Scientific creativity patterns in scholars’ academic careers: Evidence from PubMed
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DOI: 10.1016/j.joi.2023.101463
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- 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.
- Cheng, Deng & Xue, Zhang, 2025. "Exploring the relationship between interdisciplinarity and scientific breakthrough speed: a study based on Nobel Prize-winning papers," Journal of Informetrics, Elsevier, vol. 19(3).
- Chih-Hsing Liu & Jun-You Lin, 2024. "Collaboration-based scientific productivity: evidence from Nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3735-3768, July.
- Hongkan Chen & Lutz Bornmann & Yi Bu, 2025. "Hot streaks and disruptiveness in the career of scientists: is there an association between both phenomena?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
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