The research field called Science of Science seeks to uncover structural patterns within scientific research itself. In this project, we analyze large-scale citation networks using mathematical tools from graph and network theory, with an emphasis on openly available databases and reproducibility. Our aim is to develop bibliometric measures, such as disruption indicators, that are robust to inherent noise in the citation databases. Ideally, we hope to guide the scientific progress with evidence driven policy recommendations.
Papers
PRESENTATIONS
The Illusion of Decline: Unpacking Intrinsic Network Effects in Scientific Disruption
Vincent Holst, Andres Algaba, Floriano Tori, Sylvia Wenmackers & Vincent Ginis
Presented at the 14th Global TechMining Conference in Berlin on September 17, 2024.
How Open Code and Data Unveiled Errors in Measuring Scientific Disruption
Vincent Holst, Andres Algaba, Floriano Tori, Sylvia Wenmackers & Vincent Ginis
Presented at the 28th International Conference on Science, Technology and Innovation Indicators in Berlin on September 20, 2024.