Citation Impact Research Articles

Indoor Air Quality: Bibliometric Analysis of the Published Literature Between 2018 and 2023

ABSTRACTThis bibliometric study employs a rigorous approach to scrutinize and visually represent the existing body of literature on indoor air quality (IAQ). Utilizing the Scopus collection database, we conducted an exhaustive exploration of published research literature in the IAQ field. The study involves a thorough visual analysis using Harzing's Publish and Perish and VOSviewer software programs, examining parameters such as citations, publication year, journals, authors, research institutions, countries, and research topics. A total of 1729 pieces of literature related to IAQ research from 2018 to 2023 were retrieved. The dominant formats were articles and conference papers, underscoring their significance in IAQ documentation. Primary subject areas included “Engineering” and “Environmental Science,” highlighting the multidisciplinary nature of IAQ studies. The upward trend in IAQ publications, reaching 330 articles in 2023, emphasizes the growing importance of this field. However, citation impact varied, emphasizing the need to assess research quality alongside quantity. Global distribution identified leading countries, including the United States, China, and the United Kingdom, which were also top contributors in co‐authorship and country‐level analyses. The top journals were “Building and Environment” and “Sustainable Cities and Society,” showcasing varying publication and citation powers. Notable impactful articles in the IAQ domain were led by Agarwal et al. and Van Tran, Park, and Lee. Keyword co‐occurrence analysis identified thematic clusters, with keywords such as “Indoor Air Quality (IAQ),” “Air Quality,” and “Indoor Air Pollution” dominating the literature. Through a comprehensive analysis of published literature, this study provides a visual representation of studies with significant contributions to the IAQ field, offering insights into its development and changes from 2018 to 2023. The findings also guide future IAQ research directions.

Data inaccuracy quantification and uncertainty propagation for bibliometric indicators

Abstract This study introduces an approach to estimate the uncertainty in bibliometric indicator values that is caused by data errors. This approach utilizes Bayesian regression models, estimated from empirical data samples, which are used to predict error-free data. Through direct Monte Carlo simulation—drawing many replicates of predicted data from the estimated regression models for the same input data—probability distributions for indicator values can be obtained which provide the information on their uncertainty due to data errors. It is demonstrated how uncertainty in base quantities, such as the number of publications of certain document types of a unit of analysis and the number of citations of a publication, can be propagated along a measurement model into final indicator values. Synthetic examples are used to illustrate the method and real bibliometric research evaluation data is used to show its application in practice. Though in this contribution we just use two out of a larger number of known bibliometric error categories and therefore can account for only some part of the total uncertainty due to inaccuracies, the latter example reveals that average values of citation impact scores of publications of research groups need to be used very cautiously as they often have large margins of error resulting from data inaccuracies.

A career in numbers: A citation network analysis of the work of RP Millar and his contribution to GnRH research.

Here, we reflect on the long career in neuroendocrinology of a single, highly productive scientist ('Bob' Millar), by analysing his oeuvre of published papers through the lens of citation metrics. We use citation network analysis in a novel manner to identify the specific topics to which his papers have made a particular contribution, allowing us to compare the citations of his papers with those of contemporary papers on the same topic, rather than on the same broad field as generally used to normalise citations. It appears that citation rates are highest for topics on which Bob has published a relatively large number of papers that have become core to a tightly-knit community of authors that cite each other. This analysis shows that an author's impact depends on the existence of a receptive community that is alert to the potential utility of papers from that author, and which uses, amplifies, extends and qualifies the contents of their papers-activities that entail reciprocal citation between authors. The obvious conclusion is that a scientist's impact depends on the use that his or her contemporaries make of his or her contributions, rather than on the contributions in themselves.

