Scientometric Mapping Research Articles

Analyzing hockey publications through scientometric and altmetric perspectives

Purpose This study aims to present scientometric mapping and altmetric analysis of publications related to “Hockey” in the past three decades. By using the advanced analytical techniques of mapping coupled with altmetric analysis, this paper aims to reveal the complex network of collaborations, the dispersion of expertise worldwide and prevailing thematic trends in the field of hockey. Design/methodology/approach The data was extracted from the Web of Science (WoS) database and Altmetric Explorer for articles related to hockey over the past three decades. VOSviewer was used to conduct network analysis whereas MS-Excel was used for altmetric data analysis. The study focused on the articles retrieved using the key term “Hockey” in English language publications. The altmetric attention scores (AAS) were used to measure the level of online attention on different platforms, complementing traditional bibliometric analysis. Findings The study reveals a notable increase in the productivity of hockey research over the past 30 years, with a specific focus on major surges in publication output and altmetric attention in recent times. Coauthorship and country-wise mapping analysis highlight global research collaboration trends, while keyword analysis underscores thematic concentrations. Key journals such as British Journal of Sports Medicine and American Journal of Sports Medicine emerge as crucial dissemination platforms. The importance of X posts (Formerly Twitter) and Mendeley in the diffusion of hockey literature is highlighted by altmetric research. Originality/value The study provides a concise overview of research conducted on the game of hockey. This research will be advantageous for researchers and individuals involved in the hockey community, as it offers bibliographic insights and aids in identifying suitable media for disseminating their findings.

Scientometric mapping of the trends, impact, and thematic evolution of scientific production on ehrlichiosis in veterinary medicine

Scientometric mapping of the trends, impact, and thematic evolution of scientific production on ehrlichiosis in veterinary medicine

Home Monitoring Tools to Support Tracking Patients with Cardio–Cerebrovascular Diseases: Scientometric Review

Home care and telemedicine are crucial for physical and mental health. Although there is a lot of information on these topics, it is scattered across various sources, making it difficult to identify key contributions and authors. This study conducts a scientometric analysis to consolidate the most relevant information. The methodology is divided into two parts: first, a scientometric mapping that analyzes scientific production by country, journal, and author; second, the identification of prominent contributions using the Tree of Science (ToS) tool. The goal is to identify trends and support decision-making in the health sector by providing guidelines based on the most relevant research.

Mapping the global knowledge landscape of digital transformation in the AEC industry: a scientometric analysis

PurposeIn recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector.Design/methodology/approachEmploying a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords.FindingsThe findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”.Originality/valueThis study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject.

Using Knowledge Graphs to Analyze the Characteristics and Trends of Forest Carbon Storage Research at the Global Scale

Research on forest carbon storage (FCS) is crucial for the sustainable development of human society given the context of global climate change. Previous FCS studies formed the science base of the FCS field but lacked a macrolevel knowledge summary. This study combined the scientometric mapping tool VOSviewer and multiple statistical models to conduct a comprehensive knowledge graph mining and analysis of global FCS papers (covering 101 countries, 1712 institutions, 5435 authors, and 276 journals) in the Web of Science database as of 2022, focusing on revealing the macro spatiotemporal pattern, multidimensional research status, and topic evolution process of FCS research at the global scale, so as to grasp the status of global FCS research more clearly and comprehensively, thereby facilitating the future decision-making and practice of researchers. The results showed the following: (1) In the past three decades, the number of FCS papers indicated an increasing trend, with a growth rate of 4.66/yr, particularly significant after 2010. These papers were mainly from Europe, the Americas, and Asia, while there was a huge gap between Africa, Oceania, and the above regions. (2) For the research status at the national, institutional, scholar, and journal levels, the USA, with 331 FCS papers and 18,653 total citations, was the most active and influential country in global FCS research; the United States Forest Service topped the influential ranking with 4115 citations; Grant M. Domke and Jerome Chave were the most active and influential FCS researchers globally, respectively. China’s activity (237 papers) and influence (5403 citations) ranked second, and the Chinese Academy of Sciences was the most active research institution in the world. Currently, FCS research is published in a growing number of journals, among which Forest Ecology and Management ranked first in the number of papers (154 papers) and citations (6374 citations). (3) In recent years, the keyword frequency of monitoring methods, driving factors, and reasonable management for FCS has increased rapidly, and many new related keywords have emerged, which means that researchers are not only focusing on the estimation and monitoring of FCS but also increasingly concerned about its driving mechanism and sustainable development.

