Scientometric Approach Research Articles

Visualization of the field of knowledge in sexual violence: a scientometric analysis based on citespace.

Sexual violence (SV) is a serious public health problem affecting millions of people each year. The main aim of this article is to provide a large-scale snapshot of the field of knowledge in SV research using a scientometric approach. Documents were retrieved from the Web of Science database. Then, a scientometric study was carried out on a sample of 65,610 documents. Co-citation and co-occurrence measures have been calculated and related networks have been drawn using Citespace and Biblioshiny software. The main findings indicate that research in SV has increased significantly in recent years. On the other hand, the publication of about one-third of these documents by a single author is due to the special nature of this topic and its taboo in many societies. In addition, a large number of multimedia documents demonstrate the role and importance of multimedia resources in SV studies. Despite the attention to SV research by poor or developing countries to research in the field of SV, 95% of the documents have been published by 20 developed countries. Additionally, the general research approach has changed from criminology to psychology. Therefore, it seems that the discussion of psychological disorders in the occurrence of sexual violence reveals a new approach to SV. The concepts related to SV have been linked to broader areas than in the past. This, along with emphasizing prevention topics in the long term, will increase awareness of SV and reduce the possibility of abuse of vulnerable people.

Comprehensive Analysis of Global Research on Erectile Dysfunction from 2002 to 2021: A Scientometric Approach

Comprehensive Analysis of Global Research on Erectile Dysfunction from 2002 to 2021: A Scientometric Approach

Exploring Research by Diane Larsen-Freeman: A Scientometric Analysis

There is a strong need to understand Diane Larsen-Freeman’s main research interests and to investigate the theories and thesis she put forth. Moreover, it seems necessary to examine her contribution to applied linguistics and understand the claims and criticisms she has made throughout her career. This study aims to present an analysis of her studies within the scope of research trends, themes, topics, documents, and sources. Within the scope of the retrospective scientometric approach, 56 research papers from the Web of Science (WOS) database were analyzed. The results showed that Larsen-Freeman published her studies in the time span between 1987 and 2022. The most productive years can be considered in two periods, namely the years between 2006 - 2012 and 2015 - 2020. It was also concluded that the most relevant sources were published in reputational journals in the field of Applied Linguistics. The last conclusion was that Larsen-Freeman who has a high value of h index is an influential scholar in the field of Applied Linguistics, mainly focused on chaos/complexity science, complexity, second language acquisition, complex adaptive system, fluency, accuracy, and language emergence.

Capital Structure Decisions: A Scientometric Assessment and Future Research Lines

A company’s capital structure has long captured the interest of academics, industry professionals and decision-makers in corporate finance. This scientometric review carefully examines the large body of research on capital structure decisions. Co-word and co-citation analyses were used as two scientometric analytic techniques. Combining these two techniques helps the researcher understand the studied issue’s evolution and the field’s overall picture. A final dataset of 4,873 was used to synthesise and analyse the capital structure-related research. To the best of our knowledge, there is no comprehensive scientometric review of the literature on the domain of capital structure with this extensive data corpus. This review uses a scientometric approach to analyse the evolution of capital structure research, identify emergent trends and highlight areas that necessitate further investigation. This research lays the groundwork for future scholarly endeavours that resonate with the intricacies of capital structure’s role in value creation and firm sustainability, thereby improving our understanding of capital structure decisions in the contemporary financial landscape.

Trends and challenges in the use of drugs as forensic evidence: A scientometric approach to map the current literature

AbstractThe rapid increase in the production and distribution of illicit drugs has led to vast amounts of data being generated through research and other publications, making it difficult to effectively distill and analyze current and emerging trends. The present study used a scientometric approach to identify trends and challenges in the use of drugs as an evidence type in forensic science by examining reference lists available in the INTERPOL IFSMS reports and the citation database Scopus. It has been identified that “new psychoactive substances” is one of the most frequently used keywords by authors, highlighting the swift response by communities to characterize these emerging compounds. However, it was also noted that despite drugs being a global threat, only limited international collaboration was observed between research groups and the majority of the studies are from authors affiliated within the same country. Finally, an argument is made to encourage a more comprehensive approach in aggregating results on drugs for greater transparency and broader distribution of findings.This article is categorized under: Forensic Chemistry > Mass Casualty Management Forensic Chemistry > Controlled and Emerging Drug Compounds

Key and emerging themes in gene editing: A lexicometric analysis of publications in the biological sciences (1990–2022)