Challenges and Trends in Green Finance in the Context of Sustainable Development—A Bibliometric Analysis

Green finance in the context of sustainable development sits within the broader discourse of environmental economics and sustainable finance. Their integration has become imperative in addressing global challenges, with the aims of understanding how financial mechanisms can be aligned with sustainability goals, investigating the role of green finance in promoting environmentally friendly investments, and fostering sustainable development. This bibliometric analysis explores the evolution, trends, and challenges in green finance research. It examines 436 articles published between 2016 and 2024, revealing insights into influential publications, authors, journals, institutions, and countries engaged in green finance for sustainability. The study identifies China, the UK, and Pakistan as leaders in research output and citation impact. Furthermore, it highlights the interdisciplinary nature of green finance, reflected in diverse publication outlets spanning environmental, social, and economic domains. The analysis underscores the increasing global interest in green finance, as evidenced by the growing citation rates over time. Key findings include the pivotal role of green finance in energy efficiency, renewable energy development, and the promotion of sustainable economic growth. Overall, this research provides valuable insights for policymakers, researchers, and practitioners, emphasizing the importance of interdisciplinary collaboration and continued research efforts in advancing sustainable finance agendas.

Analyzing collaboration and impact: A bibliometric review of four highly published authors' research profiles on collaborative maps.

The concept of impact beam plots (IBPs) has been introduced in academia as a means to profile individual researchers. Despite its potential, there has been a lack of comprehensive analysis that evaluates the research profiles of highly published authors through the lens of collaborative maps. This study introduces a novel approach, the rating scale for research profiles (RSRP), to create collaborative maps for prolific authors. The initial hypothesis posited that each of the research profiles would attain a grade A, necessitating empirical verification. This research employed collaborative maps to analyze the publication patterns of authors using the Web of Science database, focusing on co-authorship patterns and the impact of their scholarly work. The study relied on various bibliometric indicators, such as publication count, citation metrics, h-index, and co-authorship networks, to provide a detailed assessment of the contributions made by each author in their field. Additionally, authors' IBPs were generated and assessed alongside collaborative maps, using a grading scale ranging from A (excellent) to F (lacking any articles as first or corresponding author). The analysis confirmed that all 4 research profiles achieved a grade A, with their centroids located in the third quadrant, indicating a high level of scholarly impact. The h-indexes for the authors were found to be 38, 51, 53, and 59, respectively. Notably, Dr Tseng from Taiwan showed a distinct pattern, with a significant number of solo-authored publications in the second quadrant, in contrast to the other 3 authors who demonstrated a greater emphasis on collaboration, as evidenced by their positioning in the first quadrant. The study successfully demonstrates that RSRP and IBPs can be effectively used to analyze and profile the research output of highly published authors through collaborative maps. The research confirms the initial hypothesis that all 4 profiles would achieve a grade A, indicating an excellent level of scholarly impact and a strong presence in their respective fields. The utility of collaborative maps can be applied to bibliometric indicators in assessing the contributions and impact of scholars in the academic community.

Robotic Surgery in Gynecologic Oncology—A Bibliometric Study

Study ObjectiveTo characterize robotic surgery publications in gynecologic oncology, and to identify factors associated with high citation metrics. DesignA cross-sectional study SettingOriginal articles on robotic surgery in gynecologic oncology. PatientsNo patients involved. InterventionsRobotic surgeries in gynecologic oncology. Measurements and Main ResultsWe performed PubMed Medical Subject Headings search for original articles on robotic surgery in gynecologic oncology. We analyzed citation scores and income level of country of publication, as well as factors associated with high citation metrics. Overall, 566 studies during 2005 to 2023 were included. Of those 292, 51.6% were from North America, and 182 32.2% from Europe. The leading tumor site studied was endometrial cancer (57.4%). The majority (87.6%) of studies were retrospective and 13 (2.3%) were randomized controlled trials. Most studies (94.2%) originated in high-income countries. Articles from middle-income countries had lower citations per year as compared to high-income countries (median 1.6 vs 2.5, p =.002) and were published in lower-impact factor journals (median 2.6 vs 4.3, p < .001) when compared with high-income countries. Cervical cancer studies had higher representation in middle-income countries than in high-income countries (48.5% vs 18.4%, p < .001). In a multivariable regression analysis, journal's impact factor [aOR 95% CI 1.26 (1.12–1.40)], cervical cancer topic [aOR 95% CI 3.0 (1.58–5.91)], and North American publications [aOR 95% CI 2.07 (1.08–3.97)] were independently associated with higher number of citations per year. ConclusionThe majority of robotic surgery research in gynecologic oncology is retrospective and from high-income countries. Middle-income countries are not as frequently cited and are predominantly in lower-impact factor journals.

