Scientometric Investigation Research Articles

Digital twins: A scientometric investigation into current progress and future directions

Digital twins: A scientometric investigation into current progress and future directions

The Influence of GLP1 on Body Weight and Glycemic Management in Patients with Diabetes-A Scientometric Investigation and Visualization Study.

Diabetes medications can affect weight and cardiovascular health. Some medications can aid in weight management, while others may lead to weight gain. Patients must be monitored and receive appropriate care to manage weight and prevent cardiovascular complications. Despite advancements in diabetes treatments that can influence weight and cardiovascular outcomes, ongoing research is necessary in this intricate field. Long-term effects, individual variations, and combination therapies are still subjects of uncertainty and ongoing investigation. The major objective of the research is to evaluate the impact of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) on body weight in diabetic patients through a scientometric assessment. Methodology: Research data were gathered from the Web of Science Core Collection (WoSCC) database by searching for the keywords "Body Weight", dulaglutide, and semaglutide, identifying 60 relevant articles in the field. While there are advantages in managing diseases in which the cardiovascular system is implicated, there are also clinical considerations for personalized medicine and shared decision-making. The scientometric analysis of the articles revealed important insights into how dulaglutide and semaglutide impact weight management and their potential benefits for managing cardiovascular diseases in individuals with diabetes. Conclusions: Semaglutide shows superior outcomes compared to other commercially available GLP-1RAs, particularly in improving blood sugar control, lowering body weight, and addressing other cardio-metabolic risk factors in individuals with type 2 diabetes (T2DM). The findings suggest that GLP-1 RAs have the potential to provide cardiovascular protection by influencing various physiological factors such as blood pressure, pulse rate, glycated hemoglobin (HbA1c) levels, and the urinary albumin-to-creatinine ratio (RAC). The development and validation of the 4GI model provides a sophisticated tool for evaluating the complex interactions involved in diabetes treatments, offering insights into the mechanisms of action of various medications.

Advancing Research on Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitors: A Scientometric Analysis.

Atherosclerosis is characterised by the accumulation of fatty deposits and plaque as a result of a continuously high level of low-density lipoprotein cholesterol (LDL-C) in the blood. The primary objective of this research is to assess the current status of knowledge, research endeavours and developmental trajectories about proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors in correlation with atherosclerosis treatment. Additionally, this study aims to compile bibliometric and scientometric investigations within this domain through rigorous scientometric analysis. Analysing the bibliometric landscape and global research trends associated with PCSK9 inhibitors can contribute valuable insights into comprehending atherosclerosis. This is exemplified by examining publications within the Web of Science Core Collection (WOSCC) database from 2008 to 2022. Citespace was used for frequency, co-occurrence, co-citation, grouping and burst analysis, and Microsoft Excel was used to manage descriptive datasets. Eight hundred eighty-five publications available from WOSCC database between the years 2008 and 2022 were extracted and examined. Over the period, 3,138 collaborating institutions from 87 countries, a staggering 7,750 writers involved and 325 distinct journals published about PCSK9 inhibitors studies. Among authors, Sabatine et al. and the journal The New England Journal of Medicine has had the most significant impact. Lipid-lowering therapy and bempedoic acid are the most prominent topical clusters associated with PCSK9 inhibitors, and the most often used keywords are efficacy, safety and PCSK9 inhibitors. We believe this is the first comprehensive analysis of PCSK9 inhibitors research and publications conducted using Scientometric. These results demonstrate the nascence of PCSK9 inhibitors research. They may encourage a wide range of stakeholders, particularly early career researchers from various disciplines, to work together in the future.

Physics informed quantum computing: A decade scientometric analysis

Quantum computing is an emergent computational technology having potential to solve complex computational problems. This revolutionary domain spurs intense exploration within the research community, necessitating a thorough examination to delineate scientific trajectories and glean research advancements. In this study, a scientometric investigation of quantum computing research limited to recent decade (2014-2023) is conducted sourced from the Scopus database. Analyses of publication patterns, top-cited articles, article co-citation, and author co-citation are performed to elucidate research trajectories. The results highlight that qubit quality control is a major focus of study, along with research in quantum cryptography, quantum neural networks, quantum annealing, and quantum-classical/classical-quantum algorithms.

