David Cœurjolly
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Aerospace Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Reinhard KletteAnnick MontanvertVictor OstromoukhovNicolas BonneelJacques‐Olivier LachaudAtilla BaskurtLaure TougneMichel Couprie
- Topics
- Digital Image Processing Techniques (32 papers)Medical Image Segmentation Techniques (21 papers)Advanced Numerical Analysis Techniques (19 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingACM Transactions on Graphics
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
David Cœurjolly
58 papers receiving 690 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 461
- Computational Mechanics 255
- Computer Graphics and Computer-Aided Design 242
- Aerospace Engineering 60
- Computational Theory and Mathematics 52
Countries citing papers authored by David Cœurjolly
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 28 | |
| 10 | 32 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 50 | |
| 16 | 30 | |
| 17 | 47 | |
| 18 | 10 | |
| 19 | 46 | |
| 20 | 16 |
About David Cœurjolly
David Cœurjolly is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 63 papers that have together received 730 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (32 papers), Medical Image Segmentation Techniques (21 papers) and Advanced Numerical Analysis Techniques (19 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (242 citations), Computer Vision and Pattern Recognition (461 citations) and Computational Mechanics (255 citations). David Cœurjolly has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Reinhard Klette, Annick Montanvert, Victor Ostromoukhov, Nicolas Bonneel, Jacques‐Olivier Lachaud, Atilla Baskurt, Laure Tougne, Michel Couprie, Florent Dupont and Isabelle Sivignon. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
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.