A PEEP INTO THE FUTURE THROUGH THE PAST: A BIBLIOMETRIC ANALYSIS ON WOMEN TRAVELERS

The research explores the progress of studies on women travelers, examining publication trends, top contributors, collaborations, and thematic areas, while also exploring ways to make travel more convenient. For the achievement of these research questions, a bibliometric analysis has been conducted using data from the articles published in 41 journals dating from 1982 to 2023. For bibliometric analysis, collected data was analyzed with descriptive analysis, science mapping as bibliographic coupling, citation metrics, prestige analysis, keyword co-occurrence metrics; and network analysis as co-author analysis and co-citation analysis. The study reveals the top ten authors, organizations, and countries in women traveler-related literature, but a low total publication count suggests the need for comprehensive research. Five major themes that emerged were Women Travelers and Solo Travel, Women Travelers and Travel Motivation, Women Travelers and Purchase Intention, Women Travelers and Girlfriend Getaways, and Women Travelers, and Sexual Behaviour. The study identifies research gaps for future studies and suggests managerial actions to make women's travel more convenient. The study's values lie in enhancing the understanding of women traveler research, raising awareness of research frontiers, and guiding future directions in business travel niche market segments.

Sentiment-aware Enhancements of PageRank-based Citation Metric, Impact Factor, and H-index for Ranking the Authors of Scholarly Articles

Heretofore, the only way to evaluate an author has been frequency-based citation metrics. However, citations with a neutral sentiment possibly can not be considered in the same light as those expressing a positive or negative sentiment. We present sentiment-enhanced alternatives to three conventional metrics namely Impact Factor, H-index, and PageRank-based index. The proposal studies the impact of the proposed metrics on the ranking of authors. We experimented with two datasets, collectively comprising almost 20,000 citation sentences. The evaluation of the proposed metrics revealed a significant impact of sentiments on author ranking, evidenced by a weak Kendall coefficient for the Author Impact Factor and H-index. However, the PageRank-based metric showed a moderate to strong correlation, perhaps due to its prestige-based attributes. Furthermore, a remarkable Rank-biased deviation exceeding 28% was seen in all cases, indicating a stronger rank deviation in top-ordered ranks.

The significant yet short‐term influence of research covidization on journal citation metrics

The significant yet short‐term influence of research covidization on journal citation metrics

Pediatric Type 1 Diabetes: A Bibliometric Analysis of the 100 Most-cited Publications

Abstract Background: The most impactful research on pediatric type 1 diabetes (T1D) remains unknown. Objective: We aimed to evaluate the characteristics and impact of the 100 most-cited articles on pediatric T1D. Materials and Methods: Using a predefined bibliometric strategy, the Scopus database was searched for high-cited papers (HCPs) published from 2001 to 2020. Articles were evaluated for data on the publication year, countries, authors, journals, topics, and types. Social network analysis was performed to visualize the interaction among countries, organizations, and authors using VOSviewer software. Results: The top 100 HCPs received 390 to 4634 citations, averaging 773.5 citations per paper (CPP). The funded HCPs (n = 50) had a higher impact (CPP 791.5). The majority of HCPs (n = 83) were collaborative. Classifying by research type, 65 studies were clinical (n = 65), risk factors (n = 27), epidemiology (n = 26), pathophysiology (n = 16), treatment outcome (n = 13), genetics (n = 12), complications (n = 3), quality of life (n = 2), and prognosis (n = 1). The number of authors involved was 1,101, affiliated with 545 organizations in 27 countries; the USA (n = 64) and the UK (n = 24) were the most productive countries, whereas Australia and the UK were the most impactful. D.M. Nathan and J.M. Lawrence were the most prolific authors, while P. Raskin and J.M. Lachin were the most impactful. Conclusions: High-income countries such as the USA, UK, and Australia contribute significantly to high-impact pediatric T1D research. Funding and collaboration improve the impact of citations in publications. Less researched areas such as treatment outcomes, genetics, complications, quality of life, and prognosis should be the focus of future research on pediatric T1D.

