Stéphanie Jehan‐Besson

998 citations
23 papers · 555 indexed · h-index 13
Topics
Medical Image Segmentation Techniques (20 papers)Image Retrieval and Classification Techniques (11 papers)Image and Object Detection Techniques (7 papers)
Partner nations
FranceNetherlandsGermany

In The Last Decade

Stéphanie Jehan‐Besson

23 papers receiving 529 citations

Peers

Stéphanie Jehan‐Besson
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 488
  • Radiology, Nuclear Medicine and Imaging 71
  • Computational Mechanics 61
  • Media Technology 54
  • Artificial Intelligence 50
Replace Huan Xu with:
Huan Xu China
Carole Le Guyader France
Sheshadri Thiruvenkadam United States
M.-P. Dubuisson-Jolly United States
P. Brigger Switzerland
Ben Appleton Australia
J.A. Vlontzos United States
P. Saint-Marc United States
Samuel Dambreville United States
Nils Papenberg Germany
Stéphanie Jehan‐Besson relative to Huan Xu China Huan Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stéphanie Jehan‐Besson

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie Jehan‐Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphanie Jehan‐Besson. 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 Stéphanie Jehan‐Besson. The network helps show where Stéphanie Jehan‐Besson may publish in the future.

Co-authorship network of co-authors of Stéphanie Jehan‐Besson

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphanie Jehan‐Besson. A scholar is included among the top collaborators of Stéphanie Jehan‐Besson 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 Stéphanie Jehan‐Besson. Stéphanie Jehan‐Besson 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
#WorkIndexed citations
1 6
2 16
3 23
4 2
5 12
6
Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing
4
7 1
8 8
9 4
10 35
11 13
12 9
13 2
14 20
15 14
16 141
17 36
18 14
19 14
20 44

About Stéphanie Jehan‐Besson

Stéphanie Jehan‐Besson is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 23 papers that have together received 555 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Image Retrieval and Classification Techniques (11 papers) and Image and Object Detection Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (488 citations), Biophysics (36 citations) and Media Technology (54 citations). Stéphanie Jehan‐Besson has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Gilles Aubert, Michel Barlaud, Olivier Faugeras, Ariane Herbulot, Marinette Revenu, Stefan Duffner, Jalal Fadili, Eric Saloux, Jonas Koko and M. Borland. Their work appears in journals such as PLoS ONE, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.

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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