Thomas Peron

2.1k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

Thomas Peron is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Biomedical Engineering. According to data from OpenAlex, Thomas Peron has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 13 papers in Statistical and Nonlinear Physics and 12 papers in Biomedical Engineering. Recurrent topics in Thomas Peron's work include Nonlinear Dynamics and Pattern Formation (21 papers), Slime Mold and Myxomycetes Research (12 papers) and Complex Network Analysis Techniques (8 papers). Thomas Peron is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (21 papers), Slime Mold and Myxomycetes Research (12 papers) and Complex Network Analysis Techniques (8 papers). Thomas Peron collaborates with scholars based in Brazil, Germany and United Kingdom. Thomas Peron's 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, Michael Šebek and Yamir Moreno and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physics Reports.

In The Last Decade

Thomas Peron

31 papers receiving 1.3k citations

Hit Papers

The Kuramoto model in complex networks 2015 2026 2018 2022 2015 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Kuramoto model in complex networks
    2015 613 citations Francisco A. Rodrigues, Thomas Peron et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Peron Brazil 14 882 568 304 261 190 32 1.3k
Peng Ji China 17 1.0k 1.2× 742 1.3× 389 1.3× 269 1.0× 90 0.5× 63 1.7k
Sarika Jalan India 23 863 1.0× 875 1.5× 373 1.2× 184 0.7× 86 0.5× 97 1.6k
Shuguang Guan China 23 1.2k 1.4× 965 1.7× 472 1.6× 213 0.8× 158 0.8× 107 1.8k
Diego Pazó Spain 20 896 1.0× 633 1.1× 371 1.2× 191 0.7× 82 0.4× 51 1.2k
I. Sendiña–Nadal Spain 23 1.2k 1.4× 1.0k 1.8× 574 1.9× 214 0.8× 66 0.3× 72 1.8k
Paul So United States 20 939 1.1× 1.0k 1.8× 767 2.5× 192 0.7× 190 1.0× 35 1.8k
Zhigang Zheng China 21 1.4k 1.6× 1.2k 2.1× 479 1.6× 283 1.1× 89 0.5× 194 2.0k
D. V. Senthilkumar India 20 1.1k 1.2× 835 1.5× 281 0.9× 134 0.5× 49 0.3× 98 1.3k
Timotéo Carletti Belgium 20 507 0.6× 782 1.4× 179 0.6× 141 0.5× 61 0.3× 120 1.7k
I. Leyva Spain 20 931 1.1× 722 1.3× 538 1.8× 163 0.6× 71 0.4× 65 1.4k

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-authorship network of co-authors of Thomas Peron

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Peron. A scholar is included among the top collaborators of Thomas Peron 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 Thomas Peron. Thomas Peron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rodrigues, Francisco A., Thomas Peron, Colm Connaughton, Jürgen Kurths, & Yamir Moreno. (2025). A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2306). 1 indexed citations
2.
Peron, Thomas, et al.. (2024). Effects of clustering heterogeneity on the spectral density of sparse networks. Physical review. E. 110(5). 54307–54307.
3.
Ji, Peng, et al.. (2023). Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews. 45. 74–111. 12 indexed citations
4.
Ciemer, Catrin, et al.. (2021). Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics. 230(14-15). 3075–3100. 8 indexed citations
5.
Peron, Thomas. (2021). Discordant synchronization patterns on directed networks of identical phase oscillators with attractive and repulsive couplings. Physical review. E. 103(4). 42210–42210. 3 indexed citations
6.
Peron, Thomas, et al.. (2020). Spacing ratio characterization of the spectra of directed random networks. Physical review. E. 102(6). 62305–62305. 17 indexed citations
7.
Peron, Thomas, et al.. (2019). Onset of synchronization of Kuramoto oscillators in scale-free networks. Physical review. E. 100(4). 42302–42302. 10 indexed citations
8.
Peron, Thomas, et al.. (2016). Traveling phase waves in asymmetric networks of noisy chaotic attractors. Physical review. E. 94(4). 42210–42210. 1 indexed citations
9.
Comin, César H., Thomas Peron, Filipi N. Silva, et al.. (2015). Thermodynamic characterization of networks using graph polynomials. Physical Review E. 92(3). 32810–32810. 19 indexed citations
10.
Silva, Filipi N., César H. Comin, Thomas Peron, et al.. (2015). Concentric network symmetry. Information Sciences. 333. 61–80. 8 indexed citations
11.
Méndez‐Bermúdez, J. A., et al.. (2015). Universality in the spectral and eigenfunction properties of random networks. Physical Review E. 91(3). 32122–32122. 29 indexed citations
12.
Peron, Thomas, et al.. (2015). Collective dynamics in two populations of noisy oscillators with asymmetric interactions. Physical Review E. 91(6). 62910–62910. 23 indexed citations
13.
Eroglu, Deniz, Thomas Peron, Norbert Marwan, et al.. (2014). Entropy of weighted recurrence plots. Physical Review E. 90(4). 42919–42919. 40 indexed citations
14.
Peron, Thomas, César H. Comin, Diego R. Amancio, et al.. (2014). Correlations between climate network and relief data. Nonlinear processes in geophysics. 21(6). 1127–1132. 12 indexed citations
15.
Ji, Peng, Thomas Peron, Francisco A. Rodrigues, & Jürgen Kurths. (2014). Low-dimensional behavior of Kuramoto model with inertia in complex networks. Scientific Reports. 4(1). 4783–4783. 29 indexed citations
16.
Ji, Peng, Thomas Peron, Francisco A. Rodrigues, & Jürgen Kurths. (2014). Analysis of cluster explosive synchronization in complex networks. Physical Review E. 90(6). 62810–62810. 25 indexed citations
17.
Peron, Thomas, Luciano da Fontoura Costa, & Francisco A. Rodrigues. (2012). The structure and resilience of financial market networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(1). 13117–13117. 75 indexed citations
18.
Peron, Thomas & Francisco A. Rodrigues. (2012). Explosive synchronization enhanced by time-delayed coupling. Physical Review E. 86(1). 16102–16102. 78 indexed citations
19.
Peron, Thomas & Francisco A. Rodrigues. (2012). Determination of the critical coupling of explosive synchronization transitions in scale-free networks by mean-field approximations. Physical Review E. 86(5). 56108–56108. 43 indexed citations
20.
Peron, Thomas & Francisco A. Rodrigues. (2011). Collective behavior in financial markets. Europhysics Letters (EPL). 96(4). 48004–48004. 52 indexed citations

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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