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The adoption of the Internet of Things (IoT) has revolutionized the way the health care industry works. IoT en-abled smart and connected solutions like smart sensors, wearable devices, and smart health monitoring systems are used to unleash the potential growth of the health care industry. IoT based health care solutions are on greater priority among IoT service providers since the disruptions caused by the COVID-19. According to experts, there still exist white spots in research studies on the Internet of Things (IoT) and health care Systems. The study conducted in this paper aims to explore emerging global research trends and topical focus in the field of IoT in health care System. Bibliometric analysis is used to analyze the research articles on 'Internet of Things' and 'Health care Systems' extracted from SCOPUS and WoS database using VoS Viewer tool;the analysis used to assess the growth and research trends of different research fields over a period of time. The parameters considered during analysis include year-wise citations, year-wise publications, keyword clustering analysis, author-wise analysis, country-wise research trends and publication trend over the years. The results showcased that there has been significant change in utilization of IoT in healthcare systems continuously during the period under study conducted. © 2022 IEEE.
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The purpose of this study is to analysis the evolution of the retail sector during the COVID-19 period and to identify future research issues. Scopus databases were searched for articles published in English between 2020 and 2022 to discover current trends and concerns in the retail industry. A total of 1071 empirical and nonempirical studies were compiled as a result of the evaluation process. During the study period, the number of articles published in scientific journals increased exponentially, indicating that the research topic is still in the developmental phase. It also highlights the most important research trends, allowing numerous new research lines to be proposed via visual mapping of Thematic Maps. This study makes an important contribution to the field of the retail sector, providing a comprehensive overview of the field's evolution and current status, as well as a comprehensive, synthesized, and organized summary of the various perspectives, definitions, and trends in the field.
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Purpose: This study aims to utilize the bibliometric method to investigate the most important characteristics and key research topics in the literature on cryptocurrency research. Theoretical framework: This study used a text mining framework based on domain-level and knowledge structure analysis. Design/methodology/approach: Based on domain-level and knowledge structure analysis, this study used data from the Scopus database, which included 1,685 published articles from 2018 to 2023 on cryptocurrency research. Data analytics and visualization may be accomplished with the bibliometrix package in R software. Findings: The result found that, there has been a fifty percent annual growth in cryptocurrency research since 2018. Studying the most frequently used terms and phrases in the research makes it possible to see which research areas have the greatest impact. According to the results, (1) cryptocurrency market, (2) market efficiency, (3) herding behavior, (4) COVID pandemic, (5) safe haven, (6) stock markets, (7) financial markets, and (8) volatility spillovers should be the emphasis of future research. Research, Practical & Social implications: This article will be useful to scholars and practitioners looking for research directions. Based on the trending topics and knowledge structure of cryptocurrency research, this research also suggests potential new study topics for the future. Originality/value: The value of these findings revealed an increase and a new aspect of cryptocurrency research in the business field related to the continued expansion of empirical research documents, researchers/authors, global collaboration, and co-citations. © 2023 AOS-Estratagia and Inovacao. All rights reserved.
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In 2020, the CoViD-19 pandemic spread worldwide in an unexpected way and suddenly modified many life issues, including social habits, social relationships, teaching modalities, and more. Such changes were also observable in many different healthcare and medical contexts. Moreover, the CoViD-19 pandemic acted as a stress test for many research endeavors, and revealed some limitations, especially in contexts where research results had an immediate impact on the social and healthcare habits of millions of people. As a result, the research community is called to perform a deep analysis of the steps already taken, and to re-think steps for the near and far future to capitalize on the lessons learned due to the pandemic. In this direction, on June 09th-11th, 2022, a group of twelve healthcare informatics researchers met in Rochester, MN, USA. This meeting was initiated by the Institute for Healthcare Informatics-IHI, and hosted by the Mayo Clinic. The goal of the meeting was to discuss and propose a research agenda for biomedical and health informatics for the next decade, in light of the changes and the lessons learned from the CoViD-19 pandemic. This article reports the main topics discussed and the conclusions reached. The intended readers of this paper, besides the biomedical and health informatics research community, are all those stakeholders in academia, industry, and government, who could benefit from the new research findings in biomedical and health informatics research. Indeed, research directions and social and policy implications are the main focus of the research agenda we propose, according to three levels: the care of individuals, the healthcare system view, and the population view.
