Incorporating gendered analysis and flexibility in heavy work investment studies: a systematic literature review.

Introduction: Significant impacts of heavy work investment on employee well-being and organizational performance have prompted its increasing importance as a research topic. The findings about good or evil of these repercussions are nonetheless inconclusive. The intersection of Heavy Work Investment construct with gender has not been explicitly addressed by previous literature review and research. Besides, the relevance of flexibility for women, as one of the key factors for successful work-family balance management, still remains to be analyzed. Methods: A literature review on Heavy Work Investment was conducted using the SPAR-4-SLR protocol, wherein 83 articles were selected from a pool of 208 previously identified works. Bibliometric and content analysis techniques were employed, including co-word analysis, to evaluate research production, impact, and trends in the gender perspective within Heavy Work Investment. Results: As a result, a strategic diagram illustrates thematic topics, providing a clear understanding of the field's structure and evolution. Six thematic groups were identified, around work-family conflict as the central theme. Discussion: The explicit consideration of a gender perspective in literature involves nuanced differences regarding the conclusions of studies with a broader focus. First, the emerging prominence of studies on China and Japan becomes clear with gender as the specific focus of the review, aiming to clarify the experiences women face in more traditional societies with a more decisive division of roles. Second, there is a shift in interest regarding the analysis of Job Demands and Job Resources. Despite the apparent decline in interest in the former, the focus in gender literature clearly shifts toward the side of Job Resources, showing potential for the future. It could be understood that in a context of talent war and employee retention efforts, priority is given to better understanding of facilitating individual and organizational factors for work-life balance, especially for women. Future research areas are identified, including gender differences in organizational support and the impact of flexible work on the work-life balance, providing valuable insights for academia, practitioners, and organizations. The need for more comprehensive cross-cultural and gender research is also made clear.

Mapping the evolution of neurofeedback research: a bibliometric analysis of trends and future directions.

Introduction: This study conducts a bibliometric analysis on neurofeedback research to assess its current state and potential future developments. Methods: It examined 3,626 journal articles from the Web of Science (WoS) using co-citation and co-word methods. Results: The co-citation analysis identified three major clusters: "Real-Time fMRI Neurofeedback and Self-Regulation of Brain Activity," "EEG Neurofeedback and Cognitive Performance Enhancement," and "Treatment of ADHD Using Neurofeedback." The co-word analysis highlighted four key clusters: "Neurofeedback in Mental Health Research," "Brain-Computer Interfaces for Stroke Rehabilitation," "Neurofeedback for ADHD in Youth," and "Neural Mechanisms of Emotion and Self-Regulation with Advanced Neuroimaging. Discussion: This in-depth bibliometric study significantly enhances our understanding of the dynamic field of neurofeedback, indicating its potential in treating ADHD and improving performance. It offers non-invasive, ethical alternatives to conventional psychopharmacology and aligns with the trend toward personalized medicine, suggesting specialized solutions for mental health and rehabilitation as a growing focus in medical practice.

Three decades of research on wine marketing.

The goal of this study is to provide a comprehensive review of the academic research into wine marketing over the last three decades. Data from 1135 wine marketing-related research documents published 1990-2022 in the Web of Science and Scopus databases were employed. Using mainly co-word analysis and bibliographic coupling, the key themes of the discipline were identified. A longitudinal analysis identified the topic's evolution and current research trends. Results show that wine marketing research has grown sharply in recent years. From the pioneering studies that examined consumers' behaviours and wine price drivers, the discipline evolved to address burgeoning themes such as sustainability, social media (digital marketing) and wine tourism, which evidences the interest that academics have shown in enhancing knowledge in the area.

Understanding the knowledge structure and the value creation process of the metaverse.

The metaverse is a digital space that empowers users to interact socially, using new and specific technologies, to generate value and co-create experiences. This paper provides a framework for organising the themes discussed in pioneering literature. An adaptation of the PRISMA process was used to explain the methodology applied. The results showed that more than 84 % of studies on the metaverse have been published since 2020. Technologies such as augmented reality and artificial intelligence are positioned as the basic themes, and decision-making and human-machine interface are emerging themes. This paper constitutes an original contribution as it also presents the highlights and structure of the main themes on metaverse. Additionally, it develops an analytical framework for understanding the metaverse value creation. Therefore, this paper represents a starting point for a reflection on the applications of the metaverse that can contribute to the achievement of productive and valuable progress in various fields of research.