Application of Artificial Intelligence in rehabilitation science: A scientometric investigation Utilizing Citespace

This study presents a scientometric analysis of the intersection between rehabilitation science and artificial intelligence (AI) technologies, using data from the Web of Science (WOS) database from 2002 to 2022. The analysis employed a comprehensive search query with key AI-related terms, focusing on a wide range of publications in rehabilitation science. Utilizing the Citespace tool, the study visualizes and quantifies the relationships between key terms, identifies research trends, and assesses the impact of AI technologies in rehabilitation science. Findings reveal a significant increase in AI-related research in this field, particularly from 2017 onwards, peaking in 2021. The United States has been a leading contributor, followed by countries like England, Australia, Germany, and Canada. Major institutional contributions come from Harvard University and the Pennsylvania Commonwealth System of Higher Education, among others. A keyword co-occurrence network constructed through Citespace identifies nine distinct hot topics and various research frontiers, highlighting evolving focus areas within the field. Burst analysis of keywords indicates a shift from performance and injury-related research to an increasing emphasis on AI and deep learning in recent years. The study also predicts the potential impact of papers, spotlighting works by Kunze KN and others as significantly influencing future research directions. Additionally, it examines the evolution of knowledge bases in AI-related rehabilitation science research, revealing a multidisciplinary core that includes neurology, rehabilitation, and ophthalmology, extending to complementary fields such as medicine and social sciences. This scientometric analysis provides a comprehensive overview of AI's application in rehabilitation science, offering insights into its evolution, impact, and emerging trends over the past two decades. The findings suggest strategic directions for future research, policy-making, and interdisciplinary collaboration in rehabilitation science and AI.

Analyzing the Evolution of Scholarly Contributions in Utilizing Library Services Within Academic Institutions: A Scientometric Investigation (1989–2022)

This study examined the publishing and citation patterns in research publications related to library services in academic institutions from 1989 to 2022 using 476 publications from the Web of Science Core Collection database. It reveals a rise in publications, peaking in 2021 (n = 29). The USA leads in publications, with Wuhan University (China) and author Peter Hernon being the most productive. Single-authored works dominate (n = 227), with the Journal of Academic Librarianship as the top publishing platform. Collaborations are most frequent between the USA, China, South Africa, the UK, and Australia. This study reveals growing research interest in library services, particularly within library and information science. Its originality pinpoints this field’s leading countries, institutions, authors, journals, and collaborative patterns.

A scientometric investigation on the impact of the PhyloCode proposal on the scientific literature.

In 2000, the first draft of PhyloCode was made public, an alternative naming code that does not follow Linnaean rankings and is based on the phylogenetic relationships of taxa in cladograms. In this study, the impact of the PhyloCode on scientific literature was analyzed from its first appearance in the literature to 2021. We investigated the areas that have most assimilated the proposal, the criticisms that have arisen over time, and whether there has been growing adherence to it up to the present day. The analyzed data were obtained from the Clarivate Analytics Web of Science database, where 121 articles that used or discussed the PhyloCode were found. Initially, there was an increase in publications, but in mid-2004, there was a downward trend, which was more noticeable after 2008. Results suggest that despite the criticisms, the proposal has been used in research in several areas, mainly in Zoology and Botany, as an alternative to the Linnaean ranking system. Most articles have been published in Systematics and Taxonomy and discuss the functionality of the proposed code. Despite the proposal's potential, its acceptance can be considered relatively low and it still generates discussions, just like any scientific novelty.

Research trends in vascular chips from 2012 to 2022: a bibliometrix and visualized analysis.