Fifty‐two years of consumer research based on social exchange theory: A review and research agenda using topic modeling

AbstractSocial exchange theory (SET) is a leading sociopsychological theory that has enriched understanding of consumers' behavior. In this study, we examine application of SET in consumer research over last 52 years (1971–2022) in terms of predominant topics, publications, outlets, networks, and clusters. We adopt a holistic approach by amalgamating systematic literature review (SLR) using Scientific Procedures and Rationales for SLRs protocol; scientometric analysis utilizing bibliographic coupling and betweenness centrality; and topic modeling employing latent Dirichlet allocation. Based on text analysis of 215 full research papers, the study extracts five predominant areas of extant consumer research leveraging SET: (1) relationship marketing, (2) collaborative consumption, (3) gifting behavior, (4) brand experience, and (5) tourism and hospitality. Scientometric mapping reveals six cohesive clusters and identifies seminal studies in SET‐based consumer research. Building upon the insights, the article concludes by presenting agenda for future research.

Scientific Mapping of Machine Learning Methods in Predicting Power Output of Solar Photovoltaic Power Systems

Objective: This study aimed to conduct a scientometric mapping of the scientific literature on prediction models in photovoltaic solar energy generation, with a special focus on grid-connected photovoltaic systems (GCPV), aiming to provide important insights for researchers, policymakers, and professionals interested in advancing the integration of photovoltaic solar energy into the current energy distribution system. Theoretical Framework: In this section, the main concepts and theories underpinning the research are presented, focusing on prediction models in photovoltaic solar energy generation, as well as grid-connected photovoltaic systems (GCPV). Method: The methodology adopted comprised a bibliometric approach, analyzing publications indexed in the Scopus and Web of Science databases over the last decade, using the Biblioshiny software from RStudio. Results and Discussion: The results revealed a significant growth in academic production, identifying key authors, leading research countries, and influential journals in the field. Central and emerging themes were also mapped, along with research gaps and opportunities in the field of photovoltaic solar energy. Research Implications: The practical and theoretical implications of this research include insights into how the results may influence the integration of photovoltaic solar energy into the energy distribution system, impacting areas such as scientific research, policy development, and professional practice. Originality/Value: This study contributes to the literature by offering a comprehensive mapping of research on prediction models in photovoltaic solar energy generation, highlighting gaps and opportunities to advance the field, as well as providing valuable insights for various stakeholders interested in this area.

Unveiling a century of Taraxacum officinale G.H. Weber ex Wiggers research: a scientometric analysis and thematically-based narrative review

BackgroundThis study aims to conduct a scientometric analysis and thematically-based narrative review of a century of Taraxacum officinale research (TOR), uncovering patterns, trends, themes, and advancements in the field to provide insights for future investigations. The study followed PRISMA guidelines and utilized the Scopus database with MeSH terms for bibliographic data retrieval. Scientometric mapping employed VOSviewer and R-package-based Bibliometrix, while extracted themes were reviewed narratively. A detailed analysis of TOR was achieved by including only original studies.ResultsThe findings include the extensive duration of TOR since 1908 and its significant growth, particularly in the last two decades. China emerges as the most productive country, but the United States leads in recognizable and collaborative TOR. The thematic map displays dynamic and diverse themes, with a rich knowledge structure revealed through the analysis of term co-occurrence. The year 2016 represents a turning point in the thematic map, marked by numerical growth and thematic bifurcation. The study extracted several main research topics within the field of TOR, including germination, antioxidant activity, bioherbicide, oxidative stress, Taraxacum kok-saghyz, and heavy metals. These topics represent key areas of investigation and provide insights into the diverse aspects of research surrounding T. officinale. Additionally, emerging topics in TOR encompass toxicity, metabolomics, dandelion extract, and diabetes mellitus.ConclusionsThe study consolidated knowledge, highlighted research gaps, and provided directions for future investigations on TOR.

