Sébastien Chabrier

574 total citations
21 papers, 260 citations indexed

About

Sébastien Chabrier is a scholar working on Computer Vision and Pattern Recognition, Ecology, Evolution, Behavior and Systematics and Biomaterials. According to data from OpenAlex, Sébastien Chabrier has authored 21 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 3 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Biomaterials. Recurrent topics in Sébastien Chabrier's work include Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sébastien Chabrier is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sébastien Chabrier collaborates with scholars based in France, French Polynesia and Canada. Sébastien Chabrier's co-authors include Christophe Rosenberger, Hélène Laurent, Bruno Emile, Youjun Zhang, Gilles Le Moullac, Yann Czorlich, Claude Soyez, Yannick Gueguen, Alban Gabillon and Corinne Belliard and has published in prestigious journals such as Scientific Reports, Journal of Experimental Biology and Reviews in Aquaculture.

In The Last Decade

Sébastien Chabrier

19 papers receiving 238 citations

Peers

Sébastien Chabrier
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 178
  • Media Technology 73
  • Artificial Intelligence 31
  • Global and Planetary Change 25
  • Ecology 25
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Liqun Lin China
Teresa E. Alarcón Mexico
Jean Pierre Cocquerez France
Detian Huang China
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Mustansar Fiaz United Arab Emirates
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Citations per field, relative to Sébastien Chabrier
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Citations per year, relative to Sébastien Chabrier
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Countries citing papers authored by Sébastien Chabrier

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Chabrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Chabrier

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Chabrier. A scholar is included among the top collaborators of Sébastien Chabrier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sébastien Chabrier. Sébastien Chabrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 2
5 13
6 2
7 8
8 1
9
Comparative study of contour detection evaluation criteria based on dissimilarity measures
24
10 18
11 26
12 2
13 1
14 10
15 2
16
Fusion de critères pour l'évaluation de résultats de segmentation d'images
2
17 29
18 12
19 10
20
Etude comparative de critères d'évaluation de la segmentation
5

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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