2016/02/26 by Miguel R. Guevara, Miguel Guevara, Guevara, Miguel R. +8 · 6 citations
Computer Science · Decision Sciences · Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #Citation #Complex Network Analysis Techniques #Computer science #Data science #Digital Libraries (cs.DL) #FOS: Computer and information sciences #FOS: Physical sciences #Field (mathematics) #Law #Library science #Mathematics #Physics and Society (physics.soc-ph) #Political science #Publication #Pure mathematics #Set (abstract data type) #Social and Information Networks (cs.SI) #Social science #Sociology #Space (punctuation) #Spatial and Panel Data Analysis #cs.DL #cs.SI #physics.soc-ph #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.1602.08409
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2016/02/26 · arxiv created 2016/04/14 · arxiv updated 2016/04/18 · openalex created_date 2022/10/05 · openalex updated_date 2026/08/05
In recent years scholars have built maps of science by connecting the\nacademic fields that cite each other, are cited together, or that cite a\nsimilar literature. But since scholars cannot always publish in the fields they\ncite, or that cite them, these science maps are only rough proxies for the\npotential of a scholar, organization, or country, to enter a new academic\nfield. Here we use a large dataset of scholarly publications disambiguated at\nthe individual level to create a map of science-or research space-where links\nconnect pairs of fields based on the probability that an individual has\npublished in both of them. We find that the research space is a significantly\nmore accurate predictor of the fields that individuals and organizations will\nenter in the future than citation based science maps. At the country level,\nhowever, the research space and citations based science maps are equally\naccurate. These findings show that data on career trajectories-the set of\nfields that individuals have previously published in-provide more accurate\npredictors of future research output for more focalized units-such as\nindividuals or organizations-than citation based science maps.\n