Societal Impact StatementVarious techniques to modify genomes have been developed over the past decades, from molecular cloning to gene editing techniques. What are their applications? What are the key themes discussed by scientists? To answer these questions, we provide a qualitative and quantitative analysis of 14,739 scientific articles published between 1990 to 2022 showing that some themes are constant over time, such as the molecular aspects of genetics and discussions about data and software, while other themes emerged more recently. For example, CRISPR/Cas9 became prominent from 2012 onwards, and applications in agriculture and policy/regulatory implications from 2015 onwards. This mixed method opens up new spaces for dialogue between the natural and social sciences and captures the shifting boundaries of science.Summary The article analyzes publications in the biological sciences concerned with genetic engineering, in particular gene editing, between 1990 and 2022 to examine key and emerging themes. It provides a lexicometric analysis of 14,739 articles, which were subdivided into four periods (1990–2011, 2012–2015, 2016–2018, and 2019–2022). We show that certain themes are constant over time, such as the molecular aspects of genetic engineering techniques and discussions about data and software. Other themes, however, have emerged at specific moments in time: CRISPR/Cas9 became prominent from 2012 onwards and applications in agriculture and policy and regulatory implications from 2015 onwards. We observe, in particular, a semantic shift from genetically modified organisms (GMOs) to crops. The article contributes to debates about the boundaries of science by shedding light on the temporal dynamics of boundary‐work and by showing how the frames of scientific debates can shift to account for the political aspects of science. We conclude that the dialogue between the natural and social sciences can be strengthened by showing that apart from scientometric approaches, there are other methods to analyze “what counts” in science.

Evaluating reuse of nontraditional water sources in agriculture and food production utilizing a scientometrics approach

Climate change is proving to be detrimental for agriculture and food production by depleting natural resources such as irrigation water. Researchers and growers are turning to alternative sources of irrigation water. Growers are potentially willing to accept nontraditional sources, provided they meet the chemical and microbial standards of existing sources. To help identify research gaps and suggest future research directions, a thorough analysis of existing literature needed to be done. The aim of this study was to categorize and analyze existing research on water reuse found on the Web of Science database using a scientometrics approach. The publication dataset comprising 3072 titles, published between 1990 and 2022, was analyzed for keywords and co-occurrence of commonly used phrase groups. The global and year-wise trends in publications were mapped and graphed to identify which countries were actively researching water reuse and whether the number of publications were progressing significantly per year. The highly cited publications were also analyzed for their content to understand what differentiated them from the other publications. Our results indicated that the numbers of publications have increased considerably over the years from 1990 to 2022 with a potential to further increase by 2060, indicating a growing interest in the area of water reuse. The global distribution of publications indicated that researchers across the globe have identified this as a potential future strategy and are actively working to understand various aspects of water reuse in agriculture and food production by using experimental and modeling based study methods. The current focus is on reclaimed water and roof harvested rainwater with other prospective sources being investigated. The findings indicate that a multidisciplinary approach is required to understand the multifaceted aspects of reusing nontraditional water sources as irrigation water for food crops. Based on our study, we suggest that collaborations between academic research, agricultural industries and government agencies could lead to the integration of nontraditional water sources as irrigation water, helping to alleviate the negative effects of climate change.

A forty years scientometric investigation of artificial intelligence for fluid-flow and heat-transfer (AIFH) during 1982 and 2022

A scientometric approach is utilized to investigate the dynamic maps of relationships among researchers, institutes, and countries in the field of Artificial Intelligence for Fluid-flow and Heat-transfer (AIFH). The Web of Science database was searched for related publications during the last 40 years (1982 and 2022). A total of 6151 articles were discovered, which were analyzed in detail. Using a bibliometric analysis, the most relevant and most cited sources of publications were identified. The most active researchers, institutions, and countries leading AIFH were reported. Then, the worldwide dynamic collaboration maps and coupling maps of relationships were reported. The Islamic Azad University (1893 T.C.), the Chinese Academy of Sciences (1374 T.C.), and Beihang University (1266 T.C.) were the most influential institutes in AIFH. The most influential countries were China, the USA, and Iran. The dynamic map of collaborations shows a good worldwide collaboration distribution. The USA and China established the most connection with the rest of the world. ANNs are the most studied topic (19.5% of publications), followed by Machine Learning (17.9%) and Neural Networks (15.4%). Support Vector Machines lag behind at 1.4%. ANNs boast the highest total citations (17,064) and H-index (63). Most ANIF papers were published by Medical Physics (119 T.P.). Half of the articles in AIFH were published by five journals of Medical Physics, Neurocomputing, International Journal of Heat and Mass Transfer, International Journal of Radiation Oncology Biology Physics, and IEEE Access. The International Journal of Heat and Mass Transfer received the most citations in AIFH.

