Journal Rankings Research Articles

Menelaah Peluang Perkembangan Pendidikan Islam Indonesia di Masa Depan Melalui Analisis Bibliometrik

This research, conducted in March 2024, focused on Islamic education through a Google Scholar database search, sampling 500 articles published between 2014-2024. Utilizing Publish or Perish (PoP) version 8.12 for metadata retrieval, the study analyzed publication trends, researcher productivity, and journal ranks descriptively. Results were exported into PoPCites format, mapped in Ms. Word 2021, and analyzed using VOSViewer (VV) version 1.6.20. Findings revealed fluctuating publication trends, with e-journals contributing the most (405 articles). Notable researchers include Hapza Ali (6 articles), Kemas Imron Rosadi (7 articles), and Rahmat Hidayat (4 articles). VV visualization depicted the research landscape with five clusters: Cluster 1 (6 items), Cluster 2 (6 items), Cluster 3 (4 items), Cluster 4 (2 items), and Cluster 5 (2 items), predominantly focusing on Islamic education and Islam.

High-Impact Scientific Production of Thesis Advisors in the Faculties of Accounting in Peru, 2023

Describe the high impact scientific production of thesis advisors belonging to accounting faculties in Peru at the undergraduate level for the period 2023. A descriptive and cross-sectional study was carried out. The study was carried out on the basis of 1,784 undergraduate theses reviewed from the accounting faculties of the nine Peruvian universities ranked in the Scimago Journal Rank 2023 page. The scientific production of the advisors was searched in the Scopus database, as well as their qualification as Renacyt (National Scientific, Technological and Technological Innovation Regulation applicable to researchers in Peru). Only 25 thesis advisors (3.4%) have high impact scientific production. And 52 thesis advisors (7.1%) present Renacyt qualification. From the combination of the results we have that the accounting faculties in Peru at the undergraduate level, only 2.9% of their thesis advisors have made high impact scientific production and in turn have been qualified as Renacyt teachers. There is evidence of the lack of concern of the accounting faculties of the main universities in Peru with respect to the key people in the training process of the accounting professional. This is the position of the thesis advisor who lacks high impact scientific production and his lack of qualification as a Renacyt Professor.

A comparative study of research questions written by L1 English authors and Chinese EFL scholars

Research questions (RQs) function as an important basis for entire research projects, but scant attention has been paid to their formulation. The current study compares the types and structures of RQs and inter-step shifts involving RQs in English research articles (RAs) written by L1 English authors and Chinese EFL scholars. Our data consisted of 300 English RAs from highly ranked journals in the field of applied linguistics, comprising 150 articles by L1 English authors and 150 articles by Chinese EFL scholars. The findings reveal that RQ types are used by both author groups in the following decreasing order: descriptive questions > contingent questions > comparative questions > explanatory questions > normative questions. Both Chinese and L1 English writers exhibit sophisticated competence in constructing RQs in appropriate hierarchical orders, characterized by patterns of parallel structure, progressive structure, and parallel-progressive structure. However, English L1 scholars outperform their Chinese counterparts in the use of inter-step shifts that integrate RQs into a broader text. Our findings can help writers understand the internal logic of RQs, guide them to formulate hierarchically appropriate RQs and integrate them into the entire research context.

Auditor-Client Negotiation in Non-Financial Reporting Assurance Missions

This paper seeks to present the auditor-client negotiation process from non-financial assurance perspective, as to understand those factors that determine the way auditors conduct negotiations. For this, the authors analyzed a series of articles and publications extracted from Web of Science (WOS) or other research databases. These were selected based on their research topic, that focused mainly on auditor-client negotiation, assurance mission, and non-financial reporting. Further, the paper investigates most relevant research publications starting from year 2000 until present (from citations and journal ranking point of view) with the purpose of identifying those factors influencing the negotiation process when auditing non-financial information. In addition, this qualitative research represents a literature review synthesis of most relevant articles.

