Journal Rankings Research Articles

Engineering the Future: TESEA's Commitment to Quality and Innovation

Deputy Editor Oscar Acevedo discusses the journal's most recent achievements and commitment to quality and innovation. The editorial highlights TESEA's inclusion in SCOPUS in 2023, its Q4 ranking in the Scimago Journal Rank (SJR), and its acceptance for indexing in the Directory for Open Access Journals (DOAJ).

Uncovering gaps in women's authorship: A big data analysis in academic surgery.

Women are underrepresented in surgical authorship. Using big data analyses, we aimed to investigate women's representation as first and last authors in surgical publications worldwide and identify underlying predictors. We retrieved eligible surgical journals using Scimago Journal & Country Rank 2021. We queried articles indexed in PubMed from selected journals published between January 2018 and April 2022. We used the EDirect tool to extract bibliometric data, including first and last authors' names, primary affiliation country, and publication year. Countries and dependent territories were classified following World Bank income levels and regions. Women's representation was predicted from forenames using the Gender-API software. Citations were included if gender accuracy was ≥80%. We analyzed 210,853 citations containing both first and last authors' forenames, representing 158 countries and 14 territories. Women constituted 23.8% (50,161/210,853) of the first and 14.7% (31,069/210,853) of the last authors. High-income economies had more women as first authors than other income categories (p<0.001), but fewer women as last authors than upper-middle- and lower-middle-income economies (p<0.001). The odds of the first author being a woman were more than three times higher when the last author was also a woman (OR 3.21, 95% CI 3.13-3.30) and vice versa (OR 3.25, 95% CI 3.16-3.34) after adjusting for income level and publication year. Women remain globally underrepresented in surgical authorship. Our findings urge concerted global efforts to overcome identified disparities.

A decade of international diversity in collaborative research published in highly ranked accounting journals

PurposeThis study examines the patterns of international diversity in collaborative research published in highly ranked accounting journals.Design/methodology/approachWe examine four types of collaborations: regional, inter-regional, European national and European international. The empirical study is based on 4,033 articles published in 13 journals between 2010 and 2019. Social network analyses were carried out for the inter-regional and the European international collaborations.FindingsThe broad analysis of the regional and inter-regional collaborations reveals not only significant differences between the non-North American journals and the North American but also important dissimilarities among the non-North American journals. The analysis of the European collaborations reveals significant differences between the journals where the UK institutions play a significant role in leading a network of European researchers and the journals where the Dutch and/or German institutions also play a significant role in another network as European leaders in terms of research.Research limitations/implicationsAlthough it reveals the patterns of internationalization of the highly ranked accounting journals, and offers some insights regarding why such patterns exist, it does not assess co-authorship networks with regard to the authors' orientation in terms of methods and research topics. We acknowledge that the networks amongst authors should also be influenced by the specific PhD-granting institutions. However, we let the data speak to these points, showing how journals differ in publication patterns. Not all highly ranked journals in accounting have the same networks and patterns of co-authorship. Another limitation pertains to the limited aspect of diversity it focuses on, that of geographical diversity. Furthermore, our analyses do not speak directly to the nationalities of the authors, but to the country in which the publication was granted at the time of the paper's publication.Practical implicationsOur findings show that the patterns of international diversity in all the types of collaborations under examination in the highly ranked accounting journals vary across different groups of journals. The “North-American or North-American inspired journals” (Guthrie et al., 2019, p. 12) have the highest level of geographical concentration and the North American universities/institutions contribute with the majority of the papers. The “non-North American journals” – the leading journals for critical, interpretive and interdisciplinary approaches (Hussain et al., 2020) and those which are more acceptive of these latter approaches – have a lower level of geographic concentration of the papers and there is a broader set of regions and countries involved, including North American countries, the UK and two Continental European countries (Germany and the Netherlands).Originality/valueOur study shows empirically that the patterns of international diversity in all the types of collaborations under examination in the highly ranked accounting journals vary across different groups of journals, revealing not only significant differences between the North American and non-North American journals in accounting, but also showcasing how the non-North American journals present a lot more heterogeneity. We also believe the analysis of the European case is a noteworthy contribution of this study given existing accounting literature fails in acknowledging European diversity.