The vascular chip has emerged as a significant research tool, garnering increasing interest and exploration. We utilize bibliometric techniques to analyze literature from the Web of Science (WOS) database, focusing on core journal publications. The aim is to provide a systematic review and prospective outlook on research trends within the vascular chip field, delving into current dynamics and highlighting areas for further investigation. We retrieved articles, proceedings papers, and early-access publications related to vascular chips published between January 2012 and December 2022 reported by Web of Science Core Collection (WoSCC) in 2023. Scientific bibliometric analysis was performed using R-bibliometrix, CiteSpace, VOSviewer, and Microsoft Excel software tools. A total of 456 publications were obtained, including 444 articles, 11 proceedings papers, and one early-access article. These originated from 167 academic journals and 751 research institutions across 44 countries/regions. The United States contributed the majority of publications (41%), with Harvard University leading in contributions (6.6%). Lab on a Chip was the top journal in terms of publications. Notably, authors Jeon NL and Huh D wielded significant influence, with the former being the most prolific author and the latter garnering the most citations. Recent research has predominantly focused on angiogenesis in relation to endothelial cells. This scientometric investigation comprehensively surveys literature on vascular chips over past decade, providing valuable insights for scholars in the field. Our study reveals global increases in publications, with endothelial cells and angiogenesis being primary research focuses. This trend will persist, drawing continued attention from researchers.

Research hotspots and trends in the relationship between genetics and major depressive disorder: A scientometric analysis from 2003 to 2023.

To determine current research objectives and predict future trends in studies on the relationship between genetics and major depressive disorder (MDD). We collected the publications in the last 20 years (2003-2023) related to genetics and MDD in the Web of Science database, and applied Citespace to assess the knowledge mapping. The number of manuscripts about genetics and MDD totaled 9200, with a faster increase after 2013. The country, institution, and author with the most publications are the USA, the University of London, and Serretti, Alessandro. BIOL PSYCHIAT published the most articles in this field. In addition, the most co-cited reference is Sullivan PF (2000) (673). Genetic and MDD research, including the hippocampus, and HPA axis may become the focus of research in the future. Based on a 20-year scientometric investigation, we know the USA, China, and Germany have emerged as the important research forces in this discipline. The strongest collaborations between developed countries and renowned institutions are beneficial to the advancement of genetic and MDD research. Serotonin is the strongest citation bursts keyword.

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

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

Mental Health in the Post-Lockdown Scenario: A Scientometric Investigation of the Main Thematic Trends of Research.

Since the outbreak of COVID-19, researchers and clinicians have published scientific articles on the SARS-CoV-2 virus and its medical, organizational, financial, and psychological implications. However, many effects have been observed in the post-lockdown scenario. In this study, we adopted a scientometric-bibliometric approach to drawing the state of the art regarding the emotional and psychological effects of the pandemic after the lockdown. In Scopus, we found 791 papers that were subsequently analyzed using CiteSpace. The document co-citation analysis (DCA) computation generated a network of eight major clusters, each representing a central area of investigation. Specifically, one major cluster-cluster no. 1-focuses on the long-term effects of the COVID-19 pandemic and individuals' ability to develop adaptive coping mechanisms and resilience. The results allow us to frame the fields covered by researchers more precisely and the areas that still need more investigation.

Current status and trends in researches based on public intensive care databases: A scientometric investigation.

ObjectivePublic intensive care databases cover a wide range of data that are produced in intensive care units (ICUs). Public intensive care databases draw great attention from researchers since they were time-saving and money-saving in obtaining data. This study aimed to explore the current status and trends of publications based on public intensive care databases.MethodsArticles and reviews based on public intensive care databases, published from 2001 to 2021, were retrieved from the Web of Science Core Collection (WoSCC) for investigation. Scientometric software (CiteSpace and VOSviewer) were used to generate network maps and reveal hot spots of studies based on public intensive care databases.ResultsA total of 456 studies were collected. Zhang Zhongheng from Zhejiang University (China) and Leo Anthony Celi from Massachusetts Institute of Technology (MIT, USA) occupied important positions in studies based on public intensive care databases. Closer cooperation was observed between institutions in the same country. Six Research Topics were concluded through keyword analysis. Result of citation burst indicated that this field was in the stage of rapid development, with more diseases and clinical problems being investigated. Machine learning is still the hot research method in this field.ConclusionsThis is the first time that scientometrics has been used in the investigation of studies based on public intensive databases. Although more and more studies based on public intensive care databases were published, public intensive care databases may not be fully explored. Moreover, it could also help researchers directly perceive the current status and trends in this field. Public intensive care databases could be fully explored with more researchers' knowledge of this field.

