Béat Hirsbrunner

113 total papers · 958 total citations
66 papers, 533 citations indexed

About

Béat Hirsbrunner is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Béat Hirsbrunner has authored 66 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Béat Hirsbrunner's work include Peer-to-Peer Network Technologies (14 papers), Context-Aware Activity Recognition Systems (13 papers) and Distributed and Parallel Computing Systems (12 papers). Béat Hirsbrunner is often cited by papers focused on Peer-to-Peer Network Technologies (14 papers), Context-Aware Activity Recognition Systems (13 papers) and Distributed and Parallel Computing Systems (12 papers). Béat Hirsbrunner collaborates with scholars based in Switzerland, United Kingdom and Romania. Béat Hirsbrunner's co-authors include Soraya Kouadri Mostéfaoui, Pierre Kuonen, Yao Lu, Nik Bessis, Apostolos Malatras, Florian Évéquoz, Ye Huang, Ioan-Sorin Comşa, Pierre Andry and Jacqueline Nadel and has published in prestigious journals such as Future Generation Computer Systems, Wireless Networks and Personal and Ubiquitous Computing.

In The Last Decade

Béat Hirsbrunner

61 papers receiving 496 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Béat Hirsbrunner 294 202 107 87 66 66 533
Jongsung Kim 150 0.5× 160 0.8× 65 0.6× 67 0.8× 57 0.9× 57 497
Ravi Rastogi 325 1.1× 190 0.9× 59 0.6× 118 1.4× 65 1.0× 49 613
Ed Novak 304 1.0× 197 1.0× 128 1.2× 90 1.0× 75 1.1× 25 554
Michael Dixon 236 0.8× 128 0.6× 166 1.6× 66 0.8× 78 1.2× 51 557
Patricia Arias-Cabarcos 216 0.7× 279 1.4× 92 0.9× 145 1.7× 21 0.3× 59 514
Hoon Ko 166 0.6× 159 0.8× 102 1.0× 137 1.6× 17 0.3× 85 606
Jordán Pascual Espada 213 0.7× 183 0.9× 126 1.2× 114 1.3× 51 0.8× 55 598
Biao Hu 202 0.7× 132 0.7× 139 1.3× 62 0.7× 12 0.2× 48 507
Mun‐Kyu Lee 123 0.4× 356 1.8× 134 1.3× 207 2.4× 44 0.7× 55 578
Mohammed A. Alqarni 212 0.7× 212 1.0× 68 0.6× 99 1.1× 29 0.4× 44 558

Countries citing papers authored by Béat Hirsbrunner

Since Specialization
Citations

This map shows the geographic impact of Béat Hirsbrunner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Béat Hirsbrunner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Béat Hirsbrunner more than expected).

Fields of papers citing papers by Béat Hirsbrunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Béat Hirsbrunner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Béat Hirsbrunner. The network helps show where Béat Hirsbrunner may publish in the future.

Co-authorship network of co-authors of Béat Hirsbrunner

This figure shows the co-authorship network connecting the top 25 collaborators of Béat Hirsbrunner. A scholar is included among the top collaborators of Béat Hirsbrunner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Béat Hirsbrunner. Béat Hirsbrunner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026