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The Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have noticed a trend toward patient-centered care supported by AI and machine learning and increased research in cross-institutional data sharing, particularly in telemedicine. As a result, they adjusted their search query to include the MeSH term "telemedicine." As a preliminary step and to get a sense of the historical development of telemedicine research activity, they performed a bibliometric analysis of all previously published papers in PubMed indexed with the tag "Telemedicine" as MeSH Major Topic. They retrieved 29,289 publications from 1976 to 2022 and used their titles and abstracts to create a bibliometric network that visualizes the most relevant terms, their frequency and relationship to each other, and the chronological sequence of their publication. The development over time also shows a clear move toward patient-centeredness. Interestingly, the term "Covid," which has only recently come into use, takes on a central role in the network.
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COVID-19 , Medical Informatics , Telemedicine , Humans , Machine Learning , BibliometricsABSTRACT
This study used bibliometric analysis to investigate global research trends regarding the effect of COVID-19 risks in sustainable facility management fields. Between 2019 and 2021, the Scopus database published 208 studies regarding the effect of COVID-19 risks on sustainable facility control fields. VOSviewer software was used to analyse the co-occurrence of all keywords, and Biblioshiny software allowed getting the most relevant affiliation using the three-field plot. The results show the contribution by authors from 51 countries, and 73 keywords were identified and organised into six clusters, such as the effect of COVID-19 risks on human health, supply chain in construction projects and industry, disaster risk management in a changing climate, sustainable supply chain benchmarking, facility management and quality control, and, finally, sensitivity analysis & decision-making. © 2023 Khaled Jameel Aladayleh et al., published by Sciendo.
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Purpose: The emotion regulation research has drawn considerable attention from academicians and scholars in the contemporary world. As a result, the publications that are specifically dedicated to emotion regulation research are rapidly escalating. Therefore, this study aims to conduct a bibliometric analysis of research articles that have been published in the field of "emotion regulation.” The study primarily examines the growth and development of scholarly publications, seminal studies, influential authors, productive journals, research production and collaboration among countries, emerging research themes, research hotspots and thematic evolution of emotion regulation research. Design/methodology/approach: The Web of Science Core Collection database was used to gather the study's data, which was then analysed using VOSviewer and Bibliometrix, Biblioshiney open-source package of the R language environment. Findings: The study's results reveal that the research on emotion regulation has grown significantly over the last three decades. Notably, Emotion and Frontiers in Psychology are the most dominant and productive journals in the field of emotion regulation research. The most prominent author in the area of emotion regulation is identified as James Gross, followed by Gratz, Wang and Tull. The USA is at the forefront of research on emotion regulation and has collaborated with most of the developed countries like Germany, England and Canada. The keyword analysis revealed that the most potential research areas in the field of emotion regulation are functional magnetic resonance imaging, amygdala, post-traumatic stress disorder, borderline personality disorder, alexithymia, emotion dysregulation, depression, anxiety, functional connectivity, neuroimaging, mindfulness, self-regulation, resilience and coping. The thematic evolution reflects that the research on emotion regulation has recently focused on issues including Covid-19, non-suicidal self-injury, psychological distress, intimate partner violence and mental health. Originality/value: The results of this study highlighted the current knowledge gaps in emotion regulation research and suggested areas for further investigation. The present study could be useful for researchers, academicians, planners, publishers and universities engaged in emotion regulation research. © 2023, Emerald Publishing Limited.
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The construction industry builds the essential infrastructure and contributes to the economic development of any nation. The productivity of the construction industry has been lagging behind manufacturing for many decades. The COVID-19 pandemic has exposed the vulnerability of the industry and its severe dependencies on manual, labour-oriented practices. The industry needs to become resilient and rebound quickly to recover from the impacts of the pandemic. The 3D printing or additive manufacturing concept offers to automate the processes of construction, improve efficiencies in design & construction, reduce wastage and sustainable development. The present paper intends to summarize the developments, trends, and application areas through a scientometric review. Research articles were obtained from the Scopus database. The USA leads the research studies followed by China, Australia, the UK and Germany. 339 documents were obtained from the initial search. These were systematically filtered for review through the PRISMA framework. The screened 193 articles were quantitatively analyzed through the VOS viewer software. The study summarizes the current research trends, themes, and future research trends. The study contributes to the existing body of knowledge and intends to raise awareness of the concept and encourage researchers and practitioners to adopt the concept on a larger scale, especially in India. © 2023 Elsevier Ltd. All rights reserved.
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The analysis of bibliometric data from scientific journals is a tool of Technological Surveillance and Strategic Intelligence that the Ministry of Science, Technology, and Innovation of Argentina has been adapting for the identification of research trends and scientific production at national and international level. The present work is the synthesis of the scientific effort of Argentina, carried out in the years 2020 and 2021, as a contribution to the generation of responses with evidence and knowledge, by the health system and public policy, to the management of the pandemic. Which organizations have the most publications? What are the main topics of interest? Who funds the research? and What are the topics of interest of private enterprise? are some of the questions and answers that are investigated in this work. © 2022 IEEE.