Algal biorefinery culminating multiple value-added products: recent advances, emerging trends, opportunities, and challenges.

Algal biorefinery is rising as a prominent solution to economically fulfill the escalating global requirement for nutrition, feed, fuel, and medicines. In recent years,scientific productiveness associated with microalgae-based studies has elaborated in multiplied aspects, while translation to the commercial level continues to be missing. The present microalgal biorefinery has a challenge in long-term viability due to escalated market price of algal-mediated biofuels and bioproducts. Advancements are required in a few aspects like improvement in algae processing, energy investment, and cost analysis of microalgae biorefinery. Therefore, it is essential to recognize the modern work by understanding the knowledge gaps and hotspots driving business scale up.The microalgae biorefinery integrated with energy-based products, bioactive and green compounds, focusing on a circular bioeconomy, is urgently needed. A detailed investigation of techno-economic analysis (TEA) and life cycle assessment (LCA) is important to increase the market value of algal products. This review discusses the valorization of algal biomass for the value-added application that holds a sustainable approach and cost-competitive algal biorefinery. The current industries, policies, technology transfer trends, challenges, and future economic outlook are discussed. This study is an overview through scientometric investigation attempt to describe the research development contributing to this rising field.

The 100 most-cited articles on bibliotherapy: a bibliometric analysis

ABSTRACT Bibliotherapy is an important part of art therapy and many publications regarding bibliotherapy have been published in the past. However, there has none about the scientometric study to systematically analyze the development and emerging research trends on bibliotherapy. Therefore, we performed a scientometric investigation to describe trends of this theme. All publications related to bibliotherapy published from 1980 to 2020 were identified and selected from Science Citation Index Expanded, Social Sciences Citation Index, and Arts & Humanities Citation Index of Web of Science Core Collection. VOSviewer was used to create collaborative network plots of countries, institutions, and authors and to perform cluster analysis of keywords. A total of 703 articles were searched, and we retrieved the 100 most cited articles published by 146 institutions from 15 countries in 57 academic journals. The United States occupied a leading position in the field of bibliotherapy and Linköping University was the most productive institution. Journal of Consulting and Clinical Psychology was the most productive journal. Andersson G, Carlbring P, and Cuijpers P may have an important influence on bibliotherapy research. The applications in depression, anxiety, panic disorder, insomnia, and aphasia are the hot themes. This scientometric review provided a comprehensive understanding of the bibliotherapy research using quantitative and qualitative methods, which can provide references for researchers in the bibliotherapy field. As investigators continue to work, we look forward to the development of bibliotherapy efficacy and the implementation form and steps.

Status Quo and Research Trends of Neurosurgical Departments in China: Bibliometric and Scientometric Analyses.

BackgroundModern neurosurgery is a relatively young discipline characterized by finesse and complexity. In recent years, neurosurgery in China has made continuous developments, with long-term progress and outstanding discoveries in many aspects of the field.ObjectiveThis scientometric investigation aimed to comprehensively provide insight into the development trends of neurosurgery in China, to demonstrate how the field has evolved.MethodsPubMed database was searched to retrieve relevant papers published between 1988 and 2018 from neurosurgery institutions in China. The database of the National Natural Science Foundation of China was also retrieved for funding information. Information (eg, year of publication, journal, institute of origin) and keywords were collected from each paper after removing duplicates and filtering unintentional words. Co-word analysis was performed on the papers’ keywords, and a time distribution matrix of coexisting keywords in a given paper (ie, termed co-words) was established. Co-words were clustered according to their growth rate within years and visually presented with a mountain plot and a heatmap. Trends and potential subspecialties were identified, and each topic, represented either by a co-word from publications or funding from the National Natural Science Foundation of China during the period from 2011 to 2018, was collected and analyzed.ResultsWithin 15,972 publications on neurosurgery from institutions in China, diagnostic image was found to coexist the most with other keywords. Cluster 0, represented by diagnostic image with retrospective study, contained emerging topics with great developmental potential and demonstrated high growth rates in recent years. This finding suggests that the topics represented in Cluster 0 may represent future areas of important neurosurgical research. We also found that the developmental trend of China’s neurosurgical research is highly correlated with National Natural Science Foundation of China funding acquisition.ConclusionsCo-word analysis and visualization results provided insight into the emerging research topics that are of vital importance, which can be used as a reference by neurosurgeons and researchers for future investigations. In this study, our analysis strategy based on co-word biclustering was able to clearly demonstrate current academic subject development; therefore, co-word biclustering is a reliable bibliometric analysis strategy.

