Guillaume Damiand
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Computer Networks and Communications
- Artificial Intelligence
- Co-authors
- Christine SolnonColin de la HigueraChristophe PaulMichel HabibPascal LienhardtYves BertrandChristophe FiorioDaniel Méneveaux
- Topics
- Digital Image Processing Techniques (22 papers)Medical Image Segmentation Techniques (11 papers)Computational Geometry and Mesh Generation (8 papers)
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Guillaume Damiand
27 papers receiving 208 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 109
- Computational Theory and Mathematics 46
- Computer Graphics and Computer-Aided Design 39
- Computer Networks and Communications 29
- Artificial Intelligence 26
Countries citing papers authored by Guillaume Damiand
This map shows the geographic impact of Guillaume Damiand'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 Guillaume Damiand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Damiand more than expected).
Fields of papers citing papers by Guillaume Damiand
This network shows the impact of papers produced by Guillaume Damiand. 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 Guillaume Damiand. The network helps show where Guillaume Damiand may publish in the future.
Co-authorship network of co-authors of Guillaume Damiand
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Damiand. A scholar is included among the top collaborators of Guillaume Damiand 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 Guillaume Damiand. Guillaume Damiand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 21 | |
| 19 | 28 | |
| 20 | Topological Map: Minimal Encoding of 3d Segmented Images | 9 |
About Guillaume Damiand
Guillaume Damiand is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 29 papers that have together received 227 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (22 papers), Medical Image Segmentation Techniques (11 papers) and Computational Geometry and Mesh Generation (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (39 citations), Computer Vision and Pattern Recognition (109 citations) and Geology (19 citations). Guillaume Damiand has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Christine Solnon, Colin de la Higuera, Christophe Paul, Michel Habib, Pascal Lienhardt, Yves Bertrand, Christophe Fiorio, Daniel Méneveaux, Y. Bertrand and Jean‐François Palierne. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Image and Vision Computing.
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.