Sylvain Berlemont

565 total citations
16 papers, 383 citations indexed

About

Sylvain Berlemont is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Media Technology. According to data from OpenAlex, Sylvain Berlemont has authored 16 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Media Technology. Recurrent topics in Sylvain Berlemont's work include Medical Image Segmentation Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Image Processing Techniques and Applications (4 papers). Sylvain Berlemont is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Image Processing Techniques and Applications (4 papers). Sylvain Berlemont collaborates with scholars based in France, United States and Japan. Sylvain Berlemont's co-authors include Karen M. Plevock, Ingo Thievessen, Peter M. Thompson, Michael W. Davidson, Sharon L. Campbell, Clare M. Waterman, Sergey V. Plotnikov, Gaudenz Danuser, Alice E. Zemljic‐Harpf and Robert S. Ross and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and IEEE Transactions on Image Processing.

In The Last Decade

Sylvain Berlemont

14 papers receiving 376 citations

Peers

Sylvain Berlemont
Comparison fields: 5 of 74
  • Cell Biology 177
  • Molecular Biology 88
  • Biophysics 79
  • Immunology and Allergy 74
  • Computer Vision and Pattern Recognition 61
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Citations per field, relative to Sylvain Berlemont
Sylvain Berlemont · 1×
Citations per year, relative to Sylvain Berlemont
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Countries citing papers authored by Sylvain Berlemont

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Berlemont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Berlemont

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Berlemont. A scholar is included among the top collaborators of Sylvain Berlemont 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 Sylvain Berlemont. Sylvain Berlemont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 5
2 7
3 4
4 26
5 4
6
Deep Learning based diagnosis of Sjögren syndrome using In Vivo Confocal Microscopy
0
7 0
8 32
9 200
10 25
11 2
12 6
13 2
14 4
15 1
16 65

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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2026