Benjamin Perret

640 citations
48 papers · 404 · h-index 11

Impact in

    • Medical Image Segmentation Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Visual Attention and Saliency Detection
    • Digital Image Processing Techniques
    • Advanced Neural Network Applications
    • Remote-Sensing Image Classification

Papers in

Benjamin Perret

40 papers receiving 391 citations

Peers

Benjamin Perret
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 266
  • Media Technology 75
  • Biophysics 33
  • Computational Theory and Mathematics 51
  • Computer Graphics and Computer-Aided Design 10
Replace V. Masilamani with:
V. Masilamani India
Edwin Carlinet France
Albert Oliveras Spain
Ilya Pollak United States
Lanqing Guo Singapore
Christian Feddern Germany
José Crespo Spain
Chee-Way Chong Malaysia
Célia A. Zorzo Barcelos Brazil
Georges Koepfler France
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Perret

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201356
2 201736
3 201332
4 200931
5 201130
6 201430
7 201928
8 201018
9 201415
10 201514
11 201913
12 20179
13 20199
14 20206
15 20136
16 20206
17 20176
18 20136
19 20164
20 20224

About Benjamin Perret

Benjamin Perret is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Media Technology, Signal Processing and Biophysics, having authored 48 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Medical Image Segmentation Techniques (14 papers), Image Retrieval and Classification Techniques (13 papers), Visual Attention and Saliency Detection (7 papers), Rough Sets and Fuzzy Logic (7 papers), Digital Image Processing Techniques (5 papers), Topological and Geometric Data Analysis (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Media Technology (75 citations), Biophysics (33 citations), Computational Theory and Mathematics (51 citations) and Computer Graphics and Computer-Aided Design (10 citations). Benjamin Perret has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Jean Cousty, Laurent Najman, C. Collet, Sébastien Lefèvre, Silvio Jamil F. Guimarães, Hugues Talbot, E. Slezak, Yukiko Kenmochi⋆, Olena Tankyevych and Christophe Collet. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Pattern Recognition Letters, Lecture notes in computer science, IEEE Transactions on Image Processing 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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