Yves Chiricota

450 citations
13 papers · 167 indexed · h-index 6

Yves Chiricota

12 papers receiving 151 citations

Peers

Yves Chiricota
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 94
  • Computer Graphics and Computer-Aided Design 13
  • Statistical and Nonlinear Physics 43
  • Signal Processing 23
  • Artificial Intelligence 62
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Countries citing papers authored by Yves Chiricota

Since Specialization
Citations

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

Fields of papers citing papers by Yves Chiricota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Yves Chiricota, 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 Yves Chiricota Line = papers co-authored together Yves Chiricota links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Hybrid Thermo-Mechanical Contact Algorithm for 3D SPH-FEM Multi-Physics Simulations
20153
2 201067
3
Visualisation de graphes avec Tulip : exploration interactive de grandes masses de données en appui à la fouille de données et à l'extraction de connaissances
20080
4
Visual Exploration of (French) Commuter Networks
20088
5
Visually mining relational data
20071
6 20055
7 20046
8 20042
9 200458
10 20038
11 20016
12 19952
13 19931

About Yves Chiricota

Yves Chiricota is a scholar working on Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics and Discrete Mathematics and Combinatorics, having authored 13 papers that have together received 167 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Complex Network Analysis Techniques (6 papers), Image and Video Quality Assessment (2 papers), Advanced Numerical Analysis Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Polynomial and algebraic computation (1 paper) and Advanced Topics in Algebra (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (94 citations), Computer Graphics and Computer-Aided Design (13 citations) and Statistical and Nonlinear Physics (43 citations). Yves Chiricota has collaborated with scholars based in Canada and France. Frequent co-authors include Guy Mélançon, Fabien Jourdan, Michael J. McGuffin, Igor Jurišica, Christian Viau, Kirk Fraser, David Auber, Lyne St‐Georges, László I. Kiss and Gilbert Labelle. Their work appears in journals such as Discrete Mathematics, International Journal of Clothing Science and Technology, IEEE Transactions on Visualization and Computer Graphics, HAL (Le Centre pour la Communication Scientifique Directe) and Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

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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