Gilles Venturini

2.2k total citations
46 papers, 967 citations indexed

About

Gilles Venturini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Gilles Venturini has authored 46 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Gilles Venturini's work include Data Visualization and Analytics (10 papers), Data Management and Algorithms (9 papers) and Data Mining Algorithms and Applications (8 papers). Gilles Venturini is often cited by papers focused on Data Visualization and Analytics (10 papers), Data Management and Algorithms (9 papers) and Data Mining Algorithms and Applications (8 papers). Gilles Venturini collaborates with scholars based in France, Italy and Luxembourg. Gilles Venturini's co-authors include Nicolas Monmarché, Sauro Longhi, L. Jetto, Mohamed Slimane, Christiane Guinot, Romain Raveaux, Donatello Conte, Chloé Martineau, Ingrid Arnault and Hanene Azzag and has published in prestigious journals such as NeuroImage, European Journal of Operational Research and Pattern Recognition.

In The Last Decade

Gilles Venturini

42 papers receiving 906 citations

Peers

Gilles Venturini
Comparison fields: 5 of 108
  • Artificial Intelligence 373
  • Computer Vision and Pattern Recognition 313
  • Aerospace Engineering 145
  • Control and Systems Engineering 104
  • Plant Science 96
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Citations per field, relative to Gilles Venturini
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Citations per year, relative to Gilles Venturini
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Countries citing papers authored by Gilles Venturini

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Venturini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Venturini

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Venturini. A scholar is included among the top collaborators of Gilles Venturini 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 Gilles Venturini. Gilles Venturini 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
# Work Indexed citations
1 11
2 11
3 0
4
Proceedings of the 20th International Conference on Information Visualisation
6
5 152
6 43
7 3
8 38
9 5
10 1
11 3
12
An Interactive Visualization Environment for Data Exploration Using Points of Interest
0
13 11
14 52
15
Web sessions clustering with artificial ants colonies
5
16
GeniMiner: Web Mining with a Genetic-Based Algorithm.
8
17
Interactive Design of Web Sites with a Genetic Algorithm.
23
18
A new clustering algorithm based on the ants chemical recognition system.
2
19 237
20
On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases.
21

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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