Davide Eynard

993 citations
23 papers · 314 · h-index 10

Impact in

Papers in

Davide Eynard

22 papers receiving 291 citations

Peers

Davide Eynard
Comparison fields: 5 of 71
  • Computer Graphics and Computer-Aided Design 48
  • Computer Vision and Pattern Recognition 132
  • Computational Mechanics 74
  • Artificial Intelligence 92
  • Information Systems 57
Replace Marcel Hlawatsch with:
Marcel Hlawatsch Germany
Gordon W. Romney United States
Paul Swoboda Germany
Shenghui Cheng China
Reneta P. Barneva United States
Ruimin Wang China
Yuxin Zhang China
Bob Francis United States
Mostafa El Mallahi Morocco
Davide Eynard relative to Marcel Hlawatsch Germany Marcel Hlawatsch's profile →
Citations per field
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Marcel Hlawatsch · 1×
Citations per year

Countries citing papers authored by Davide Eynard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Davide Eynard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Eynard Line = papers co-authored together Davide Eynard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using WordNet to turn a Folksonomy into a Hierarchy of Concepts.
200745
2 201643
3 201541
4 201038
5 201533
6 201416
7 201115
8 200813
9 201112
10 201412
11 20079
12 20109
13 20127
14 20125
15 20104
16 20123
17 20113
18 20192
19 20231
20 20141

About Davide Eynard

Davide Eynard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 23 papers that have together received 314 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Semantic Web and Ontologies (5 papers), Advanced Clustering Algorithms Research (3 papers), Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (3 papers), Color Science and Applications (2 papers), Image Enhancement Techniques (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Computer Vision and Pattern Recognition (132 citations), Computational Mechanics (74 citations), Artificial Intelligence (92 citations) and Information Systems (57 citations). Davide Eynard has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Michael M. Bronstein, Klaus Glashoff, Marco Colombetti, David Laniado, Artiom Kovnatsky, Emanuele Rodolà, Vincent Frémont, P Vasseur, Cédric Demonceaux and Luca Mazzola. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, Software Practice and Experience, Information Technology & Tourism 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.

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