Exploring the Scientific Literature Between Ultraprocessed Foods and Cancer: A Scientometric Mapping.

Objective: The objective of the study is to explore the scientific literature between ultraprocessed foods (UPFs) and cancer using a scientometric mapping. Materials and Methods: A Scopus search was conducted on February 4, 2024, limited to papers published between 2018 and 2023. We found 662 articles, 189 reviews, 68 book chapters, 13 conference papers, and 9 notes. The whole analysis included the evaluation of scholarly output by country/region, the number of scholarly papers produced (scholarly output), the number of views (view count), the field-weighted citation impact (FWCI). Results: In the analysis conducted for the period 2018-2023, a dataset was examined where the annual growth rate was 5.96%, indicating a sustained expansion of the literature. The average number of citations per paper was 18.56, underlining the impact and relevance of the publications. Sixty-six single-authored papers were identified, and international collaborations accounted for 27.23% of the collaborative efforts. The most prominent authors were Inge Huybrechts, Marc J.R. Gunter, and Edward Luciano Giovannucci. In terms of impact and visibility, Harvard University leads with 52 contributions and a field-weighted impact of 3.39. Conclusions: The literature in the field of UPFs and cancer has experienced a sustained expansion. The scientometric indicators reveal a high activity of recent academic contributions with significant impact.

Deciphering drug discovery and microbial pathogenesis research in tuberculosis during the two decades of postgenomic era using entity mining approach.

We examined literature on Mycobacterium tuberculosis (Mtb) subsequent to its genome release, spanning years 1999-2020. We employed scientometric mapping, entity mining, visualization techniques, and PubMed and PubTator databases. Most popular keywords, most active research groups, and growth in quantity of publications were determined. By gathering annotations from the PubTator, we determined direction of research in the areas of drug hypersensitivity, drug resistance (AMR), and drug-related side effects. Additionally, we examined the patterns in research on Mtb metabolism and various forms of tuberculosis, including skin, brain, pulmonary, extrapulmonary, and latent tuberculosis. We discovered that 2011 had the highest annual growth rate of publications, at 19.94%. The USA leads the world in publications with 18,038, followed by China with 14,441, and India with 12,158 publications. Studies on isoniazid and rifampicin resistance showed anenormous increase. Non-tuberculous mycobacteria also been the subject of more research in effort to better understand Mtb physiology and as model organisms. Researchers alsolooked at co-infections like leprosy, hepatitis, plasmodium, HIV, and other opportunistic infections. Host perspectives like immune response, hypoxia, and reactive oxygen species, as well as comorbidities like arthritis, cancer, diabetes, and kidney disease etc. were also looked at. Symptomatic aspects like fever, coughing, and weight loss were also investigated. Vitamin D has gained popularity as a supplement during illness recovery, however, the interest of researchers declined off late. We delineated dominant researchers, journals, institutions, and leading nations globally, which is crucial for aligning ongoing and evolving landscape of TB research efforts. Recognising the dominant patterns offers important information about the areas of focus for current research, allowing biomedical scientists, clinicians, and organizations to strategically coordinate their efforts with the changing priorities in thefield of tuberculosis research.

