Sylvain Lespinats

686 total citations
27 papers, 393 citations indexed

About

Sylvain Lespinats is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sylvain Lespinats has authored 27 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Sylvain Lespinats's work include Image Retrieval and Classification Techniques (6 papers), Genomics and Phylogenetic Studies (5 papers) and Data Visualization and Analytics (5 papers). Sylvain Lespinats is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Genomics and Phylogenetic Studies (5 papers) and Data Visualization and Analytics (5 papers). Sylvain Lespinats collaborates with scholars based in France, United States and Belgium. Sylvain Lespinats's co-authors include Michaël Aupetit, Bernard Fertil, Alain Giron, Olivier Bastien, Michel Verleysen, Denys Dutykh, Olivier De Clerck, P. Malbranche, Vera Gorelova and Fabrice Rébeillé and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Sylvain Lespinats

25 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sylvain Lespinats France 11 111 87 77 57 48 27 393
Hyuk Cho United States 9 105 0.9× 180 2.1× 207 2.7× 20 0.4× 16 0.3× 33 512
Jianxin Zhang China 13 30 0.3× 55 0.6× 58 0.8× 93 1.6× 20 0.4× 42 416
Lichun Wang China 11 148 1.3× 74 0.9× 83 1.1× 49 0.9× 7 0.1× 52 453
Haonan Chen China 10 227 2.0× 33 0.4× 47 0.6× 49 0.9× 13 0.3× 30 556
Zhangliang Chen China 10 31 0.3× 31 0.4× 43 0.6× 88 1.5× 12 0.3× 25 428
Wei‐Jiun Lin Taiwan 10 21 0.2× 106 1.2× 152 2.0× 20 0.4× 9 0.2× 19 471
Jian Peng China 9 90 0.8× 65 0.7× 119 1.5× 23 0.4× 9 0.2× 34 347
Yonghoon Kim South Korea 11 77 0.7× 33 0.4× 23 0.3× 22 0.4× 22 0.5× 31 335
Chengcheng Li China 10 47 0.4× 72 0.8× 31 0.4× 50 0.9× 23 0.5× 41 417
Elizabeth Tapia Argentina 12 29 0.3× 49 0.6× 86 1.1× 21 0.4× 31 0.6× 36 443

Countries citing papers authored by Sylvain Lespinats

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Dutykh, Denys, et al.. (2024). On the parameters domain of the single-diode model. Solar Energy. 277. 112718–112718. 6 indexed citations
2.
Berger, Julien, et al.. (2022). The use of dimensionality reduction techniques for fault detection and diagnosis in a AHU unit: critical assessment of its reliability. Journal of Building Performance Simulation. 16(3). 249–267. 8 indexed citations
3.
Vuillon, Laurent, et al.. (2022). MING: An interpretative support method for visual exploration of multidimensional data. Information Visualization. 21(3). 246–269. 3 indexed citations
4.
Peltonen, Jaakko, et al.. (2020). Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. Trepo - Institutional Repository of Tampere University. 33. 13214–13225. 3 indexed citations
5.
Moustris, Konstantinos, Kosmas A. Kavadias, D. Zafirakis, et al.. (2019). An Advanced Forecasting System for the Optimum Energy Management of Island Microgrids. Energy Procedia. 159. 111–116. 31 indexed citations
6.
Gorelova, Vera, Olivier Bastien, Olivier De Clerck, et al.. (2019). Evolution of folate biosynthesis and metabolism across algae and land plant lineages. Scientific Reports. 9(1). 5731–5731. 50 indexed citations
7.
Lespinats, Sylvain, Olivier De Clerck, Vera Gorelova, et al.. (2019). Phylogeny and Sequence Space: A Combined Approach to Analyze the Evolutionary Trajectories of Homologous Proteins. The Case Study of Aminodeoxychorismate Synthase. Acta Biotheoretica. 68(1). 139–156. 2 indexed citations
8.
Lespinats, Sylvain, et al.. (2018). Circular background decreases misunderstanding of multidimensional scaling results for naive readers. SHILAP Revista de lepidopterología. 189. 10002–10002. 2 indexed citations
9.
Ito, Masakazu, et al.. (2015). Life cycle assessment and cost analysis of very large-scale PV systems and suitable locations in the world. Progress in Photovoltaics Research and Applications. 24(2). 159–174. 47 indexed citations
10.
Lespinats, Sylvain, Katja Pinker, Uwe Meyer‐Baese, & Anke Meyer‐Baese. (2015). Visual exploratory analysis of integrated chromosome 19 proteomic data derived from glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9496. 949607–949607.
11.
Lespinats, Sylvain, Michaël Aupetit, & Anke Meyer‐Baese. (2015). ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data. International Journal of Pattern Recognition and Artificial Intelligence. 29(6). 1551008–1551008. 5 indexed citations
12.
Lespinats, Sylvain & Bernard Fertil. (2011). ColorPhylo: A Color Code to Accurately Display Taxonomic Classifications. Evolutionary Bioinformatics. 7. 257–70. 4 indexed citations
13.
Lespinats, Sylvain & Michaël Aupetit. (2010). Mapping without visualizing local default is nonsense. The European Symposium on Artificial Neural Networks. 1 indexed citations
14.
Deback, Claire, Charles‐Édouard Luyt, Sylvain Lespinats, et al.. (2010). Microsatellite analysis of HSV-1 isolates: From oropharynx reactivation toward lung infection in patients undergoing mechanical ventilation. Journal of Clinical Virology. 47(4). 313–320. 15 indexed citations
15.
Lespinats, Sylvain & Michaël Aupetit. (2010). CheckViz: Sanity Check and Topological Clues for Linear and Non‐Linear Mappings. Computer Graphics Forum. 30(1). 113–125. 75 indexed citations
16.
Lespinats, Sylvain, Anke Meyer‐Baese, Frank Steinbrücker, & Thomas Schlossbauer. (2009). Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods. 2323 2326. 1764–1770. 3 indexed citations
17.
Lespinats, Sylvain, et al.. (2009). RankVisu: Mapping from the neighborhood network. Neurocomputing. 72(13-15). 2964–2978. 15 indexed citations
18.
Lespinats, Sylvain, Michel Verleysen, Alain Giron, & Bernard Fertil. (2007). DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. IEEE Transactions on Neural Networks. 18(5). 1265–1279. 45 indexed citations
19.
Fertil, Bernard, et al.. (2005). GENSTYLE: exploration and analysis of DNA sequences with genomic signature. Nucleic Acids Research. 33(Web Server). W512–W515. 14 indexed citations
20.
Bastien, Olivier, Sylvain Lespinats, Sylvaine Roy, et al.. (2004). Analysis of the compositional biases in Plasmodium falciparum genome and proteome using Arabidopsis thaliana as a reference. Gene. 336(2). 163–173. 32 indexed citations

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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