Preliminary Results of a Scientometric Analysis of the German Information Retrieval Community 2020-2023

October 11, 2023 · Entered Twilight · 🏛 Lernen, Wissen, Daten, Analysen

Repo contents: .gitignore, README.md, address_to_geocode.ipynb, analysis-top10.ipynb, analysis.ipynb, data, ir-coauthors-2020-2023.gephi, ir-community-centrality.csv, ir-community-centrality.xlsx, scrape_dois.ipynb, slides

Authors Philipp Schaer, Svetlana Myshkina, Jüri Keller arXiv ID 2310.07346 Category cs.IR: Information Retrieval Cross-listed cs.DL Citations 0 Venue Lernen, Wissen, Daten, Analysen Repository https://github.com/irgroup/LWDA2023-IR-community ⭐ 2 Last Checked 3 months ago

Abstract

The German Information Retrieval community is located in two different sub-fields: Information and computer science. There are no current studies that investigate these communities on a scientometric level. Available studies only focus on the information scientific part of the community. We generated a data set of 401 recent IR-related publications extracted from six core IR conferences from a mainly computer scientific background. We analyze this data set at the institutional and researcher level. The data set is publicly released, and we also demonstrate a mapping use case.