Citation Ranking Research Articles

Teaching and Learning Optics: A Bibliometric Analysis with a Detailed Future Insight Overview

Optics research has recently proven important for scientific, educational, and industrial applications. This study examines the increase and distribution of literature on learning and teaching optics. This analytical strategy uses quantitative and statistical methods to identify trends, evaluate quality, and monitor progress. From the 530 documents obtained using the Scopus database between 1944 and 2023, 464 were chosen. With a total of 49 documents, 2014 had the greatest substantial increase in the number of documents since 1944 till this data was collected. Writers from the United States contributed to 115 documents with 36% citations. They ranked first, followed by authors from Germany (37 documents and 12% citations) and China (36 documents), with citation rankings just below the top 10. Most publications appeared in Physics Education (15 documents; Q2 SJR 0.41). The International Journal of Science Education received the most citations for publications on teaching and learning optics (159 citations; Q1 SJR 1.15) and was ranked 1 in its category. The current core literature on teaching and learning optics shows that this area is quickly evolving but with insufficient international research collaboration. Research collaboration in this field must be strengthened to improve the worldwide response to teaching and learning optics. There is a need to broaden the scope of study regarding assessment instruments, technological engineering, learning approaches, learning methods, learning strategies, and learning media within the context of teaching and learning optics from elementary school to the university level.

Research Trends in Artificial Intelligence and Security—Bibliometric Analysis

This paper provides a bibliometric analysis of current research trends in the field of artificial intelligence (AI), focusing on key topics such as deep learning, machine learning, and security in AI. Through the lens of bibliometric analysis, we explore publications published from 2020 to 2024, using primary data from the Clarivate Analytics Web of Science Core Collection. The analysis includes the distribution of studies by year, the number of studies and citation rankings in journals, and the identification of leading countries, institutions, and authors in the field of AI research. Additionally, we investigate the distribution of studies by Web of Science categories, authors, affiliations, publication years, countries/regions, publishers, research areas, and citations per year. Key findings indicate a continued growth of interest in topics such as deep learning, machine learning, and security in AI over the past few years. We also identify leading countries and institutions active in researching this area. Awareness of data security is essential for the responsible application of AI technologies. Robust security frameworks are important to mitigate risks associated with AI integration into critical infrastructure such as healthcare and finance. Ensuring the integrity and confidentiality of data managed by AI systems is not only a technical challenge but also a societal necessity, demanding interdisciplinary collaboration and policy development. This analysis provides a deeper understanding of the current state of research in the field of AI and identifies key areas for further research and innovation. Furthermore, these findings may be valuable to practitioners and decision-makers seeking to understand current trends and innovations in AI to enhance their business processes and practices.

Glycosylation in autoimmune diseases: A bibliometric and visualization study

An increasing amount of research has shown that glycosylation plays a crucial role in autoimmune diseases (ADs), prompting our interest in conducting research on the knowledge framework and hot topics in this field based on bibliometric analysis. Studies on glycosylation in the field of ADs from 2003 to 2023 were collected by searching the Web of Science Core Collection database. Bibliometric analysis was conducted using VOSviewer, CiteSpace, and Bibliometrix software. This study included a total of 530 studies. According to the H, G, and M indices, the United States has made the most contributions worldwide, with China making significant contributions in recent years. Leiden University from the Netherlands ranks among the top institutions in terms of publication and citation rankings, with the institution's author Manfred Wuhrer contributing the most to this field. Frontiers in Immunology is the journal with the highest H-index. Research in this field has focused on antibody glycosylation, particularly the specific glycosylation of IgG and IgA, and its role in various ADs. The application of glycoengineering glycosylated proteins in the synthesis of targeted monoclonal antibodies, drug delivery, and regenerative medical materials may be a new trend in the treatment of ADs. Artificial intelligence is an emerging tool in glycobiology. This study summarizes the objective data on glycosylation in the field of AD publications in recent years, providing a reference for researchers in this field.

A statistical approach to law school citation rankings

AbstractCitation rankings have emerged as a popular approach to ranking the scholarly impact of law faculties. This paper develops a statistical approach for inferring faculty quality from citation counts and determining when differences among law schools are significant. Statistical tests demonstrate that the distribution of citations within faculties closely follows the lognormal distribution, subject to small adjustments. This suggests a simple test for comparing faculties: whether they could be drawn from lognormal distributions with the same log mean. Under this approach, the geometric mean of citations is the most efficient measure for summarizing faculty quality. Using citation data collected from HeinOnline, this article provides a citation ranking for 195 law schools in the United States. Most differences between peer schools are statistically insignificant, and confidence intervals on citation ranks are extremely wide. Except for the highest‐ranked faculties, citation rankings provide little information on the relative quality of faculties.