Unveiling the Landscape of Big Data Analytics in Healthcare: A Comprehensive Bibliometric Analysis

In the rapidly evolving landscape of healthcare, the digital transformation marked by healthcare 4.0 has spurred a surge in data generation, giving rise to ‘big data’. Big data analytics has become an effective tool in the healthcare industry, revolutionising medical research, patient care, and healthcare management. This study undertakes a meticulous bibliometric analysis, drawing upon a dataset of 2212 articles from the Scopus database spanning 2014 to 2023, to unravel the trajectory of big data analytics in healthcare. The research explores diverse dimensions, from the distribution of studies across years to the productivity rankings of journals, countries, and institutions, elucidating the evolving trends and key contributors. Co-authorship networks and keyword co-occurrence analysis reveal thematic clusters and intellectual structures, contributing to a nuanced understanding of the field. The results underscore the escalating global interest in the fusion of big data and healthcare, illuminating collaborations, and identifying influential players. Additionally, the study identifies pressing challenges, including security concerns and skill shortages, emphasizing the imperative of overcoming these barriers for effective big data applications in healthcare. Serving as a valuable resource for researchers, practitioners, and policymakers, this research not only captures the current landscape but also provides insights for future exploration, contributing to strategic planning in this dynamic domain.

Female representation on editorial boards of leading ophthalmology journals

PurposeTo assess the gender distribution of editorial board members of the leading ophthalmology journals according to SCImago Journal and Country Rank (SJR). MethodsTo evaluate the editorial boards of the ophthalmological journals in category Q1 of the SJR in a cross-sectional study. The primary outcome measured was the proportion of women as editor-in-chief and editorial board members. For the top 10 journals, the internal composition of the editorial board was analyzed and classified into four categories. The study was performed in Oftalmosalud Instituto de Ojos, Lima, Peru, from July to October 2022. In addition, the authors analyzed the women’s participation in previous years as editorial board members. ResultsThirty-two ophthalmology journals were classified within the Q1 category. Female representation as editor-in-chief of Q1 ophthalmology journals was 14.63% (6/41) and as part of the editorial board was 32.9% (122/371). In the top 10 ophthalmology journals, none of the editors-in-chief (Category I) was a woman (p < .001); 11% (11/100) in category II (p < .001), 38.42% (88/229) in Category III (p < .001), and 32.25% (10/31) in category IV (p = 0.07) were women. There was no significant correlation between the percentage of female representation and the SJR (r = 0.32, p = 0.07). ConclusionWomen are underrepresented among editorial board members of the leading ophthalmological journals and this disparity is greater in senior positions. However, there has been an increase in participation through the years.

From Scientific Journals to Newspapers in Spain: Interest in Disinformation (2000–2023)

As disinformation has become a topic of conversation in the media in recent years, the theory of agenda setting is once again making its presence known. The aim of this research is to verify the degree of interest in disinformation by the media (mainstream press) and in academic writing (scientific communication journals) according to frequency and whether or not such disinformation can be observed in the field of science. The primary research has been carried out through quantitative content analysis of three Spanish newspapers (El País, Abc, El Mundo) and 32 Spanish scientific communication journals included in the SJR-SCImago Journal Rank database from the year 2000 to 2023. The results were 732 units of analysis. From those, it can be concluded that once again, the pandemic represents a before and after. Firstly, a general increase in disinformation has been observed, as well as a corresponding rise in false information in certain fields of science, especially that of health. Secondly, a gradual increase in public interest in disinformation has also been detected, which indicates that the issue is on the agenda of both the media and citizens.

University rankings: Time to reconsider

University rankings offer some benefits but also come with significant drawbacks. While they can encourage healthy competition, they often lead to unethical practices and prioritize short- term gains over long-term educational purposes. Relying on biased metrics like citations and journal impact factors is a major flaw, potentially misrepresenting the true value of scholarly work. The foremost focus of universities should be on educating proficient students, advancing dependable knowledge, and addressing societal needs. Annual rankings based on one year's criteria and output prove impractical, as research outcomes and educational impact require more time to materialize. It is crucial to consider abandoning or reevaluating ranking systems to prevent biased, financially-driven approaches from causing harm. An internal assessment, gauging satisfaction levels within the university community and the quality of education provided, could offer a more effective approach to ranking universities. Acknowledging the negative impact of journal rankings took decades. It is imperative to avoid subjecting educational systems to similarly detrimental effects from university rankings. The most effective method for ranking universities is through an internal system that takes into account the satisfaction levels of university community members regarding their work conditions and overall institution, as well as whether students are acquiring the education and skills they seek.

