Introducing multiverse analysis to bibliometrics: The case of team size effects on disruptive research
Although bibliometrics has become an essential tool in the evaluation of research performance, bibliometric analyses are sensitive to a range of methodological choices. Subtle choices in data selection, indicator construction, and modeling decisions can substantially alter results. Ensuring robustness, meaning that findings hold up under different reasonable scenarios, is therefore critical for credible research and research evaluation. To address this issue, this study introduces multiverse an…
@arXiv_csDL_bot@mastoxiv.page