Yves Lechevallier
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Francisco de A.T. de CarvalhoMarie ChaventEdwin DidayRenata M.C.R. de SouzaBernard BurtschyPatrice BertrandRosanna VerdeOlivier Briant
- Topics
- Data Management and Algorithms (17 papers)Advanced Clustering Algorithms Research (16 papers)Neural Networks and Applications (8 papers)
In The Last Decade
Yves Lechevallier
38 papers receiving 694 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 444
- Signal Processing 172
- Computational Theory and Mathematics 160
- Computer Vision and Pattern Recognition 124
- Information Systems 104
Countries citing papers authored by Yves Lechevallier
This map shows the geographic impact of Yves Lechevallier'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 Lechevallier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Lechevallier more than expected).
Fields of papers citing papers by Yves Lechevallier
This network shows the impact of papers produced by Yves Lechevallier. 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 Lechevallier. The network helps show where Yves Lechevallier may publish in the future.
Co-authorship network of co-authors of Yves Lechevallier
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Lechevallier. A scholar is included among the top collaborators of Yves Lechevallier 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 Yves Lechevallier. Yves Lechevallier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 46 | |
| 3 | Simultaneous Clustering and Segmentation for Functional Data. | 4 |
| 4 | 59 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | Classification de documents XML à partir d'une représentation linéaire des arbres de ces documents. | 2 |
| 8 | 61 | |
| 9 | Pre-Processing and Clustering Complex Data in E-Commerce Domain | 6 |
| 10 | Usage Guided Clustering of Web Pages with the Median Self Organizing Map | 5 |
| 11 | 131 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | Méthodes divisives de classification et segmentation non supervisée : recherche d'une typologie de la peau humaine saine | 9 |
| 15 | 6 | |
| 16 | Designing neural networks from statistical models: a new approach to data exploration | 1 |
| 17 | Reseaux de neurones et modeles statistiques | 0 |
| 18 | Short term traffic forecasting by neural networks | 1 |
| 19 | 5 - ARTHUR: un système d'analyse de texture | 0 |
| 20 | Méthodes de segmentation non paramétriques | 2 |
About Yves Lechevallier
Yves Lechevallier is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 43 papers that have together received 736 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Advanced Clustering Algorithms Research (16 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Signal Processing (172 citations), Artificial Intelligence (444 citations) and Statistics and Probability (98 citations). Yves Lechevallier has collaborated with scholars based in France, Brazil and Canada. Frequent co-authors include Francisco de A.T. de Carvalho, Marie Chavent, Edwin Diday, Renata M.C.R. de Souza, Bernard Burtschy, Patrice Bertrand, Rosanna Verde, Olivier Briant, Fabrice Rossi and Georges Hébrail. Their work appears in journals such as Pattern Recognition, Information Sciences and Fuzzy Sets and Systems.
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.