Benjamin Perret

617 total citations
26 papers, 205 citations indexed

About

Benjamin Perret is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Theory and Mathematics. According to data from OpenAlex, Benjamin Perret has authored 26 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Benjamin Perret's work include Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (5 papers). Benjamin Perret is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (5 papers). Benjamin Perret collaborates with scholars based in France, Brazil and United States. Benjamin Perret's co-authors include C. Collet, Sébastien Lefèvre, Jean Cousty, Silvio Jamil F. Guimarães, E. Slezak, Hugues Talbot, Laurent Najman, Olena Tankyevych, Nicolas Passat and Yukiko Kenmochi⋆ and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Benjamin Perret

23 papers receiving 194 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Perret France 9 125 49 23 21 15 26 205
Nikola Simidjievski Slovenia 7 55 0.4× 46 0.9× 6 0.3× 84 4.0× 9 0.6× 17 241
Albert Oliveras Spain 7 305 2.4× 110 2.2× 21 0.9× 35 1.7× 27 1.8× 18 460
Miyoun Jung South Korea 10 294 2.4× 99 2.0× 11 0.5× 18 0.9× 11 0.7× 29 365
Miguel Hernández-Cabronero Spain 10 249 2.0× 53 1.1× 11 0.5× 65 3.1× 2 0.1× 43 318
Georges Koepfler France 5 213 1.7× 51 1.0× 14 0.6× 12 0.6× 23 1.5× 11 270
Duc Dung Nguyen Vietnam 7 93 0.7× 25 0.5× 16 0.7× 13 0.6× 25 1.7× 26 247
Célia A. Zorzo Barcelos Brazil 11 275 2.2× 67 1.4× 18 0.8× 57 2.7× 6 0.4× 40 381
Pengyuan Li China 11 66 0.5× 6 0.1× 15 0.7× 40 1.9× 6 0.4× 48 303
Maurice Weiler Netherlands 4 158 1.3× 20 0.4× 11 0.5× 61 2.9× 22 1.5× 7 261
Shir Gur Israel 4 109 0.9× 52 1.1× 16 0.7× 63 3.0× 4 0.3× 5 165

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-authorship network of co-authors of Benjamin Perret

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Perret. A scholar is included among the top collaborators of Benjamin Perret 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 Benjamin Perret. Benjamin Perret 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
1.
Perret, Benjamin, et al.. (2025). Efficient Multiscale Object-based Superpixel Framework. Journal of the Brazilian Computer Society. 31(1). 355–372.
2.
Cousty, Jean, et al.. (2024). Incremental watershed cuts: Interactive segmentation algorithm with parallel strategy. Pattern Recognition Letters. 189. 256–263.
3.
Perret, Benjamin, et al.. (2023). Novel Arc-Cost Functions and Seed Relevance Estimations for Compact and Accurate Superpixels. Journal of Mathematical Imaging and Vision. 65(5). 770–786. 2 indexed citations
4.
Chierchia, Giovanni, et al.. (2021). Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images. IEEE Access. 9. 156482–156491. 2 indexed citations
5.
Murray, Paul, et al.. (2021). Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform. SHILAP Revista de lepidopterología. 5(1). 128–152. 1 indexed citations
6.
Nkengne, Alex, Benjamin Perret, Michel Couprie, et al.. (2020). Clinical validation of a computer‐based approach for the quantification of the skin ageing process of women using in vivo confocal microscopy. Journal of the European Academy of Dermatology and Venereology. 35(1). e68–e70. 5 indexed citations
7.
Perret, Benjamin, Jean Cousty, Silvio Jamil F. Guimarães, Yukiko Kenmochi⋆, & Laurent Najman. (2019). Removing non-significant regions in hierarchical clustering and segmentation. Pattern Recognition Letters. 128. 433–439. 8 indexed citations
8.
Perret, Benjamin, et al.. (2019). Three-dimensional conditional random field for the dermal–epidermal junction segmentation. Journal of Medical Imaging. 6(2). 1–1. 9 indexed citations
9.
Perret, Benjamin, Giovanni Chierchia, Jean Cousty, et al.. (2019). Higra: Hierarchical Graph Analysis. SoftwareX. 10. 100335–100335. 19 indexed citations
10.
Murray, Paul, et al.. (2018). A Colour Hit-or-Miss Transform Based on a Rank Ordered Distance Measure. HAL (Le Centre pour la Communication Scientifique Directe). 588–592. 4 indexed citations
11.
Perret, Benjamin, et al.. (2017). Classification of the dermal-epidermal junction using in-vivo confocal microscopy. HAL (Le Centre pour la Communication Scientifique Directe). 252–255. 5 indexed citations
12.
Perret, Benjamin, et al.. (2017). Evaluation of Hierarchical Watersheds. IEEE Transactions on Image Processing. 27(4). 1676–1688. 26 indexed citations
13.
Nkengne, Alex, et al.. (2016). Automated quantification of the epidermal aging process using in-vivo confocal microscopy. HAL (Le Centre pour la Communication Scientifique Directe). 27. 1221–1224. 3 indexed citations
14.
Perret, Benjamin, Jean Cousty, Olena Tankyevych, Hugues Talbot, & Nicolas Passat. (2014). Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(6). 1162–1176. 23 indexed citations
15.
Perret, Benjamin. (2014). Inf-structuring Functions: A Unifying Theory of Connections and Connected Operators. Journal of Mathematical Imaging and Vision. 51(1). 171–194. 1 indexed citations
16.
Vollmer, B., Benjamin Perret, C. Collet, et al.. (2013). SIMULTANEOUS MULTI-BAND DETECTION OF LOW SURFACE BRIGHTNESS GALAXIES WITH MARKOVIAN MODELING. The Astronomical Journal. 145(2). 36–36. 5 indexed citations
17.
Perret, Benjamin, Sébastien Lefèvre, C. Collet, & E. Slezak. (2011). Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing. IEEE Transactions on Image Processing. 21(1). 14–27. 22 indexed citations
18.
Perret, Benjamin, Sébastien Lefèvre, Christophe Collet, & E. Slezak. (2010). Connected Component Trees for Multivariate Image Processing and Applications in Astronomy. 7. 4089–4092. 16 indexed citations
19.
Perret, Benjamin, Vincent Mazet, Christophe Collet, & E. Slezak. (2010). Hierarchical multispectral galaxy decomposition using a MCMC algorithm with multiple temperature simulated annealing. Pattern Recognition. 44(6). 1328–1342. 1 indexed citations
20.
Louys, Mireille, Benjamin Perret, B. Vollmer, et al.. (2008). LSB Galaxies Detection Using Markovian Segmentation on Astronomical Images. 394. 125. 1 indexed citations

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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