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Since most schools and learners had no choice but to learn online during the pandemic, online learning became the mainstream learning mode rather than a substitute for traditional face-to-face learning. Given this enormous change in online learning, we conducted a systematic review of 191 of the most recent online learning studies published during the COVID-19 era. The systematic review results indicated that the themes regarding "courses and instructors” became popular during the pandemic, whereas most online learning research has focused on "learners” pre-COVID-19. Notably, the research topics "course and instructors” and "course technology” received more attention than prior to COVID-19. We found that "engagement” remained the most common research theme even after the pandemic. New research topics included parents, technology acceptance or adoption of online learning, and learners' and instructors' perceptions of online learning. © 2023, The Online Learning Consortium. All rights reserved.
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Purpose: The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research. Design/methodology/approach: The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace). Findings: The analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance. Originality/value: This paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field. © 2023, Emerald Publishing Limited.
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BACKGROUND: To compare the research hotspots of infections with the Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the coronavirus disease 2019 (COVID-19) pandemic and to identify future research trends. METHODS: Studies about Delta and Omicron variant infections published over the last 3 years were retrieved from the Web of Science (WoS) database. A comparative bibliometric analysis was conducted through machine learning and visualization tools, including VOSviewer, Bibliographic Item Co-Occurrence Matrix Builder, and Graphical Clustering Toolkit. Research hotspots and trends in the field were analyzed, and the contributions and collaborations of countries, institutions, and authors were documented. A cross-sectional analysis of the relevant studies registered at ClinicalTrials.gov was also performed to clarify the direction of future research. RESULTS: A total of 1,787 articles distributed in 107 countries and 374 publications from 77 countries focused on the Delta and Omicron variants were included in our bibliometric analysis. The top five productive countries in both variants were the USA, China, the UK, India, and Germany. In 5,999 and 1,107 keywords identified from articles on the Delta and Omicron, the top two frequent keywords were the same: "COVID-19" (occurrence: 713, total link strength: 1,525 in Delta; occurrence: 137, total link strength: 354 in Omicron), followed by "SARS-CoV-2" (occurrence: 553, total link strength: 1,478 in Delta; occurrences 132, total link strength: 395 in Omicron). Five theme clusters from articles on Delta variant were identified: transmission, molecular structure, activation mode, epidemiology, and co-infection. While other three theme clusters were recognized for the Omicron variant: vaccine, human immune response, and infection control. Meanwhile, 21 interventional studies had been registered up to April 2022, most of which aimed to evaluate the immunogenicity and safety of different kinds of vaccines in various populations. CONCLUSIONS: Publications and clinical trials related to COVID-19 increased annually. As the first comparative bibliometric analysis for Delta and Omicron variants, we noticed that the relevant research trends have shifted from vaccine development to infection control and management of complications. The ongoing clinical studies will verify the safety and efficacy of promising drugs.
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BACKGROUND: Immunosenescence, the aging of the immune system, leads to a decline in the body's adaptability to the environment and plays an important role in various diseases. Immunosenescence has been widely studied in recent years. However, to date, no relevant bibliometric analyses have been conducted. This study aimed to analyze the foundation and frontiers of immunosenescence research through bibliometric analysis. METHODS: Articles and reviews on immunosenescence from 1970 to 2021 were obtained from the Web of Science Core Collection. Countries, institutions, authors, journals, references, and keywords were analyzed and visualized using VOSviewer and CiteSpace. The R language and Microsoft Excel 365 were used for statistical analyses. RESULTS: In total, 3763 publications were included in the study. The global literature on immunosenescence research has increased from 1970 to 2021. The United States was the most productive country with 1409 papers and the highest H-index. Italy had the highest average number of citations per article (58.50). Among the top 10 institutions, 50 % were in the United States. The University of California was the most productive institution, with 159 articles. Kroemer G, Franceschi C, Goronzy JJ, Solana R, and Fulop T were among the top 10 most productive and co-cited authors. Experimental Gerontology (n = 170) published the most papers on immunosenescence. The analysis of keywords found that current research focuses on "inflammaging", "gut microbiota", "cellular senescence", and "COVID-19". CONCLUSIONS: Immunosenescence research has increased over the years, and future cooperation and interaction between countries and institutions must be expanded. The connection between inflammaging, gut microbiota, age-related diseases, and immunosenescence is a current research priority. Individualized treatment of immunosenescence, reducing its negative effects, and promoting healthy longevity will become an emerging research direction.
