Arnaud Revel

810 total citations
20 papers, 344 citations indexed

About

Arnaud Revel is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Arnaud Revel has authored 20 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Arnaud Revel's work include Image Retrieval and Classification Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Visual Attention and Saliency Detection (3 papers). Arnaud Revel is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Visual Attention and Saliency Detection (3 papers). Arnaud Revel collaborates with scholars based in France, United Kingdom and Morocco. Arnaud Revel's co-authors include Philippe Gaussier, J.P. Banquet, Matthieu Cord, David Picard, Jacqueline Nadel, Stéphane Zrehen, Rajesh P. N. Rao, Frédé́ric Kaplan, Robert W. Mitchell and Sylvain Calinon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neural Networks.

In The Last Decade

Arnaud Revel

19 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Revel France 9 142 90 82 65 45 20 344
Domenico Maisto Italy 16 237 1.7× 67 0.7× 160 2.0× 90 1.4× 34 0.8× 27 548
Ulysses Bernardet Spain 14 187 1.3× 95 1.1× 53 0.6× 114 1.8× 14 0.3× 48 537
Eric Chown United States 8 77 0.5× 65 0.7× 119 1.5× 49 0.8× 28 0.6× 21 404
Scott Heath Australia 9 56 0.4× 86 1.0× 66 0.8× 55 0.8× 24 0.5× 24 247
Hubert Soyer United Kingdom 5 243 1.7× 130 1.4× 296 3.6× 23 0.4× 17 0.4× 8 627
Michael D. Howard United States 9 186 1.3× 125 1.4× 82 1.0× 29 0.4× 19 0.4× 23 585
Andrea Banino United Kingdom 6 200 1.4× 107 1.2× 128 1.6× 45 0.7× 43 1.0× 7 405
Thomas Voegtlin France 9 210 1.5× 70 0.8× 211 2.6× 30 0.5× 12 0.3× 17 444
Guglielmo Tamburrini Italy 14 190 1.3× 42 0.5× 108 1.3× 81 1.2× 8 0.2× 51 504

Countries citing papers authored by Arnaud Revel

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Revel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Revel

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Revel. A scholar is included among the top collaborators of Arnaud Revel 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 Arnaud Revel. Arnaud Revel 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.
Revel, Arnaud, et al.. (2020). RHIZOME ARCHITECTURE: An Adaptive Neurobehavioral Control Architecture for Cognitive Mobile Robots—Application in a Vision-Based Indoor Robot Navigation Context. International Journal of Social Robotics. 12(3). 659–688. 3 indexed citations
2.
Nguyen, Nhu-Van, Christophe Rigaud, Arnaud Revel, & Jean-Christophe Burie. (2020). A learning approach with incomplete pixel-level labels for deep neural networks. Neural Networks. 130. 111–125. 2 indexed citations
3.
Rigaud, Christophe, et al.. (2016). An ontology-based framework for the automated analysis and interpretation of comic books’ images. Information Sciences. 378. 109–130. 15 indexed citations
4.
Courboulay, Vincent, et al.. (2016). Improvement of natural image search engines results by emotional filtering. SHILAP Revista de lepidopterología. 3(6). 151164–151164. 1 indexed citations
5.
Revel, Arnaud, et al.. (2015). One gaze is worth ten thousand (key-)words. HAL (Le Centre pour la Communication Scientifique Directe). 8. 3150–3154. 1 indexed citations
6.
Revel, Arnaud, et al.. (2015). Mobile Agent Security Using ID-Based Agreement Protocol and Binary Serialization. International Journal of Security and Its Applications. 9(5). 19–30. 1 indexed citations
7.
Bertet, Karell, et al.. (2012). Ontologies et relations spatiales dans la lecture d'une bande dessinée. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
8.
Bertet, Karell, et al.. (2012). An Approach to Semantic Content Based Image Retrieval Using Logical Concept Analysis.. 53–56. 1 indexed citations
9.
Picard, David, Arnaud Revel, & Matthieu Cord. (2010). An application of swarm intelligence to distributed image retrieval. Information Sciences. 192. 71–81. 26 indexed citations
10.
Picard, David, Matthieu Cord, & Arnaud Revel. (2008). Image Retrieval Over Networks: Active Learning Using Ant Algorithm. IEEE Transactions on Multimedia. 10(7). 1356–1365. 9 indexed citations
11.
Revel, Arnaud, et al.. (2007). Human–machine interaction as a model of machine–machine interaction: how to make machines interact as humans do. Advanced Robotics. 21(15). 1709–1723. 13 indexed citations
12.
Nehaniv, Chrystopher L., Geoffrey Bird, Darrin C. Bentivegna, et al.. (2007). Imitation and Social Learning in Robots, Humans and Animals. Cambridge University Press eBooks. 72 indexed citations
13.
Revel, Arnaud. (2005). From Robots to Web-Agents: Building Cognitive Software Agents for Web-Information Retrieval by Taking Inspiration from Experience in Robotics. HAL (Le Centre pour la Communication Scientifique Directe). 12. 434–437. 7 indexed citations
14.
Nadel, Jacqueline, et al.. (2004). Toward communication. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 5(1). 45–74. 48 indexed citations
15.
Revel, Arnaud, et al.. (2003). Multifonctionnalité des systèmes diversifiés dans les exploitations agricoles du Languedoc-Roussillon. Agritrop (Cirad). 3 indexed citations
16.
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
17.
Gaussier, Philippe, et al.. (2002). Visual navigation in an open environment without map. 2. 545–550. 31 indexed citations
18.
Gaussier, Philippe, et al.. (2002). Learning to build visual categories from perception-action associations. 2. 857–864. 5 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.
Revel, Arnaud, et al.. (1998). Planification versus Sensory-Motor Conditioning: What Are the Issues?. The MIT Press eBooks. 129–138. 9 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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