The 100 top-cited articles in menopausal syndrome: a bibliometric analysis

BackgroundSignificant scientific research has been conducted concerning menopausal syndrome(MPS), yet few bibliometric analyses have been performed. Our aim was to recognise the 100 most highly cited published articles on MPS and to analytically evaluate their key features.MethodsTo identify the 100 most frequently cited articles, a search was conducted on Web of Science using the term 'menopausal syndrome'. Articles that matched the predetermined criteria were scrutinised to obtain the following data: citation ranking, year of publication, publishing journal, journal impact factor, country of origin, academic institution, authors, study type, and keywords.ResultsThe publication period is from January 1, 2000, to August 31, 2022. The maximum number of citations was 406 and in 2012. The median citations per year was 39.70. Most of the articles focused on treatment and complications. These articles were published in 36 different journals, with the Journal of MENOPAUSE having published the greatest number (14%). Forty-eight articles (48%) were from the United States, with the University of Pittsburgh being the leading institute (9%). Joann E. Manson was the most frequent first author (n = 6). Observational studies were the most frequently conducted research type (n = 53), followed by experimental studies (n = 33). Keyword analysis identified classic research topics, including genitourinary syndrome of menopause, bone mineral density (BMD), and anti-mullerian hormone (AMH) loci.ConclusionUsing bibliometrics, we conducted an analysis to identify the inadequacies, traditional focal points, and potential prospects in the study of MPS across current scientific areas. Treatment and complications are at the core of MPS research, whereas prediction and biomarkers have less literature of high quality. There is a necessity for innovative analytical metrics to measure the real effect of these papers with a high level of citation on clinical application.

Global trends in the clinical utilization of exosomes in dermatology: a bibliometric analysis.

The arena of exosomal research presents substantial emerging prospects for clinical dermatology applications. This investigation conducts a thorough analysis of the contemporary global research landscape regarding exosomes and their implications for dermatological applications over the preceding decade. Employing bibliometric methodologies, this study meticulously dissects the knowledge framework and identifies dynamic trends within this specialized field. Contemporary scholarly literature spanning the last decade was sourced from the Web of Science Core Collection (WoSCC) database. Subsequent to retrieval, both quantitative and visual analyses of the pertinent publications were performed utilizing the analytical software tools VOSviewer and Citespace. A comprehensive retrieval yielded 545 scholarly articles dated from January 1, 2014, to December 31, 2023. Leading the research forefront are institutions such as Shanghai Jiao Tong University, The Fourth Military Medical University, and Sun Yat-sen University. The most prolific contributors on a national scale are China, the United States, and South Korea. Among the authors, Zhang Bin, Zhang Wei, and Zhang Yan emerge as the most published, with Zhang Bin also achieving the distinction of being the most cited. The International Journal of Molecular Sciences leads in article publications, whereas Stem Cell Research & Therapy holds the pinnacle in citation rankings. Theranostics boasts the highest impact factor among the periodicals. Current research hotspots in this area include Adipose mesenchymal stem cell-derived exosomes(ADSC-Exos), diabetic skin wounds, cutaneous angiogenesis, and the combination of biomaterials and exosomes. This manuscript constitutes the inaugural comprehensive bibliometric analysis that delineates the prevailing research trends and advancements in the clinical application of exosomes in dermatology. These analyses illuminate the contemporary research focal points and trajectories, providing invaluable insights that will inform further exploration within this domain.

