Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords. [PDF]
Int J Nurs Sci, 2023 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.
Yang K +6 more
europepmc +3 more sources
Mapping 20 years of accessibility research in HCI: A co-word analysis
International Journal of Human-Computer Studies, 2023 We employ hierarchical clustering, strategic diagrams, and network core-periphery analysis to assess and visualise the intellectual progress of accessibility research within HCI in the past two decades. The study quantifies and explains the development of accessibility research and its thematic evolution based on 1,535 papers published at TACCESS ...
Zhanna Sarsenbayeva +6 more
semanticscholar +6 more sources
Co-word Analysis using the Chinese Character Set [PDF]
Journal of the American Society for Information Science and Technology, 2009 AbstractUntil recently, Chinese texts could not be studied using co‐word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not
Loet Leydesdorff, Zhou Ping
core +7 more sources
Topic Analysis of Nursing Research Using Co-Word Analysis. [PDF]
Iran J Nurs Midwifery Res, 2021 Background: Nursing is one of the most important areas of medical sciences whose developments including its scientific publications can influence health care. Therefore, the aim of this study was to investigate nursing articles published from 2013 to 2018, and to provide a comprehensive view of common topical clusters in this ...
Khasseh AA, Amiri MR, Sadeghi A.
europepmc +4 more sources
A Co-word Analysis of Selected Science Education Literature: Identifying Research Trends of Scaffolding in Two Decades (2000-2019). [PDF]
Front Psychol, 2022 This study aims to identify research trends of scaffolding in the field of science education. To this end, both descriptive analysis and co-word analysis were conducted to examine the selected articles published in the Social Science Citation Index ...
Lin TC +4 more
europepmc +2 more sources
Mapping the Intellectual Structure of Medical Sociology: A Co-Word Analysis. [PDF]
Iran J Public Health, 2022 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 ...
Rohani A, Makkizadeh F.
europepmc +4 more sources
Mapping the intellectual structure of the coronavirus field (2000-2020): a co-word analysis. [PDF]
Scientometrics, 2021 Over the two last decades, coronaviruses have affected human life in different ways, especially in terms of health and economy. Due to the profound effects of novel coronaviruses, growing tides of research are emerging in various research fields.
Pourhatami A +5 more
europepmc +2 more sources
Blockchain technology in the renewable energy sector: A co-word analysis of academic discourse. [PDF]
HeliyonThe transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance energy efficiency, enable decentralized trading, and ensure transaction transparency.
Rejeb A +4 more
europepmc +2 more sources
The evolutionary path of medical waste management research: Insights from co-citation and co-word analysis. [PDF]
Waste Manag ResOver the past decades, medical waste management (MWM) has evolved into a paramount global challenge, intertwining environmental sustainability and public health dimensions.
Soyler A, Burmaoglu S, Kidak LB.
europepmc +2 more sources
Data for dynamical co-word analysis of science evolution
, 2012 This dataset proposes lists of multi-terms which are characteristic to domains of sciences (ex. 2000 terms about common in embryology research) and the co-occurrence of its items in the literature through time.
David Chavalarias +1 more
core +3 more sources