Neurostrategy: A scientometric analysis of marriage between neuroscience and strategic management

This study represents one of the earliest attempts at providing a complete scientometric mapping and a systematic review of the nascent field of neurostrategy. Machine-based algorithms and text-mining have been used to – (a) clarify the dominant concepts at the junction of neuroscience and strategic management; (b) identify the ontological and epistemological foundations of neurostrategy; (c) explain how the scholarly discourse around neurostrategy has evolved; (d) reveal the trends that are gaining traction within neurostrategy research; and (e) develop propositions at the confluence of managerial capabilities, knowledge management, dynamic capabilities, and neurostrategy. The study unveils how neurostrategy represents a quintet of disciplines and lays bare the hypes and hopes surrounding neurostrategy. The study explains how the road that leads to competitive success passes through the development of neuronally intelligent strategies that not only resolve the battle between the organization and its people, but also the one within an organizational decision maker.

Trends and frontiers in coal mine groundwater research: insights from bibliometric analysis

Globally, studying the impact of coal mining on groundwater remains challenging. This is because the exploitation of coal resources and the sustainable development of groundwater resources involve economic, social, and environmental aspects. Over the last few decades, the number of publications on groundwater-related studies in coal mining areas has increased. However, they are not currently reviewed in a widely visible manner through bibliometric analyses. This study investigated groundwater research in coal mining areas worldwide using scientometric analysis based on 1196 articles from the Web of Science database to provide a global perspective and gain quantitative insight into research frontiers and trends in the field by mapping existing knowledge. We analyzed the key contributors and development processes of coal mine groundwater research and identified four research frontiers based on scientometric mapping results with an understanding of the research field: numerical modeling, conceptual modeling and mechanisms, feedback mechanisms between anthropogenic-environmental systems and groundwater systems, ground subsidence management, groundwater quality evaluation and risk assessment, and groundwater resource management in coal mines. Finally, we summarize the current challenges and propose methods to promote the green mining of coal resources and the sustainable development and management of groundwater resources.

Global cluster analysis and network visualization in organoids in cancer research: a scientometric mapping from 1991 to 2021.

In the last three decades, there has been a surge in research on cancer organoids using 3D culture technologies, which has resulted in the development of physiological human cancer models. This study aims to provide an overview of the global trends and frontiers in research on cancer organoids. A total of 3189 publications on organoids in cancer research from 1991 to 2021 were collected from the Science Citation Index-Expanded (SCIE) of Web of Science (WoS). Bibliometric methods such as the R package "Bibliometrix," Citespace, and VOS viewer software were employed to investigate and visualize bibliographic coupling, co-citation, co-authorship, and co-occurrence trends, as well as publication trends in the field of organoids in cancer research. From 1991 to 2021, there has been a significant increase in publications on cancer organoids, with most articles being from North America, Eastern Asia, and Western Europe. The USA had the highest number of publications, citations, prolific authors, and research funding globally. Cancers was the journal with the most publications, while Nature had the best total link strength. Harvard University were the most contributive institutions. The global research in this field could be classified into five clusters: chemotherapy study, organoids for drug screening, different models, molecular mechanism study, and organoid construction. These areas are expected to remain hotspots for future research. The number of publications on organoids in cancer research is expected to increase based on current global trends.

Scientometric mapping of global publications on pulmonary embolism in Covid-19 research

