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How novelty in knowledge earns recognition: The role of consistent identities

Citations

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Cited by:

  1. Kuniko Matsumoto & Sotaro Shibayama & Byeongwoo Kang & Masatsura Igami, 2021. "Introducing a novelty indicator for scientific research: validating the knowledge-based combinatorial approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6891-6915, August.
  2. Charles Ayoubi & Michele Pezzoni & Fabiana Visentin, 2021. "Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding," Science and Public Policy, Oxford University Press, vol. 48(5), pages 635-648.
  3. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  4. Jian Du & Yishan Wu, 2018. "A parameter-free index for identifying under-cited sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 959-971, August.
  5. Deichmann, Dirk & Moser, Christine & Birkholz, Julie M. & Nerghes, Adina & Groenewegen, Peter & Wang, Shenghui, 2020. "Ideas with impact: How connectivity shapes idea diffusion," Research Policy, Elsevier, vol. 49(1).
  6. Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2024. "What makes econometric ideas popular: The role of connectivity," Research Policy, Elsevier, vol. 53(7).
  7. Yi Zhao & Chengzhi Zhang, 2025. "A review on the novelty measurements of academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 727-753, February.
  8. Nicolas Carayol, 2016. "The Right Job and the Job Right: Novelty, Impact and Journal Stratification in Science," Post-Print hal-02274661, HAL.
  9. Zhongyi Wang & Keying Wang & Jiyue Liu & Jing Huang & Haihua Chen, 2022. "Measuring the innovation of method knowledge elements in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2803-2827, May.
  10. Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2024. "What makes econometric ideas popular: The role of connectivity," LIDAM Reprints LFIN 2024004, Université catholique de Louvain, Louvain Finance (LFIN).
  11. Susan K. Cohen & Sean T. Hsu & Kristina B. Dahlin, 2016. "With Whom Do Technology Sponsors Partner During Technology Battles? Social Networking Strategies for Unproven (and Proven) Technologies," Organization Science, INFORMS, vol. 27(4), pages 846-872, August.
  12. Deyun Yin & Zhao Wu & Kazuki Yokota & Kuniko Matsumoto & Sotaro Shibayama, 2023. "Identify novel elements of knowledge with word embedding," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-16, June.
  13. Koppman, Sharon & Leahey, Erin, 2019. "Who moves to the methodological edge? Factors that encourage scientists to use unconventional methods," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  14. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
  15. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
  16. 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).
  17. Wuestman, Mignon & Wanzenböck, Iris & Frenken, Koen, 2023. "Local peer communities and future academic success of Ph.D. candidates," Research Policy, Elsevier, vol. 52(8).
  18. Buhr, Helena & Funk, Russell J. & Owen-Smith, Jason, 2021. "The authenticity premium: Balancing conformity and innovation in high technology industries," Research Policy, Elsevier, vol. 50(1).
  19. Lo, Jade Y. & Li, Haiyang, 2018. "In the eyes of the beholder: The effect of participant diversity on perceived merits of collaborative innovations," Research Policy, Elsevier, vol. 47(7), pages 1229-1242.
  20. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2024. "Research-targeting, spillovers, and the direction of science: Evidence from HIV research-funding," Research Policy, Elsevier, vol. 53(8).
  21. Brea, Edgar, 2024. "The yin yang of AI: Exploring how commercial and non-commercial orientations shape machine learning innovation," Research Policy, Elsevier, vol. 53(6).
  22. repec:osf:socarx:gcuhn_v1 is not listed on IDEAS
  23. Xu, Ran & Baghaei Lakeh, Arash & Ghaffarzadegan, Navid, 2021. "Examining the characteristics of impactful research topics: A case of three decades of HIV-AIDS research," Journal of Informetrics, Elsevier, vol. 15(1).
  24. Mignon Wuestman & Koen Frenken & Iris Wanzenböck, 2020. "A genealogical approach to academic success," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-16, December.
  25. Dehu Yin & Xi Zhang & Hongke Zhao & Li Tang, 2024. "Predicting scholar potential: a deep learning model on social capital features," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(12), pages 7851-7879, December.
  26. Hannes W. Lampe & Jan Reerink, 2021. "Know your audience: how language complexity affects impact in entrepreneurship science," Journal of Business Economics, Springer, vol. 91(7), pages 1025-1061, September.
  27. Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).
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