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.

Progress of The Ukrainian Biochemical Journal thanks to Collaboration with RECOOP HST Association

The article examines the impact of cooperation between The Ukrainian Biochemical Journal (UBJ) and the international association RECOOP HST on the journal’s development in 2019-2023. During this period, 324 articles were published in the journal. Most of them are written by Ukrainian authors (79.9%). Foreign authors (20.1%) are representatives of 15 countries. An online manuscript handling and reviewing system were implemented on the journal’s website, which increased the number of articles received by the editorial office and allowed for a more careful selection of manuscripts at the initial evaluation stage. As a result, the percentage of rejected manuscripts increased from 36.5 to 67.7%. RECOOP’s support has also played a key role in improving the quality of UBJ’s publications through the renewal of its editorial board and expanding its international reviewer base. In collaboration with RECOOP, eight special issues of UBJ were produced separately, including four themed issues. In total, 56 articles (110 citations) were published in these issues. The number of visitors to UBJ’s website almost tripled during the mentioned period. Currently, UBJ’s Scimago Scientific Journal Rank (SJR) for 2022/2023 is 0.169, the h-index is 20, and the Impact Score is 0.63. A conclusion is made that the cooperation with RECOOP contributed to the publication of better scientific articles, the involvement of highly qualified experts in the peer review process, and stricter adherence by the journal to the fundamental provisions and ethical standards, thereby leading to an elevation in UBJ’s rating and recognition in the global scientific arena. Keywords: COMET, increasing UBJ’s global visibility, project implementation, RECOOP, thematic issue, UBJ

Corporate Governance as a Detector of Financial Statement Fraud: Systematic Literature Review

Financial reporting fraud occurs when someone misunderstands the financial condition of a company deliberately or not. One of the causes of financial statement fraud is poor governance. This study aims to describe the development of corporate governance research as a detector of financial statement fraud. The method used in this study is Systematic Literature Review. Publish or Perish (PoP) software is used to search for articles. Based on the synthesis results, there are five corporate governance structure mechanisms that can detect financial statement fraud: auditor, board of directors, internal control, shareholders, and performance. The synthesis results show that each corporate governance structure mechanism has not been able to work together to detect financial statement fraud. Therefore, there is a need for cooperation to minimize financial statement fraud. Future research is expected to use more data to increase understanding of how companies detect financial statement fraud by accessing e-resources such as Elsevier, Springer, Emerald Insight, and Wiley. Meanwhile, Scimago can be used to assess the quality and ranking of journals.

Expert-guided evaluation of medical research may promote publishing low-quality studies and increase research waste: A comparative analysis of Journal Impact Factor and Polish expert-based journal ranking list.

Expert-guided evaluation of medical research may promote publishing low-quality studies and increase research waste: A comparative analysis of Journal Impact Factor and Polish expert-based journal ranking list.

Chinese Academy of Science Journal Ranking System (2015–2023)

This work examines China's mainstream journal ranking system from the Chinese Academy of Science (CAS), including its history, recent reforms, and current operation, with a particular focus on Physics of Fluids. Using official statistics, this paper analyzes the Physics of Fluids standings in the CAS system from 2015 to 2023. During these years, Physics of Fluids experienced a significant increase in both popularity and impact. Meanwhile, the CAS system underwent substantial reforms, including the newly proposed Advanced edition, which universally boosted fluids journal academic weights in China. Most notably, the brand-new Field Normalized Citation Success Index (期刊超越指数 or FNCSI) offered a new lens through which to assess academic journal impact. Statistics reveal that Physics of Fluids is in a promising position to become the fourth Tier 1 fluids journal to enter any of CAS's Major Categories (after the Annual Review of Fluid Mechanics, Nuclear Fusion, and Plasma Sources Sciences and Technology) and the first-ever non-review-only Tier 1 fluids journal to enter the Engineering and Technology (工程技术 E&amp;T) Major Category. Finally, this paper suggests several directions for Physics of Fluids to direct future endeavors as it enjoys heightening popularity in China.