Objective. The study presents scientometric research on the scientific literature on COVID-19 associated with Pulmonary Embolism indexed in the Web of Science database. Design/Methodology/Approach. The study analysed 1307 bibliographic records published between 2020 and April 10, 2023. The authors analysed the publication and citation data for the parameters like key participating countries, organisations, authors, journals, and publishers. Collaborative patterns were studied through science mapping tools like VOSviewer and Biblioshiny (R Package). Results/Discussion. The study analysed 1307 publications, which received 38,930 citations, at the rate of 29.79 Citations Per Paper. The study also presented the publication growth rate (Annual Growth Rate -47.87%), 97.55% collaborated publications, and 21.88% of publications are through international collaboration. 9,523 authors from 87 countries and 2,643 organisations participated in these research publications. The USA (368), Italy (205), and England (135) were the most productive countries. Udice French Research Universities (87), INSERM (72) and Assistance Publique Hopitaux Paris (62) were the top contributing organisations. F.A. Klok of Leiden Univ Med Ctr, Leiden, Netherlands (21) has a highly published author. Thrombosis Research (59), a journal published by Elsevier, is the highly preferred journal to publish the research. Journal of Thrombosis and Haemostasis (2602), published by Wiley, is a highly referred journal among the 22,080 references. Elsevier has published the highest number of 326 research papers on ‘Covid 19 and Pulmonary Embolism’ publisher among the 115 publishers. The top 5 keywords in terms of frequency of occurrences were: covid-19 (714), pulmonary embolism (405), sars-cov-2 (191), thrombosis (154), and venous thromboembolism (146). Conclusions. The present study provides a framework to profile the research landscape and exploit the global research on the scientific literature on COVID-19 associated with Pulmonary Embolism, combining the productivity analysis and its impact through citation analysis. A summary of the study throws light on the research opportunities for doctors and researchers, along with the implications for various healthcare systems and policymakers.

Sustainability and Digital Transformation within the Project Management Area: A Science Mapping Approach

Although many studies have focused on digital transformation and sustainability within the realm of project management, there has been a lack of research that comprehensively reviews the current state of the art of the aforementioned subject using a holistic approach. This oversight hampers the amalgamation of DT and sustainability in project management, waning the steps to be taken for the realisation of a smart and sustainable built environment. To fill the identified knowledge gap, this study presents a science mapping approach to meticulously examine the literature published on DT and sustainability within the realm of project management. In doing so, a bibliometric review together with a comprehensive Scientometric mapping analysis was carried out on the literature published from 2011 to 2022. The findings obtained in this study provide insightful accounts for both project managers and academics. Project managers are not only enlightened on revamping their business models but are also given insights into utilising digital strategies for bringing the maximum level of sustainability into their projects. Meanwhile, researchers are given insight into the emerging trends, timelines, and emerging streams that will be explored in future endeavours.

Water Safety and Water Governance: A Scientometric Review

Water safety and water governance are critical concerns, as water is a vital and finite resource that is essential for ecological processes, human survival, and economic and social development, requiring collaborative and coordinated work of all related actors. The subject literature is scattered and fragmented, making it difficult to identify the key contributions and understand the current state of research; however, these considerations are an increasing preoccupation. To address this issue, a scientometric analysis was conducted in this work to identify the main contributions in the field. The methodology of the research was divided into two sections: the first section presents a scientometric mapping, including an analysis of scientific production by country, journal, and author. The second section identified the main theoretical contributions through the use of the Tree of Science metaphor. The main subfields identified include social governance structures and capacities, drinking water management, and socio-hydrogeology and collaborative governance. This research provides valuable insights for decision makers to develop and promote effective strategies to improve water safety and participatory efforts.

Evaluating Advancements in Forensic Medicine and Toxicology Through a Scientometric Mapping

The study focused on using scientometric methods to analyze forensic medicine and toxicology literature. The selected period for the study was from 2013 to 2022, allowing for a recent and comprehensive field analysis. The study used bibliographic data from a PubMed database, a widely used biomedical literature database. The study aimed to provide a comprehensive picture of the production and dissemination of the literature in the field. To achieve this, the study analyzed various bibliometric indicators, including theme analysis, keyword evolvement, and collaboration map. The analysis of trending topics and future thematic directions in the field was also conducted to provide insight that could inform and stimulate the research interests of young researchers. This scholarly article explains the construction of author networks, the assessment of author productivity yearly, and the analysis of affiliation networks and organizations. The number of articles published by an institution is an essential indicator of research productivity and expertise in the particular field. The study's findings provided valuable insights into the trends and patterns in forensic medicine and toxicology.

