Michel Mollard

52 total papers · 516 total citations
30 papers, 317 citations indexed

About

Michel Mollard is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Computer Networks and Communications. According to data from OpenAlex, Michel Mollard has authored 30 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 17 papers in Geometry and Topology and 13 papers in Computer Networks and Communications. Recurrent topics in Michel Mollard's work include Graph theory and applications (14 papers), Advanced Graph Theory Research (11 papers) and Interconnection Networks and Systems (10 papers). Michel Mollard is often cited by papers focused on Graph theory and applications (14 papers), Advanced Graph Theory Research (11 papers) and Interconnection Networks and Systems (10 papers). Michel Mollard collaborates with scholars based in France, Slovenia and Iceland. Michel Mollard's co-authors include Sandi Klavžar, Sylvain Gravier, Simon Špacapan, Marko Petkovšek, Paul Dorbec, Charles Payan, Mark Ramras, Julien Moncel, Ivan M. Havel and Antoine Lobstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Mathematics with Applications and Discrete Applied Mathematics.

In The Last Decade

Michel Mollard

28 papers receiving 299 citations

Author Peers

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

Author Last Decade Papers Cites
Michel Mollard 213 138 135 82 63 30 317
Emanuele Munarini 116 0.5× 132 1.0× 48 0.4× 24 0.3× 146 2.3× 45 300
Simon Špacapan 272 1.3× 128 0.9× 147 1.1× 81 1.0× 73 1.2× 33 351
Claudine Peyrat 153 0.7× 95 0.7× 226 1.7× 102 1.2× 54 0.9× 15 316
Margarida Mitjana Riera 182 0.9× 220 1.6× 55 0.4× 60 0.7× 31 0.5× 42 297
Min Chih Lin 265 1.2× 74 0.5× 89 0.7× 41 0.5× 54 0.9× 32 303
Jan Goedgebeur 183 0.9× 88 0.6× 44 0.3× 60 0.7× 122 1.9× 38 366
Marie-Claude Heydemann 182 0.9× 94 0.7× 215 1.6× 132 1.6× 44 0.7× 28 317
Milica Anđelić 223 1.0× 235 1.7× 17 0.1× 45 0.5× 56 0.9× 55 320
Uroš Milutinović 221 1.0× 116 0.8× 43 0.3× 49 0.6× 73 1.2× 22 340
Zevi Miller 183 0.9× 88 0.6× 63 0.5× 67 0.8× 70 1.1× 29 260

Countries citing papers authored by Michel Mollard

Since Specialization
Citations

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

Fields of papers citing papers by Michel Mollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Mollard

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