Scientometric Analysis of Global Scientific Production on Dragon Fruit in the Food Nutrition Industry: Dynamicity, Emerging Patterns, and Thematic Evolution

The objective of the study was to perform a scientometric analysis of the scientific production of dragon fruit in the food industry. A descriptive study was conducted based on the scientific production published between January 2018 and April 2024. Papers were identified through a search in the Scopus database, resulting in 266 manuscripts. Several scientometric indicators were used to analyse the scientific output, including author, affiliation, country, academic output, citations per publication, field-weighted citation impact, and h-index. Despite an annual growth rate of −14.72%, the average age of the papers was 2.91 years, with an average of 9015 citations per paper. The papers contained 14,614 references, 1792 Keywords Plus, and 907 Author’s Keywords. There were 1273 authors involved, with 12 authors of single-author papers. International collaborations accounted for 23.31% of the collaborations. The papers comprised 175 articles, 2 books, 21 book chapters, 28 conference papers, 2 conference reviews, 2 errata, and 36 reviews. This study provides a comprehensive view of the scientific production in this field of study, allowing the identification of patterns and trends in the scientific literature. The results highlight the importance of dragon fruit in the food industry and underscore the need for future research in this field.

Examining the Trends, Themes and Social Structure of Teacher Leadership Literature: A Bibliometric Review

Over the past decade, teacher leadership has garnered significant attention, playing a pivotal role in educational reform and enhancement. This bibliometric analysis explores teacher leadership research within the Scopus database from 2014 to 2023. The study aims to identify emerging trends, research gaps, and future implications for educational practice. By reviewing diverse studies, it examines the impact of leadership styles on teacher morale, student achievement, and school improvement. Additionally, it investigates educators' roles in fostering positive school climates, driving change, and promoting collaboration within the educational community. The data collection involved retrieving 1048 articles using the keyword "teacher leadership." Tools such as Microsoft Excel for frequency analysis, data visualization, and Harzing's Publish or Perish for citation metrics were employed to analyze the data. This analysis aims to deepen our understanding of the multifaceted dimensions of teacher leadership, providing valuable insights for researchers and practitioners. The study evaluates various bibliometric indicators, including language, subject area, publication trends, contributing countries, influential institutions, active source titles, citation patterns, authorship characteristics, and keyword distributions. The results highlight a significant increase in teacher leadership literature from 2014 to 2023, with the United States leading in contributions, followed by Turkey. In conclusion, this bibliometric analysis offers a comprehensive overview of teacher leadership research over the past decade. The identified trends and research gaps provide valuable insights for researchers, educators, and policymakers, supporting the advancement of teacher leadership as a critical tool for enhancing educational outcomes and professional development in the 21st century.

Assessing Sustainability Disclosure Trends in State-Owned Enterprises:A Comprehensive Review

Sustainability disclosure is increasingly important as stakeholders demand transparency in organizations' environmental, social, and governance (ESG) practices. State-owned enterprises (SOEs), particularly in developing countries, face distinct challenges in sustainability reporting due to governance structures and political influences. Despite their significant role in many economies, the quality and extent of SOE disclosures remain underexplored. This study reviews 138 journal articles from 1991 to 2021, examining sustainability disclosures in SOEs using bibliometric analysis via the biblioshiny interface. Key sources, authors, countries, and research themes were identified, with core publications categorized through Bradford’s Law. The findings show a growing emphasis on ESG metrics, corporate governance, and environmental responsibility. The Journal of Cleaner Production and Meditari Accountancy Research were identified as the most impactful journals. The USA leads in publication output, while Spain has the highest citation impact. The study also reveals research gaps, such as the need for sector-specific studies and further exploration into the alignment between reported sustainability efforts and actual practices. This research provides valuable insights for policymakers and researchers, offering a roadmap for future studies on SOE sustainability disclosures.

