Clément Sire

5.7k citations
113 papers · 3.5k · h-index 33

Impact in

Papers in

Clément Sire

109 papers receiving 3.4k citations

Peers

Clément Sire
Comparison fields: 5 of 143
  • Condensed Matter Physics 1.2k
  • Statistical and Nonlinear Physics 1.2k
  • Modeling and Simulation 280
  • Mathematical Physics 499
  • Otorhinolaryngology 179
Replace Alan J. McKane with:
Alan J. McKane United Kingdom
Henrik Jeldtoft Jensen United Kingdom
H. Eduardo Roman Italy
Baruch Meerson Israel
E. Ben‐Naim United States
H. G. E. Hentschel United States
J. R. Dorfman United States
Hans C. Fogedby Denmark
Y. Oono United States
M. L. Lyra Brazil
Clément Sire relative to Alan J. McKane United Kingdom Alan J. McKane's profile →
Citations per field
00.5×1.5×
Alan J. McKane · 1×
Citations per year

Countries citing papers authored by Clément Sire

Since Specialization
Citations

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

Fields of papers citing papers by Clément Sire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clément Sire, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Clément Sire Line = papers co-authored together Clément Sire links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997170
2 1996161
3 2014151
4 2010145
5 1996134
6 1993106
7 2002105
8 2018101
9 2015100
10 199693
11 200287
12 201886
13 201776
14 200472
15 199770
16 201563
17 199563
18 199262
19 201759
20 202151

About Clément Sire

Clément Sire is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Materials Chemistry, Mathematical Physics and Computer Networks and Communications, having authored 113 papers that have together received 3.5k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (27 papers), Advanced Thermodynamics and Statistical Mechanics (18 papers), Statistical Mechanics and Entropy (16 papers), Stochastic processes and statistical mechanics (13 papers), Distributed Control Multi-Agent Systems (12 papers), Head and Neck Cancer Studies (12 papers), Quasicrystal Structures and Properties (11 papers) and Opinion Dynamics and Social Influence (10 papers). The work is most often cited by research in Condensed Matter Physics (1.2k citations), Statistical and Nonlinear Physics (1.2k citations), Modeling and Simulation (280 citations), Mathematical Physics (499 citations) and Otorhinolaryngology (179 citations). Clément Sire has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Pierre-Henri Chavanis, Satya N. Majumdar, Stephen J. Cornell, Guy Théraulaz, A. J. Bray, Jean Bellissard, Daniel S. Calovi, Hugues Chaté, V. Benza and Carole Rosier. Their work appears in journals such as Physical Review Letters, Annals of Oncology, PLoS Computational Biology, Physica A Statistical Mechanics and its Applications and Europhysics Letters (EPL).

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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