Self-esteem in gifted adolescents: A systematic review and bibliometric analysis

PURPOSE: This paper aims to provide a comprehensive review of scholarly research focusing on using quantitative methods and particularly structural equation modeling (SEM) in management and economics studies, as well as provide a bibliometric agenda including the time horizon of individual publications, the highest citation rate, geographic and industry areas, methodological context, and keywords. METHODOLOGY: A systematic literature review (SLR) was undertaken using the Web of Science and Scopus databases. We limited our search to the last five years to identify the newest research publications, and we used keywords related to quantitative research while excluding qualitative research. Then we analyzed papers related to SEM and those published in English. FINDINGS: Our results confirmed that quantitative methods are used both in management and economics research, and showed a growing trend in the number of publications in the last five years. However, there are many more publications on management than on economics as well as there are more papers published in the Scopus database than Web of Science. Taking into account structural equation modeling, this method is used primarily in management research. In terms of industry, publications using SEM considered both single- and multi-industry including, first, all Asian countries and then African ones. Publications, especially in the management field, are descriptive in nature and based on primary data collected using a survey questionnaire. Papers are published in various journals and the most cited are those published in journals with wider subject areas. IMPLICATIONS: The systematic literature review is a fundamental necessity in any field of knowledge, benefiting both academia and learners. Our results may be useful for future researchers planning research using quantitative methods, especially SEM, in the business or economic field, by indicating the most cited papers and journals as well as industry and country areas. ORIGINALITY AND VALUE: This paper represents a systematic attempt to link quantitative methods, with a particular emphasis on SEM, with research interests on managerial and economic subjects and papers published in the Web of Science and Scopus databases. Employing the bibliometric analysis within the systematic literature review, the paper shows interest and the current state of research using quantitative methods which proves its value and originality.

In this article, a bibliometric analysis is conducted by means of VOSviewer software to put forward the bibliometric view of academic works on political advertising in Web of Science and Scopus databases. In this direction, general data regarding the publications in the databases as well as citation, co-authorship, and bibliographic coupling maps of the publications are presented. In this way, the study aims to see the place of political advertising studies in other academic works. The data related to the publications were collected from Web of Science and Scopus databases on 31.07.2024. While the first political advertising publication indexed in Scopus was published in 1972; the first publication on the topic was published in Web of Science in 1976. Hence, whereas the analyses in relation to Scopus database cover the dates between 1972 and 31.07.2024; the analyses related to Web of Science database cover the dates between 1976 and 31.07.2024. There are 868 detected publications in total on the topic in Scopus, whereas there are 739 in Web of Science between those dates. Analyzes indicate that the data in both databases considerably put forward consistent results with each other.

To conduct a bibliometric analysis, several researchers retrieve publications from Scopus or/and Web of Science (WOS) databases. When these scholars consider both Scopus and WOS databases, they mostly make two bibliometric analysis: one from Scopus database and the other from WOS database. A few researchers merge the two databases to conduct a single analysis, but they do not specify how they did it. This paper aims to advance the bibliometric analysis by addressing two points. First, this research claims that making a bibliometric analysis that takes information from Scopus or/and separately from WOS cannot give a broader view of knowledge and tendencies in a field. To prove this claim, we retrieve papers from Scopus and WOS databases to make a bibliometric analysis of sales force literature that covers from 1912 to 2019. Results show that there are many disparities between WOS and merged database, and between this latter and WOS database regarding bibliometric analyses, especially among primary productive authors, the most influential papers, and keyword occurrences. Second, this research proposes a four-step procedure that merges these two databases to allow more reliable bibliometric analyses. This procedure was explicitly shown by using the bibliometric analysis of sales force literature during 1912–2019.

The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering profiles and engineering education, and (4) relational capabilities. Each section is thoroughly discussed in this paper. The study contributes to the pool of knowledge on Industry 4.0 phenomena by compiling competences needed at smart factories in the future.

The association between the level of happiness and body mass index, as well as the duration of night sleep in individuals with high and low levels of happiness were investigated. 36 medical students of the 5th year of the Faculty of Medicine were examined, (aged 27–29 years) former nurses and paramedics studying to become doctors. The subjects answered 20 questions on the level of happiness. The time of going to bed and the time of awakening were noted. The body mass index was determined anthropometrically. The range of happiness levels ranged from 41% to 100%. The average level of happiness was 76%. Doctors with a high level of happiness had an average of 87%, and doctors with a low level of happiness – 64%. The majority of people (53%) with a reduced level of happiness slept 4–6 hours, and the majority of people (69%) with a high level of happiness slept 7–8 hours. The body mass index in people with a reduced level of happiness averaged 26.0 kg/m2, and in people with a high level of happiness – 21.7 kg/m2. Lack of sleep (less than 7 hours of night sleep) promotes the accumulation of excess body weight (increases the risk of obesity) and reduces the level of happiness among medical students.

