Benoît Girard

4.1k total citations
64 papers, 2.2k citations indexed

About

Benoît Girard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Benoît Girard has authored 64 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Benoît Girard's work include Neural dynamics and brain function (23 papers), Memory and Neural Mechanisms (11 papers) and Postharvest Quality and Shelf Life Management (9 papers). Benoît Girard is often cited by papers focused on Neural dynamics and brain function (23 papers), Memory and Neural Mechanisms (11 papers) and Postharvest Quality and Shelf Life Management (9 papers). Benoît Girard collaborates with scholars based in France, Canada and United States. Benoît Girard's co-authors include Lana Fukumoto, Pascal Delaquis, Giuseppe Mazza, Alain Berthoz, Mehdi Khamassi, SEFA S. KOSEOGLU, Agnès Guillot, Kuldeep Agarwal, Guillaume Viejo and Jean-Arcady Meyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Benoît Girard

62 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Girard France 29 666 549 527 429 233 64 2.2k
Naveed Muhammad Pakistan 27 364 0.5× 215 0.4× 225 0.4× 93 0.2× 331 1.4× 117 2.1k
Xianxiang Chen China 28 510 0.8× 747 1.4× 227 0.4× 53 0.1× 303 1.3× 148 2.7k
Sang Ryong Kim South Korea 38 1.2k 1.7× 86 0.2× 227 0.4× 247 0.6× 1.2k 5.1× 137 5.4k
Benôıt Girard France 24 625 0.9× 874 1.6× 140 0.3× 513 1.2× 409 1.8× 54 2.2k
Xiaoling Yang China 27 142 0.2× 374 0.7× 127 0.2× 48 0.1× 157 0.7× 67 1.9k
Seiichiro Isobe Japan 37 851 1.3× 1.6k 2.8× 778 1.5× 366 0.9× 433 1.9× 108 4.6k
F. Lamarche Canada 27 180 0.3× 480 0.9× 1.7k 3.2× 44 0.1× 361 1.5× 99 4.0k
Dominique Valentin France 44 1.1k 1.7× 3.2k 5.8× 688 1.3× 227 0.5× 115 0.5× 147 5.6k
James C. Craig United States 38 160 0.2× 478 0.9× 2.8k 5.4× 44 0.1× 346 1.5× 172 4.4k
Yang Zhang China 32 111 0.2× 100 0.2× 1.8k 3.4× 31 0.1× 450 1.9× 220 3.9k

Countries citing papers authored by Benoît Girard

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Girard

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Girard. A scholar is included among the top collaborators of Benoît Girard 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 Benoît Girard. Benoît Girard 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.
Khamassi, Mehdi, et al.. (2024). A new paradigm to study social and physical affordances as model-based reinforcement learning. SHILAP Revista de lepidopterología. 4. 142–155. 1 indexed citations
2.
Coutureau, Étienne, et al.. (2024). Regulation of reinforcement learning parameters captures long‐term changes in rat behaviour. European Journal of Neuroscience. 60(4). 4469–4490. 1 indexed citations
3.
Girard, Benoît, et al.. (2024). Why learning progress needs absolute values: Comment on Poli et al. (2024). European Journal of Neuroscience. 61(1). e16635–e16635. 1 indexed citations
4.
Girard, Benoît, Jean Liénard, Carlos Enrique Gutierrez, Bruno Delord, & Kenji Doya. (2020). A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection. European Journal of Neuroscience. 53(7). 2254–2277. 15 indexed citations
5.
Marchand, Alain R., et al.. (2019). Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour. Psychopharmacology. 236(8). 2373–2388. 6 indexed citations
6.
Doncieux, Stéphane, David Filliat, Natalia Díaz-Rodríguez, et al.. (2018). Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers in Neurorobotics. 12. 59–59. 30 indexed citations
7.
Chatila, Raja, et al.. (2018). Toward Self-Aware Robots. Frontiers in Robotics and AI. 5. 88–88. 35 indexed citations
8.
Marcos, Encarni, Ignasi Cos, Benoît Girard, & Paul F. M. J. Verschure. (2015). Motor Cost Influences Perceptual Decisions. PLoS ONE. 10(12). e0144841–e0144841. 37 indexed citations
9.
Viejo, Guillaume, Mehdi Khamassi, Andrea Brovelli, & Benoît Girard. (2015). Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning. Frontiers in Behavioral Neuroscience. 9. 225–225. 36 indexed citations
10.
11.
N’Guyen, Steve, et al.. (2014). Saccade learning with concurrent cortical and subcortical basal ganglia loops. Frontiers in Computational Neuroscience. 8. 48–48. 7 indexed citations
12.
Cos, Ignasi, Mehdi Khamassi, & Benoît Girard. (2013). Modelling the learning of biomechanics and visual planning for decision-making of motor actions. Journal of Physiology-Paris. 107(5). 399–408. 4 indexed citations
13.
Hilt, Pauline M., et al.. (2010). An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot.. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Dollé, Laurent, Denis Sheynikhovich, Benoît Girard, Ricardo Chavarriaga, & Agnès Guillot. (2010). Path planning versus cue responding: a bio-inspired model of switching between navigation strategies. Biological Cybernetics. 103(4). 299–317. 34 indexed citations
15.
Girard, Benoît, et al.. (2009). Crushing Virtual Cigarettes Reduces Tobacco Addiction and Treatment Discontinuation. CyberPsychology & Behavior. 12(5). 477–483. 68 indexed citations
16.
Girard, Benoît, Nicolas Tabareau, Quang‐Cuong Pham, Alain Berthoz, & J.-J.E. Slotine. (2008). Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection. Neural Networks. 21(4). 628–641. 32 indexed citations
17.
Tabareau, Nicolas, Daniel Bennequin, Alain Berthoz, Jean-Jacques Slotine, & Benoît Girard. (2007). Geometry of the superior colliculus mapping and efficient oculomotor computation. Biological Cybernetics. 97(4). 279–292. 23 indexed citations
18.
Girard, Benoît & Alain Berthoz. (2005). From brainstem to cortex: Computational models of saccade generation circuitry. Progress in Neurobiology. 77(4). 215–251. 85 indexed citations
19.
Girard, Benoît, et al.. (2003). A BASAL GANGLIA INSPIRED MODEL OF ACTION SELECTION EVALUATED IN A ROBOTIC SURVIVAL TASK. Journal of Integrative Neuroscience. 2(2). 179–200. 19 indexed citations
20.
Girard, Benoît, Diane M. Otterness, Thomas C. Wood, et al.. (1994). Human histamine N-methyltransferase pharmacogenetics: cloning and expression of kidney cDNA.. Molecular Pharmacology. 45(3). 461–468. 28 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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