Denis Pellerin

152 total papers · 1.2k total citations
50 papers, 600 citations indexed

About

Denis Pellerin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Denis Pellerin has authored 50 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 8 papers in Human-Computer Interaction. Recurrent topics in Denis Pellerin's work include Advanced Vision and Imaging (18 papers), Advanced Image Processing Techniques (8 papers) and Visual Attention and Saliency Detection (7 papers). Denis Pellerin is often cited by papers focused on Advanced Vision and Imaging (18 papers), Advanced Image Processing Techniques (8 papers) and Visual Attention and Saliency Detection (7 papers). Denis Pellerin collaborates with scholars based in France, Greece and Switzerland. Denis Pellerin's co-authors include Nathalie Guyader, Lionel Granjon, Anne Guérin-Dugué, Dominique Houzet, Guanghan Song, Michèle Rombaut, Emmanuel Ramasso, Anis Ur Rahman, Costas Panagiotakis and Patricia Ladret and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Denis Pellerin

43 papers receiving 575 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Denis Pellerin 422 167 112 75 57 50 600
Anne Guérin-Dugué 345 0.8× 301 1.8× 112 1.0× 73 1.0× 52 0.9× 42 690
Hamed R. Tavakoli 442 1.0× 90 0.5× 102 0.9× 62 0.8× 19 0.3× 47 525
Wolf Kienzle 378 0.9× 262 1.6× 229 2.0× 24 0.3× 29 0.5× 18 690
Philippe Guillotel 228 0.5× 286 1.7× 173 1.5× 21 0.3× 189 3.3× 41 609
Xosé M. Pardo 503 1.2× 142 0.9× 107 1.0× 98 1.3× 9 0.2× 38 683
Pradeep Buddharaju 287 0.7× 67 0.4× 100 0.9× 16 0.2× 114 2.0× 20 678
Larisa Dunai 87 0.2× 283 1.7× 77 0.7× 69 0.9× 44 0.8× 72 570
Jarrell Pair 208 0.5× 106 0.6× 290 2.6× 25 0.3× 56 1.0× 36 681
André Hinkenjann 236 0.6× 155 0.9× 236 2.1× 12 0.2× 28 0.5× 51 522
Ulysses Bernardet 94 0.2× 185 1.1× 103 0.9× 28 0.4× 42 0.7× 48 527

Countries citing papers authored by Denis Pellerin

Since Specialization
Citations

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

Fields of papers citing papers by Denis Pellerin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Pellerin

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

All Works

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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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