Idiosyncratic Drug Induced Liver Injury, Cytochrome P450, Metabolic Risk Factors and Lipophilicity: Highlights and Controversies.

Progress in understanding the mechanisms of the idiosyncratic drug induced liver injury (iDILI) was highlighted in a scientometric investigation on the knowledge mapping of iDILI throughout the world, but uncertainty remained on metabolic risk factors of iDILI, the focus of the present review article. For the first time, a quantitative analysis of 3312 cases of iDILI assessed for causality with RUCAM (Roussel Uclaf Causality Assessment Method) showed that most drugs (61.1%) were metabolized by cytochrome P450 (CYP) isoforms: 49.6% by CYP 3A4/5, 24.6% by CYP 2C9, 13.2% by CYP 2E1, 7.3% by CYP 2C19, 3.5% by CYP 1A2 and 1.8% by CYP 2D6. Other studies showed high OR (odds ratio) for drugs metabolized by unspecified CYPs but the iDILI cases were not assessed for causality with RUCAM, a major shortcoming. In addition to critical comments on methodological flaws, several risk factors of iDILI were identified such as high but yet recommended daily drug doses, actual daily drug doses taken by the patients, hepatic drug metabolism and drug lipophilicity. These risk factors are subject to controversies by many experts seen critically also by others who outlined that none of these medication characteristics is able to predict iDILI with high confidence, leading to the statement of an outstanding caveat. It was also argued that all previous studies lacked comprehensive data because the number of examined drugs was relatively small as compared to the number of approved new molecular entities or currently used oral prescription drugs. In conclusion, trends are evident that some metabolic parameters are likely risk factors of iDILI but strong evidence can only be achieved when methodological issues will be successfully met.

Harnessing Telemedicine for the Provision of Health Care: Bibliometric and Scientometric Analysis.

BackgroundIn recent decades, advances in information technology have given new momentum to telemedicine research. These advances in telemedicine range from individual to population levels, allowing the exchange of patient information for diagnosis and management of health problems, primary care prevention, and education of physicians via distance learning.ObjectiveThis scientometric investigation aims to examine collaborative research networks, dominant research themes and disciplines, and seminal research studies that have contributed most to the field of telemedicine. This information is vital for scientists, institutions, and policy stakeholders to evaluate research areas where more infrastructural or scholarly contributions are required.MethodsFor analyses, we used CiteSpace (version 4.0 R5; Drexel University), which is a Java-based software that allows scientometric analysis, especially visualization of collaborative networks and research themes in a specific field.ResultsWe found that scholarly activity has experienced a significant increase in the last decade. Most important works were conducted by institutions located in high-income countries. A discipline-specific shift from radiology to telestroke, teledermatology, telepsychiatry, and primary care was observed. The most important innovations that yielded a collaborative influence were reported in the following medical disciplines, in descending order: public environmental and occupational health, psychiatry, pediatrics, health policy and services, nursing, rehabilitation, radiology, pharmacology, surgery, respiratory medicine, neurosciences, obstetrics, and geriatrics.ConclusionsDespite a continuous rise in scholarly activity in telemedicine, we noticed several gaps in the literature. For instance, all the primary and secondary research central to telemedicine was conducted in the context of high-income countries, including the evidence synthesis approaches that pertained to implementation aspects of telemedicine. Furthermore, the research landscape and implementation of telemedicine infrastructure are expected to see exponential progress during and after the COVID-19 era.

Knowledge Mapping of Drug-Induced Liver Injury: A Scientometric Investigation (2010-2019).

