Thomas Peron

2.1k citations
32 papers · 1.3k indexed · 1 hit paper · h-index 14

Impact in

Papers in

Thomas Peron

31 papers receiving 1.3k citations

Hit Papers

The Kuramoto model in complex networks 2015 · 613 citations
6132015202620182022200400600

Peers

Thomas Peron
Comparison fields: 5 of 85
  • Statistical and Nonlinear Physics 568
  • Computer Networks and Communications 882
  • Cognitive Neuroscience 304
  • Economics and Econometrics 190
  • Biomedical Engineering 261
Replace Shuguang Guan with:
Shuguang Guan China
Conrad J. Pérez-Vicente Spain
Zhigang Zheng China
Timotéo Carletti Belgium
Г. Филатрелла Italy
Sarika Jalan India
Peng Ji China
R. E. Amritkar India
Т. Е. Вадивасова Russia
C. J. Pérez Vicente Spain
Thomas Peron relative to Shuguang Guan China Shuguang Guan's profile →
Citations per field
00.5×1.5×
Shuguang Guan · 1×
Citations per year

Countries citing papers authored by Thomas Peron

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Peron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Peron, 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 Thomas Peron Line = papers co-authored together Thomas Peron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Kuramoto model in complex networks
Hit paper breakdown →
2015613
2 2013131
3 201278
4 201275
5 201152
6 201243
7 201440
8 201429
9 201529
10 201525
11 201425
12 201523
13 201519
14 202017
15 202312
16 201412
17 201910
18 201810
19 20149
20 20169

About Thomas Peron

Thomas Peron is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Global and Planetary Change, Biomedical Engineering and Economics and Econometrics, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (21 papers), Slime Mold and Myxomycetes Research (12 papers), Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers), Ecosystem dynamics and resilience (7 papers), Complex Systems and Time Series Analysis (6 papers), Neural Networks Stability and Synchronization (6 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (568 citations), Computer Networks and Communications (882 citations), Cognitive Neuroscience (304 citations), Economics and Econometrics (190 citations) and Biomedical Engineering (261 citations). Thomas Peron has collaborated with scholars based in Brazil, Germany and United Kingdom. Frequent co-authors include Francisco A. Rodrigues, Jürgen Kurths, Peng Ji, Luciano da Fontoura Costa, J. A. Méndez‐Bermúdez, Deniz Eroglu, Lutz Schimansky-Geier, César H. Comin, István Z. Kiss and Norbert Marwan. Their work appears in journals such as Physical review. E, Europhysics Letters (EPL), Information Sciences, Scientific Reports and Physics of Life Reviews.

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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