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COVID-19 , Immunosenescence , Humans , Cellular Senescence , BibliometricsABSTRACT
Background Mental health problems among college students have become increasingly prominent. Social anxiety is one of the prevalent psychological problems among college students. Objective To explore the research hot spots，frontiers and trends on social anxiety among college students，and provide reference for researchers participating in the research of college students' social anxiety in the future. Methods 643 English articles in database of Web of Science（WOS） and 166 Chinese articles in database of China National Knowledge Infrastructure（CNKI）from 2000 to 2021 were analyzed using CiteSpace on August 27，2021. Results The number of English articles on social anxiety among college students showed an increasing trend from 2000 to 2021. The research hot spots and frontiers of social anxiety among college students were mainly focused on substance abuse，mobile phone and internet addiction，negative evaluation fear，racial differences，psychological intervention and COVID-19 epidemic. The future research trends were mainly focused on the mechanism of substance abuse and mobile phone addiction. Conclusion Chinese scholars can refer to the research hot spots，trends and the differences between domestic and foreign research shown by this visual analysis，and focus on the related problems of substance abuse and mobile internet addiction among college students with social anxiety. © 2022 Chinese General Practice. All rights reserved.
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Background: The Coronavirus disease-2019 (COVID-19) significantly affected the healthcare and research systems, including spine surgery, throughout the world. A bibliometric analysis allows graphical visualization of the development of an academic field and its frontiers. Since research concerning spine surgery during the COVID-19 pandemic is being constantly upgraded, we conducted a bibliometric analysis of this literature to investigate the current status, research hotspots, and trends in this field. Methods: We searched the Web of Science database for literature published (from December 1, 2019, to March 24, 2022) using the terms "COVID-19" OR "2019-nCoV" OR "SARS-CoV-2" AND "spine surgery" OR "spinal surgery" OR "discectomy" OR "decompression" OR "laminectomy" OR "interbody fusion" OR "pedicle screws." Detailed bibliometric and visual analysis of the number of publications, geographical distribution, institutions, journals, authors, and keywords was done using CiteSpace, VOSviewer, and R-Bibliometrix. Results: Of the initially screened 173 articles, we included 84 relevant articles-62 original articles, 10 editorial materials, 8 reviews, and 4 others. The United States, China, Egypt, and Argentina were most actively publishing in the field of spine surgery and COVID-19. The AOSpine International community contributed 7 articles (24 citations). The Hospital for Special Surgery (13.1%) and Johns Hopkins University (13.1%) were institutions with the most publications. Using the Law of Bradford, we found that World Neurosurgery, Global Spine Journal, and European Spine Journal are the core journals in this field, with P. K. Louie being the most influential author. "Elective surgery," "intensive care," "telehealth," "patient satisfaction," and "follow-up" had the strongest citation bursts. Conclusions: During the COVID-19 pandemic, spine surgeons were more concerned with surgical timing, care, treatment, and patient's quality of life. Accordingly, research hotspots in spine surgery during the pandemic shifted from "early healthcare" to "virus management" and "experience and education."
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Digital literacy is a multidimensional concept that encompasses a complex integration of knowledge, skills, attitudes, and cognition dimensions, which gains increased attention in the context of higher education. The objective of this study is to analyze the scientific production of digital literacy in higher education from 2012 to 2021 based on the Scopus database, and reveal the current research trends on this subject. To this end, a bibliometric study was carried out, which first investigated some variables that addressed different features, from the distribution of publications to the most productive countries/regions and the prolific publication venues, and continued with the analysis of the authors and the keywords co-occurrence through VOSviewer software. The results show that the most frequently explored themes in the area of digital literacy can be detected, which focused on the integration of digital technology, ontology research and the educational practices of digital literacy, and the effectiveness evaluation of digital literacy in the time of the COVID-19 pandemic. The findings of this study are beneficial for researchers to gain a comprehensive understanding of digital literacy in the domain of higher education, and provide new directions for future research © 2022, International Journal of Emerging Technologies in Learning.All Rights Reserved.