Emotional Intelligence in Improving Academic Performance in College Students: A Systematic Review

The present investigation was carried out with the purpose of publicizing how emotional intelligence contributes to academic performance; posing as a research question: What is the impact of emotional intelligence in improving academic performance in university students in the last five years?; Due to this, the methodology used for this purpose was qualitative, basic and a review of articles published in the SCOPUS and Web of Science databases; following a search protocol, collection, extraction, analysis and selection of articles under the eligibility criteria: academic publications with SJR (Scimago Journal Rank) impact indicators and publications in Spanish and English. For the analysis of the review, 79 articles were selected and after filtering, only 10 articles met the inclusion and exclusion criteria as part of the review. The results show that there is a limited number of publications that have specified emotional intelligence as a predictor of academic performance in university students.

Education journal rankings: a diversity-based Author Affiliation Index assessment methodology

Education journal rankings: a diversity-based Author Affiliation Index assessment methodology

Advanced Research in the Field of Jurisprudence: Age of the Subject of Cognitive Activity

Introduction. The coordinated work of the workforce as a social group in which knowledge and skills are passed on between generations directly depends on the harmonious combination of the ages of its participants. Taking into account the seriousness of the efforts made by the Russian state to preserve the personnel potential of scientific and educational organizations and create a system of incentives for young researchers, an analysis of the average age of authors who published their works on jurisprudence in journals at the top of the SCIENCE INDEX 2022 ranking is carried out. The purpose of the work is to establish patterns characterizing the age composition of authors of leading legal journals and the factors influencing this composition. The objectives of the study are: establishing the average age of authors of leading legal journals, comparing it with the ages of authors of journals in other sciences, identifying factors influencing the age of authors that can be taken into account when developing a set of measures aimed at maintaining Russian science. Methods. The work uses statistical methods, comparative method, formal logical methods. Results. The collected data on the average age of authors of journals in the social and humanities, as well as natural and technical sciences, is presented. The age of authors of works in natural and technical disciplines is, as a rule, higher than the average age of authors in social sciences and humanities. The average age of authors of legal sciences is one of the lowest among the social sciences and humanities, which can be explained by the high dynamism of modern legislation and the specificity of the subject (national law), which reduces the mobility of a scientist. Discussion and Conclusion. The age of the scientist, the merits associated with him and his position in the social hierarchy influence the ability to publish research results in the most prestigious legal journals, however, this pattern ceases to be observed when comparing the average age of authors in the middle and end of the ranking of legal journals.

Policy Strategies for Public–Private Partnership on Broadband Infrastructure: A Systematic Literature Review

Abstract This study aims to analyze the development of research themes in the public–private partnership (PPP) project policy strategy for broadband infrastructure from 2000 to 2021 and identify the most popular research topics. Systematic literature review (SLR) of 927 Google Scholar and Scopus publications, followed by bibliometric analysis, co-occurrence keywords, and in-depth qualitative approaches with content analysis, was performed. Articles are classified based on the source of publication, year of publication, country of origin, journal ranking, and research theme. This study finds that previous studies discussed the development of policy strategies and regulatory theory. Most articles were published in journals indexed under Q1, while only one was published under Q4. This study highlights the importance of government initiatives in developing broadband infrastructure through PPPs. The findings show that the policy strategy, legal framework, and regulations influence the success of PPP schemes. Private sector involvement can reduce costs and provide access to resources and expertise the public sector may still need to gain. This study suggests that policymakers encourage the participation of the private sector in broadband infrastructure projects and provide incentives for them, such as public funding. This study benefits governments or policymakers who intend to implement the PPP scheme to deliver public services.

