Philippe Jacquet

143 total papers · 3.3k total citations
61 papers, 2.0k citations indexed

About

Philippe Jacquet is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Philippe Jacquet has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 21 papers in Computational Theory and Mathematics and 20 papers in Artificial Intelligence. Recurrent topics in Philippe Jacquet's work include Algorithms and Data Compression (19 papers), Mobile Ad Hoc Networks (17 papers) and DNA and Biological Computing (11 papers). Philippe Jacquet is often cited by papers focused on Algorithms and Data Compression (19 papers), Mobile Ad Hoc Networks (17 papers) and DNA and Biological Computing (11 papers). Philippe Jacquet collaborates with scholars based in France, United States and Australia. Philippe Jacquet's co-authors include Paul Mühlethaler, Laurent Viennot, Anis Laouiti, Wojciech Szpankowski, Thomas Clausen, Amir Qayyum, Mireille Régnier, Izydor Apostoł, G. Seroussi and Bernard Mans and has published in prestigious journals such as IEEE Transactions on Information Theory, Computer Networks and Theoretical Computer Science.

In The Last Decade

Philippe Jacquet

58 papers receiving 1.7k citations

Hit Papers

Optimized Link State Rout... 2000 2026 2008 2017 2000 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Philippe Jacquet 1.5k 560 419 253 132 61 2.0k
James Aspnes 2.5k 1.6× 483 0.9× 535 1.3× 486 1.9× 187 1.4× 107 3.1k
Gopal Pandurangan 1.2k 0.8× 152 0.3× 445 1.1× 468 1.8× 91 0.7× 109 1.7k
Joachim Rosenthal 550 0.4× 526 0.9× 742 1.8× 504 2.0× 82 0.6× 119 1.5k
Milena Mihail 1.0k 0.7× 136 0.2× 244 0.6× 372 1.5× 47 0.4× 36 1.7k
T. Leighton 1.1k 0.7× 537 1.0× 160 0.4× 516 2.0× 30 0.2× 39 1.6k
Jean Vuillemin 1.2k 0.8× 703 1.3× 944 2.3× 995 3.9× 69 0.5× 57 2.9k
R. Michael Tanner 2.7k 1.7× 2.4k 4.2× 610 1.5× 237 0.9× 256 1.9× 23 3.0k
Christian Scheideler 1.7k 1.1× 230 0.4× 243 0.6× 270 1.1× 56 0.4× 136 1.9k
Jacques Stern 672 0.4× 335 0.6× 2.0k 4.8× 713 2.8× 42 0.3× 49 2.5k
Simon Litsyn 1.5k 1.0× 1.8k 3.3× 1.2k 2.8× 565 2.2× 257 1.9× 155 2.6k

Countries citing papers authored by Philippe Jacquet

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Jacquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Jacquet

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