Sylvain Lespinats
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Molecular Biology
- Electrical and Electronic Engineering
- Environmental Engineering
- Co-authors
- Michaël AupetitBernard FertilAlain GironOlivier BastienMichel VerleysenDenys DutykhP. MalbrancheDominique Van Der Straeten
- Topics
- Image Retrieval and Classification Techniques (6 papers)Genomics and Phylogenetic Studies (5 papers)Data Visualization and Analytics (5 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaJournal of Cleaner Production
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Sylvain Lespinats
25 papers receiving 384 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 111
- Artificial Intelligence 87
- Molecular Biology 77
- Electrical and Electronic Engineering 57
- Environmental Engineering 48
Countries citing papers authored by Sylvain Lespinats
This map shows the geographic impact of Sylvain Lespinats'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 Sylvain Lespinats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Lespinats more than expected).
Fields of papers citing papers by Sylvain Lespinats
This network shows the impact of papers produced by Sylvain Lespinats. 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 Sylvain Lespinats. The network helps show where Sylvain Lespinats may publish in the future.
Co-authorship network of co-authors of Sylvain Lespinats
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Lespinats. A scholar is included among the top collaborators of Sylvain Lespinats 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 Sylvain Lespinats. Sylvain Lespinats is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction | 3 |
| 4 | 50 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 47 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | Mapping without visualizing local default is nonsense | 1 |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 45 | |
| 19 | 14 | |
| 20 | 32 |
About Sylvain Lespinats
Sylvain Lespinats is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Energy Engineering and Power Technology, having authored 27 papers that have together received 393 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Genomics and Phylogenetic Studies (5 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Environmental Engineering (48 citations) and Biophysics (19 citations). Sylvain Lespinats has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Michaël Aupetit, Bernard Fertil, Alain Giron, Olivier Bastien, Michel Verleysen, Denys Dutykh, P. Malbranche, Dominique Van Der Straeten, Olivier De Clerck and Vera Gorelova. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Cleaner Production.
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.