Thomas Peron

2.1k citations
32 papers · 1.4k · 1 hit paper · h-index 14

Impact in

Papers in

Thomas Peron

31 papers receiving 1.4k citations

Thomas Peron's Hit Papers

The Kuramoto model in complex networks 2015 · 676 citations
6760+3+7Years since publication200400600

Peers

Thomas Peron
Comparison fields: 5 of 92
  • Statistical and Nonlinear Physics 603
  • Computer Networks and Communications 933
  • Cognitive Neuroscience 316
  • Economics and Econometrics 197
  • Biomedical Engineering 271
Replace Shuguang Guan with:
Shuguang Guan China
Timotéo Carletti Belgium
Conrad J. Pérez-Vicente Spain
Sarika Jalan India
Diego Pazó Spain
Huijie Yang China
Zhigang Zheng China
Per Sebastian Skardal United States
Peng Ji China
Chittaranjan Hens India
Thomas Peron relative to Shuguang Guan China Shuguang Guan's profile →
Citations per field
00.5×1.5×1.8×
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 →
2015676
2 2013135
3 201282
4 201277
5 201153
6 201445
7 201243
8 201430
9 201529
10 201527
11 201526
12 201426
13 201523
14 202018
15 202313
16 201412
17 201911
18 201810
19 20169
20 20149

About Thomas Peron

Thomas Peron is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Biomedical Engineering, Global and Planetary Change and Economics and Econometrics, having authored 32 papers that have together received 1.4k 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), Ecosystem dynamics and resilience (7 papers), Opinion Dynamics and Social Influence (7 papers), Neural Networks Stability and Synchronization (6 papers), Complex Systems and Time Series Analysis (6 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (603 citations), Computer Networks and Communications (933 citations), Cognitive Neuroscience (316 citations), Economics and Econometrics (197 citations) and Biomedical Engineering (271 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, Yamir Moreno and Norbert Marwan. Their work appears in journals such as Physical review. E, Europhysics Letters (EPL), Physics Reports, The European Physical Journal Special Topics and Chaos Solitons & Fractals.

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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