Impact as equalizer: the demise of gender-related differences in anti-doping research

In general, the presence and performance of women in science have increased significantly in recent decades. However, gender-related differences persist and remain a global phenomenon. Women make a greater contribution to multidisciplinary research, which renders anti-doping research a compelling area for investigating the gendered aspects of academic research. The research design was based on the overall research aim to investigate whether gender in a specific field (ADS) has an effect on different aspects of research impact, including (1) the size of citation impact obtained by the research output, (2) the impact on the development of the knowledge base of ADS, expressed as the capacity of integrating knowledge from different research areas, and (3) the (expected) type of research impact targeting either societal or scientific developments (or both). We used a previously compiled dataset of 1341 scientific outputs. Using regression analysis, we explored the role of authors’ gender in citations and the effect of authorship features on scientific impact. We employed network analysis and developed a novel indicator (LinkScore) to quantify gendered authors’ knowledge integration capacity. We carried out a content analysis on a subsample of 210 outputs to explore gender differences in research goal orientation as related to gender patterns. Women’s representation has been considerably extended in the domain of ADS throughout the last two decades. On average, outputs with female corresponding authors yield a higher average citation score. Regarding women's knowledge integration roles, we can infer that no substantial gender differences can be detected. Dominantly female papers were overrepresented among publications classified as aimed at scientific progress, while the share of male-authored papers was higher in publications classified as aimed at societal progress. Although no significant gender difference was observed in knowledge integration roles, in anti-doping women appear to be more interdisciplinary than men.

Predicting citation impact of academic papers across research areas using multiple models and early citations

As the volume of scientific literature expands rapidly, accurately gauging and predicting the citation impact of academic papers has become increasingly imperative. Citation counts serve as a widely adopted metric for this purpose. While numerous researchers have explored techniques for projecting papers’ citation counts, a prevalent constraint lies in the utilization of a singular model across all papers within a dataset. This universal approach, suitable for small, homogeneous collections, proves less effective for large, heterogeneous collections spanning various research domains, thereby curtailing the practical utility of these methodologies. In this study, we propose a pioneering methodology that deploys multiple models tailored to distinct research domains and integrates early citation data. Our approach encompasses instance-based learning techniques to categorize papers into different research domains and distinct prediction models trained on early citation counts for papers within each domain. We assessed our methodology using two extensive datasets sourced from DBLP and arXiv. Our experimental findings affirm that the proposed classification methodology is both precise and efficient in classifying papers into research domains. Furthermore, the proposed prediction methodology, harnessing multiple domain-specific models and early citations, surpasses four state-of-the-art baseline methods in most instances, substantially enhancing the accuracy of citation impact predictions for diverse collections of academic papers.

Will AI Flood Us with Irrelevant Papers?

Raising questions about the future of citation metrics and the effectiveness of peer review in a world where authorship may not solely reside with humans.

Scientometric Analysis of the World Scientific Production on Augmented and Virtual Reality in Dental Education.

The aim of this study was to perform a comprehensive bibliometric analysis of virtual reality (VR) and augmented reality (AR) applications in dental education. A cross-sectional research was carried out using a bibliometric methodology. This process entailed the assessment of metadata from scientific publications that are catalogued in the Scopus database, covering the period from January 2018 to August 2023. A variety of indicators were utilized to scrutinize scientific production and dissemination within the academic community. These encompassed elements such as the author, the publication itself, the number of citations, institutional and collaborative affiliations, geographical location, journal quartile ranking, h-index, Source Normalized Impact per Paper (SNIP), Field-Weighted Citation Impact (FWCI), SCImago Journal Rank (SJR), and the CiteScore. Several institutions from different countries and their academic output were found. Beihang University stands out with 16 scholarly articles, followed by Stanford University with 16 articles and 170 citations. The Q1 quartile has experienced a steady increase, reaching 87 scientific articles. The top 10 authors in scientific production on augmented and VR in dentistry include Joe Amal Cecil, Avinash Gupta, and Miguel A Pirela-Cruz. In terms of co-authorship by country, the United States, Germany, and China are the most predominant in the clusters represented. However, other clusters also have a significant presence. By analyzing the explored trends and themes of keyword co-occurrence, four main clusters were identified. The yellow cluster contained the largest amount of research with the keyword "virtual reality." In addition, the blue cluster was found to be best related to the green "simulation," purple "virtual reality (VR)," and light blue "human-centered computing" clusters. This study evidenced the availability and quality of the data used for the analysis. Future studies could consider the use of VR systems with integrated eye tracking and compare their effect in dentistry during dental procedures. The clinical importance of this study lies in its potential to improve dental education. The VR and AR can provide dental students with immersive, hands-on learning experiences, which can enhance their understanding and clinical skills. Furthermore, the translational value of this study extends beyond dental education. The insights gained from this research could be applicable to other fields of medical education where hands-on training is crucial. Thus, the findings of this study have the potential to influence the broader landscape of medical education, ultimately leading to improved healthcare outcomes. How to cite this article: Alvitez-Temoche D, Silva H, Aguila ED, et al. Scientometric Analysis of the World Scientific Production on Augmented and Virtual Reality in Dental Education. J Contemp Dent Pract 2024;25(4):358-364.

