Michel Couprie

3.0k citations
67 papers · 1.4k · h-index 20

Impact in

Papers in

Michel Couprie

65 papers receiving 1.3k citations

Peers

Michel Couprie
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 958
  • Computer Graphics and Computer-Aided Design 97
  • Biophysics 115
  • Media Technology 106
  • Computational Theory and Mathematics 172
Replace Arnold Meijster with:
Arnold Meijster Netherlands
P.W. Verbeek Netherlands
Per‐Erik Danielsson Sweden
Lifeng He China
Mikaël Rousson United States
Zichen Zhang China
Gabriella Sanniti di Baja Italy
Jaejun Yoo South Korea
J.-M. Chassery France
Jean Serra France
Michel Couprie relative to Arnold Meijster Netherlands Arnold Meijster's profile →
Citations per field
00.5×3.5×
Arnold Meijster · 1×
Citations per year

Countries citing papers authored by Michel Couprie

Since Specialization
Citations

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

Fields of papers citing papers by Michel Couprie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 2006129
3 2009102
4 199784
5 201060
6 200252
7 200245
8 200642
9 200541
10 200935
11 200135
12 200934
13 200431
14 200330
15 201029
16 200826
17 201023
18 201023
19 200421
20 200920

About Michel Couprie

Michel Couprie is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (44 papers), Medical Image Segmentation Techniques (36 papers), Topological and Geometric Data Analysis (16 papers), Computational Geometry and Mesh Generation (13 papers), Image Retrieval and Classification Techniques (10 papers), Distributed systems and fault tolerance (5 papers), Advanced Database Systems and Queries (5 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (958 citations), Computer Graphics and Computer-Aided Design (97 citations), Biophysics (115 citations), Media Technology (106 citations) and Computational Theory and Mathematics (172 citations). Michel Couprie has collaborated with scholars based in France, Brazil and Poland. Frequent co-authors include Gilles Bertrand, Laurent Najman, Jean Cousty, Hugues Talbot, Nicolas Passat, David Cœurjolly, Stéphanie Clément-Guinaudeau, Arnaldo de Albuquerque Araújo, Silvio Jamil F. Guimarães and Neucimar J. Leite. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Image and Vision Computing, Pattern Recognition Letters, Discrete Applied Mathematics 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.

Explore authors with similar magnitude of impact