Stéphane Robin

1.8k total citations
25 papers, 972 citations indexed

About

Stéphane Robin is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Stéphane Robin has authored 25 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Stéphane Robin's work include Gene expression and cancer classification (11 papers), Genomic variations and chromosomal abnormalities (6 papers) and Gene Regulatory Network Analysis (3 papers). Stéphane Robin is often cited by papers focused on Gene expression and cancer classification (11 papers), Genomic variations and chromosomal abnormalities (6 papers) and Gene Regulatory Network Analysis (3 papers). Stéphane Robin collaborates with scholars based in France, Morocco and Australia. Stéphane Robin's co-authors include Franck Picard, Jean‐Jacques Daudin, Christian Vaisse, Marc Lavielle, Tristan Mary‐Huard, Céline Lévy‐Leduc, Maud Delattre, Paul Delmar, Julie Aubert and Guillem Rigaill and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biometrics.

In The Last Decade

Stéphane Robin

23 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Robin France 13 547 366 121 117 112 25 972
Leonardo Bottolo United Kingdom 18 958 1.8× 795 2.2× 59 0.5× 269 2.3× 45 0.4× 40 1.7k
Wei Tan United States 21 616 1.1× 156 0.4× 92 0.8× 62 0.5× 75 0.7× 118 1.6k
Dan Lin United States 24 572 1.0× 431 1.2× 33 0.3× 280 2.4× 206 1.8× 79 2.0k
Kevin Bleakley France 13 1.1k 2.1× 434 1.2× 52 0.4× 125 1.1× 84 0.8× 20 1.8k
Volkmar Liebscher Germany 18 439 0.8× 193 0.5× 15 0.1× 53 0.5× 56 0.5× 63 1.0k
Grzegorz A. Rempała United States 22 735 1.3× 234 0.6× 93 0.8× 49 0.4× 62 0.6× 108 1.9k
Emily Holzinger United States 12 627 1.1× 280 0.8× 30 0.2× 63 0.5× 59 0.5× 21 1.1k
Marcel Schilling Germany 17 1.4k 2.5× 164 0.4× 67 0.6× 44 0.4× 108 1.0× 31 2.2k
Chen‐An Tsai Taiwan 20 681 1.2× 119 0.3× 20 0.2× 30 0.3× 104 0.9× 45 1.1k
Kevin Flores United States 13 290 0.5× 113 0.3× 31 0.3× 57 0.5× 40 0.4× 43 687

Countries citing papers authored by Stéphane Robin

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Robin

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Robin. A scholar is included among the top collaborators of Stéphane Robin 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 Stéphane Robin. Stéphane Robin 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.
Wang, Xiaoqiang, et al.. (2019). Variational Inference for Coupled Hidden Markov Models Applied to the Joint Detection of Copy Number Variations. The International Journal of Biostatistics. 15(1). 7 indexed citations
2.
Lévy‐Leduc, Céline, et al.. (2018). A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data. Statistical Applications in Genetics and Molecular Biology. 17(5). 6 indexed citations
3.
Durot, Cécile, et al.. (2015). Nonparametric species richness estimation under convexity constraint. Environmetrics. 26(7). 502–513. 7 indexed citations
4.
Cleynen, Alice, et al.. (2014). Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data. Algorithms for Molecular Biology. 9(1). 6–6. 19 indexed citations
5.
Cleynen, Alice & Stéphane Robin. (2014). Comparing change-point location in independent series. Statistics and Computing. 26(1-2). 263–276. 1 indexed citations
6.
Picard, Franck, et al.. (2011). Joint segmentation, calling, and normalization of multiple CGH profiles. Biostatistics. 12(3). 413–428. 82 indexed citations
7.
Mary‐Huard, Tristan & Stéphane Robin. (2009). Tailored Aggregation for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2098–2105. 19 indexed citations
8.
Picard, Franck, Vincent Mièle, Jean‐Jacques Daudin, Ludovic Cottret, & Stéphane Robin. (2009). Deciphering the connectivity structure of biological networks using MixNet. BMC Bioinformatics. 10(S6). S17–S17. 27 indexed citations
9.
Robin, Stéphane, et al.. (2007). Statistical tests to compare motif count exceptionalities. BMC Bioinformatics. 8(1). 84–84. 24 indexed citations
10.
Ait‐Yahya, Emilie, Julie Aubert, Luce Dauphinot, et al.. (2007). Classification of Human Chromosome 21 Gene-Expression Variations in Down Syndrome: Impact on Disease Phenotypes. The American Journal of Human Genetics. 81(3). 475–491. 210 indexed citations
11.
Robin, Stéphane, Avner Bar‐Hen, Jean‐Jacques Daudin, & L. Pierre. (2007). A semi-parametric approach for mixture models: Application to local false discovery rate estimation. Computational Statistics & Data Analysis. 51(12). 5483–5493. 35 indexed citations
12.
Picard, Franck, et al.. (2007). A Segmentation/Clustering Model for the Analysis of Array CGH Data. Biometrics. 63(3). 758–766. 41 indexed citations
13.
Picard, Franck, Stéphane Robin, Marc Lavielle, Christian Vaisse, & Jean‐Jacques Daudin. (2005). A statistical approach for array CGH data analysis. BMC Bioinformatics. 6(1). 27–27. 249 indexed citations
14.
Mortier, Frédéric, et al.. (2005). Prediction of Euclidean distances with discrete and continuous outcomes. Journal of Multivariate Analysis. 97(8). 1799–1814. 7 indexed citations
15.
Delmar, Paul, et al.. (2004). VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data. Bioinformatics. 21(4). 502–508. 73 indexed citations
16.
Robin, Stéphane, et al.. (2004). A Game Theoretical Approach of Price Negotiation and Coordination in an Innovative Firm-Supplier Context: An Experimental Analysis. International Negotiation. 9(2). 245–269. 4 indexed citations
17.
Bar‐Hen, Avner & Stéphane Robin. (2003). An iterative procedure for differential analysis of gene expression. Comptes Rendus Mathématique. 337(5). 343–346.
18.
Robin, Stéphane & Éric Cahuzac. (2001). L'accès à l'emploi des docteurs en sciences de la vie : caractéristiques individuelles et effets de structures. Formation emploi. 74(1). 37–52. 1 indexed citations
19.
Mangematin, Vincent & Stéphane Robin. (2000). À la recherche du premier emploi. Biofutur. 2000(198). 30–32. 4 indexed citations
20.
Robin, Stéphane. (1952). Étude de la perturbation des raies spectrales par la pression jusqu’à 1200 Kg/cm2. Journal de Chimie Physique. 49. 1–19. 9 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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