An Exploration of the Four‐Decade‐Long History of Photocatalytic Water Treatment: Analysis of Key Advancements, Underlying Relationships, and Failures along the Way

This study explores the decade‐long history of photocatalytic water treatment using a novel integration of the Delphi method and the preferred reporting items for systematic reviews and meta‐analyses approach, along with bibliometric analysis, to examine publication trends, author and country coauthorship networks, keyword co‐occurrence, citation analysis, and catalyst/contaminant evolution over time. The key findings include a steady increase in annual publications, a shift in dominant disciplines toward Environmental Sciences and Chemical Engineering, the role of specific authors in country productivity and citation rankings, and a growing need for international collaboration. TiO2‐ and TiO2‐based materials remain dominant, but a clear trend of abandonment in favor of novel materials is observed. Solar light is gaining importance for the photocatalytic elimination of aquatic pollutants, shifting simple organic compounds to priority substances. The evolution of this field is highlighted by tracing advancements in catalyst diversity and complexity, process optimization, and intensification. However, despite important milestone achievements, persistent knowledge gaps, discrepancies in comparability among studies, a lack of understanding of the fundamentals, and low funding incentives for transitioning to market hinder large‐scale applications. This study aims to provide a comprehensive guide for researchers by summarizing previous findings, unsuccessful approaches, and possibilities for improving photocatalytic applications.

Quantifying research publication efficiency: A comparative analysis of the HY-index and the h-index

Efficiently quantifying the scholarly output of researchers, scientists, academic institutions, departments, and universities is of paramount importance within academic circles. This study centers on the application of a novel index known as the HY-Index, designed to evaluate the quality of articles from various sources, with the primary aim of addressing the limitations associated with established indices, notably the widely-used h-index. We deploy the HY-Index alongside the h-index to assess the performance of the top fifty researchers affiliated with Umm Al-Qura University, using data from the Google Scholar database. Comparative analyses are conducted, and rankings based on the HY-Index and h-index are scrutinized to determine which index offers a more suitable approach for quantifying researcher efficiency. Our findings reveal that the linear trend equation of the HY-Index rank closely aligns with the linear trend equation of the citation rank, surpassing the alignment observed with the h-index rank. Additionally, the linear trend equation of the HY-Index rank exhibits greater similarity to the linear trend equation of the publications rank compared to the h-index rank. Consequently, the HY-Index provides a more precise means of assessing author quality based on both citation and publication rankings, offering a fairer measurement of author quality compared to the h-index.

The impact of heterogeneous shared leadership in scientific teams

Leadership is evolving dynamically from an individual endeavor to shared efforts. This paper aims to advance our understanding of shared leadership in scientific teams. We define three kinds of leaders, junior (10–15), mid (15–20), and senior (20+) based on career age. By considering the combinations of any two leaders, we distinguish shared leadership as “heterogeneous” when leaders are in different age cohorts and “homogeneous” when leaders are in the same age cohort. Drawing on 1,845,351 CS, 254,039 Sociology, and 193,338 Business teams with two leaders in the OpenAlex dataset, we identify that heterogeneous shared leadership brings higher citation impact for teams than homogeneous shared leadership. Specifically, when junior leaders are paired with senior leaders, it significantly increases team citation ranking by 1–2 %, in comparison with two leaders of similar age. We explore the patterns between homogeneous leaders and heterogeneous leaders from team scale, expertise composition, and knowledge recency perspectives. Compared with homogeneous leaders, heterogeneous leaders are more impactful in large teams, have more diverse expertise, and trace both the newest and oldest references.

Identifying Core Journals in Otolaryngology: A Bibliometric Analysis.

As research in otolaryngology continues to expand rapidly, it is important to identify core journals to keep clinicians updated with the latest advances. This study is the first to characterize core journals in otolaryngology. Using h-index and impact factor (IF), the top 15 NLM-indexed otolaryngology journals were selected for analysis. The references from all articles published in these journals in one randomized quarter were compiled into a citation rank list, with the most cited journal ranked the highest. Citation zonal distribution analysis was conducted to identify the zonal distribution of otolaryngology journals. A total of 3150 journals containing 26876 articles were cited in otolaryngology literature in April-June 2019. Laryngoscope was the most cited journal containing 1762 citations. IF is significantly associated with the h-index for the top 10 otolaryngology journals (p = 0.032). Three core journal zones were identified, with Zone 1 containing 8 journals, Zone 2 containing 36 journals, and Zone 3 containing 189 journals. A linear relationship between the log journal rank for Zones 1-3 and a cumulative number of citations was found (R2 = 0.9948). Eight core journals for otolaryngology were identified: Laryngoscope, Otolaryngology-Head and Neck Surgery, Otology & Neurotology, JAMA Otolaryngology-Head & Neck Surgery, Head & Neck, European Archives of Oto-Rhino-Laryngology, International Journal of Pediatric Otorhinolaryngology, Annals of Otology, Rhinology & Laryngology. In the face of rapidly evolving research and a multitude of journals, the high citation density within these core journals highlights their utility in updating busy clinicians. NA Laryngoscope, 133:3346-3352, 2023.