Mapping the Landscape of Doctoral Research in Technologies in Education: A 25-Year Analysis in Portuguese Universities

In the context of the evolving landscape of doctoral education within the framework of a knowledge society, this study explores the landscape of doctoral research in the field of technologies in education (TE) within Portuguese universities. The investigation places its focus on understanding the composition and evolution of research themes over 25 years (1997–2022), unveiling the landscape’s responsiveness to the challenges of a technologically advanced society. Employing a scientometric approach, we analyse 380 doctoral dissertations, highlighting the authors’ nationalities and genders, as well as the burgeoning themes, research questions, and methodological frameworks. Our results reveal a diverse range of themes, with “Teaching and Learning” and “Professional Development” emerging as predominant areas of exploration. Researchers predominantly derive their problems from real educational contexts, seeking to enhance understanding and intervention. This study underscores a shift from a technology-centric perspective to one focused on pedagogical considerations. Through this article’s objective representation, our findings highlight the multifaceted nature of TE research in Portuguese universities and its implications for innovation and knowledge advancement in education.

Scientific Knowledge Production and Artificial Intelligence for Healthcare: A Scientometric View

ABSTRACTThis study employs a scientometric approach to shed light on the evolving intellectual structure of AI in healthcare (AIH) research. The results substantiate the multi‐layered nature of knowledge production within the AIH domain, comprising the foundation, technology, and application layers. The application layer has witnessed a notable expansion in both its scope and depth, encompassing diverse areas including medical image analysis, data analysis and mining, decision support systems, and intelligence assistance. Additionally, a significant shift has occurred in its knowledge production process, wherein the conventional reliance on empiricism has been augmented by the incorporation of datafied innovation. This process of datafication has enriched the empirical underpinnings of AIH research, fostering a more comprehensive and evidence‐based approach to knowledge production.

Warnings of declining research productivity: Does Italy buck the trend?

Abstract The paper takes a scientometric approach to measure the change in research productivity of Italian academics before the COVID-19 pandemic outbreak. We propose a composite output/input bibliometric indicator and apply it at the field level, conducting a longitudinal analysis. Although the number of academics in the national academic system has decreased, we register very strong growth in both the number of publications and their scholarly impact. The growth in productivity, with only rare exceptions, crosses almost all fields. However, in areas that are traditionally very internationalized (Biology, Physics, and Chemistry), growth is less sustained than overall average, and also the variability of productivity across fields seems reduced. The main reason for this detail would be the smaller margins for improvement in the fields that had already reached high international standing. What emerges from the analysis goes counter to some alarms of declining scientific productivity at the global level. The Italian case is partly explained by the historic adoption of policies aimed at strengthening competitive mechanisms, in particular through the introduction of systems of performance-based research funding, and bibliometric accreditation for professorship.

Bibliometric analysis of scientific cooperation in the studies of moral dilemmas and moral choice

The authors attempt the bibliometric and scientometric approach toward analysis of scientific cooperation in research of moral dilemmas and moral choice using Scopus bibliometric tools. The sector-specific dimension of the studies of moral dilemmas and moral choice is considered. The authors conclude that the share of psychological journals on the subject has significantly increased with dominating psychological research problems (in contrast to the traditional philosophical dimension). The involvement of the world's leading scientific publications in the information support of research on moral dilemmas and moral choice is emphasized. The conceptual integrity of periodicals is revealed, the conclusion is made on the promising vectors of studies on the subject of moral dilemmas and moral choice. The main author research collaborations, as well as their main thematic focuses are specified. It is noted that modeling of the process of solving moral dilemmas, identification of factors for solving moral dilemmas, neurophysiological correlations of the process of solving moral dilemmas, moral modification due to various clinical aspects are the problems most relevant and demanded by the world leading scientific journals.

