Stephane S. Robin
Impact in
- Developmental Biology top 10%
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 3
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- Algorithms and Data Compression 3
- Bayesian Methods and Mixture Models 2
- Co-authors
- Sophie Schbath (7 shared papers)Franck Picard (2 shared papers)Bernard Ruffieux (1 shared paper)CHARLES N. NOUSSAIR (1 shared paper)Jean‐Jacques Daudin (1 shared paper)Céline Lévy‐Leduc (1 shared paper)J.J. Daudin (3 shared papers)Alain Célisse (1 shared paper)
- Journals
- Journal of Computational Biology (3 papers)Statistics and Computing (2 papers)Computational Statistics & Data Analysis (1 paper)Discrete Applied Mathematics (1 paper)Journal of Statistical Planning and Inference (1 paper)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Stephane S. Robin
23 papers receiving 353 citations
Peers
Comparison fields: 5 of 82
- Developmental Biology 21
- Statistics and Probability 50
- Statistical and Nonlinear Physics 39
- Molecular Biology 164
- General Decision Sciences 4
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 61 | |
| 2 | 2003 | 37 | |
| 3 | 2001 | 35 | |
| 4 | 2017 | 34 | |
| 5 | 2002 | 32 | |
| 6 | 2008 | 25 | |
| 7 | 2005 | 21 | |
| 8 | 2004 | 21 | |
| 9 | 2004 | 18 | |
| 10 | 2010 | 16 | |
| 11 | 2010 | 16 | |
| 12 | 2006 | 15 | |
| 13 | 2016 | 11 | |
| 14 | NeMo: Fast Count of Network Motifs | 2011 | 6 |
| 15 | 2008 | 5 | |
| 16 | 2004 | 4 | |
| 17 | Data-driven Modeling of Building Consumption Profile for Optimal Flexibility: Application to Energy Intensive Industry | 2019 | 2 |
| 18 | 2008 | 1 | |
| 19 | Terminal differentiation of goat mammary tissue during pregnancy requires the expression of genes involved in immune functions | 2009 | 1 |
| 20 | Deciphering the pathobiome: intra- and interkingdom interactions involving the pathogen Erysiphe alphitoides | 2015 | 1 |
About Stephane S. Robin
Stephane S. Robin is a scholar working on Statistics and Probability, Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology and Genetics, having authored 24 papers that have together received 365 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers), Statistical Methods and Inference (3 papers), Algorithms and Data Compression (3 papers), Complex Network Analysis Techniques (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Developmental Biology (21 citations), Statistics and Probability (50 citations), Statistical and Nonlinear Physics (39 citations), Molecular Biology (164 citations) and General Decision Sciences (4 citations). Stephane S. Robin has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Sophie Schbath, Franck Picard, Bernard Ruffieux, CHARLES N. NOUSSAIR, Jean‐Jacques Daudin, Céline Lévy‐Leduc, J.J. Daudin, Alain Célisse, F. Rodolphe and Thierry Aubin. Their work appears in journals such as Journal of Computational Biology, Statistics and Computing, Computational Statistics & Data Analysis, Discrete Applied Mathematics and Journal of Statistical Planning and Inference.
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.