Beat Gfeller

38 total papers · 736 total citations
17 papers, 283 citations indexed

About

Beat Gfeller is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Beat Gfeller has authored 17 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in Beat Gfeller's work include Complexity and Algorithms in Graphs (5 papers), Optimization and Search Problems (4 papers) and Speech and Audio Processing (3 papers). Beat Gfeller is often cited by papers focused on Complexity and Algorithms in Graphs (5 papers), Optimization and Search Problems (4 papers) and Speech and Audio Processing (3 papers). Beat Gfeller collaborates with scholars based in Switzerland, United States and Canada. Beat Gfeller's co-authors include Michael Rohs, Elias Vicari, Marco Tagliasacchi, Jochen M. Küster, Remco Dijkman, Hagen Völzer, Dominik Roblek, Félix de Chaumont Quitry, Peter Widmayer and Nicola Santoro and has published in prestigious journals such as IEEE Signal Processing Letters, Theoretical Computer Science and Information and Software Technology.

In The Last Decade

Beat Gfeller

16 papers receiving 249 citations

Author Peers

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

Author Last Decade Papers Cites
Beat Gfeller 89 82 81 80 52 17 283
G.M. Karam 72 0.8× 102 1.2× 54 0.7× 69 0.9× 17 0.3× 27 293
R. Newman-Wolfe 196 2.2× 114 1.4× 22 0.3× 30 0.4× 39 0.8× 27 309
Feng Chen 93 1.0× 101 1.2× 19 0.2× 61 0.8× 16 0.3× 27 270
Farhad Mardukhi 107 1.2× 101 1.2× 40 0.5× 143 1.8× 44 0.8× 22 270
Jonathan Lenchner 105 1.2× 82 1.0× 27 0.3× 77 1.0× 8 0.2× 24 265
H.-W. Six 114 1.3× 107 1.3× 50 0.6× 96 1.2× 177 3.4× 18 295
Kai Ye 25 0.3× 113 1.4× 147 1.8× 42 0.5× 25 0.5× 22 329
Richard Koman 114 1.3× 97 1.2× 54 0.7× 98 1.2× 32 0.6× 11 304
Thuc D. Nguyen 89 1.0× 102 1.2× 122 1.5× 135 1.7× 62 1.2× 28 318
Jean-Luc Meunier 70 0.8× 99 1.2× 168 2.1× 65 0.8× 18 0.3× 24 319

Countries citing papers authored by Beat Gfeller

Since Specialization
Citations

This map shows the geographic impact of Beat Gfeller'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 Beat Gfeller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beat Gfeller more than expected).

Fields of papers citing papers by Beat Gfeller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beat Gfeller. 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 Beat Gfeller. The network helps show where Beat Gfeller may publish in the future.

Co-authorship network of co-authors of Beat Gfeller

This figure shows the co-authorship network connecting the top 25 collaborators of Beat Gfeller. A scholar is included among the top collaborators of Beat Gfeller 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 Beat Gfeller. Beat Gfeller 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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