Bertrand Kerautret

768 total citations
29 papers, 276 citations indexed

About

Bertrand Kerautret is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Nature and Landscape Conservation. According to data from OpenAlex, Bertrand Kerautret has authored 29 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 3 papers in Nature and Landscape Conservation. Recurrent topics in Bertrand Kerautret's work include Digital Image Processing Techniques (10 papers), Medical Image Segmentation Techniques (8 papers) and Image and Object Detection Techniques (7 papers). Bertrand Kerautret is often cited by papers focused on Digital Image Processing Techniques (10 papers), Medical Image Segmentation Techniques (8 papers) and Image and Object Detection Techniques (7 papers). Bertrand Kerautret collaborates with scholars based in France, United States and Tunisia. Bertrand Kerautret's co-authors include Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud, Jacques‐Olivier Lachaud, Jean-Michel Leban, Pascal Monasse, Miguel Colom, Thiéry Constant, Pieter Meiert Grootes and Francis Colin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Medical Imaging.

In The Last Decade

Bertrand Kerautret

27 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bertrand Kerautret France 10 99 74 48 46 34 29 276
Juan M. Jurado Spain 13 93 0.9× 196 2.6× 10 0.2× 19 0.4× 10 0.3× 40 453
Jianchen Liu China 9 78 0.8× 142 1.9× 45 0.9× 6 0.1× 10 0.3× 35 401
Marcin Iwanowski Poland 9 79 0.8× 28 0.4× 23 0.5× 16 0.3× 10 0.3× 30 398
Romain Neuville Belgium 10 69 0.7× 232 3.1× 38 0.8× 74 1.6× 3 0.1× 16 363
Bisheng Yang China 5 58 0.6× 241 3.3× 68 1.4× 17 0.4× 4 0.1× 9 326
Yanqi Dong China 10 36 0.4× 206 2.8× 130 2.7× 6 0.1× 6 0.2× 20 331
Joakim Bruslund Haurum Denmark 9 119 1.2× 39 0.5× 18 0.4× 8 0.2× 22 0.6× 14 340
Aijun Xu China 9 44 0.4× 92 1.2× 26 0.5× 3 0.1× 11 0.3× 35 303
Ángel Luis Fernández Muñoz Spain 10 57 0.6× 171 2.3× 1 0.0× 32 0.7× 13 0.4× 26 436
Zining Wang China 9 116 1.2× 95 1.3× 44 0.9× 6 0.1× 13 0.4× 14 284

Countries citing papers authored by Bertrand Kerautret

Since Specialization
Citations

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

Fields of papers citing papers by Bertrand Kerautret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertrand Kerautret

This figure shows the co-authorship network connecting the top 25 collaborators of Bertrand Kerautret. A scholar is included among the top collaborators of Bertrand Kerautret 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 Bertrand Kerautret. Bertrand Kerautret 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.
Beaurepaire, Pierre, Guillaume Dollé, Benoît Magnin, et al.. (2025). The R-Vessel-X Project. IRBM. 46(1). 100876–100876. 1 indexed citations
2.
Drira, Fadoua, et al.. (2024). Synergistic insights: Exploring continuous learning and explainable AI in handwritten digit recognition. Neurocomputing. 601. 128217–128217. 4 indexed citations
3.
Kerautret, Bertrand, et al.. (2023). OpenCCO: An Implementation of Constrained Constructive Optimization for Generating 2D and 3D Vascular Trees. Image Processing On Line. 13. 258–279. 4 indexed citations
4.
Kerautret, Bertrand, et al.. (2023). Reproducible Research in Pattern Recognition. Lecture notes in computer science.
5.
Truong, Charles, et al.. (2022). The approach to reproducible research of the Image Processing On Line (IPOL) journal. SHILAP Revista de lepidopterología. 27(1). 1 indexed citations
6.
Kerautret, Bertrand, et al.. (2021). Reproducible Research in Pattern Recognition. Lecture notes in computer science. 4 indexed citations
7.
Constant, Thiéry, et al.. (2020). A machine-learning approach for classifying defects on tree trunks using terrestrial LiDAR. Computers and Electronics in Agriculture. 171. 105332–105332. 22 indexed citations
8.
Kerautret, Bertrand, Miguel Colom, Daniel Lopresti, Pascal Monasse, & Hugues Talbot. (2019). Reproducible Research in Pattern Recognition. Lecture notes in computer science. 1 indexed citations
9.
Debled-Rennesson, Isabelle, et al.. (2017). Analysis of Noisy Digital Contours with Adaptive Tangential Cover. Journal of Mathematical Imaging and Vision. 59(1). 123–135.
10.
Monasse, Pascal, Miguel Colom, & Bertrand Kerautret. (2017). Reproducible Research in Pattern Recognition. Lecture notes in computer science. 15 indexed citations
11.
Kerautret, Bertrand, et al.. (2016). Segmentation of defects on log surface from terrestrial lidar data. 3168–3173. 4 indexed citations
12.
Kerautret, Bertrand, et al.. (2014). Knot segmentation in 3D CT images of wet wood. Pattern Recognition. 47(12). 3852–3869. 16 indexed citations
13.
Kerautret, Bertrand & Jacques‐Olivier Lachaud. (2014). Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours. Image Processing On Line. 4. 98–115. 2 indexed citations
14.
Debled-Rennesson, Isabelle, et al.. (2013). Discrete Geometry for Computer Imagery. Discrete Applied Mathematics. 161(15). 2223–2223. 9 indexed citations
15.
Debled-Rennesson, Isabelle, et al.. (2013). Special Issue on Discrete Geometry for Computer Imagery. Computer Vision and Image Understanding. 117(4). 305–305. 1 indexed citations
16.
Kerautret, Bertrand, et al.. (2012). Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(12). 2379–2392. 11 indexed citations
17.
Longuetaud, Fleur, et al.. (2012). Automatic knot detection and measurements from X-ray CT images of wood: A review and validation of an improved algorithm on softwood samples. Computers and Electronics in Agriculture. 85. 77–89. 74 indexed citations
18.
Rozzi, Fernando Ramírez, et al.. (2009). Cutmarked human remains bearing Neandertal features and modern human remains associated with the Aurignacian at Les Rois.. PubMed. 87. 153–85. 32 indexed citations
19.
Kerautret, Bertrand & Jacques‐Olivier Lachaud. (2008). Curvature estimation along noisy digital contours by approximate global optimization. Pattern Recognition. 42(10). 2265–2278. 18 indexed citations
20.
Kerautret, Bertrand, et al.. (2005). A reversible and statistical method for discrete surfaces smoothing. Computers & Graphics. 30(1). 54–61. 2 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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