The evolution of smart hotels: A bibliometric review of the past, present and future trends.

This study provides a bibliometric analysis of smart hotel research, drawing from 613 publications in the Web of Science (WoS) database to examine scholarly trends and developments in this dynamic field. Smart hotels, characterized by integrating advanced technologies such as AI, IoT, cloud computing, and big data, aim to redefine customer experiences and operational efficiency. Utilizing co-citation and co-word analysis techniques, the research delves into the depth of literature from past to future trends. In co-citation analysis, clusters including "Sustainable Hotel and Green Hotel", "Theories Integration in Smart Hotel Research", and "Consumers' Decisions about Green Hotels" underscore the pivotal areas of past and current research. Co-word analysis further reveals emergent trend clusters: "The New Era of Sustainable Tourism", "Elevating Standards and Guest Loyalty", and "Hotels' New Sustainable Blueprint in Modern Travel". These clusters reflect the industry's evolving focus on sustainability and technology-enhanced guest experiences. Theoretically, this research bridges gaps in smart hotel literature, proposing new frameworks for understanding customer decisions amid technological advancements and environmental responsibilities. Practically, it offers valuable insights for hotel managers, guiding technology integration strategies for enhanced efficiency and customer loyalty while underscoring the critical role of green strategies and sustainability.

A bibliometric analysis of metastatic breast cancer: two-decade report (2002-2022).

Background: MBC is a lethal form of breast cancer that arises when cancer cells invade other organs or tissues. The treatment of MBC needs personalized approaches based on the tumor and patient characteristics. The purpose of this paper is to analyze MBC studies from 2002 to 2022 using bibliometrics and to investigate its current situation, main contributors, core journals, highly cited papers, and topic evolution. Materials and methods: We retrieved data from Web of Science Core Collection (WOSCC). Bibliometric analysis of the included literatures mainly used the following tools: the function of "analyze results" and "citation report" in WoS, Microsoft excel 2021, CiteSpace v.6.1. R6, VOSviewer v.1.6.18, BICOMB v.2.04 and gCLUTO v.1.0. Results: We found 12,653 articles on MBC research published in 1, 802 journals by 69, 753 authors from 118 countries. The annual output and citation of MBC articles showed a rising trend over time. The United States was the most influential country in MBC research. The most cited journal in this field was The Journal of Clinical Oncology. And the most cited article was by Slamon DJ. The co-word analysis of keywords divides MBC into six research clusters. The hormone receptor-positive MBC and liquid biopsy of MBC are the frontiers research trends. "CDK4/6 inhibitor" had the highest burst strength. Conclusion: Our bibliometric analysis offers a comprehensive overview of MBC research in the past two decades. It shows the current situation, main contributors, core journals, highly cited papers, and topic evolution of this field. Our study can assist researchers and practitioners to comprehend the development and trends of MBC research and to discover potential directions for future research.

Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords.

Objectives: To analyze and summarize the research hotspots and advancement of post-traumatic growth (PTG) over the past 15 years based on co-word analysis of keywords, and provide references for PTG-related research and clinical intervention. Methods: All studies related to PTG were retrieved from PubMed and Web of Science (WOS) from January 2013 to July 2022. A total of 11 Medical Subject Headings (MeSH) and keywords were used to identify qualified studies. Bibliographic Item Co-occurrence Matrix Builder (BICOMB; version 2.0) was used to conduct high-frequency keywords extraction and matrix setup, Graphical Clustering Toolkit (gCLUTO; version 1.0) was employed to perform clustering analysis, and SPSS (version 25.0) was used to carry out strategic diagram analysis. Results: A total of 2,370 publications were selected, from which 38 high-frequency keywords were extracted. The results revealed six research hotspots on PTG during the period from 2013 to 2022, including research on i) emotional reactions after negative life events, ii) PTG among cancer survivors, iii) rumination and resilience after trauma, iv) PTG among children and adolescents, v) role of social support and coping strategy in PTG, and vi) association between PTG and quality of life. Conclusions: This co-word analysis effectively reveals an overview of PTG over the past 15 years. The six research categories deduced from this study can reflect that the research content in the field of PTG is abundant, but some research topics have not yet been mature. The findings of this study are of great value to future investigations associated with PTG.

Exploring the research landscape of COVID-19-induced olfactory dysfunction: A bibliometric study.