Assessing journals through a three-dimensional framework based on article citation, author and institution influence

Journal assessment is of great significance to promote the development of academic platforms. Citation analysis is a recognised tool to assess the citation performance of journals. However, due to the shortcomings such as the inflated Journal Impact Factor and heterogeneity of the citations, additional dimensions are necessary to be considered to balance with the article citation. This article constructs a three-dimensional journal assessment framework to measure the comprehensive influence of a journal based on article citation, author and institution influence. The CRITIC-Entropy weighting method is employed to calculate the weighted average scores for the three dimensions, respectively. Then, a newly defined Pareto-dominated set-based sum of TOPSIS score (PDS-based STS) approach is developed to assess the comprehensive influence of journals. A sample of 76 journals in Economics field is selected to demonstrate the effectiveness and validity of the proposed assessment method. The Chartered Association of Business Schools’ Academic Journal Guide 2021 (CABS-AJG 2021) which is an expert-based journal rating is chosen as a baseline model. It has been found that the assessment method using PDS-based STS shows a more rational journal ranking than that based on the Journal Impact Factor if using the CABS-AJG 2021’s ratings as the benchmark model.

Performance Analysis of Random Forest on Quartile Classification Journal

Journals play a pivotal role in disseminating scientific knowledge, housing a multitude of valuable research articles. In this digital age, the evaluation of journals and their quality is essential. The SCImago Journal Rank (SJR) stands as one of the prominent platforms for ranking journals, categorizing them into five index classes: Q1, Q2, Q3, Q4, and NQ. Determining these index classes often relies on classification methodologies. This research, drawing inspiration from the Cross-Industry Standard Process for Data Mining (CRISP-DM), seeks to employ the Random Forest method to classify journals, thus contributing to the refinement of journal ranking processes. Random Forest stands out as a robust choice due to its remarkable ability to mitigate overfitting, a common challenge in machine learning classification tasks. In the context of approximating SJR index classes, Random Forest, when utilizing the Gini index, exhibits promise, albeit with an initial accuracy rate of 62.12%. The Gini index, an impurity measure, enables Random Forest to make informed decisions while classifying journals into their respective SJR index classes. However, it is worth noting that this accuracy rate represents a starting point, and further refinement and feature engineering may enhance the model's performance. This research underscores the significance of machine learning techniques in the domain of journal classification and journal-ranking systems. By harnessing the power of Random Forest, this study aims to facilitate more accurate and efficient categorization of journals, thereby aiding researchers, academics, and institutions in identifying and accessing high-quality scientific literature.

The transparency of quantitative empirical legal research published in highly ranked law journals (2018–2020): an observational study

Background Scientists are increasingly concerned with making their work easy to verify and build upon. Associated practices include sharing data, materials, and analytic scripts, and preregistering protocols. This shift towards increased transparency and rigor has been referred to as a “credibility revolution.” The credibility of empirical legal research has been questioned in the past due to its distinctive peer review system and because the legal background of its researchers means that many often are not trained in study design or statistics. Still, there has been no systematic study of transparency and credibility-related characteristics of published empirical legal research. Methods To fill this gap and provide an estimate of current practices that can be tracked as the field evolves, we assessed 300 empirical articles from highly ranked law journals including both faculty-edited journals and student-edited journals. Results We found high levels of article accessibility (86%, 95% CI = [82%, 90%]), especially among student-edited journals (100%). Few articles stated that a study’s data are available (19%, 95% CI = [15%, 23%]). Statements of preregistration (3%, 95% CI = [1%, 5%]) and availability of analytic scripts (6%, 95% CI = [4%, 9%]) were very uncommon. (i.e., they collected new data using the study’s reported methods, but found results inconsistent or not as strong as the original). Conclusion We suggest that empirical legal researchers and the journals that publish their work cultivate norms and practices to encourage research credibility. Our estimates may be revisited to track the field’s progress in the coming years.

