Davide Eynard
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Information Systems
- Co-authors
- Michael M. BronsteinKlaus GlashoffDavid LaniadoMarco ColombettiArtiom KovnatskyEmanuele RodolàVincent FrémontP Vasseur
- Topics
- Web Data Mining and Analysis (3 papers)Semantic Web and Ontologies (3 papers)Data Management and Algorithms (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputer Graphics ForumIEEE Internet Computing
- Partner nations
- SwitzerlandItalyIsrael
In The Last Decade
Davide Eynard
15 papers receiving 209 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 108
- Computational Mechanics 63
- Artificial Intelligence 56
- Computer Graphics and Computer-Aided Design 43
- Information Systems 36
Countries citing papers authored by Davide Eynard
This map shows the geographic impact of Davide Eynard'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 Davide Eynard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Eynard more than expected).
Fields of papers citing papers by Davide Eynard
This network shows the impact of papers produced by Davide Eynard. 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 Davide Eynard. The network helps show where Davide Eynard may publish in the future.
Co-authorship network of co-authors of Davide Eynard
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Eynard. A scholar is included among the top collaborators of Davide Eynard 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 Davide Eynard. Davide Eynard 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 | 2 | |
| 3 | 36 | |
| 4 | 37 | |
| 5 | 30 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | 9 | |
| 15 | Using WordNet to turn a Folksonomy into a Hierarchy of Concepts. | 30 |
| 16 | 8 |
About Davide Eynard
Davide Eynard is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 16 papers that have together received 227 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (3 papers), Semantic Web and Ontologies (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (43 citations), Computer Vision and Pattern Recognition (108 citations) and Computational Mechanics (63 citations). Davide Eynard has collaborated with scholars based in Switzerland, Italy and Israel. Frequent co-authors include Michael M. Bronstein, Klaus Glashoff, David Laniado, Marco Colombetti, Artiom Kovnatsky, Emanuele Rodolà, Vincent Frémont, P Vasseur, Cédric Demonceaux and Davide Boscaini. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Graphics Forum and IEEE Internet 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.