BackgroundDrug-induced liver injury (DILI) is a common adverse event, which compromises the safety of numerous drugs, poses a significant risk to patient health, and enhances healthcare expenditures. Many articles have been recently published on DILI related research, though no relevant scientometric study has been published yet. This scientometric study was aimed at comprehensively analyzing the knowledge base and emerging topics on DILI.MethodsThe articles and reviews related to DILI, published from 2010 to 2019 in the Web of Science Core Collection (WoSCC), were retrieved on March 15, 2020, using relevant keywords. Four different scientometric software (HistCite, VOSviewer, CiteSpace, and R-bibliometrix) was used to conduct this scientometric study.ResultsA total of 1,995 publications were retrieved (including 1,550 articles and 445 reviews) from 592 academic journals with 56,273 co-cited references in 10 languages by 2,331 institutions from 79 countries/regions. The majority of publications (n = 727, 36.44%) were published in the United States, and the University of North Carolina contributed the most publications (n = 89, 4.46%). The most productive academic journal on DILI was the Toxicological Sciences [n = 79, 3.96%; impact factor (IF) 2018 = 3.564], and Hepatology was the first co-cited journal (n = 7,383, IF 2018 = 14.971). Fontana RJ and Teschke R may have significant influence on DILI research, with more publications (n = 46; n = 39) and co-citations (n = 382; n = 945). Definition, incidence rate or clinical characteristics, etiology or pathogenesis (such as the character of the innate immune system, the regulation of cell-death pathways, and susceptible HLA-B*5701 genotype), identification of main drugs and causality assessment (criteria and methods) were the knowledge base for DILI research. Exploring the microscopic mechanism (such as the organelle dysfunction and cytotoxicity induced by drugs, and exploration of role of neutrophils in DILI using mouse models) and developed newer approaches to prevent DILI (such as the prospective HLA-B*5701 screening and in vitro approaches for assessing the potential risk of candidate drugs for DILI) were the recent major topics for DILI research.ConclusionThis scientometric study comprehensively reviewed the publications related to DILI during the past decade using quantitative and qualitative methods. This information would provide references for scholars, researching on DILI.

Exploring the frontiers of eye tracking research in language studies: a novel co-citation scientometric review

Eye tracking technology has become an increasingly popular methodology in language studies. Using data from 27 journals in language sciences indexed in the Social Science Citation Index and/or Scopus, we conducted an in-depth scientometric analysis of 341 research publications together with their 14,866 references between 1994 and 2018. We identified a number of countries, researchers, universities, and institutes with large numbers of publications in eye tracking research in language studies. We further discovered a mixed multitude of connected research trends that have shaped the nature and development of eye tracking research. Specifically, a document co-citation analysis revealed a number of major research clusters, their key topics, connections, and bursts (sudden citation surges). For example, the foci of clusters #0 through #5 were found to be perceptual learning, regressive eye movement(s), attributive adjective(s), stereotypical gender, discourse processing, and bilingual adult(s). The content of all the major clusters was closely examined and synthesized in the form of an in-depth review. Finally, we grounded the findings within a data-driven theory of scientific revolution and discussed how the observed patterns have contributed to the emergence of new trends. As the first scientometric investigation of eye tracking research in language studies, the present study offers several implications for future research that are discussed.

Computing Research in South Africa: A Scientometric Investigation

Limited attention has been afforded to mapping the ‘landscape’ of South African computing research. Prior studies have considered singular sub-disciplines, publications, or publication types. Given the growing prominence of computing disciplines, it is necessary to identify the patterns of research production, publication, collaboration, and impact of South African computing research. This study presents a scientometric investigation in this regard. Through the analysis of data accessed from the Scopus citation enhanced bibliographic database, the investigation presents findings in relation to annual research production, institutional differences in outputs, topics, collaboration, and citation impact. While characterised by institutional differences, over the period considered, South African computing research output has increased at a greater rate than that of South African research at large. Additionally, despite accounting for a greater proportion of all outputs, conference papers account for a smaller proportion of citations relative to journal articles or book chapters. Corresponding to previous investigations, there exists a tendency towards applied computing topics in contrast to more theoretical topics. Finally, the collaboration network was shown to be particularly de-centralised with many researchers clustered around institutions. The findings are of interest to all researchers conducting computing or related research in South Africa.