Gary Bécigneul

27 total papers · 566 total citations
8 papers, 63 citations indexed

About

Gary Bécigneul is a scholar working on Artificial Intelligence, Computational Mechanics and Geometry and Topology. According to data from OpenAlex, Gary Bécigneul has authored 8 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computational Mechanics and 2 papers in Geometry and Topology. Recurrent topics in Gary Bécigneul's work include 3D Shape Modeling and Analysis (3 papers), Speech Recognition and Synthesis (2 papers) and Natural Language Processing Techniques (2 papers). Gary Bécigneul is often cited by papers focused on 3D Shape Modeling and Analysis (3 papers), Speech Recognition and Synthesis (2 papers) and Natural Language Processing Techniques (2 papers). Gary Bécigneul collaborates with scholars based in Switzerland, United States and China. Gary Bécigneul's co-authors include Octavian-Eugen Ganea, Aurélien Lucchi, Gregor Bachmann, Sylvain Gelly, Shiqi Yang and Aliaksei Severyn and has published in prestigious journals such as Repository for Publications and Research Data (ETH Zurich), arXiv (Cornell University) and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

Gary Bécigneul

8 papers receiving 60 citations

Author Peers

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

Author Last Decade Papers Cites
Gary Bécigneul 47 22 11 7 7 8 63
Nilesh Tripuraneni 72 1.5× 6 0.3× 19 1.7× 10 1.4× 8 1.1× 11 85
Rabeeh Karimi Mahabadi 87 1.9× 28 1.3× 20 1.8× 3 0.4× 7 1.0× 7 117
Mutsuo Saito 23 0.5× 34 1.5× 3 0.3× 10 1.4× 4 0.6× 8 65
Chen Zhu 53 1.1× 16 0.7× 4 0.4× 6 0.9× 6 73
Fabian B. Fuchs 22 0.5× 16 0.7× 8 0.7× 10 1.4× 9 59
Behrooz Ghorbani 47 1.0× 18 0.8× 6 0.5× 3 0.4× 6 57
Majid Janzamin 28 0.6× 10 0.5× 20 1.8× 3 0.4× 11 79
Yossi Arjevani 48 1.0× 5 0.2× 31 2.8× 8 1.1× 4 0.6× 10 74
Aymeric Dieuleveut 38 0.8× 6 0.3× 17 1.5× 8 1.1× 12 56
Hongzhou Lin 17 0.4× 10 0.5× 9 0.8× 5 0.7× 1 0.1× 8 42

Countries citing papers authored by Gary Bécigneul

Since Specialization
Citations

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

Fields of papers citing papers by Gary Bécigneul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Bécigneul

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