Romain Veltz

630 citations
27 papers · 382 · h-index 12

Impact in

Papers in

Romain Veltz

27 papers receiving 367 citations

Peers

Romain Veltz
Comparison fields: 5 of 54
  • Statistical and Nonlinear Physics 189
  • Cognitive Neuroscience 265
  • Computer Networks and Communications 149
  • Cellular and Molecular Neuroscience 86
  • Modeling and Simulation 8
Replace Moritz Deger with:
Moritz Deger Germany
Shenquan Liu China
Javier Baladron Germany
Alice Morelli Italy
Ana P. Millán Spain
Roberto C. Budzinski Brazil
Wondimu Teka United States
Clovis Ntahkie Takembo Cameroon
Stefanos E. Folias United States
Romain Veltz relative to Moritz Deger Germany Moritz Deger's profile →
Citations per field
00.5×2.5×
Moritz Deger · 1×
Citations per year

Countries citing papers authored by Romain Veltz

Since Specialization
Citations

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

Fields of papers citing papers by Romain Veltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201052
2 201338
3 201138
4 200830
5 200826
6 201821
7 201916
8 201316
9 201316
10 201513
11 202012
12 202111
13 201110
14 202010
15 20239
16 20179
17 20209
18 20128
19 20198
20 20158

About Romain Veltz

Romain Veltz is a scholar working on Cognitive Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 27 papers that have together received 382 indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), stochastic dynamics and bifurcation (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Visual perception and processing mechanisms (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Neurobiology and Insect Physiology Research (3 papers), Advanced Memory and Neural Computing (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (189 citations), Cognitive Neuroscience (265 citations), Computer Networks and Communications (149 citations), Cellular and Molecular Neuroscience (86 citations) and Modeling and Simulation (8 citations). Romain Veltz has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Olivier Faugeras, François Grimbert, Terrence J. Sejnowski, Étienne Tanré, Mathieu Desroches, Miguel A. Muñoz, Jesús M. Cortés, Serafim Rodrigues, S. Barland and Bruno Garbin. Their work appears in journals such as Neural Computation, Physical review. E, Journal of Computational Neuroscience, PLoS Computational Biology and Comptes Rendus Mathématique.

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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