Towards prediction of paradigm shifts from scientific literature
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DOI: 10.1007/s11192-018-2931-3
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Cited by:
- Matteo Lascialfari & Marie-Benoît Magrini & Guillaume Cabanac, 2022. "Unpacking research lock-in through a diachronic analysis of topic cluster trajectories in scholarly publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6165-6189, November.
- MaruÅ¡a Premru & Matej ÄŒerne & SaÅ¡a BatistiÄ, 2022. "The Road to the Future: A Multi-Technique Bibliometric Review and Development Projections of the Leader–Member Exchange (LMX) Research," SAGE Open, , vol. 12(2), pages 21582440221, May.
- Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
- Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
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Keywords
Paradigm shift; Prediction; Citation networks; Scientometrics; Flow Vergence effect; FV gradient;All these keywords.
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