Pandemics are catalysts of scientific novelty: Evidence from COVID‐19
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DOI: 10.1002/asi.24612
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- Chen, Wei & Yan, Yan, 2023. "New components and combinations: The perspective of the internal collaboration networks of scientific teams," Journal of Informetrics, Elsevier, vol. 17(2).
- Li, Jing & Yu, Qian, 2024. "Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective," Journal of Informetrics, Elsevier, vol. 18(1).
- Hu, Guangyuan & Ni, Rong & Tang, Li, 2022. "Do international nonstop flights foster influential research? Evidence from Sino-US scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
- Yining Wang & Qiang Wu & Liangyu Li, 2024. "Examining the influence of women scientists on scientific impact and novelty: insights from top business journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3517-3542, June.
- 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.
- Meijun Liu & Sijie Yang & Yi Bu & Ning Zhang, 2023. "Female early-career scientists have conducted less interdisciplinary research in the past six decades: evidence from doctoral theses," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
- Alex J. Yang & Huimin Xu & Ying Ding & Meijun Liu, 2024. "Unveiling the dynamics of team age structure and its impact on scientific innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6127-6148, October.
- Chao Yu & Chuhan Wang & Tongyang Zhang & Yi Bu & Jian Xu, 2024. "Analyzing research diversity of scholars based on multi-dimensional calculation of knowledge entities," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7329-7358, November.
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