Since the outbreak of COVID-19, olfactory dysfunction (OD) has become an important and persistent legacy problem that seriously affects the quality of life. The purpose of this paper is to quantitatively analyze and visualize the current research status and development trend of COVID-19 related OD by using VOSviewer software. Based on the Web of Science database, a total of 1,592 relevant documents were retrieved in January 2023, with publication time spanning from 2020 to 2023. The bibliometric analysis revealed that the most influential research results in the field of COVID-19 related OD were concentrated in journals of related disciplines such as otorhinolaryngology, medicine, general and internal, virology, neurosciences, etc. The knowledge base of the research is mainly formed in two fields: COVID-19 clinical research and OD specialized research. The research hotspots are mainly concentrated in six directions: COVID-19, long COVID, smell, anosmia, OD, and recovery. Based on the results of the bibliometric analysis, the temporal trends of COVID-19 related OD studies were visually revealed, and relevant suggestions for future research were proposed.

Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research-A bibliometric review of green and sustainable business models.

Over the last two decades, green and sustainable business models (GnSBMs) have become a prominent topic of discussion among scholars, practitioners and policymakers. Preponderance of research and an increasing global pressure to adopt GnSBMs necessitate a comprehensive understanding of the state of research on GnSBMs. Towards this end, we extracted 851 publications on GnSBMs from the Scopus database and employed a series of bibliometrical techniques to: (1) explore the historical roots and sleeping beauties, (2) assess the life cycle, (3) map the conceptual evolution and (4) propose a research agenda for this growing field. Our analysis revealed that research on GnSBMs is moving from a multidisciplinary to an interdisciplinary domain. Its historical roots can be traced to the pioneering works on business strategy in the 1950s, environmental science in the early 1960s and stakeholder theory in the 1980s. Life cycle analysis indicated that research on GnSBM went through an introductory stage from 2002 to 2013 and then began to rapidly grow in 2014, and this growth is forecast to continue until circa 2040. The conceptual structures from 2002 to 2013 and 2014 to 2020 were mapped and an agenda for future research was proposed. Supplementary Information: The online version contains supplementary material available at 10.1007/s11192-022-04577-2.

The long process by which HTA became a paradigm: A longitudinal conceptual structure analysis.

This study maps the conceptual structure of health technology assessment (HTA) research with the aim of contributing to a better understanding of this research stream. A bibliometric analysis of 1,198 HTA articles retrieved from the Web of Science database was conducted. The analysis of descriptive performance indicators identified the main traits of the scientific debate about the HTA in terms of publications, productive countries, and sources. A co-word analysis was performed by adopting social network analysis tools to map the conceptual structure of the dataset. The results highlight the growing academic interest in the research topic, especially in recent years. The results revealed that HTA is a widely known term and represents the reference paradigm for assessment in healthcare technologies. This paper contributes to the field by providing an examination of the current state of the art of HTA research and identifying possible future research directions. This study differs from existing studies because it involved a conceptual analysis of the scientific literature using macro keywords.

Co-word Analysis of the Current Situation of Narrative Medicine Research in China in the Past Decade / 中国医学伦理学

【Objective:】 The co-word analysis method was used to analyze narrative medical literature studied in China in the past 10 years to explore the research status in this field and lay a foundation for further research. 【Methods:】 Using "narrative medicine" as the theme term, with the limited time interval of 2013—2022 to retrieve for relevant literature in CNKI, Wanfang, and VIP databases, and include literature that meets the research standards. Bicomb2 was used to perform keyword statistics and analysis on the downloaded literature. Ucinet6.0 and Netdraw were used to draw co-occurrence analysis graphs to visualize the co-occurrence relationship between high-frequency keywords. 【Results:】 A total of 565 papers were included and 31 high-frequency keywords were extracted. The co-occurrence relationship diagrams showed that the current research hotspots of narrative medicine in China include traditional Chinese medicine, nursing, general practice, evidence-based medicine, medical ethics, hospice care, chronic diseases, cancer and other popular disciplines and diseases. Most of them were about enhancing the empathy and humanistic caring ability of medical personnel and improving doctor-patient communication to improve the doctor-patient relationship, as well as doing well in medical humanities education and cultivating narrative ability through parallel medical records and reflective writing. The research on gerontology, improving the professional identity of medical staff, integrating literature and medicine, and the impact on patients were relatively few. 【Conclusion:】 At present, narrative medicine in China has achieved many achievements in fields such as nursing, traditional Chinese medicine, general practice medicine, chronic diseases, cancer, medical humanities education, and improving doctor-patient relationships. In the future, in-depth exploration can be conducted from the use of narrative medicine in multi-disciplinary and disease fields, trying different training methods, and synchronous cultivation of teachers and students, so as to build a more comprehensive narrative medicine system.