Citation Review and Scientific Visualization of Articles Published in the Iranian Rehabilitation Journal (IRJ) 2003-2023 in the Scopus Database

Objectives: Accurate scientific planning and societal macro policies require reviewing and evaluating research output. Scientometrics offers a valuable approach for assessing the activity of journals that publish a majority of scientific productions. This study aims to analyze the scientific activity of the Iranian Rehabilitation Journal (IRJ) by examining its publication history in the Scopus database. Methods: This bibliometric analysis adopts a scientometrics approach and includes all documents published in IRJ indexed in the Scopus database. Data collection and analysis were performed using VOSviewer and Excel software. Results: IRJ has been active since 2003, initially publishing seven articles in the Scopus database. The journal boasts an H-index 11 and has produced 701 documents over 20 years. The citation score for the journal in 2022 was approximately 0.6. The University of Social Welfare and Rehabilitation Sciences had the highest number of affiliated articles (n=395). The most productive author was “Dadkhah” with 42 documents; the most cited author was “Masah”. Most documents are articles written in English, and the most frequently used keyword is “Rehabilitation”. Discussion: This study offers an overview of the status of IRJ, indicating an increasing trend in the number of documents published and citations received since its establishment. The research findings can serve as a road map for researchers in the field of rehabilitation, providing valuable insights for future studies.

Identification and analysis of communication barriers for construction projects with time uncertainties

PurposeThe purpose of this study is to improve communication success through barrier identification and analysis so that the identified barriers can help project teams establish effective information-exchange strategies.Design/methodology/approachThe recent publications on construction communication about time management are reviewed. Then, the semi-structured interviews are performed with both questionnaires and audio recordings (n1 = 18). Next, the collected data are analyzed using both statistical measures on the questionnaire survey and qualitative coding analysis on the text transcripts from an audio recording. Particularly, the identified barriers are substantiated using a scientometrics approach based on the published articles (2011–2020, n2 = 52,915) for purposeful information-sharing solutions in construction time management. Furthermore, the intervention strategies from the top 10 most-cited articles are analyzed and validated by comparisons with the results from construction surveys and relevant studies.FindingsBased on the discussed communication difficulties, five main barriers were identified during time-cost risk management: probability and statistical concepts, availability of data from external resources, details of team member experiences, graphics (and graphical presentation skills), and spatial and temporal (a.k.a. 4D) simulation skills. For the improvement of communication skills and presentation quality regarding probability and statistical concepts, project teams should emphasize context awareness, case studies and group discussions. Details of communication techniques can be adjusted based on the backgrounds, experiences and expectations of team members.Research limitations/implicationsThe dataset n1 has both size and duration limits because of the availability of the invited industry professionals. The dataset n2 considers the literature from 2011 to 2020. Any before-the-date and unpublished studies are not included in the study.Practical implicationsA thorough comprehension of communication barriers can help project teams develop speaking, writing and analytical thinking skills that will enable the teams to better deliver ideas, thoughts and meanings. Additionally, the established discussion on barrier-removal strategies may enhance time management effectiveness, reduce project delays, avoid confusion and misunderstanding and save rework costs.Social implicationsThis research calls for the awareness of communication barriers in construction project execution and team collaboration. The identified barriers and the established solutions enrich the approaches of construction companies to share information with communities and society.Originality/valueThis is the first identification model for communication barriers in the time management of the construction industry to the authors' knowledge. The influencing factors and the countermeasures of communication difficulties highlighted by the research were not examined systematically and holistically in previous studies. The findings provide a new approach to facilitate the development of powerful communication strategies and to improve project execution.

Evaluating Study on Informal Credit Market: A Comprehensive Literature Review

The linkage between formal and informal credit markets has contributed to the existence of moneylenders’ practice. The purpose of this paper is to systematically examine the patterns in the scientific literature on the issue of informal moneylenders. Using a scientometric approach and critical review, this study finds new keywords in recent studies such as payday loans, financial literacy, sustainable development, empowerment, and financial knowledge. Based on the results, the theme of zakah has evolved from 1917 to 2020. Overall, the interest in the research topic on informal moneylenders exhibits an increasing pattern. Anthony Pennington-Cross is the most productive author of articles concerning informal moneylenders with a total of 7 publications. The findings of this paper should serve as guidance for prospective researchers to embark on new research ideas concerning informal moneylender practices as well as promoting the importance of Islamic financial institutions.

Tracing data: A survey investigating disciplinary differences in data citation

Abstract Data citations, or citations in reference lists to data, are increasingly seen as an important means to trace data reuse and incentivize data sharing. Although disciplinary differences in data citation practices have been well documented via scientometric approaches, we do not yet know how representative these practices are within disciplines. Nor do we yet have insight into researchers’ motivations for citing—or not citing—data in their academic work. Here, we present the results of the largest known survey (n = 2,492) to explicitly investigate data citation practices, preferences, and motivations, using a representative sample of academic authors by discipline, as represented in the Web of Science (WoS). We present findings about researchers’ current practices and motivations for reusing and citing data and also examine their preferences for how they would like their own data to be cited. We conclude by discussing disciplinary patterns in two broad clusters, focusing on patterns in the social sciences and humanities, and consider the implications of our results for tracing and rewarding data sharing and reuse.

