Yan Gérard

462 citations
26 papers · 211 · h-index 8

Impact in

Papers in

Yan Gérard

25 papers receiving 201 citations

Peers

Yan Gérard
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 56
  • Computer Vision and Pattern Recognition 143
  • Aerospace Engineering 61
  • Geology 13
  • Computational Mechanics 47
Replace Pengfei Dou with:
Pengfei Dou United States
Carlos Brito‐Loeza Mexico
Lori Freitag Diachin United States
Günter Knittel Germany
Yuelong Li China
John E. Wetzel United States
A. A. Ardentov Russia
Ognyan Kounchev Bulgaria
Emanuele Paolini Italy
Maria Charina Germany
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Citations per field
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Citations per year

Countries citing papers authored by Yan Gérard

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gérard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan Gérard, 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 Yan Gérard Line = papers co-authored together Yan Gérard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201242
3 199820
4 200316
5 200512
6 200111
7 200210
8 20058
9 20147
10 20194
11 20223
12 20013
13 20053
14 20222
15 20022
16 20202
17 20231
18 20231
19 20141
20 20151

About Yan Gérard

Yan Gérard is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 26 papers that have together received 211 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (18 papers), Computational Geometry and Mesh Generation (11 papers), Medical Image Segmentation Techniques (8 papers), Medical Imaging Techniques and Applications (4 papers), Topological and Geometric Data Analysis (3 papers), Robotics and Sensor-Based Localization (2 papers), graph theory and CDMA systems (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (143 citations), Aerospace Engineering (61 citations), Geology (13 citations) and Computational Mechanics (47 citations). Yan Gérard has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include François Chadebecq, Toby Collins, Adrien Bartoli, Daniel Pizarro, Maurice Nivat, Laure Tougne, Jean-Pierre Reveillès, David Cœurjolly, Sara Brunetti and Alberto Del Lungo. Their work appears in journals such as Theoretical Computer Science, Journal of Mathematical Imaging and Vision, Discrete Applied Mathematics, International Journal of STD & AIDS and Pattern Recognition.

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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