A Bibliometric Analysis of Research Articles on Midwifery Based on the Web of Science.

This study aimed to bibliometrically analyse the main features of the 100 top-cited articles on the midwifery index on the Web of Science. Academic articles on midwifery' research published from 1985 to 2020 were included. VOSviewer 1.6.15, SPSS 22.0 software and a homemade applet were used to identify, analyse and visualise the citation ranking, publication year, journal, country and organisation of origin, authorship, journal impact factor and keywords along with the total link strength of countries, organisations and keywords. Among the 100 top-cited articles, the highest number of citations of the retrieved articles was 484. The median number of citations per year was 5.16 (interquartile range: 3.74-8.38). Almost two-thirds of the included articles (n = 61) centred on nursing and obstetrics/gynaecology. The top-cited articles were published in 38 different journals, the highest number of which was published by Midwifery (15%). Australia was the most productive country (24%). According to the total link strength, the sequence ran from the United States (28) to England (28) to Australia (19). The University of Technology Sydney and La Trobe University in Australia topped the list with four papers each. Hunter B was the most productive author (n = 4), and the average citations were positively related to the number of authors (r = 0.336, p < 0.05). This study identified the most influential articles on midwifery and documented the core journals and the most productive countries, organisations and authors along with future research hotspots for this field; the findings may be beneficial to researchers in their publication and scientific cooperation endeavours.

Zastosowanie narzędzi laboratorium tekstowego programu MAXQDA na przykładzie analizy porównawczej polskich i zagranicznych raportów badawczych

Digitization of textual data is now commonplace in many areas of society, and the development of digital techniques is fostering the emergence of new tools used by researchers. The article addresses the issue of the application of computer-assisted analysis of textual data in the procedure of qualitative research from the perspective of its user. Due to the wide scope of the issue being addressed, the question being considered is the applicability of working with a selected program from the CAQDAS family - VERBI Software's MaxQda program. The first part of the article recalls milestones in the development of digital tools that researchers can use to analyse textual data. Next, the metaphor of a "text lab" is explained, describing how to work with the MaxQda program during data reduction and representation. The next section presents the results of a comparative analysis of secondary sources, using data from three sources: Herzing's Publish or Perish citation ranking, ProQuest databases, and the Biblioteka Nauki platform. The corpus of data consisted of research reports in which the authors declared that they used the MaxQda program. The analysis made it possible to identify the program's capabilities on which the authors of the reports focus, as well as the scientific fields that the authors represent. The conclusion reflects on the contribution of modern technology to the development of qualitative data analysis, and provides examples of the dilemmas that a researcher may face during the next stages of computer-assisted analytical work, using their own analytical practice as an example.

Recent Trends and Hotspots in Hip Arthroplasty: A Bibliometric Analysis and Visualization Study of Last Five-Year Publications.

Bibliometric analysis is one of the most prevalent methods for analyzing and predicting research trends of particular subjects. Through a bibliometric analysis, the present study sought to look into and depict the hotspots and research trends in hip arthroplasty research over the previous five years. The Web of Science Core Collection database was used to find studies on hip arthroplasty published between 2018 and 2022. The VOS viewer, Cite Space, and Bibliometrix were used to carry out the bibliometric study and network visualization. During the last five years, 5,708 hip arthroplasty publications were cited 40,765 times. The United States and the Journal of Arthroplasty were the top countries and journals regarding the number of studies, respectively. The top 10 global high-impact documents were determined using the citation ranking and citation burst. The most frequently referenced research revealed the epidemiological aspects of hip arthroplasty, perioperative care after hip arthroplasty, COVID-19, periprosthetic joint infections, opioid medicines, stability, and osteonecrosis were the hot topics in hip arthroplasty research. Keyword burst analysis showed that the research trends in hip arthroplasty through 2022 were patient-reported outcome measures (PROM), depression, racial disparity, and artificial intelligence (AI). The analysis of the subject areas revealed the close connections and relationships between different subject areas, as demonstrated by the figures. The hip arthroplasty research community is very productive and highly centralized. Periprosthetic joint infection, dual-mobility cups, spinopelvic mobility, direct anterior approach, outpatient total hip arthroplasty, polyethylene, periprosthetic fracture, acetabular defects, tranexamic acid, developmental dysplasia of the hip, and safety-net hospitals were recent trends in hip arthroplasty research. Patient-reported outcome measures, depression, racial disparities, and AI were research hotspots in hip arthroplasty.

