2018/03/28 by Alessandro Strumia, Riccardo Torre · 3 voices · 2 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Text Analysis Techniques #Complex Network Analysis Techniques #astro-ph.CO #cs.DL #hep-ph #hep-th #physics.soc-ph #scientometrics and bibliometrics research
paper · pdf · doi:10.1016/j.joi.2019.01.011
published as J. of Informetrics 13 (2019) 515 · 41 pages, 16 figures, 13 tables, 1 appendix; updated to 2021/1/1. Additional results and full tables are available at the link: http://rtorre.web.cern.ch/rtorre/PhysRank/index.html
arxiv published 2018/03/28 · openalex created_date 2018/04/06 · openalex publication_date 2019/03/14 · arxiv created 2021/04/06 · arxiv updated 2021/04/07 · openalex updated_date 2026/07/28
We propose measures of the impact of research that improve on existing ones such as counting of number of papers, citations and h-index. Since different papers and different fields have largely different average number of co-authors and of references we replace citations with individual citations, shared among co-authors. Next, we improve on citation counting applying the PageRank algorithm to citations among papers. Being time-ordered, this reduces to a weighted counting of citation descendants that we call PaperRank. Similarly, we compute an AuthorRank applying the PageRank algorithm to citations among authors. These metrics quantify the impact of an author or paper taking into account the impact of those authors that cite it. Finally, we show how self- and circular- citations can be eliminated by defining a closed market of citation-coins. We apply these metrics to the InSpire database that covers fundamental physics, ranking papers, authors, journals, institutes, towns, countries, continents, genders, for all-time and in recent time periods.