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Breakthrough recognition: Bias against novelty and competition for attention

Citations

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Cited by:

  1. Belkhouja, Mustapha & Fattoum, Senda & Yoon, Hyungseok (David), 2021. "Does greater diversification increase individual productivity? The moderating effect of attention allocation," Research Policy, Elsevier, vol. 50(6).
  2. Libo Sheng & Xuanmin Ruan & Yi Wang & Dongqing Lyu & Ying Cheng, 2025. "Interpretable XGBoost-SHAP machine learning model for identifying scientific breakthroughs," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(12), pages 6801-6832, December.
  3. Li, Xin & Ma, Xiaodi & Feng, Ye, 2024. "Early identification of breakthrough research from sleeping beauties using machine learning," Journal of Informetrics, Elsevier, vol. 18(2).
  4. Michaël Bikard & Matt Marx, 2020. "Bridging Academia and Industry: How Geographic Hubs Connect University Science and Corporate Technology," Management Science, INFORMS, vol. 66(8), pages 3425-3443, August.
  5. Wang, Shanshan & Li, Jing & Zhao, Tianyi, 2025. "Participation in standardization and firm innovation performance: A polynomial regression with response surface analysis," Journal of Business Research, Elsevier, vol. 201(C).
  6. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
  7. Sam Arts & Nicola Melluso & Reinhilde Veugelers, 2023. "Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication Text," Papers 2309.16437, arXiv.org, revised Dec 2024.
  8. Conor O’Kane & Jing A. Zhang & Jarrod Haar & James A. Cunningham, 2023. "How scientists interpret and address funding criteria: value creation and undesirable side effects," Small Business Economics, Springer, vol. 61(2), pages 799-826, August.
  9. Saïd Unger & Lukas Erhard & Oliver Wieczorek & Christian Koß & Jan Riebling & Raphael H Heiberger, 2022. "Benefits and detriments of interdisciplinarity on early career scientists’ performance. An author-level approach for U.S. physicists and psychologists," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-20, June.
  10. Wang, Tao & Wang, Jiajie & Shi, Jing & Sun, Jianjun & Kang, Lele, 2025. "Technological recombinant strategy and breakthrough innovation of team: The moderating role of science linkage," Journal of Informetrics, Elsevier, vol. 19(1).
  11. 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.
  12. Luke Rhee & Paul Leonardi, 2024. "Borrowing networks for innovation: The role of attention allocation in secondhand brokerage," Strategic Management Journal, Wiley Blackwell, vol. 45(7), pages 1326-1365, July.
  13. Md. Yahin Hossain & Zhiqiang Liu & Nilesh Kumar, 2020. "How does self-performance expectation foster breakthrough creativity in the employee's cognitive level? An application of self-fulfilling prophecy," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(5), pages 116-128, September.
  14. Varshney, Mayank, 2023. "Learning-by-hiring: How do rival firms learn from focal firm's hiring," Research Policy, Elsevier, vol. 52(2).
  15. Yuanyuan Zhou & Jiaojiao Ji, 2025. "The impact of scientific articles on Chinese social media: examining its correlation with novelty and citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(8), pages 4591-4619, August.
  16. Guoqiang Liang & Haiyan Hou & Qiao Chen & Zhigang Hu, 2020. "Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 219-232, July.
  17. 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).
  18. Pan, Tianxing, 2026. "The hidden knowledge flow in multilayer networks," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).
  19. Zhaoping Yan & Kaiyu Fan, 2024. "An integrated indicator for evaluating scientific papers: considering academic impact and novelty," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6909-6929, November.
  20. Chen, Qian & Magnusson, Mats & Björk, Jennie, 2023. "Selection bias of ideas for sustainability-oriented innovation in internal crowdsourcing," Technovation, Elsevier, vol. 124(C).
  21. Anne Greul & Tim G Schweisfurth & Christina Raasch, 2023. "Does familiarity with an idea bias its evaluation?," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-13, July.
  22. Li, Xin & Wen, Yang & Jiang, Jiaojiao & Daim, Tugrul & Huang, Lucheng, 2022. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  23. Ke, Qing, 2020. "The citation disadvantage of clinical research," Journal of Informetrics, Elsevier, vol. 14(1).
  24. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
  25. Yi Xiang & Pascal Welke & Chengzhi Zhang & Jian Wang, 2026. "Beyond Pairwise Distance: Cognitive Traversal Distance as a Holistic Measure of Scientific Novelty," Papers 2602.06607, arXiv.org.
  26. Llopis, Oscar & D'Este, Pablo & McKelvey, Maureen & Yegros, Alfredo, 2022. "Navigating multiple logics: Legitimacy and the quest for societal impact in science," Technovation, Elsevier, vol. 110(C).
  27. Chang, Le & Zhang, Huiying & Zhang, Chao, 2024. "Should we circumvent knowledge path dependency? The impact of conventional learning and collaboration diversity on knowledge creation," Journal of Informetrics, Elsevier, vol. 18(4).
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