Mapping of Heavy Metal Pollution in River System: A Scientometric Approach

Mapping of Heavy Metal Pollution in River System: A Scientometric Approach

EXPLORING SCIENTIFIC DOMAIN OF OCCUPANCY ANALYSIS, POE, AND DT IN AECO INDUSTRY: A SCIENTOMETRIC APPROACH

Building occupancy patterns strongly influence organizational effectiveness during the operation and maintenance (O&M) phase. Actual occupancy is highly variable over time and differs from the static occupancy levels considered during design phases. Consequently, poor levels of space management, use, and cleanness are detected during the O&M phase, affecting user well-being and satisfaction. Occupancy monitoring and analysis are needed to achieve effective and efficient facility management (FM) and user well-being. The article explores the scientific domains of occupancy detection and analysis, and related main approaches, i.e., post-occupancy evaluations (POEs) and digital twins (DTs) in the architecture, engineering, construction and operation (AECO) industry. A scientometric approach through science mapping and data visualization is applied to analyze 386 bibliographic records from Scopus database. The temporal trend analysis and conceptual structure of the scientific domain are investigated, drawing a picture of the body of knowledge. The performed analysis uncovered the temporal distribution of the publications and the relationships among the topics. DT is a recent topic in the early stages of investigation, while POEs are mature approaches related to sustainability, energy efficiency, productivity, building performance optimization, and user satisfaction. Occupancy detection and analysis are related to FM but less investigated topics in recent years. The research aims to uncover possible research gaps and open challenges in the field for further research aiming to support the optimization of occupancy and space management in the O&M phase, increasing workplace adaptability to changing conditions and needs and user satisfaction and well-being over time.

Sleep Profiles in Eating Disorders: A Scientometric Study on 50 Years of Clinical Research.

Sleep and diet are essential for maintaining physical and mental health. These two factors are closely intertwined and affect each other in both timing and quality. Eating disorders, including anorexia nervosa and bulimia nervosa, are often accompanied by different sleep problems. In modern society, an increasing number of studies are being conducted on the relationship between eating disorders and sleep. To gain a more comprehensive understanding of this field and highlight influential papers as well as the main research domains in this area, a scientometric approach was used to review 727 publications from 1971 to 2023. All documents were retrieved from Scopus through the following string "TITLE-ABS (("sleep" OR "insomnia") AND ("anorexia nervosa" OR "bulimia nervosa" OR "binge eating" OR "eating disorder*") AND NOT "obes*") AND (LIMIT-TO (LANGUAGE, "English"))". A document co-citation analysis was applied to map the relationship between relevant articles and their cited references as well as the gaps in the literature. Nine publications on sleep and eating disorders were frequently cited, with an article by Vetrugno and colleagues on nocturnal eating being the most impactful in the network. The results also indicated a total of seven major thematic research clusters. The qualitative inspection of clusters strongly highlights the reciprocal influence of disordered eating and sleeping patterns. Researchers have modelled this reciprocal influence by taking into account the role played by pharmacological (e.g., zolpidem, topiramate), hormonal (e.g., ghrelin), and psychological (e.g., anxiety, depression) factors, pharmacological triggers, and treatments for eating disorders and sleep problems. The use of scientometric perspectives provides valuable insights into the field related to sleep and eating disorders, which can guide future research directions and foster a more comprehensive understanding of this important area.

Identifying major research themes in the literature on developmental disabilities in Middle Eastern countries: A scientometric review from 1962 to 2023

Developmental disabilities have been widely studied in higher-income countries. However, most individuals with these conditions live in low- and middle-income countries and they are reportedly under-represented in the scientific literature. To tackle this issue, previous research has provided insight into the thematic developments in the research on developmental disabilities in Africa by means of a scientometric approach to reviews. The current work aims to extend the scientometric approach to investigate the main interests in the literature on developmental disabilities conducted in Middle Eastern countries. A total of 1110 documents were retrieved from Scopus and their patterns of co-citation were analysed with the CiteSpace software. Research in Developmental Disabilities emerged to be the main source in the sample of downloaded documents. Furthermore, a total of six main thematic domains and the four most impactful documents in the literature were identified. Results showed that research on developmental disabilities in the Middle East has been mainly focused on uncovering the genetic basis of this group of conditions. The study of clinical profiles, diagnosis, management, and treatment of individuals with developmental disabilities have been so far under-investigated and represents material for future studies.