Stephane S. Robin
Impact in
- Developmental Biology top 10%
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
-
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- DNA and Biological Computing 2
- Gene Regulatory Network Analysis 2
- Single-cell and spatial transcriptomics 1
-
- Algorithms and Data Compression 3
- Co-authors
- Sophie Schbath (5 shared papers)Franck Picard (2 shared papers)Charles Noussair (1 shared paper)Bernard Ruffieux (1 shared paper)Jean‐Jacques Daudin (1 shared paper)Céline Lévy‐Leduc (1 shared paper)Alain Célisse (1 shared paper)F. Rodolphe (1 shared paper)
- Journals
- Journal of Computational Biology (3 papers)Bernoulli (1 paper)Computational Statistics & Data Analysis (1 paper)BMC Bioinformatics (1 paper)Discrete Applied Mathematics (1 paper)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Stephane S. Robin
16 papers receiving 294 citations
Peers
Comparison fields: 5 of 79
- Developmental Biology 18
- Statistics and Probability 42
- General Decision Sciences 6
- Molecular Biology 154
- Statistical and Nonlinear Physics 27
Countries citing papers authored by Stephane S. Robin
This map shows the geographic impact of Stephane S. 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 Stephane S. Robin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephane S. Robin more than expected).
Fields of papers citing papers by Stephane S. Robin
This network shows the impact of papers produced by Stephane S. 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 Stephane S. Robin. The network helps show where Stephane S. Robin may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephane S. Robin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 47 | |
| 2 | 2003 | 34 | |
| 3 | 2001 | 31 | |
| 4 | 2017 | 30 | |
| 5 | 2002 | 24 | |
| 6 | 2008 | 22 | |
| 7 | 2004 | 21 | |
| 8 | 2005 | 19 | |
| 9 | 2004 | 16 | |
| 10 | 2010 | 14 | |
| 11 | 2010 | 14 | |
| 12 | 2006 | 13 | |
| 13 | 2016 | 10 | |
| 14 | 2008 | 5 | |
| 15 | 2004 | 4 | |
| 16 | 2008 | 1 | |
| 17 | 1998 | 0 |
About Stephane S. Robin
Stephane S. Robin is a scholar working on Molecular Biology, Artificial Intelligence, Statistics and Probability, Genetics and Management Science and Operations Research, having authored 17 papers that have together received 305 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Statistical Methods and Bayesian Inference (3 papers), Bioinformatics and Genomic Networks (3 papers), Algorithms and Data Compression (3 papers), Statistical Methods and Inference (2 papers), DNA and Biological Computing (2 papers), Gene Regulatory Network Analysis (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Developmental Biology (18 citations), Statistics and Probability (42 citations), General Decision Sciences (6 citations), Molecular Biology (154 citations) and Statistical and Nonlinear Physics (27 citations). Stephane S. Robin has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Sophie Schbath, Franck Picard, Charles Noussair, Bernard Ruffieux, Jean‐Jacques Daudin, Céline Lévy‐Leduc, Alain Célisse, F. Rodolphe, Catherine Del Negro and Thierry Aubin. Their work appears in journals such as Journal of Computational Biology, Bernoulli, Computational Statistics & Data Analysis, BMC Bioinformatics and Discrete Applied Mathematics.
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.