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Increasing trend of scientists to switch between topics

Citations

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Cited by:

  1. 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.
  2. Yi Zhang & Mengjia Wu & Guangquan Zhang & Jie Lu, 2023. "Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 775-790, July.
  3. Huang, Shengzhi & Huang, Yong & Bu, Yi & Luo, Zhuoran & Lu, Wei, 2023. "Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact," Journal of Informetrics, Elsevier, vol. 17(2).
  4. 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.
  5. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2024. "Do research assessment systems have the potential to hinder scientists from diversifying their research pursuits?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 5915-5935, October.
  6. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  7. Clémentine Cottineau, 2022. "What do analyses of city size distributions have in common?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1439-1463, March.
  8. Seokbeom Kwon & Kazuyuki Motohashi & Kenta Ikeuchi, 2022. "Chasing two hares at once? Effect of joint institutional change for promoting commercial use of university knowledge and scientific research," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1242-1272, August.
  9. Jianlin Zhou & Jinshan Wu, 2024. "Measuring hotness transfer of individual papers based on citation relationship," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6659-6674, November.
  10. Lubna Zafar & Nayyer Masood & Samreen Ayaz, 2023. "Impact of field of study (FoS) on authors’ citation trend," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2557-2576, April.
  11. Confraria, Hugo & Ciarli, Tommaso & Noyons, Ed, 2024. "Countries' research priorities in relation to the Sustainable Development Goals," Research Policy, Elsevier, vol. 53(3).
  12. Ma, Yinghong & Song, Le & Ji, Zhaoxun & Wang, Qian & Yu, Qinglin, 2020. "Scholar’s career switch adhesive with research topics: An evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
  13. 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).
  14. Zhao, Zhi-Dan & Chen, Jiahao & Lu, Yichuan & Zhao, Na & Jiang, Dazhi & Wang, Bing-Hong, 2021. "Dynamic patterns of open review process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
  15. Li, Heyang & Wu, Meijun & Wang, Yougui & Zeng, An, 2022. "Bibliographic coupling networks reveal the advantage of diversification in scientific projects," Journal of Informetrics, Elsevier, vol. 16(3).
  16. Cui, Haochuan & Zeng, An & Fan, Ying & Di, Zengru, 2021. "Quantifying the impact of a teamwork publication," Journal of Informetrics, Elsevier, vol. 15(4).
  17. Guo, Liying & Wang, Yang & Li, Meiling, 2024. "Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund," Journal of Informetrics, Elsevier, vol. 18(2).
  18. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
  19. Zhang, Lin & Qi, Fan & Sivertsen, Gunnar & Liang, Liming & Campbell, David, 2023. "Gender differences in the patterns and consequences of changing specialization in scientific careers," SocArXiv ep5bx, Center for Open Science.
  20. Hongyu Zhou & Ke Dong & Yikun Xia, 2023. "Knowledge inheritance in disciplines: Quantifying the successive and distant reuse of references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(13), pages 1515-1531, December.
  21. Ebadi, Ashkan & Tremblay, Stéphane & Goutte, Cyril & Schiffauerova, Andrea, 2020. "Application of machine learning techniques to assess the trends and alignment of the funded research output," Journal of Informetrics, Elsevier, vol. 14(2).
  22. Ning-Ning Wang & Zhen Jin & Xiao-Long Peng, 2019. "Community Detection with Self-Adapting Switching Based on Affinity," Complexity, Hindawi, vol. 2019, pages 1-16, November.
  23. Yu, Xiaoyao & Szymanski, Boleslaw K. & Jia, Tao, 2021. "Become a better you: Correlation between the change of research direction and the change of scientific performance," Journal of Informetrics, Elsevier, vol. 15(3).
  24. Zhang, Yang & Wang, Yang & Du, Haifeng & Havlin, Shlomo, 2024. "Delayed citation impact of interdisciplinary research," Journal of Informetrics, Elsevier, vol. 18(1).
  25. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
  26. Ma, Guoshuai & Yuhua, Qian & Zhang, Yayu & Yan, Hongren & Cheng, Honghong & Hu, Zhiguo, 2022. "The recognition of kernel research team," Journal of Informetrics, Elsevier, vol. 16(4).
  27. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
  28. Xing, Yanmeng & Wang, Fenghua & Zeng, An & Ying, Fan, 2021. "Solving the cold-start problem in scientific credit allocation," Journal of Informetrics, Elsevier, vol. 15(3).
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