Research Status and Suggestion of Drug Clinical Trial Risk Management in China: Based on Co-word Analysis and Social Network Analysis Perspective / 中国医学伦理学

【Objective:】 To deeply understand the current situation and hotspots of drug clinical trials risk management in China. 【Methods:】 Co-word analysis and social network analysis were used to sort out the study results of risk management in drug clinical trials in China. 【Results:】 The trend of risk research of drug clinical trials in China was generally on the rise. The research hotspots focused on four areas: drug supervision and pharmacovigilance, risk management of drug clinical trial institutions, ethical review of drug clinical trials, and risk management of drug clinical trials. 【Conclusion:】 In the future, China should gradually improve the risk management system and supervision system of drug clinical trials, explore to establish a risk-based quality management and ethical review system of drug clinical trials, and enhance the risk assessment and coping ability of institutions.

A Bibliometric-Based Analytical Framework for the Study of Smart City Lifeforms in China.

Smart cities are the future development direction of cities and are a comprehensive expression of the development of the organic life body of cities. The organic life form of a smart city relates to viewing the city as an organic life self-organizing system based on the wholeness and systemic nature of the smart city life form itself, to construct a holistic spatial linkage of the functions and mechanisms of the city life system, and to enhance the overall vitality of the space. This study is based on the literature of "smart city" research in the China National Knowledge Infrastructure (CNKI) database, and the current situation and related themes of smart city research in China are discussed through co-word analysis and cluster analysis using software such as SPSS and VOSviewer, among which there are four themes in co-word cluster analysis, namely, intelligent technology supporting smart city research; research on the integration of the social system of a smart city; research on the top-level strategic design and planning and construction of a smart city; and research on the development, evaluation, and concrete practice of smart city construction. Four conclusions are drawn from the development of smart city research in China: Firstly, smart city research has attracted the attention of multiple disciplines, and the research themes are scattered and integrated across disciplinary systems. Secondly, smart city construction, development rules, and characteristics need to be further explored, and the problems, future trends, and policy support for the modernization of China's cities and towns have been focused on engineering and technology, with a lack of practical research in non-technical areas such as humanities and ethics. Thirdly, the philosophical humanism and ecological ethics of smart cities need to be systematized, and their construction and development needs to be humanistic, systematic, and comprehensive, thus contributing to the sustainability, livability, ecology, and wisdom of future urban development. Fourthly, the development of the smart city system is supported by theories related to global cities and innovative cities, and the world city, a product of globalization, is undergoing a transformation into a digital and intelligent organic urban life form.

Mapping the Intellectual Structure of Medical Sociology: A Co-Word Analysis.

Background: Medical sociology is concerned with the relationship between social factors and health, and with the application of sociological theory and research techniques to questions related to health and the health care system. Considering the wide range of studies in the field that each examined different aspects, to promote health in community, bibliometrics analysis in this area is felt. Methods: In this descriptive-analytical study with a scientometric approach, the data about "medical sociology" were retrieved from PubMed in MEDINE format, including 1226 records over the period 1945-2018. By using Co-word analysis, clustering methods, and strategic diagram with the help of SPSS, UcInet 6 software the data were analyzed. Results: The keyword "Attitude to Health" and two pairs of frequently used keywords, namely "Power (Psychology)*Professional Autonomy" were the most frequent in medical sociology. The results shaped the concepts of medical sociology in 7 clusters. The clusters "Attitude of health personnel", "Health Policy" and "Sociology of Medical Education" are topics that may be emerging or disappearing. The "Physicians", "Models of Social Determinants of Health" and "medical philosophy" are immature clusters. Conclusion: This research used co-word networks that indicate the important links between keywords of research areas. Considering the frequency of keywords along with the clusters obtained, it seems that the most research approach was seen on the medical aspect rather than the sociological aspect. Despite the importance of sociological aspects such as social rooting of disease, sociability, medicine as a social institution and etiological studies, these subjects have not been sufficiently considered.

Thematic trends and knowledge structure map of sentinel lymph node biopsy for breast cancer: a bibliometric analysis from 2010 to 2019.