Evaluation and Comparison of Academic Impact and Disruptive Innovation Level of Medical Journals: Bibliometric Analysis and Disruptive Evaluation.

As an important platform for researchers to present their academic findings, medical journals have a close relationship between their evaluation orientation and the value orientation of their published research results. However, the differences between the academic impact and level of disruptive innovation of medical journals have not been examined by any study yet. This study aims to compare the relationships and differences between the academic impact, disruptive innovation levels, and peer review results of medical journals and published research papers. We also analyzed the similarities and differences in the impact evaluations, disruptive innovations, and peer reviews for different types of medical research papers and the underlying reasons. The general and internal medicine Science Citation Index Expanded (SCIE) journals in 2018 were chosen as the study object to explore the differences in the academic impact and level of disruptive innovation of medical journals based on the OpenCitations Index of PubMed open PMID-to-PMID citations (POCI) and H1Connect databases, respectively, and we compared them with the results of peer review. First, the correlation coefficients of the Journal Disruption Index (JDI) with the Journal Cumulative Citation for 5 years (JCC5), Journal Impact Factor (JIF), and Journal Citation Indicator (JCI) were 0.677, 0.585, and 0.621, respectively. The correlation coefficient of the absolute disruption index (Dz) with the Cumulative Citation for 5 years (CC5) was 0.635. However, the average difference in the disruptive innovation and academic influence rankings of journals reached 20 places (about 17.5%). The average difference in the disruptive innovation and influence rankings of research papers reached about 2700 places (about 17.7%). The differences reflect the essential difference between the two evaluation systems. Second, the top 7 journals selected based on JDI, JCC5, JIF, and JCI were the same, and all of them were H-journals. Although 8 (8/15, 53%), 96 (96/150, 64%), and 880 (880/1500, 58.67%) of the top 0.1%, top 1%, and top 10% papers selected based on Dz and CC5, respectively, were the same. Third, research papers with the "changes clinical practice" tag showed only moderate innovation (4.96) and impact (241.67) levels but had high levels of peer-reviewed recognition (6.00) and attention (2.83). The results of the study show that research evaluation based on innovative indicators is detached from the traditional impact evaluation system. The 3 evaluation systems (impact evaluation, disruptive innovation evaluation, and peer review) only have high consistency for authoritative journals and top papers. Neither a single impact indicator nor an innovative indicator can directly reflect the impact of medical research for clinical practice. How to establish an integrated, comprehensive, scientific, and reasonable journal evaluation system to improve the existing evaluation system of medical journals still needs further research.

Doctoral theses at the medical faculty of Tunis from 2015 to 2017: Scientific publication rates and associated factors.

Medical doctoral thesis publication is a way to ensure knowledge dissemination and to increase the scientific research visibility. To determine thesis-related publication's rate at the Faculty of Medicine of Tunis (FMT), and identify associated factors. Cross-sectional retrospective study including medical theses registered at the FMT over the study period (2015-2017). All publications related to the defended thesis were collated by scanning Scopus and Google scholar databases, up to April 2022. Binary logistic regression was performed to assess associated factors to publication. Adjusted Odds Ratios (AOR) were presented with 95% confidence interval. Out of 878 defended theses, 11.8% (n=104) were published. Out of 130 publications in total, 90 (69.2%) interested Scopus-indexed journals with a mean Scimago Journal Rank (SJR) of 0.70. The publication was in English in 73.1% of cases. The median time between the thesis defense and the first scientific publication was 15 months. In multivariable analysis, associated factors to "at least one thesis-related publication" were the resident status of the candidate (AOR=2.35 [1.2-4.7]) and the grade assistant professor of the thesis supervisor (AOR=2.48 [1.1-5.6]). Compared to the number of defended theses, the thesis-related publication's rate at the FMT is relatively low. Thus, enhanced support for doctoral students to optimize their engagement in research and to consequently promote scientific publication is highly recommended.

