Bernard Péroche

828 citations
32 papers · 432 indexed · h-index 12

Impact in

Papers in

Bernard Péroche

31 papers receiving 395 citations

Peers

Bernard Péroche
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 210
  • Computational Theory and Mathematics 169
  • Computer Vision and Pattern Recognition 182
  • Geometry and Topology 67
  • Discrete Mathematics and Combinatorics 23
Replace Daniel Meister with:
Daniel Meister Germany
Éric Colin de Verdière France
Nimish R. Shah United States
Daniel Fontijne Netherlands
Alper Üngör United States
Xiaotian Yin United States
Ramsay Dyer Canada
Robert R. Lewis United States
Ari Gross United States
Shripad Thite United States
Bernard Péroche relative to Daniel Meister Germany Daniel Meister's profile →
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-authorship network

The 8 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
#Work
1 200731
2 20034
3 200214
4 20026
5 20002
6 20003
7 19996
8 19941
9 19932
10 199330
11 199313
12 19918
13 19891
14 19879
15
The GZ-buffer Method for Antialiasing
19861
16 19861
17 198440
18 198447
19 198312
20 198228

About Bernard Péroche

Bernard Péroche is a scholar working on Computer Graphics and Computer-Aided Design, Geometry and Topology, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 432 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), Advanced Graph Theory Research (10 papers), Advanced Vision and Imaging (7 papers), Graph theory and applications (6 papers), Color Science and Applications (5 papers), Interconnection Networks and Systems (4 papers), Image Enhancement Techniques (4 papers) and Graph Labeling and Dimension Problems (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (210 citations), Computational Theory and Mathematics (169 citations), Computer Vision and Pattern Recognition (182 citations), Geometry and Topology (67 citations) and Discrete Mathematics and Combinatorics (23 citations). Bernard Péroche has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Holly Rushmeier, Hikoe Enomoto, Michel Habib, 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, Computer-Aided Design and Discrete Applied Mathematics.

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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