Jean‐Pierre Georgé

80 total papers · 485 total citations
10 papers, 88 citations indexed

About

Jean‐Pierre Georgé is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Jean‐Pierre Georgé has authored 10 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jean‐Pierre Georgé's work include Metaheuristic Optimization Algorithms Research (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Advanced Software Engineering Methodologies (2 papers). Jean‐Pierre Georgé is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Advanced Software Engineering Methodologies (2 papers). Jean‐Pierre Georgé collaborates with scholars based in France and Italy. Jean‐Pierre Georgé's co-authors include Marie-Pierre Gleizes, Gauthier Picard, Claudia Raibulet, Pierre Glize, Valérie Camps, Marc Hélier and Philippe Pouliguen and has published in prestigious journals such as Expert Systems with Applications, Progress In Electromagnetics Research C and Revue d intelligence artificielle.

In The Last Decade

Jean‐Pierre Georgé

10 papers receiving 82 citations

Author Peers

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

Author Last Decade Papers Cites
Jean‐Pierre Georgé 53 36 28 13 9 10 88
Wolfgang Wilke 105 2.0× 28 0.8× 40 1.4× 8 0.6× 6 0.7× 13 154
George Bilchev 36 0.7× 47 1.3× 32 1.1× 29 2.2× 3 0.3× 13 136
Rajesh K. Karmani 50 0.9× 103 2.9× 30 1.1× 7 0.5× 9 1.0× 8 133
Sujatha Srinivasan 46 0.9× 14 0.4× 17 0.6× 12 0.9× 9 1.0× 15 122
Bogdan Trawiński 43 0.8× 18 0.5× 19 0.7× 14 1.1× 11 1.2× 8 96
Vincent Huang 43 0.8× 52 1.4× 28 1.0× 33 2.5× 7 0.8× 12 107
Valentin Dalibard 63 1.2× 50 1.4× 39 1.4× 24 1.8× 5 0.6× 9 118
Tarik Hadžić 53 1.0× 46 1.3× 27 1.0× 3 0.2× 6 0.7× 13 128
Devottam Gaurav 110 2.1× 60 1.7× 54 1.9× 26 2.0× 17 1.9× 10 237
Faiz Ali Shah 124 2.3× 13 0.4× 62 2.2× 23 1.8× 6 0.7× 12 256

Countries citing papers authored by Jean‐Pierre Georgé

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Pierre Georgé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Pierre Georgé

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