DeFi blockchain technology, known as decentralized finance today, separates from the traditional financial ecosystem and ushers the new financial landscape onto digital platforms. In decentralized financial applications, all digital assets are safeguarded by blockchain technology. Thanks to this technology, investors can transfer their financial assets without being dependent on banking authorities. Despite the numerous advantages they bring, financial assets based on the decentralized finance ecosystem come with certain disadvantages. These assets are difficult to control, easily manipulated, and are at risk due to their vulnerability to cyberattacks. This study conducted bibliometric analyses on a total of 930 publications registered in the Web of Science (WoS) and Scopus databases using the VOSviewer program. In both databases, “all fields” were filtered and scanned with the keyword “decentralized finance.” According to the results, the Scopus database has much richer content compared to the WoS database. The most cited author in the Scopus database was Chen Y, while in the WoS database, it was Nakomoto S. There has been a significant increase in the number of publications in both databases since 2020. Additionally, it was detected that the most cited countries in both databases were the USA, China and England, respectively. It has been observed that computer science comes to the fore in the publication rankings. Decentralized finance is an interdisciplinary field of study. Therefore, many more qualified hybrid studies are needed. More studies are needed, especially examining investor behavior. The analyses presented in this article will enable researchers to grasp the bigger picture from a holistic perspective.

Introduction Anxiety and depressive disorders are prevalent mental health conditions with complex molecular underpinnings. Objectives This study aims to provide a comprehensive overview of molecular research in anxiety and depression from 1960 to 2023. Material and Methods A bibliometric analysis was conducted using data from Web of Science and Scopus databases. The study employed various bibliometric techniques, including performance analysis, science mapping, and network analysis. Results The analysis revealed 7791 relevant documents from 2237 sources, with an annual growth rate of 9.54%. The United States emerged as the leading contributor, with the University of California being the most common affiliation. Key research themes included brain function, depression mechanisms, and gene expression, with an emerging focus on inflammatory pathways. Conclusion This bibliometric analysis highlights the evolution and current state of molecular research in anxiety and depression, identifying key trends, collaborations, and potential areas for future investigation.

The purpose of this paper is to conduct a systematic literature review on regional smart specialisation strategies, through a bibliometric and systematic analysis, combining performance analysis and scientific mapping to detect and visualise the concurrent subdomains and their evolution over time, pointing out future lines of research. The methodology of this systematic review is based on three phases: (1) database search, (2) bibliometric analysis, and (3) systematic analysis. In the first phase, the PRISMA protocol is used and publications are obtained from the Web of Science and Scopus databases. In the bibliometric analysis, the performance analysis and scientific mapping are carried out, using the R Studio software (version 4.02), using the biblioshiny with the bibliometrix package. The systematic analysis is based not only on the results obtained in the bibliometric analysis, but also on the methodological and content information taken from the publications. This article analyses and relates four clusters—knowledge, policy, innovation, specialization—indicated by the strategic diagram and trend topics, and 15 ‘themes’: policy, innovation, knowledge, priorities, systems, institutions, entrepreneurial discovery process, diversification, related variety, clusters, multi-level governance, helix model, competitive advantage, geography, and six critical questions. The paper systematizes the literature, filling a gap on the experience gained from the implementation of these strategies in the regional, addressing the critical questions and challenges that have arisen during their implementation in this context.

Bibliometric analysis has emerged as a crucial instrument for interdisciplinary scholars who aim to comprehend the complex terrain of scientific knowledge. The current study employed a bibliometric analysis to scrutinise bibliometric publications by Malaysian authors. The bibliometric datasets utilised in this study were collected from the Scopus and Web of Science (WoS) databases. The obtained datasets were subjected to analysis and visualisation through the utilisation of ScientoPy and VOSviewer. The results suggest that Malaysian authors have actively participated in producing bibliometric papers in both Web of Science (WoS) and Scopus databases. Ahmi A. from Universiti Utara Malaysia and Lim W.M. from the Swinburne University of Technology, Sarawak, have published 27 and 25 works, making them the most prolific authors. The terms “CiteSpace”, “artificial intelligence”, “PRISMA”, “machine learning”, “systematic literature review”, “Biblioshiny”, “Bibliographic coupling”, and “performance analysis” have garnered significant attention in academic circles in 2022. This study presented that India and the United Kingdom exhibit parity in co-author affiliations with Malaysian authors. The most commonly employed author keywords by previous researchers were “bibliometric analysis”, “research evaluation”, “scientometrics”, “citation analysis”, and “co-authorship analysis”. Future research endeavours could concentrate on delving deeper into these subjects and scrutinising novel topics and domains of interest in bibliometric analysis.

