Bernard Péroche

832 citations
38 papers · 522 · h-index 13

Impact in

Papers in

Bernard Péroche

36 papers receiving 472 citations

Peers

Bernard Péroche
Comparison fields: 5 of 59
  • Computer Graphics and Computer-Aided Design 257
  • Computational Theory and Mathematics 203
  • Computer Vision and Pattern Recognition 230
  • Discrete Mathematics and Combinatorics 28
  • Geometry and Topology 74
Replace Daniel Meister with:
Daniel Meister Norway
Nimish R. Shah United States
Éric Colin de Verdière France
Alper Üngör United States
Ramsay Dyer Canada
Robert R. Lewis United States
Ann Dooms Belgium
Yukiko Kenmochi⋆ France
Artiom Kovnatsky Switzerland
Ari Gross United States
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Citations per field
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Citations per year

Countries citing papers authored by Bernard Péroche

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Péroche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Bernard Péroche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernard Péroche Line = papers co-authored together Bernard Péroche links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
200060
2 198449
3 198443
4 200436
5 199334
6 200732
7 198229
8 199429
9 199320
10 199718
11 198216
12 200215
13 198313
14 199811
15 199811
16 198411
17 200111
18 198710
19 200010
20 19919

About Bernard Péroche

Bernard Péroche is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Networks and Communications and Geometry and Topology, having authored 38 papers that have together received 522 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (13 papers), Computer Graphics and Visualization Techniques (12 papers), Graph theory and applications (7 papers), Advanced Vision and Imaging (7 papers), Color Science and Applications (6 papers), Image Enhancement Techniques (5 papers), Interconnection Networks and Systems (5 papers) and Graph Labeling and Dimension Problems (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (257 citations), Computational Theory and Mathematics (203 citations), Computer Vision and Pattern Recognition (230 citations), Discrete Mathematics and Combinatorics (28 citations) and Geometry and Topology (74 citations). Bernard Péroche has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Holly Rushmeier, Michel Habib, Hikoe Enomoto, Dominique Michelucci, Michel Perrin, Jean‐Luc Fouquet, J Bermond, Alain Trémeau and Djamchid Ghazanfarpour. Their work appears in journals such as Computer Graphics Forum, Discrete Mathematics, Computers & Graphics, Journal of Graph Theory and Computer-Aided Design.

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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