Growth and Trends of Geometrical Optics Research Using Scientometrics Indicators

ABSTRACT Geometric Optics is a rapidly-evolving field with implications for a broad range of applications, from biomedical imaging to advanced materials engineering. This comprehensive bibliometric analysis presents an in-depth examination of global research in Geometric Optics from 2012–2021, using data from the Scopus database. The analysis reveals a total of 5,388 publications authored by 15,277 individuals, with a steady annual growth rate of 3.7% and an impressive citation impact of 11.99% per paper. The top 20 productive authors are identified, who contributed to 18.5% of global publications and 11.1% of citations, and the international collaboration networks that have emerged around key research areas are mapped. The study also reveals an expanding research landscape, with emerging areas such as nanophotonics and metamaterials gaining traction. These findings provide a comprehensive overview of the global research landscape in Geometric Optics, which can be used to guide future research and collaborative efforts. The study represents a valuable resource for researchers, practitioners, and policymakers alike, seeking to advance the field and unlock its full potential.

Emergent Patterns, Collaborative Networks and Thematic Evolution on Black Stain and Dental Caries: A Scientometric Study.

To conduct a scientometric analysis on black stains, and dental caries, with a focus on identifying emergent patterns, collaborative networks, and thematic evolution. A retrospective, descriptive, observational study was conducted using a scientometric approach. The Scopus database was utilized for literature search, selecting articles published between 1976 and 2023. The literature search was carried out on February 8, 2024, using AND and OR Boolean operators which were adapted to the search strategy. Finally, SciVal used different scientometric indicators such as "Scholarly Output", "Views Count", "Field-Weighted Citation Impact" and the "Citation Count". A total of 13 documents from 10 different sources were analyzed, covering a period from 1976 to 2023. Despite an annual growth rate of 0%, each document has an average of 21.08 citations, indicating their relevance in the field. The documents have an average age of 12.9 years and contain 336 references. A total of 143 additional keywords and 26 author keywords were identified. The documents were written by 62 different authors, with an average of 5 coauthors per document and 30.77% international coauthorships. The results indicate a significant relevance of the documents in the field, a notable collaboration among authors, and a significant thematic evolution in the research topics. The mentioned institutions and sources produced documents with notable results, indicating a significant interest and impact in the field. This study provides a detailed view of the trends and patterns in the research of dental caries and black stains. The findings can assist dental health professionals in better understanding the prevalence and impact of these conditions. Furthermore, it can guide future research and treatment strategies in this field. How to cite this article: Mayta-Tovalino F, Espinoza-Carhuancho F, Reyes-Carmona J, et al. Emergent Patterns, Collaborative Networks and Thematic Evolution on Black Stain and Dental Caries: A Scientometric Study. J Contemp Dent Pract 2024;25(4):326-330.

Ranking women economists in the U.S. South: results from citation counts and metrics

ABSTRACT This paper addresses the paucity of rankings of women in the economics profession by presenting citations-based rankings of women economists at national colleges and universities in the U.S. South. Based on total citations and two citations indexes – the h-Index and the g-Index – Maureen Cropper of Maryland, Catherine Eckel of Texas A&M, Nora Lustig of Tulane, Sebnem Kalemli-Ozcan of Maryland, and Katharine Abraham of Maryland consistently occupy the top ranks among women economists in the U.S. South. When the research impact of these and other women economists in the U.S. South is compared to that of their predecessors across the entire country, as in Medoff and Sov (1990), one gets a picture of the substantial impact of their academic research.