Background: Breast cancer is the leading cancer-related deaths among women. Although great progress has been made in clinical surgical treatment, it is still urgently needed to look for a treatment model with smaller wounds, lower damage, and a better prognosis. Sentinel lymph node biopsy (SLNB) is a minimally invasive technique for breast cancer treatment, which can correctly assess the patients' condition, prognosis, and treatment response. Methods: We performed a PubMed-based bibliometric analysis to investigate publication trends of SLNB in breast cancer and determined the annual distribution of annual publication numbers, countries, authors, languages, journals, and high-frequency major Medical Subject Headings (MeSH) terms. Results: The results showed that the literature on SLNB in breast cancer has shown an upward trend, and stabilized with the most English literature in the past decade at least. The United States was the country with the most publications from 2010 to 2019. M Ahemd was the first-author who had published the most documents related to SLNB in breast cancer since 2010. The most high-frequency main MeSH words were breast neoplasms/pathology, breast neoplasms/surgery and SLNB. Conclusions: Through bicluster analysis, we divided the related articles of SLNB in breast cancer field from 2010 to 2019 into 4 clusters. Among them, indications for SLNB in breast cancer and detection of lymph node metastases and tracking methods for SLNB were considered to be current research hotspots, while assessment of axillary lymph nodes in neoadjuvant chemotherapy and application of SLNB was a potential hotspot.

Mapping the structure of depression biomarker research: A bibliometric analysis.

Background: Depression is a common mental disorder and the diagnosis is still based on the descriptions of symptoms. Biomarkers can reveal disease characteristics for diagnosis, prognosis, and treatment. In recent years, many biomarkers relevant to the mechanisms of depression have been identified. This study uses bibliometric methods and visualization tools to analyse the literature on depression biomarkers and its hot topics, and research frontiers to provide references for future research. Methods: Scientific publications related to depression biomarkers published between 2009 and 2022 were obtained from the Web of Science database. The BICOMB software was used to extract high-frequency keywords and to construct binary word-document and co-word matrices. gCLUTO was used for bicluster and visual analyses of high-frequency keywords. Further graphical visualizations were generated using R, CiteSpace and VOSviewer software. Results: A total of 14,403 articles related to depression biomarkers were identified. The United States (34.81%) and China (15.68%), which together account for more than half of all publications, can be considered the research base for the field. Among institutions, the University of California, University of London, and Harvard University are among the top in terms of publication number. Three authors (Maes M, Penninx B.W.J.H., and Berk M) emerged as eminent researchers in the field. Finally, eight research hotspots for depression biomarkers were identified using reference co-citation analysis. Conclusion: This study used bibliometric methods to characterize the body of literature and subject knowledge in the field of depression biomarker research. Among the core biomarkers of depression, functional magnetic resonance imaging (fMRI), cytokines, and oxidative stress are relatively well established; however, research on machine learning, metabolomics, and microRNAs holds potential for future development. We found "microRNAs" and "gut microbiota" to be the most recent burst terms in the study of depression biomarkers and the likely frontiers of future research.

Exploring the past, present, and future of the mindfulness field: A multitechnique bibliometric review.

This paper provides an overview of the mindfulness literature up until the end of 2020 by (a) uncovering its underlying intellectual structure, (b) identifying the most influential and popular themes, and (c) presenting new directions for future research on mindfulness. To this end, a systematic quantitative review based on bibliometric methods was conducted, which is perhaps less prone to researcher bias and can complement existing meta-analyses and qualitative (narrative) structured reviews as an objective approach. Three bibliometric techniques-document co-citation analysis, co-word (co-occurrence and content) analysis, and bibliographic coupling-were applied to explore the past, present, and future of mindfulness research. The co-citation analysis showed that measurement, mechanisms, mindfulness-based interventions, and examinations of the efficacy of mindfulness interventions are among the key theoretical knowledge bases from which the field of mindfulness is derived. The content analysis demonstrated the beneficial effects of mindfulness meditation for physical and mental health conditions. The bibliographic coupling revealed novel directions in cognitive behavioral therapy, emotion regulation, the application of mindfulness practice to children and adolescents, mindfulness at work, and the role of mindfulness in positive psychology. The large sample of articles that was analyzed allowed us to provide a broader and more objective overview than possible with other forms of literature reviews. The combination of the three bibliometric techniques granted deeper insights into the complex multidisciplinary field of mindfulness, along with specific suggestions for future research.

Conceptual structure of balanced scorecard research: A co-word analysis.

