Measuring originality in science
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DOI: 10.1007/s11192-019-03263-0
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Cited by:
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- Hou, Jianhua & Wang, Dongyi & Li, Jing, 2022. "A new method for measuring the originality of academic articles based on knowledge units in semantic networks," Journal of Informetrics, Elsevier, vol. 16(3).
- Boris Forthmann & Mark Leveling & Yixiao Dong & Denis Dumas, 2020. "Investigating the quantity–quality relationship in scientific creativity: an empirical examination of expected residual variance and the tilted funnel hypothesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2497-2518, September.
- Ruijie Wang & Yuhao Zhou & An Zeng, 2023. "Evaluating scientists by citation and disruption of their representative works," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1689-1710, March.
- Yuefen Wang & Lipeng Fan & Lei Wu, 2024. "A validation test of the Uzzi et al. novelty measure of innovation and applications to collaboration patterns between institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4379-4394, July.
- Zhentao Liang & Jin Mao & Gang Li, 2023. "Bias against scientific novelty: A prepublication perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 99-114, January.
- Narayanamurti, Venkatesh & Tsao, Jeffrey Y., 2024. "How technoscientific knowledge advances: A Bell-Labs-inspired architecture," Research Policy, Elsevier, vol. 53(4).
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Keywords
Scientific originality; Novelty; Network centrality; Citation network;All these keywords.
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