This study aims to evaluate 16,891 academic publications in the field of cinema between 1980 and 2024 using bibliometric analysis and topic modeling methods. Based on data obtained from the Web of Science (WOS) and Scopus databases, bibliometric findings were received, including the distribution of publications by year, the annual number and rate of citations per article, the most productive authors in the field, the production status of authors over time, the countries of authors and the number of articles they published, and the journals with the highest number of publications. Data obtained from the Web of Science (WOS) and Scopus databases were also used to identify prominent word groups and themes in the articles using text mining and Latent Dirichlet Allocation (LDA) topic modeling. As a result of the analysis, 12 main themes emerged based on word-text relationships and the weight of publications. The findings show that cinema studies have developed with increasing momentum over the years and that there has been a growing focus on certain topics. This study systematically examines the development of cinema studies literature through descriptive content analysis and LDA topic modeling. In this respect, it is important in that it systematically reveals the structural and thematic transformation of academic production in the field of cinema and provides a theoretical and methodological basis for future research. It also makes a current and multidimensional contribution to the discipline in terms of revealing the increasingly important digital trends, cultural representations, and interdisciplinary developments in cinema studies.

Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis

Bibliometrics is an important field of information science that enables bibliographic material to be studied quantitatively. Using bibliometric techniques, this chapter offers an overview of entrepreneurship research in the Middle East and North Africa. Using the Web of Science and Scopus databases, we identify the most relevant research in this field, classified by the most influential authors and the top papers, journals and countries. The sample includes 657 articles published from 1963 to 2016, from 387 different sources. The findings show that studies addressing this topic have been published mainly in non-JCR-indexed journals. In contrast, it is important to note that the top papers (in terms of citations) appear to be published in well-known journals such as the Journal of Business Venturing, Organization Studies and Technovation. The most significant countries are those in the region being studied (such as Israel) but also the United States. The chapter ends with some recommendations for further research.

PurposeRural microfinance has become a crucial tool in global poverty alleviation efforts. Research has increasingly highlighted its role not only in combating poverty but also in empowering women and supporting adaptation strategies, particularly in low-income countries. The expanding body of literature in this area requires a thorough analysis to discern global research trends and key thematic developments.MethodologyThis study conducts a bibliometric analysis to systematically examine rural microfinance research, using data from the Web of Science and Scopus databases. Through performance analysis and science mapping techniques, implemented via Biblioshiny in R software (version 4.4.1), this analysis encompasses 1,225 studies published between 1989 and 2024.FindingsThe analysis indicates a marked upward trend in rural microfinance research, with performance analysis identifying the most productive countries, influential authors, key affiliations, and leading journals. Co-word analysis, used for scientific mapping, revealed 2,401 author keywords, highlighting prevailing topics and trends in rural microfinance. Thematic evolution analysis further identified significant, well-established themes and underscored critical research gaps, offering insights into emerging areas. These findings stress the need to address these gaps and encourage researchers and academics to explore emerging themes to expand and broaden rural microfinance research.ImplicationsThe study identifies several underdeveloped themes within the microfinance literature that warrant further exploration. Key emerging areas, such as the integration of financial technology with microfinance and the role of microfinance in promoting equitable access to energy for women, represent critical research gaps. Addressing these gaps could offer new directions for scholars, advancing both the field of microfinance and its wider socioeconomic impact.OriginalityThis study makes an original contribution by focusing exclusively on the bibliometric analysis of rural microfinance, an area largely overlooked in existing research. While previous studies have used bibliometric methods to explore the broader microfinance field, there is a distinct lack of analysis specifically analysing the corpus of rural microfinance literature.

Variation in Results of Three Biology‐Focused Search Engines: A Case Study Using North American Tree Species

Kawasaki disease (KD) is a systemic vasculitis of unknown etiology that mainly affects children. We aim to conduct a bibliometric analysis to explore the latest research hotspots and trends of KD. By using the keywords "Kawasaki disease," "Kawasaki syndrome", and "Mucocutaneous Lymph Node Syndrome," the Web of Science (WOS) and Scopus databases were searched for publications related to KD from 2017 to 2021. Author, country and journal submissions were classified and evaluated using Biblioshiny software (using R language). VOSviewer (version 1.6.18) was used to visualize the relevant network relationships. According to the search strategy, 5,848 and 6,804 KD studies were published in WOS and Scopus, respectively. The results showed an overall increasing trend in the number of publications and citations during the study period. The three most influential institutions in the WOS were St. Marianna University, Kawasaki Medical School and The University of Tokyo in Japan, while in Scopus, Harvard Medical School, University of California and Tehran University of Medical Sciences were the most influential institutions. The most influential authors of the two databases are Goodman SG, Kazunori Kataoka, and Takeshi Kimura of the WOS and Marx Nikolau and Wang Y, Burns JC, and Newburger JW of the Scopus, respectively. And Scientific Reports and Frontiers in Pediatrics were the most critical journals. The most cited documents were the WOS document by McCrindle et al. and the Scopus document by Benjamin et al. published in 2017, while the keywords in the last few years were focused on "COVID-19," "multisystem inflammatory syndrome," and "pandemic." This bibliometric analysis summarizes for the first time the research progress in KD (2017-2021), providing a qualitative and quantitative assessment of KD research bibliometric information. In the field, researchers mainly from Japan and USA are dominant, followed by China. It is recommended to pay close attention to the latest hot spots, such as "COVID-19" and "multisystem inflammatory syndrome." These results provide a more intuitive and convenient way for researchers to obtain the latest information on KD.