Measuring discursive influence across scholarship
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Cited by:
- Tian, Dan & Hu, Xiao & Qian, Yuchen & Li, Jiang, 2024. "Exploring the scientific impact of negative results," Journal of Informetrics, Elsevier, vol. 18(1).
- Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
- Minchul Lee & Min Song, 2020. "Incorporating citation impact into analysis of research trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1191-1224, August.
- Antonio De Nicola & Gregorio D’Agostino, 2021. "Assessment of gender divide in scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3807-3840, May.
- Teplitskiy, Misha & Duede, Eamon & Menietti, Michael & Lakhani, Karim R., 2022. "How status of research papers affects the way they are read and cited," Research Policy, Elsevier, vol. 51(4).
- Massimo Franceschet & Giovanni Colavizza, 2020. "Quantifying the higher-order influence of scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 951-963, November.
- Jay Bhattacharya & Mikko Packalen, 2020. "Stagnation and Scientific Incentives," NBER Working Papers 26752, National Bureau of Economic Research, Inc.
- Sandeep Soni & Kristina Lerman & Jacob Eisenstein, 2021. "Follow the leader: Documents on the leading edge of semantic change get more citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 478-492, April.
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Keywords
scholarly influence; science of science; probabilistic modeling;All these keywords.
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