Synthesized Evaluation of Reinforced Concrete Bridge Defects, Their Non-Destructive Inspection and Analysis Methods: A Systematic Review and Bibliometric Analysis of the Past Three Decades

Defects are essential indicators to gauge the structural integrity and safety of reinforced concrete bridges. Non-destructive inspection has been pervasively explored over the last three decades to localize and characterize surface and subsurface anomalies in reinforced concrete bridges. In addition, different fuzzy set theory-based, computer vision and artificial intelligence algorithms were leveraged to analyze the data garnered from non-destructive evaluation techniques. In light of the foregoing, this research paper presents a mixed review method that encompasses both bibliometric and systematic analyses of the state-of-the-art work pertinent to the assessment of reinforced concrete bridge defects using non-destructive techniques (CBD_NDT). In this context, this study reviews the literature of journal articles and book chapters indexed in Scopus and Web of Science databases from 1991 to the end of September 2022. To this end, 505 core peer-reviewed journal articles and book chapters are compiled for evaluation after conducting forward and backward snowballing alongside removing irrelevant papers. This research study then exploits both VOSVIEWER and Bibiometrix R Package for the purpose of network visualization and scientometric mapping of the appended research studies. Thereafter, this paper carries out a multifaceted systematic review analysis of the identified literature covering tackled bridge defects, used non-destructive techniques, data processing methods, public datasets, key findings and future research directions. The present study is expected to assist practitioners and policymakers to conceive and synthesize existing research and development bodies, and future trends in the domain of the assessment of bridge defects using non-destructive techniques. It can also aid in raising awareness of the importance of defect management in bridge maintenance systems.

Global Cluster Analysis and Network Visualization in Prosthetic Joint Infection: A Scientometric Mapping.

Prosthetic joint infection (PJI) is the main reason of failure of total joint arthroplasty (TJA). This study aimed to investigate the global trends and network visualization in research of PJI. Publications in PJI search during 1980-2022 were extracted from the Science Citation Index-Expanded of Web of Science Core Collection database (WoSCC). The source data was investigated and analyzed by bibliometric methodology. For network visualization, VOS viewer and R software was used to perform bibliographic coupling, co-citation, co-authorship and co-occurrence analysis and to predict the publication trends in PJI research. There were 7288 articles included. The number of publications and relative research interests increased gradually per year globally. The USA made the highest contributions in the world and with the highest H-index and the most citations. Journal of Arthroplasty published the highest number of articles in this area. The Mayo Clinic, Thomas Jefferson University (Rothman Institute), Hospital Special Surgery and the Rush University were the most contributive institutions by network visualization. Included studies were divided into four clusters: bacterial pathogenic mechanism and antibacterial drugs study, TJA complications, risk factors and epidemiology of PJI, diagnosis of PJI, and revision surgical management. More articles in PJI could be published over the next few years. The number of publications about PJI will be increasing dramatically based on the global trends and network visualization. The USA made the highest contributions in PJI. Diagnosis and revision management may be the next hot spots in this field.

Hybrid learning trends in higher education post pandemic Covid 19: Scientometric mapping

The study aimed to identify the keywords, authors, institutions and countries that were most influential in the implementation of hybrid learning in higher education during the Covid 19 pandemic, and to see future research trends related to the post-Covid 19 pandemic. This research uses bibliometric approach. The data collected is sourced from the Scopus database, starting from 2020 to 2022. Using ALL search ("hybrid learning" AND "higher education"), and obtained 1,110 research documents. Document sources came from 783 journal documents, 214 conference proceeding documents, 59 document book series, and 54 document books. The research results explained that seven sub-fields of research keywords were obtained, with the top 7 keywords namely students, e-learning, hybrid learning, covid-19, higher education, blended learning, teaching, learning systems, online learning. With the theme of this research consists of 3,132 authors, and produces 19 networks of collaborative writers. There is a network of 105 countries, and the top 7 countries are United States, China, Spain, United Kingdom, Australia, Malaysia, Saudi Arabia, Norway, Netherlands and Pakistan. The documents were also obtained by 2,212 organizations and 71 research organization networks, as well as 174 interconnected journals.