Recent Trends and Hotspots in Knee Arthroplasty: A Bibliometric Analysis and Visualization Study of the Last Five-Year Publications.

Bibliometric analysis is one of the most prevalent methods for analyzing and predicting the research trends of particular subjects. Through a bibliometric analysis, this study sought to look into and depict the hotspots and research trends in knee arthroplasty research over the previous five years. The Web of Science Core Collection database was used to find research articles on knee arthroplasty published between 2018 and 2022. The VOS viewer, Cite Space, and Bibliometrix were used to carry out the bibliometric study and network visualization. During the previous five years, 7,422 included knee arthroplasty publications were cited 57,087 times. The United States and the Journal of Arthroplasty were the top countries and journals regarding the number of articles. The top 10 global high-impact documents were determined using the citation ranking and citation burst. The most frequently referenced article revealed that the epidemiological characteristics of knee arthroplasty, perioperative care in knee arthroplasty, prosthetic joint infections, and opioid medications were the hot topics in knee arthroplasty research. Keyword burst analysis showed that the research trends in knee arthroplasty through 2022 were racial disparity, limb alignment, tibial slope, and meniscectomy. The analysis of the subject areas revealed the close connections and relationships between different subject areas, as demonstrated by the figures. The knee arthroplasty research community is highly productive and centralized. Recent hotspots in knee arthroplasty research were unicompartmental knee arthroplasty, periprosthetic joint infection, kinematic alignment, outpatient total knee arthroplasty (TKA), bariatric surgery, payment model, tranexamic acid, Robotic-Assisted TKA, patient-reported outcome measures, metaphyseal cone, opioid use, and patient-specific instrumentation. Research trends in knee arthroplasty research were racial disparity, limb alignment, tibial slope, and meniscectomy.

Uncertainty in Law School Citation Rankings

Uncertainty in Law School Citation Rankings

Early Identification of Significant Patents Using Heterogeneous Applicant-Citation Networks Based on the Chinese Green Patent Data

With the deterioration of the environment and the acceleration of resource consumption, green patent innovation focusing on environmental protection fields has become a research hot-spot around the world. Previous researchers constructed homogeneous information networks to analyze the influence of patents based on citation ranking algorithms. However, a patent information network is a complex network containing multiple pieces of information (e.g., citation, applicant, inventor), and the use of a single information network will result in incomplete information or information loss, and the obtained results are biased. In addition, scholars constructed centrality indicators to assess the importance of patents with less consideration of the age bias problem of algorithms and models, and the results obtained are inaccurate. In this paper, based on the Chinese green patent (CNGP) dataset from 1985 to 2020, a CNGP heterogeneous applicant-citation network is constructed, and the rescaling method and normalization procedure are used to solve the age bias. The results illustrate that the method proposed in this paper is able to identify significant patents earlier, and the performance of the rescaled indegree (R_ID) works best such as the IR score is 17.32% in the top 5% of the rankings, and it is the best in the constructed dynamic heterogeneous networks as well. In addition, the constructed heterogeneous information network has better results compared with the traditional homogeneous information network, such as the NIR score of R_ID metrics can be improved by 2% under the same condition. Therefore, the analysis method proposed in this paper can reasonably evaluate the quality of patents and identify significant patents earlier, thus providing a new method for scientists to measure the quality of patents.

Proposal of a Selection Protocol for Replication of Studies in Sports and Exercise Science

IntroductionTo improve the rigor of science, experimental evidence for scientific claims ideally needs to be replicated repeatedly with comparable analyses and new data to increase the collective confidence in the veracity of those claims. Large replication projects in psychology and cancer biology have evaluated the replicability of their fields but no collaborative effort has been undertaken in sports and exercise science. We propose to undertake such an effort here. As this is the first large replication project in this field, there is no agreed-upon protocol for selecting studies to replicate. Criticism of previous selection protocols include claims they were non-randomised and non-representative. Any selection protocol in sports and exercise science must be representative to provide an accurate estimate of replicability of the field. Our aim is to produce a protocol for selecting studies to replicate for inclusion in a large replication project in sports and exercise science.MethodsThe proposed selection protocol uses multiple inclusion and exclusion criteria for replication study selection, including: the year of publication and citation rankings, research disciplines, study types, the research question and key dependent variable, study methods and feasibility. Studies selected for replication will be stratified into pools based on instrumentation and expertise required, and will then be allocated to volunteer laboratories for replication. Replication outcomes will be assessed using a multiple inferential strategy and descriptive information will be reported regarding the final number of included and excluded studies, and original author responses to requests for raw data.

