Philippe Gaussier

2.7k total citations
95 papers, 1.2k citations indexed

About

Philippe Gaussier is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Philippe Gaussier has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 28 papers in Artificial Intelligence and 20 papers in Social Psychology. Recurrent topics in Philippe Gaussier's work include Neural dynamics and brain function (20 papers), Memory and Neural Mechanisms (19 papers) and Reinforcement Learning in Robotics (13 papers). Philippe Gaussier is often cited by papers focused on Neural dynamics and brain function (20 papers), Memory and Neural Mechanisms (19 papers) and Reinforcement Learning in Robotics (13 papers). Philippe Gaussier collaborates with scholars based in France, Switzerland and Ukraine. Philippe Gaussier's co-authors include J.P. Banquet, Mathias Quoy, Sorin Moga, Arnaud Revel, Pierre Andry, Stéphane Zrehen, Nicolas Cuperlier, Sofiane Boucenna, Carine Giovannangeli and Étienne Save and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Philippe Gaussier

89 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Gaussier France 20 690 323 307 278 211 95 1.2k
J.P. Banquet France 18 748 1.1× 169 0.5× 124 0.4× 124 0.4× 202 1.0× 33 1.1k
Christian Balkenius Sweden 20 832 1.2× 221 0.7× 371 1.2× 146 0.5× 191 0.9× 117 1.5k
Verena V. Hafner Germany 17 500 0.7× 369 1.1× 537 1.7× 212 0.8× 42 0.2× 82 1.4k
Jochen Triesch Germany 31 1.8k 2.6× 356 1.1× 434 1.4× 765 2.8× 414 2.0× 188 3.2k
Andrew Duchon United States 10 1.1k 1.6× 264 0.8× 97 0.3× 230 0.8× 107 0.5× 17 1.7k
Francesco Donnarumma Italy 17 550 0.8× 381 1.2× 211 0.7× 91 0.3× 49 0.2× 45 1.1k
Wolfram Erlhagen Portugal 20 1.0k 1.5× 398 1.2× 274 0.9× 175 0.6× 129 0.6× 80 1.7k
V. Tagliasco Italy 14 579 0.8× 147 0.5× 70 0.2× 205 0.7× 72 0.3× 31 1.2k
Toshio Inui Japan 24 1.2k 1.7× 566 1.8× 226 0.7× 110 0.4× 44 0.2× 109 1.9k
Angelo Arleo France 21 1.0k 1.5× 63 0.2× 98 0.3× 121 0.4× 787 3.7× 81 1.8k

Countries citing papers authored by Philippe Gaussier

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Gaussier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Gaussier

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Gaussier. A scholar is included among the top collaborators of Philippe Gaussier 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 Philippe Gaussier. Philippe Gaussier 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.
Cuperlier, Nicolas, et al.. (2022). LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments. Frontiers in Robotics and AI. 8. 703811–703811. 2 indexed citations
2.
Gaussier, Philippe, Nicolas Cuperlier, Vincent Hok, et al.. (2020). Time as the fourth dimension in the hippocampus. Progress in Neurobiology. 199. 101920–101920. 18 indexed citations
3.
Pitti, Alexandre, et al.. (2020). Working-memory prefrontal model for cognitive flexibility in task-switching and selection. 6. 1–7. 2 indexed citations
4.
Gaussier, Philippe, J.P. Banquet, Nicolas Cuperlier, et al.. (2019). Merging information in the entorhinal cortex: what can we learn from robotics experiments and modeling?. Journal of Experimental Biology. 222(Suppl_1). 15 indexed citations
5.
Pitti, Alexandre, et al.. (2019). Brain-Inspired Coding of Robot Body Schema Through Visuo-Motor Integration of Touched Events. Frontiers in Neurorobotics. 13. 5–5. 10 indexed citations
6.
Pitti, Alexandre, Philippe Gaussier, & Mathias Quoy. (2017). Iterative free-energy optimization for recurrent neural networks (INFERNO). PLoS ONE. 12(3). e0173684–e0173684. 7 indexed citations
7.
Cuperlier, Nicolas, et al.. (2015). From grid cells and visual place cells to multimodal place cell: a new robotic architecture. Frontiers in Neurorobotics. 9. 1–1. 33 indexed citations
8.
Cuperlier, Nicolas, et al.. (2015). Emotional modulation of peripersonal space impacts the way robots interact. 431–437. 2 indexed citations
9.
Vidal, Denis & Philippe Gaussier. (2014). Un robot comme personne. Terrain. 62. 152–165. 4 indexed citations
10.
Cuperlier, Nicolas, et al.. (2013). From self-assessment to frustration, a small step toward autonomy in robotic navigation. Frontiers in Neurorobotics. 7. 16–16. 20 indexed citations
11.
Gaussier, Philippe, et al.. (2013). The hippocampo-cortical loop: Spatio-temporal learning and goal-oriented planning in navigation. Neural Networks. 43. 8–21. 18 indexed citations
12.
Pitti, Alexandre, Yasuo Kuniyoshi, Mathias Quoy, & Philippe Gaussier. (2013). Modeling the Minimal Newborn's Intersubjective Mind: The Visuotopic-Somatotopic Alignment Hypothesis in the Superior Colliculus. PLoS ONE. 8(7). e69474–e69474. 17 indexed citations
13.
Fournier, Emmanuel, et al.. (2006). Cognitive map plasticity and imitation strategies to extend the performance of a MAS.. 43(1). 326–333. 1 indexed citations
14.
Andry, Pierre, Philippe Gaussier, & Jacqueline Nadel. (2005). Autonomous learning and reproduction of complexsequences: a multimodal architecture forbootstraping imitation games. International Wound Journal. 8(4). 336–42. 1 indexed citations
15.
Poucet, Bruno, Pierre‐Pascal Lenck‐Santini, Vincent Hok, et al.. (2004). Spatial Navigation and Hippocampal Place Cell Firing: The Problem of Goal Encoding. Reviews in the Neurosciences. 15(2). 89–107. 74 indexed citations
16.
Quoy, Mathias, et al.. (2002). Learning and motivational couplings promote smarter behaviors of an animat in an unknown world. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Gaussier, Philippe, et al.. (2002). Bouche robotique versus bouche humaine : un dispositif d'étude de l'imitation néonatale. Enfance. 54(4). 409–409. 1 indexed citations
18.
Gaussier, Philippe, et al.. (2002). From view cells and place cells to cognitive map learning: processing stages of the hippocampal system. Biological Cybernetics. 86(1). 15–28. 94 indexed citations
19.
Revel, Arnaud, et al.. (1999). Taking inspiration from the Hippocampus can help solving robotics problems.. The European Symposium on Artificial Neural Networks. 357–362. 2 indexed citations
20.
Nicoud, Jean-Daniel & Philippe Gaussier. (1994). Perception to Action Conference, 1994. IEEE Computer Society Press eBooks. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J.P. Banquet Breakdown of academic impact, for papers by Christian Balkenius Breakdown of academic impact, for papers by Verena V. Hafner Breakdown of academic impact, for papers by Jochen Triesch Breakdown of academic impact, for papers by Andrew Duchon Breakdown of academic impact, for papers by Francesco Donnarumma Breakdown of academic impact, for papers by Wolfram Erlhagen Breakdown of academic impact, for papers by V. Tagliasco Breakdown of academic impact, for papers by Toshio Inui Breakdown of academic impact, for papers by Angelo Arleo
Rankless by CCL
2026