Thomas Bienvenu

1.3k citations
15 papers · 891 indexed · h-index 7
Topics
Neuroscience and Neuropharmacology Research (9 papers)Memory and Neural Mechanisms (9 papers)Neural dynamics and brain function (4 papers)

In The Last Decade

Thomas Bienvenu

13 papers receiving 881 citations

Peers

Thomas Bienvenu
Comparison fields: 5 of 65
  • Cognitive Neuroscience 674
  • Cellular and Molecular Neuroscience 598
  • Social Psychology 196
  • Behavioral Neuroscience 187
  • Molecular Biology 131
Replace Hélène Wurtz with:
Hélène Wurtz France
Roger Marek Australia
Ioannis Vlachos Germany
Carlos Eduardo Macedo Brazil
Kelvin Quiñones-Laracuente Puerto Rico
Akinori Ishikawa Japan
Travis D. Goode United States
Douglas A. Caruana Canada
Caitlin S. Mallory United States
Monique Majchrzak France
Thomas Bienvenu relative to Hélène Wurtz France Hélène Wurtz's profile →
Citations per field
00.5×1.5×
Hélène Wurtz · 1×
Citations per year

Countries citing papers authored by Thomas Bienvenu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bienvenu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Bienvenu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 1
6 5
7 52
8 5
9 156
10 43
11 384
12 72
13 41
14 128
15 1

About Thomas Bienvenu

Thomas Bienvenu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience, having authored 15 papers that have together received 891 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (9 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Behavioral Neuroscience (187 citations), Cognitive Neuroscience (674 citations) and Cellular and Molecular Neuroscience (598 citations). Thomas Bienvenu has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include Cyril Herry, Julien Courtin, Fabrice Chaudun, Nikolaos Karalis, Hélène Wurtz, Marco Capogna, Robert R. Rozeske, Cecilia Gonzalez-Campo, Jérôme Baufreton and Azzedine Abdi. Their work appears in journals such as Nature, Neuron and Journal of Neuroscience.

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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