Executive compensation, sustainable business practices and firm performance: a systematic literature review and future research agenda

PurposeThis paper provides the latest systematic literature review (SLR) of prevailing studies on the interrelationship among executive compensation, financial performance and sustainable business practices. This SLR is done in three parts: (1) examine the theories employed by previous studies; (2) identify the unique variables employed by researchers in analysing this interrelationship and (3) explore potential opportunities for further study in the field.Design/methodology/approachThis study conducted an SLR analysing studies from the Web of science, Scopus and EBSCO in over 20 countries from 2009 to 2022 published in several top-ranked journals. We utilised various search strings using the key phrases “executive compensation”, “CEO Pay”, “financial performance” and “sustainable business practices”. The initial sample of 27,210 was filtered with our meticulous inclusion and exclusion criteria to produce a list of 161 studies.FindingsOur findings are as follows: first, most studies encompassing this subject area lack multi-theoretical perspectives with agency theory being the most dominant theoretical viewpoint; second, we observed the use of monotonous quantitative research methods, with studies heavily lacking qualitative and mixed-method research approaches; finally, there is a palpable gap in cross-country studies.Research limitations/implicationsThere are a few limitations that must be acknowledged. First, the inclusion criteria ensured that only articles published in the CABS journal ranking of three star and above. Thus, this review may not be a precise reflection of the EC, FP and SBPs literature scope. The inclusion criteria also limit our review to only accounting, finance, management and business-related studies about the topic. Therefore, future studies could explore studies ranked three star and below and from other subject areas.Originality/valueThis study contributes to the existing literature by conducting a comprehensive SLR that examines both the theoretical underpinnings and empirical evidence on this topic. It builds upon previous research and extends our understanding of the interrelationship among executive compensation, financial performance and sustainable business practices.

K-Means clustering of dermatology journals: comparing the distribution of "free-to-publish" and "pay-to-publish" models.

This study investigates the impact of Free-to-Publish (F2P) versus Pay-to-Publish (P2P) models in dermatology journals, focusing on their differences in terms of journal metrics, Article Processing Charges (APCs), and Open Access (OA) status. Utilizing k-means clustering, the research evaluates dermatology journals based on SCImago Journal Rankings (SJR), H-Index, and Impact Factor (IF), and examines the correlation between these metrics, APCs, and OA status (Full or Hybrid). Data from the SCImago Journal Rank and Journal Citation Report databases were used, and metrics from 106 journals were normalized and grouped into three tiers.The study reveals a higher proportion of F2P journals, especially in higher-tier journals, indicating a preference for quality-driven research acceptance. Conversely, a rising proportion of P2P journals in lower tiers suggests potential bias towards the ability to pay. This disparity poses challenges for researchers from less-funded institutions or those early in their careers. The study also finds significant differences in APCs between F2P and P2P journals, with hybrid OA being more common in F2P.Conclusively, the study highlights the disparities in dermatology journals between F2P and P2P models and underscores the need for further research into authorship demographics and institutional affiliations in these journals. It also establishes the effectiveness of k-means clustering as a standardized method for assessing journal quality, which can reduce reliance on potentially biased individual metrics.

Do corporate hedge theories explain the natural hedge strategies of firms? A meta-analytic review

This meta-analysis of 54 empirical studies examines the determinants of natural hedging. Our findings reveal that firm's risk exposure, economies of scale, and strategic considerations prompt natural hedge. Financial distress and underinvestment theory also partially explain the preference for natural hedge; however, their effect's economic relevance is low. Factors influencing natural hedging differ across geographical regions and impact the choice of natural hedging strategies. For instance, highly profitable firms prefer foreign debt, whereas highly leveraged firms prefer operational modifications as natural hedge strategy. Data sources, model specifications, econometric methods, and journal rankings further explain heterogeneity in effect sizes across studies.

