Pierre Siegel

66 total papers · 487 total citations
21 papers, 179 citations indexed

About

Pierre Siegel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Pierre Siegel has authored 21 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Pierre Siegel's work include Logic, Reasoning, and Knowledge (18 papers), Logic, programming, and type systems (6 papers) and Multi-Agent Systems and Negotiation (6 papers). Pierre Siegel is often cited by papers focused on Logic, Reasoning, and Knowledge (18 papers), Logic, programming, and type systems (6 papers) and Multi-Agent Systems and Negotiation (6 papers). Pierre Siegel collaborates with scholars based in France and Japan. Pierre Siegel's co-authors include Camilla Schwind, Philippe Besnard, Belaïd Benhamou, Luís Fariñas del Cerro, Lakhdar Saïs, Marie-Odile Cordier, Henri Prade, Rudolf Kruse, Andrei Doncescu and Didier Dubois and has published in prestigious journals such as Artificial Intelligence, Lecture notes in computer science and International Journal of Intelligent Systems.

In The Last Decade

Pierre Siegel

18 papers receiving 147 citations

Author Peers

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

Author Last Decade Papers Cites
Pierre Siegel 156 70 32 12 9 21 179
Irène Guessarian 155 1.0× 155 2.2× 30 0.9× 5 0.4× 4 0.4× 28 213
Aimo Tietäväinen 222 1.4× 57 0.8× 59 1.8× 11 0.9× 7 0.8× 22 258
Sophie Tison 161 1.0× 147 2.1× 41 1.3× 10 0.8× 6 0.7× 30 199
Michael Frazier 201 1.3× 115 1.6× 41 1.3× 4 0.3× 9 1.0× 13 210
Christoph Walther 199 1.3× 103 1.5× 37 1.2× 7 0.6× 2 0.2× 18 218
Rob Nederpelt 154 1.0× 108 1.5× 9 0.3× 7 0.6× 14 1.6× 27 180
Russell Martin 53 0.3× 39 0.6× 49 1.5× 8 0.7× 7 0.8× 18 154
Carroll Morgan 168 1.1× 143 2.0× 29 0.9× 5 0.4× 5 0.6× 17 198
Benjamin Aminof 133 0.9× 132 1.9× 15 0.5× 6 0.5× 10 1.1× 27 175
Adriana Compagnoni 171 1.1× 96 1.4× 60 1.9× 32 2.7× 5 0.6× 28 230

Countries citing papers authored by Pierre Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Siegel

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