analysis, and keyword co-occurrence analysis are some of the approaches used in bibliometric analysis.

Findings: Based on a bibliometric analysis of 1,391 research papers retrieved from the Scopus database over the past three decades (1990–2021), the study identified the most prominent authors, studies, journals, affiliations, and countries in the field of money laundering, as well as the most co-cited authors and journals. The writers also highlight future study issues in the field of money laundering.

Practical implications: The study’s findings might provide academics and practitioners with information on the present state of money laundering research and trend subjects. It can also be used as a guideline for identifying possible research gaps in the existing literature.

The purpose of this study is to examine the research output on “library and information science” (LIS) research domain in South Africa. It also highlights the top LIS research organisations, authors, journals, collaboration types and commonly used keywords. This research will aid in the identification of emerging concepts, trends and advances in this subject.

The Web of Science (WoS), an indexing and abstracting database, served as a tool for bibliographical data. By applying advanced search features, the authors curated data from 1989 to 2021 through the WoS subject category WC = (Information Science & Library Science), limiting the scope to the region, CU = (South Africa), which resulted in 1,034 articles. Moreover, the research focuses on science mapping using the R package for reliable analysis.

The findings reveal that the publications have considerably grown over time, indicating significant attention among researchers in LIS. The findings indicate the critical operator’s performance, existing thematic choices and subsequent research opportunities. The primary topical fields of study that emerged from the bibliometric analysis are impact, information, science, model, management, technology, knowledge and education. Pouris and Fourie are the most productive citations, h-index and g-index. The influential institute was The University of Pretoria.

The use of the WoS database for data collecting limits this study. Because the WoS was the only citation and abstract database used in this study, bibliometric investigations using other citation and abstract databases like “Scopus”, “Google Scholar” and “Dimension” could be interesting. This study presented a bibliometric summary; nevertheless, a systematic and methodical examination of highly cited LIS research publications could throw more light on the subject.

This paper gives valuable information about recent scientific advancements in the LIS and emerging future academic subject prospects. Furthermore, this research work will serve as a reference for researchers in various areas to analyse the evolution of scholarly literature on a particular topic over time.

By identifying the standard channels of study in the LIS discipline, and the essential journals, publications, nations, institutions, authors, data sources and networks in this subject, this bibliometric mapping and visualisation provide new perspectives into academic performance. This paper also articulates future research directions in this realm of knowledge. This study is more rigorous and comprehensive in terms of the analytical procedures it uses.

This study aims to investigate the global issues of youth unemployment using bibliometric analysis covering the period from 1983 to 2022. There is a dearth of a bibliometric study analysis on unemployment, particularly youth unemployment even at the global level. The present study seeks to fill this gap by exploring the prominent studies related to youth unemployment at the global level.

Using VOSviewer software bibliometric results and the Scopus database, the study uncovered the most frequently cited, prominent and influential authors, as well as the institutions that have worked on youth unemployment and the most prominent keywords published on youth unemployment.

Nearly 80% of the research articles on youth unemployment were published from 2005 to 2022, and a significant increase in publication after 2012 is observed. Based on the published papers, the most studied determinants of youth unemployment are increased levels of regional economic advances, state demographics, relocation, household conditions, regional openness and export/import. Economic freedom, labour market reforms, economic growth, high proportion of part-time employment, active labour market policies, minimum wage norms, extent of bargaining scope and alignment are prominent determinants that reduce unemployment at large and improve labour market performance of youth in particular.

Bibliometric analysis, like the present study, can narrow down the most prominent sources of information on youth unemployment for beginners in this field of research.

This bibliometric study on youth employment assists researchers and policymakers in understanding and summarizing the necessary determinants of youth employment that are already being identified and studied based on practical evidence from the authors’ case study-based research work. The present study raises the issue of youth unemployment at large. It helps in identifying factors in one place and thus new researchers can use it as a starting point for their research on youth unemployment. It helps in providing clustering of factors. It highlighted the significant studies, authors and institutions working in this field.

On social implication, it can be argued that studies on topics related to human resources have a direct impact on society standards. By producing scientific knowledge that aids in the recognition of the complexities of human processes and behaviours, social science research significantly contributes to the enrichment of the community as a whole. When young people are unemployed, it causes social unrest and may increase crime and terrorism, all of which contribute to political instability. Youth unemployment causes psychological illness because of anxiety, alienation and depression. As a result, it causes social instability and necessitates immediate attention in all societies. The present study highlights that although the unemployment rate of youth is significantly higher in underdeveloped countries than the developed countries, their representation in the publication is significantly low. This under-representation of countries shows their lack of commitment to society in working on the issue of youth unemployment.

It is assumed that there are plenty of research studies on unemployment, particularly at the global level. However, various domains of researchers may require a bibliometric kind of analysis wherein they may get an idea about the prominent number of literatures arguing concerning issues at large, in the sense of “focused studies” covering the comprehensive viewpoint on youth unemployment. The paper aimed to emphasize the topic of youth unemployment, its development in the research field and the usefulness of bibliometric analysis in social sciences in general, and youth unemployment in particular.