Determinants of Citations in Tourism and Hospitality Studies

Citation metrics are frequently used to assess research and rank journals and researchers. Nevertheless, this is still a process with asymmetric information. Tourism research has matured within a small community and through a multidisciplinary scientific paradigm. This paper aims to understand the determinants of tourism research citation patterns. To this end, 101,968 papers within fifteen years (2004-2018) are analysed. Our empirical results suggest that authors’ prestige, the multidisciplinary nature of research, and the impact factor of journals and bibliometric articles will likely increase an article’s citations. This paper represents a step forward in understanding the citation formation process in tourism research.

Research on scientific knowledge evolution patterns based on ego-centered fine-granularity citation network

A deep comprehension of the development of scientific knowledge is necessary to properly appreciate technological advancement and the process of knowledge innovation. However, fine-grained citation networks are less frequently utilized to characterize the evolution of scientific knowledge. To bridge this gap, we first constructed the fine-grained citation networks based on the PubMed and Web of Science (WOS) databases, then extracted the ego-centered networks of scientific knowledge, and finally employed Exponential Random Graph Models (ERGMs) to analyze the factors influencing the formation of Ego-centered Fine-granularity Citation Networks (EFCNs), taking into account the endogenous network structure and exogenous knowledge attribute variables. The results reveal that both types of variables play pivotal roles in the evolution of scientific knowledge. Furthermore, we found that (1) the in-degree and the out-degree centrality have a positive effect on knowledge evolution, respectively, in the 98.5 % and 99.9 % sample networks, while the clustering coefficient only has a positive effect on the edge formation of the 6.8 % sample network at the 0.05 significance level. (2) The citation behavior and domain impact of authors positively influence the scientific knowledge evolution, respectively, in the 63.2 % and 78.3 % sample networks. (3) There is a tendency to form citation relationships between scientific knowledge units of similar age in 67.1 % of the sample networks. (4) There is a greater possibility of developing a citation relationship between scientific knowledge with the same journal impact rank and knowledge type. Our findings indicate that the evolution of scientific knowledge is influenced not only by the process of scholarly communication but also by self-organizing mechanisms at the fine granularity level.

Assessing publication trends in selected GIScience journals

This study examines recent publishing trends in geographic information science (GIScience) journals. The study considers citable items (research articles, reviews) in 24 selected journals, and assesses them for the period between 2018 and 2023. The study begins by providing an overview of GIScience journal publishing trends, including growth in absolute numbers and the proportion in which they disseminate research as open access (OA). The geographic footprint of GIScience authors and international collaboration are also explored. Journals and their impact, reputation, and perceived quality are assessed using common journal metrics, including impact factor, 5-year impact factor, CiteScore, source normalized impact per paper (SNIP), SCImago Journal Rank (SJR), immediacy index, article influence score and normalized Eigenfactor. A composite index consisting of all these metrics from 2022 is established. The paper finds that GIScience is increasingly disseminated as OA. There is evidence that the Global South is underrepresented in GIScience, which necessitates greater inclusion and support in these regions. Finally, the assessment of journal metrics helps researchers identify prominent GIScience journals for disseminating their work effectively. This paper contributes to the knowledge and understanding of recent publishing trends in GIScience, offering valuable insights to researchers, practitioners and journal editors.

Big Data in Tourism Destinations: A Systematic Literature Review

Tourism is an industrial sector that has a variety of data originating from tourists. This data can be utilized and reprocessed through the application of artificial intelligence technology such as big data and machine learning to analyze and predict tourist patterns so that it can be used in developing the tourism sector. This research aims to present a systematic literature review regarding the role of big data and machine learning in the tourism context. This research reviews 25 research papers related to big data and machine learning applied in the tourism industry. The categorization of tourism research related to big data and machine learning is based on research published from 2018 to 2023. The focus of this research is to provide an in-depth review based on journal rankings, research objectives, types of data used, and algorithms applied in the research . The results of this research are to provide a systematic literature review that can be used to help future researchers discover new research topics and present insights into future prospects regarding the use of big data and machine learning in tourism.