The application of machine learning to study fraud in the accounting literature

PurposeThis study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.Design/methodology/approachThis paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.FindingsThe storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.Originality/valueThis paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.

Science at risk? Considering the importance of academic freedom for STEM research production across 17 OECD countries.

Since 2011, a declining trend in academic freedom globally has paralleled a rising tide of neo-nationalism. We use fixed effects models to examine data from the Varieties of Democracy (V-DEM) academic freedom index and bibliometric data for 17 OECD countries across nearly three decades (1981-2007) that precede the recent decline in academic freedom. We find substantial, statistically significant, positive relationships between cross-nationally comparable and longitudinal measures of academic freedom and volume of STEM publications. Additionally, academic freedom positively influenced the quality of STEM publications as measured by journal rankings. Our findings were relatively consistent across various measures of academic freedom and model specifications. We discuss implications for safeguarding academic freedom, applying neo-institutional theory, and identifying directions for future research.

A Surgical Collaborative to Empower Medical Student Research.

Mini abstracts: Faculty at the Baylor College of Medicine have developed a flexible research collaborative through which students gain research skills and individualized mentorship. This division has produced 86 trainee first author publications, 64 manuscripts by 34 different medical students with an average Scimago Journal Rank of 1.293 (range: 1.035-1.551) since 2015.

Trends in PubMed-Indexed Research in Matched Urology Applicants: A Cross-Sectional Analysis of the 2017 to 2021 Match Cycles

Purpose: Urology is one of the most competitive specialties for residency matches in the United States. Data reported by the American Urological Association from match cycles spanning 2014 to 2021 reveal a median of 0.34% (0%-3%) of unfilled spots, a median of 1.48 (1.28-1.87) applicants per position, and a median of 75% (63%-87%) match rate. Recent research has shown that program directors value applicants' research highly. We sought to assess the research productivity of matched urology residency applicants, identify trends in research volume over time, and investigate the potential correlation between research output and program ranking. Materials and Methods: Doximity Urology program ranking list from the 2017 to 2021 match cycles was sorted by reputation, extracted, and populated using each program's official website resident roster, including name, medical school, postgraduate year, and additional degrees. Rosters were crossed-checked against social media posts from the official accounts. Each identified urology resident was queried in PubMed. Journal ranking was determined through Scimagojr; top-quartile journals were classified as Q1. Results: In total 131 of 145 programs were identified, and 1605 matched applicants spanning the 2017 to 2021 match cycles. The mean and median total publications were 2.44 and 1, respectively, and 2.17 and 1 when excluding case reports. 64.2% of applicants had at least one publication, and 42.2% had at least one urological publication. Applicants matching into higher-ranked programs had more research and urological research. Multivariable regression analysis revealed that Q1 research (β 2.38) and urology research (β 2.33) significantly affected rank. Match cycle analysis revealed an increase in total and urology-focused research, whereas regression analysis demonstrated significant increases in total publications (β 0.019) per cycle. Conclusion: Overall research, urology-focused research, first authorship, and publication in higher-ranked journals play an essential role in the urology match.

Research Output inOrthopaedics and Sports Medicine from Nigeria and Africa - A Bibliometric Analysis.

Nigeria has a relatively large scientific community that produces an adequate research output among African countries. Not many studies have analysed the research output in orthopaedics and sports medicine from Nigeria and Africa. Hence, we aimed to analyze the research output in orthopaedics and sports medicine from Nigeria and Africa. We used the SCOPUS data from the Scimago Journal & Country Rank website. It allows us to draw various journal metrics for research. Between 1996 and 2022, Nigerian research publications in orthopaedics and sports medicine had grown from 4 in 1996 to 39 in 2022 (a 10-fold growth) but overall is 62nd in the world representing 0.07% of publications in the period. In the same period, Africa published 8297 papers in orthopaedics and sports medicine representing only 1.24% of the global publications in this field. There is low research output in Orthopaedics and Sports Medicine from Nigeria and, the whole African continent. However, there has been a growth in the publications from Africa.