Éric Andrès

860 citations
29 papers · 211 · h-index 7

Impact in

Papers in

Éric Andrès

26 papers receiving 195 citations

Peers

Éric Andrès
Comparison fields: 5 of 37
  • Computer Graphics and Computer-Aided Design 80
  • Computer Vision and Pattern Recognition 174
  • Theoretical Computer Science 4
  • Computational Theory and Mathematics 45
  • Computational Mechanics 49
Replace Jeff P. Hultquist with:
Jeff P. Hultquist United States
Cao An Wang Canada
Pascal Lagger Switzerland
Siddharth Manay United States
Marcelo Bernardes Vieira Brazil
Sigal Ar United States
Camille Wormser France
Anton Obukhov Switzerland
Enliang Zheng United States
Pascal Peter Germany
Éric Andrès relative to Jeff P. Hultquist United States Jeff P. Hultquist's profile →
Citations per field
00.5×11.3×
Jeff P. Hultquist · 1×
Citations per year

Countries citing papers authored by Éric Andrès

Since Specialization
Citations

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

Fields of papers citing papers by Éric Andrès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Éric Andrès, 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 Éric Andrès Line = papers co-authored together Éric Andrès links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199744
2 199729
3 200326
4 199719
5 200419
6 201313
7 200213
8 20085
9 20084
10 20124
11 20024
12 20113
13 20183
14 20083
15 20083
16 19963
17 20122
18 20022
19 20042
20 19962

About Éric Andrès

Éric Andrès is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Computational Theory and Mathematics and Media Technology, having authored 29 papers that have together received 211 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (17 papers), Medical Image Segmentation Techniques (10 papers), Computational Geometry and Mesh Generation (9 papers), Topological and Geometric Data Analysis (4 papers), Advanced Numerical Analysis Techniques (4 papers), Advanced Image Fusion Techniques (3 papers), Image and Object Detection Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (80 citations), Computer Vision and Pattern Recognition (174 citations), Theoretical Computer Science (4 citations), Computational Theory and Mathematics (45 citations) and Computational Mechanics (49 citations). Éric Andrès has collaborated with scholars based in France, United States and Burkina Faso. Frequent co-authors include Cláudio H. Sibata, Raj Acharya, Philippe Carré, J Françon, Valentin E. Brimkov, Reneta P. Barneva, C. Fernández‐Maloigne, Kyu H. Shin, Guillaume Damiand and Pascal Lienhardt. Their work appears in journals such as Discrete Applied Mathematics, Graphical Models, Pattern Recognition Letters, Theoretical Computer Science and Computer Graphics Forum.

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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