Hotspots and trends in ophthalmology in recent 5 years: Bibliometric analysis in 2017-2021.

PurposeThe purpose of this study was to investigate the hotspots and research trends of ophthalmology research.MethodOphthalmology research literature published between 2017 and 2021 was obtained in the Web of Science Core Collection database. The bibliometric analysis and network visualization were performed with the VOSviewer and CiteSpace. Publication-related information, including publication volume, citation counts, countries, journals, keywords, subject categories, and publication time, was analyzed.ResultsA total of 10,469 included ophthalmology publications had been cited a total of 7,995 times during the past 5 years. The top countries and journals for the number of publications were the United States and the Ophthalmology. The top 25 global high-impact documents had been identified using the citation ranking. Keyword co-occurrence analysis showed that the hotspots in ophthalmology research were epidemiological characteristics and treatment modalities of ocular diseases, artificial intelligence and fundus imaging technology, COVID-19-related telemedicine, and screening and prevention of ocular diseases. Keyword burst analysis revealed that “neural network,” “pharmacokinetics,” “geographic atrophy,” “implementation,” “variability,” “adverse events,” “automated detection,” and “retinal images” were the research trends of research in the field of ophthalmology through 2021. The analysis of the subject categories demonstrated the close cooperation relationships that existed between different subject categories, and collaborations with non-ophthalmology-related subject categories were increasing over time in the field of ophthalmology research.ConclusionsThe hotspots in ophthalmology research were epidemiology, prevention, screening, and treatment of ocular diseases, as well as artificial intelligence and fundus imaging technology and telemedicine. Research trends in ophthalmology research were artificial intelligence, drug development, and fundus diseases. Knowledge from non-ophthalmology fields is likely to be more involved in ophthalmology research.

Expert judgments versus publication-based metrics: do the two methods produce identical results in measuring academic reputation?

PurposeThis study aims to assess the validity of citation metrics based on the disciplinary representative survey.Design/methodology/approachThe present project compared citation rankings for individual scientists with expert judgments collected through a survey of 818 Russian sociologists. The Russian Index of Science Citation was used to construct the general population of 3,689 Russian sociologists, to whom the survey was sent by email. The regression analyses of bibliometric indicators and peer review scores for 723 names of scholars mentioned in the survey have been undertaken.FindingsFindings suggest that scientometric indicators predict with significant accuracy the names of the most influential sociologists and those scholars who are not mentioned while they are less relevant for prediction names which received moderate attention in the survey.Originality/valueThis study contributes to the research on the validity of citation metrics by focusing on scientometric indicators, not limited to traditional metrics but including non-standard publication metrics and indicators of potential metric abuse. Besides, the study presents the national bibliometric data source that is especially important for non-Western higher education systems, less presented in the Web of Science or Scopus.

The literature/science boundary in sociological articles: Using fiction to discover patterns in co-authorship, author gender, and citation rank

Sociology has been described as a ‘third culture’ between science and literature. The distinctions between different orientations in sociological writing have been studied primarily through their non-textual manifestations (publication genres or venues, methodologies used, scientometric indicators, etc.). Our knowledge of how the science–literature boundary relates to the rhetorical composition of sociological texts therefore remains limited. We mixed a bespoke corpus of Czech sociological articles with a corpus of Czech short fiction to straightforwardly account for the relationship between sociology and literature. Unsupervised classification based on the distribution of most frequent verbs yielded two categories of sociological articles. Each cluster exhibited significant association with non-textual variables. Articles less similar to literature were associated with higher rates of co-authorship, citation counts, and number of women as first authors. Both clusters also displayed clear semantic differences. The signal from literary works increased variance in the textual feature space and subsequent pseudo-experimental validation confirmed its indispensability for the discovery of the association between the rhetorical pattern of verbs usage and non-textual variables related to sociological articles.