The present research aims to examine the conceptual structure of balanced scorecard (BSC) research from its inception (1992) to the end of 2020. After a review of the BSC literature, co-word analysis and social network analysis are used to analyze the data. The results show that 3742 documents have been published between 1992 and 2020 with 2638 distinctive keywords. The most frequently used keywords are "Balanced Scorecard", "Management", "Performance", "Framework" and "Strategy". Moreover, the article "The Balanced Scorecard: Measures That Drive Performance" with 4253 citations, was the most frequently cited article and "Robert Kaplan" with 16 documents and 8063 citations was the top author in terms of citation count and the number of documents. The United States is the top country with 486 documents and 18,805 citations. In addition, the journal "Total Quality Management and Business Excellence" is the most prolific journal with 50 articles, and the journal "Harvard Business Review" with 7778 citations, is the top journal in the number of citations. "Islamic Azad University of Iran" is the top university in the world with 57 documents. The most common keyword in Asia, Europe, North America, South America, and Oceania is "Balanced Scorecard". The results of this study provide an overview of the state of BSC literature and can enable researchers to identify and develop ideas for future research.

Evolutionary Overview of Terrace Research Based on Bibliometric Analysis in Web of Science from 1991 to 2020.

Based on the Web of Science core collection database, this paper retrieves 349 research papers on terraced fields published during 1991-2020. Keyword co-occurrence analysis, cluster analysis, and thematic evolutionary analysis were used to identify the evolutionary path of terrace research. The findings were as follows: (1) In the past 20 years, the study of terraced fields has shown an upward trend. The number of annual published papers during 2012-2020 was much more than that during 1991-2011, but papers during 1991-2011 were more academically influential than those during 2012-2020. (2) Regional analysis showed that terrace research in China is the most abundant currently, and is mainly focused on agricultural production, agricultural engineering, cultural tourism, and ecological environment. (3) Keyword co-occurrence analysis showed that terrace landscape, terrace agriculture, terrace abandonment, land use change, soil and water conservation, and sustainable utilization of typical terraces are the main modules of current terrace studies. (4) In a temporal dynamic perspective, terrace research presented 10 main evolutionary paths during 1991-2020, reflecting the trend of terrace research towards sustainable terrace development of ecological agriculture and ecosystem service. (5) Finally, this paper suggests that here is a need to deepen studies on terrace ecosystem services and human well-being based on their structure and processes, to analyze the interaction and comprehensive effect of natural process and humanistic driving forces on terrace abandonment, and to explore the multi-functional benefits and sustainable management of high quality terraced landscape.

Mapping the research hotspots and theme trends of simulation in nursing education: A bibliometric analysis from 2005 to 2019.

BACKGROUND: Simulation-based nursing training has been used incorporated into nursing education for decades, however, there is limited information related to simulation research hotspots and theme trends over time. OBJECTIVES: To investigate the research hotspots and theme trends of simulation in nursing education through bibliometric analysis. METHODS: Relevant articles on simulation in nursing education published between 2005 and 2019 were retrieved from PubMed. The Bibliographic Item Co-occurrence Matrix Builder (BICOMB) was used to extract and quantitatively analyze the Medical Subject Headings (MeSH) terms and subheadings. The biclustering analysis was conducted using gCluto1.0 to identify the research hotspots. A strategic diagram was employed to reveal the development trend of the theme. RESULTS: A total of 4102 publications were retrieved from PubMed showing an overall increasing trend. Based on the results, the United States was the most productive country (2868,55.7 %), the journal Nurse Education Today journal was the top journal concerning this field, and Cooper SJ and Holtschneider ME were authors with the highest number of publications on this topic. Quantitative and co-word biclustering analyses were used in this study. The research hotspots in recent 5 years were focused on: (1) interprofessional simulation in patient-care teams; (2) patient simulation in psychiatric nursing education; (3) virtual reality simulation (VRS) in midwifery and nursing education; (4) simulation in critical care nurses' continuing education/training, and (5) simulation in pediatric resuscitation education. The strategic diagram showed that the VRS in midwifery and nursing education might have a significant potential to become an emerging hotspot soon. CONCLUSION: The research literature production of simulation in nursing education was increasing over the past 15 years. Through co-word biclustering analysis, five research hotspots were identified. Among them, simulation in psychiatric education and critical care continuing education had a central priority that researchers should pay further attention to, and VRS could be the major trend for future study. Furthermore, this study described the overall range of research interests and provided ideas for innovative and efficient research projects.