Mental Health During COVID-19: An Evaluation of Academic Universities' Contribution to Existing Research.

Increases in mental health problems have been observed during COVID-19 pandemic. Therefore, this topic of research became a priority, especially at the academic level. The objectives of this review were to summarize academic contribution to mental health research during the era of COVID-19. A scoping review of studies conducted at different academic institutions and examining alterations in mental health during the pandemic during the last three years was conducted. Fifty-five studies were included. These focused on different mental health changes that occurred in the era of COVID-19 such as changes in work habits or existing psychological conditions, COVID-19-related fear depression, anxiety and stress. Most of the included studies were observational (76.7%). The majority of the publications were published in Scimago Journal Rank Q1 journals (57.1%). The average number of citations per publication was 15.3 ± 30.13 [0-125]. The number of citations was higher in papers with international collaboration of authors (p = 0.031). Publications with COVID-19 as a main objective were more cited than papers not directly related to this subject (25.9 ± 39.45 vs 4.14 ± 3.2; p = 0.044). Mental health problems are a common response to the COVID-19 pandemic. The contribution of academic universities to different mental health research studies that took place during COVID-19 outbreak have underlined this reality. However, more representative research from other institutional settings will be needed, particularly in vulnerable populations.

Quantitative and Qualitative Analysis of the Indian Journal Annals of Library and Information Studies with Comparative to Indian and Worldwide Journals: A Study

ABSTRACT This study conducted the bibliometric analysis of the journal “ALIS” and its comparison to other journals worldwide and in India. The data were sourced from the Scopus database with the help of advanced searching from 2018 to 2021, in which 108 papers were received for the study. This study studies the authorship pattern and the extent of collaboration. Total citations received, most prolific author and country's contribution, highest cited paper, and year-wise productivity of the journal The results reveal that India is the highest contributing country, i.e., from 2018 to 2021. Sri Lanka is the second-leading contributing country, and Iran is in third place. The extent of collaboration is 0.71 between authors. Four authors have published four articles each during this tenure. If we count the year-wise productivity of the journal, 2021 is the leading year both in terms of publication and the number of citations received. It found that in 2020, the journal's rank will be 110, which will continue increasing. It also reveals the top 10 ranking in the database, in which the International Journal of Information Management scored the first rank.

Academic Productivity in Ophthalmology and Its Correlation to National Economic Indicators Among the OECD Countries: A Bibliometric Analysis

ABSTRACT Purpose Prompted by the clinical concern that limited healthcare resources allocation affects physicians’ research productivity, this study examines the association between bibliometric indices of ophthalmologic research and national economic indicators in Organisation for Economic Co-operation and Development (OECD) countries. Methods The Scimago Journal and Country rank source was searched for research productivity data in ophthalmology among OECD countries between 1996 and 2019. Bibliometric indices included: documents number, number and percent of citable documents, citations number, citations per document, and H-index. The updated economic indicators of each country (gross domestic product [GDP] per capita, health spending as percent of GDP (health expenditure), gross domestic expenditure on research, and development as percent of GDP [GERD]) were collected from the World Bank and the OECD websites. Correlation between economic and bibliometric metrics and multivariate linear regression analyses were performed. Results Among 267,444 documents analyzed, correlation analysis found a strong correlation between health expenditure and H index (r = 0.711, p < 0.001); a moderate correlation between health expenditure and documents number (r = 0.589, p < 0.001), number of citable document (r = 0.593, p < 0.001) and citations number (r = 0.673, p < 0.001); and a moderate correlation between GERD and H index (r = 0.564, p < 0.001). Multivariate regression analysis controlling for economic factors, population and language showed the independent association of these parameters with bibliometric indices. Conclusions This study demonstrates a positive correlation between bibliometric indicators of ophthalmology research and economic factors, particularly health expenditure, among the OECD countries. Our results suggest an advantage of domestic investment in health to expand academic productivity in the field of ophthalmology.