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This study analyzes the trends of studies on Ayurveda in Korea. Ayurveda is a natural healing system that heals the body, mind, and soul as a traditional medicine in India. The importance of natural healing is being emphasized more domestically and internationally, and various methods and healing theories that increase an individual's immunity are being re-evaluated. Against this background of the times, it is urgently necessary to analyze the trends of Ayurveda studies. This study used domestic journals and degree theses of the Research Information Sharing Service (RISS) from January 1997 to June. The data were searched through the keywords 'Ayurveda (Korean)' or "Ayurveda." For data analysis, descriptive statistical analysis was performed. As a result of the research, a total of 193 theses were published, including 57 master's theses, 28 doctoral theses, and 108 academic theses. Among the results, Mee-Sook Cheong (23 articles, 11.94%) wrote the most research papers. In terms of gender, there was a difference in the number of female researchers nearly three times that of male researchers. By the year, 2020 had the highest number of publications. In terms of study methods, there were many literature studies, followed by quantitative studies. By study institute, Changwon University produced the most master's theses and Dong-Bang Culture University had the most doctoral. In conclusion, what learned through this study was that the natural healing system of Ayurveda, a classical medicine, moved with the flow of time. The results can be concluded based on the trends of the condition of well-being and the trends within the condition of COVID-19. The results will also provide basic data for future researchers on trends in Ayurvedic studies. (c) 2022 The Authors. Published by IASE. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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This paper offers a systematic review of academic and practitioner-oriented literature on FinTech to determine the literature's existing scope and examine the intersection with work in the Information Systems (IS) field. Findings from our review show that the practitioner-oriented literature foreshadowed the rise of FinTech by extensively reporting on algorithm-based and electronic trading (2009 onwards), followed by reporting on FinTech start-ups and funding successes (2014 onwards). The practitioner literature subsequently reported on alternative finance models, the introduction of cryptocurrencies, and risks and regulatory issues. Academic literature on FinTech began to rise from 2014 onwards, focusing initially on the development of FinTech in the aftermath of the 2007-2008 global financial crisis. Research attention subsequently shifted to FinTech innovations (alternative finance, cryptocurrency and blockchain, machine-based methods for financial analysis and forecasting, including artificial intelligence), as well as risk and regulatory issues. IS work on FinTech started to emerge from 2015 onwards, initially focusing on mobile payment systems and peer-to-peer lending. However, the body of work at the intersection of FinTech and IS is still small. Our review sheds light on several opportunities for future research, including financial inclusion, the impacts arising from COVID-19, and the emergence of new business models, such as Banking as a Service (BaaS). © 2022 by the Association for Information Systems.
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New coronary pneumonia has attracted attention to telemedicine technology. It is a scientific research trend to develop an instrument that allows people to test their health. With the advent of the 5G era, the information rate is getting faster and faster, prompting the rise of some telemedicine industries. Because of the non-contact diagnosis, it provides people with a lot of convenience and protects people from the impact of new coronary pneumonia, it is safe and reliable. The technical field of the Telemedicine System relates to a telemedicine system, and particularly to a system with improved operability, suitable for home health monitoring. With the rapid development of science and technology, it is very important to study a set of equipment that can objectively detect pulse. The new coronary pneumonia has made the society aware of the vacancies in telemedicine technology, and the introduction of digital pulse diagnosis technology is non-contact, convenient and fast. The pulse measuring instrument is composed of a main control chip, a collection module, a signal module, an alarm module, and a display module;Compared with other types of designs, it has a simple, efficient, real-time display, and practical pulse test system, and has its own characteristics in terms of practicability and ease of operation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Researchers around the world have recently used data science and deep and machine learning to assess and combat the coronavirus disease 2019 (COVID-19). The results from this study have presented research on COVID-19 that applied data science, big data, machine learning, deep learning, artificial intelligence, and mathematic and statistical modeling between January 2020 and April 2020 by different researchers across disciplines from different countries of the world. It was noted that the prominent studies used various terms and keywords in COVID-19-related studies include 2019-nCoV, China, COVID-19, epidemic, remdesivir, SARS-CoV-2, coronavirus, epidemiology, infection 2019-nCoV, SARS coronavirus, angiotensin-converting enzyme 2, animal reservoir, cross-species transmission, and human-to-human transmission in COVID-19 studies between January and April 2020. The result reveals the relevance and percentage, as well as the distribution, of data science and modeling techniques used in COVID-19 research before 2020 and during the year 2020 (January to April 2020). More so, author keywords, both keywords, total articles, total citations, and h-index were identified. “Model” has the highest frequency with 19 papers, 11 total citations, and an h-index of 2;on the other hand, it appeared on number one on both keywords with 37 papers, 47 citations, and an h-index of 4. Bibliometrics generally applies Price’s law to estimate authors’ influence and output in a particular field of study, which can also determine the highest and lowest occurrence of important key terms. © 2022 Elsevier Inc.