David Cœurjolly

1.8k total citations
63 papers, 730 citations indexed

About

David Cœurjolly is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, David Cœurjolly has authored 63 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 29 papers in Computer Graphics and Computer-Aided Design and 27 papers in Computational Mechanics. Recurrent topics in David Cœurjolly's work include Digital Image Processing Techniques (32 papers), Medical Image Segmentation Techniques (21 papers) and Advanced Numerical Analysis Techniques (19 papers). David Cœurjolly is often cited by papers focused on Digital Image Processing Techniques (32 papers), Medical Image Segmentation Techniques (21 papers) and Advanced Numerical Analysis Techniques (19 papers). David Cœurjolly collaborates with scholars based in France, United States and Germany. David Cœurjolly's co-authors include Reinhard Klette, Victor Ostromoukhov, Annick Montanvert, Jacques‐Olivier Lachaud, Nicolas Bonneel, Atilla Baskurt, Laure Tougne, Michel Couprie, Isabelle Sivignon and Florent Dupont and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

David Cœurjolly

58 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Cœurjolly France 16 461 255 242 60 52 63 730
Christian Rössl Germany 18 462 1.0× 635 2.5× 586 2.4× 39 0.7× 32 0.6× 66 971
Patrick Mullen United States 13 138 0.3× 555 2.2× 411 1.7× 22 0.4× 29 0.6× 17 727
Michael Breuß Germany 11 145 0.3× 131 0.5× 80 0.3× 18 0.3× 18 0.3× 51 328
Damiana Lazzaro Italy 13 192 0.4× 235 0.9× 33 0.1× 25 0.4× 14 0.3× 32 511
Dominique Attali France 14 335 0.7× 281 1.1× 329 1.4× 38 0.6× 112 2.2× 35 664
Toshiya Hachisuka Canada 23 1.0k 2.2× 385 1.5× 1.1k 4.6× 15 0.3× 18 0.3× 58 1.5k
Timothy J. Tautges United States 14 79 0.2× 193 0.8× 299 1.2× 131 2.2× 20 0.4× 38 543
Annick Montanvert France 12 702 1.5× 169 0.7× 210 0.9× 58 1.0× 23 0.4× 24 900
Ramsay Dyer Canada 12 206 0.4× 299 1.2× 242 1.0× 23 0.4× 66 1.3× 28 508
Oleg Davydov Germany 14 79 0.2× 490 1.9× 70 0.3× 14 0.2× 96 1.8× 63 691

Countries citing papers authored by David Cœurjolly

Since Specialization
Citations

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

Fields of papers citing papers by David Cœurjolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Cœurjolly

This figure shows the co-authorship network connecting the top 25 collaborators of David Cœurjolly. A scholar is included among the top collaborators of David Cœurjolly 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 David Cœurjolly. David Cœurjolly 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.
Cœurjolly, David, et al.. (2025). Linear-Time Transport with Rectified Flows. ACM Transactions on Graphics. 44(4). 1–13.
2.
Bonneel, Nicolas, et al.. (2025). Sobol' Sequences with Guaranteed-Quality 2D Projections. ACM Transactions on Graphics. 44(4). 1–16.
3.
Chaine, Raphaëlle, et al.. (2024). Neural inpainting of folded fabrics with interactive editing. Computers & Graphics. 122. 103997–103997.
4.
Ostromoukhov, Victor, et al.. (2024). Quad-Optimized Low-Discrepancy Sequences. SPIRE - Sciences Po Institutional REpository. 1–9. 2 indexed citations
5.
Cœurjolly, David, et al.. (2021). Digital Surface Regularization With Guarantees. IEEE Transactions on Visualization and Computer Graphics. 27(6). 2896–2907. 2 indexed citations
6.
Cœurjolly, David, et al.. (2021). Stable and efficient differential estimators on oriented point clouds. Computer Graphics Forum. 40(5). 205–216. 4 indexed citations
7.
Bonneel, Nicolas, et al.. (2020). Ground Metric Learning on Graphs. Journal of Mathematical Imaging and Vision. 63(1). 89–107. 4 indexed citations
8.
Cœurjolly, David & Isabelle Sivignon. (2020). Efficient distance transformation for path-based metrics. Computer Vision and Image Understanding. 194. 102925–102925. 1 indexed citations
9.
Bonneel, Nicolas & David Cœurjolly. (2019). SPOT. ACM Transactions on Graphics. 38(4). 1–13. 28 indexed citations
10.
Bonneel, Nicolas, et al.. (2018). Mumford‐Shah Mesh Processing using the Ambrosio‐Tortorelli Functional. Computer Graphics Forum. 37(7). 75–85. 9 indexed citations
11.
Cœurjolly, David, Victor Ostromoukhov, Jianwei Guo, et al.. (2016). Low-discrepancy blue noise sampling. ACM Transactions on Graphics. 35(6). 1–13. 32 indexed citations
12.
Cœurjolly, David. (2012). Fast and accurate approximation of digital shape thickness distribution in arbitrary dimension. Computer Vision and Image Understanding. 116(12). 1159–1167. 2 indexed citations
13.
Cœurjolly, David & Isabelle Sivignon. (2011). Measure of straight lines for digital contour analysis. International Journal of Imaging Systems and Technology. 21(1). 67–75. 1 indexed citations
14.
Sivignon, Isabelle & David Cœurjolly. (2008). Minimum decomposition of a digital surface into digital plane segments is NP-hard. Discrete Applied Mathematics. 157(3). 558–570. 3 indexed citations
15.
Cœurjolly, David & Annick Montanvert. (2007). Optimal Separable Algorithms to Compute the Reverse Euclidean Distance Transformation and Discrete Medial Axis in Arbitrary Dimension. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(3). 437–448. 50 indexed citations
16.
Flin, Frédéric, Jean-Bruno Brzoska, David Cœurjolly, et al.. (2005). Adaptive estimation of normals and surface area for discrete 3-D objects: application to snow binary data from X-ray tomography. IEEE Transactions on Image Processing. 14(5). 585–596. 47 indexed citations
17.
Cœurjolly, David, et al.. (2005). On digital plane preimage structure. Discrete Applied Mathematics. 151(1-3). 78–92. 10 indexed citations
18.
Cœurjolly, David, et al.. (2004). <title>Reversible discrete volume polyhedrization using Marching Cubes simplification</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5300. 1–11. 6 indexed citations
19.
Cœurjolly, David & Reinhard Klette. (2004). A comparative evaluation of length estimators of digital curves. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(2). 252–258. 46 indexed citations
20.
Cœurjolly, David, Yan Gérard, Jean-Pierre Reveillès, & Laure Tougne. (2003). An elementary algorithm for digital arc segmentation. Discrete Applied Mathematics. 139(1-3). 31–50. 16 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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