Topic evolution, disruption and resilience in early COVID-19 research
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DOI: 10.1007/s11192-021-03946-7
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- Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Seyyed Reza Taher Harikandeh & Sadegh Aliakbary & Soroush Taheri, 2023. "An embedding approach for analyzing the evolution of research topics with a case study on computer science subdomains," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1567-1582, March.
- Török, Ádám & Konka, Boglárka & Nagy, Andrea Magda, 2023. "A koronavírus-járvány a közgazdasági szakirodalomban. Egy új határterület tudománymetriai elemzése [The coronavirus pandemic in the economics literature. The scientometric analysis of a new discipl," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 284-304.
- Zhentao Liang & Jin Mao & Kun Lu & Gang Li, 2021. "Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9519-9542, December.
- Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha, 2022. "Awakening sleeping beauties during the COVID-19 pandemic influences the citation impact of their references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6047-6050, October.
- Rubini, Lauretta & Pollio, Chiara & Barbieri, Elisa & Cattaruzzo, Sebastiano, 2024. "Changing structures in transnational research networks: An analysis of the impact of COVID-19 on China's scientific collaborations," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 281-297.
- Ariadna Linda Bednarz & Marta Borkowska-Bierć & Marek Matejun, 2021. "Managerial Responses to the Onset of the COVID-19 Pandemic in Healthcare Organizations Project Management," IJERPH, MDPI, vol. 18(22), pages 1-25, November.
- Mengjia Wu & Yi Zhang & Mark Markley & Caitlin Cassidy & Nils Newman & Alan Porter, 2024. "COVID-19 knowledge deconstruction and retrieval: an intelligent bibliometric solution," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7229-7259, November.
- Thea Paeffgen, 2022. "Organisational Resilience during COVID-19 Times: A Bibliometric Literature Review," Sustainability, MDPI, vol. 15(1), pages 1-29, December.
- Ivan Heibi & Silvio Peroni, 2021. "A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8433-8470, October.
- Yujie Zhang & Hongzhen Li & Jingyi Mao & Guoxiu He & Yunhan Yang & Zhuoren Jiang & Yufeng Duan, 2023. "COVID-19: a disruptive impact on the knowledge support of references," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4791-4823, August.
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Keywords
COVID-19; Topic analysis; Science; Research and development; International collaboration.;All these keywords.
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