Nicolas Wicker
Impact in
- Statistics and Probability top 10%
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- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
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- Bayesian Methods and Mixture Models 7
- Advanced Clustering Algorithms Research 3
- Co-authors
- Olivier Poch (7 shared papers)Jean Muller (2 shared papers)Ravi Kiran Reddy Kalathur (2 shared papers)Hiroshi Mamitsuka (3 shared papers)Frédéric Vivien (1 shared paper)Canh Hao Nguyen (2 shared papers)Andreas Binder (1 shared paper)Benjamin Linard (1 shared paper)
In The Last Decade
Nicolas Wicker
23 papers receiving 285 citations
Peers
Comparison fields: 5 of 96
- Statistics and Probability 22
- Artificial Intelligence 76
- Molecular Biology 156
- Genetics 43
- Signal Processing 16
Countries citing papers authored by Nicolas Wicker
This map shows the geographic impact of Nicolas Wicker'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 Nicolas Wicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Wicker more than expected).
Fields of papers citing papers by Nicolas Wicker
This network shows the impact of papers produced by Nicolas Wicker. 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 Nicolas Wicker. The network helps show where Nicolas Wicker may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Wicker, 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 | 2001 | 62 | |
| 2 | 2012 | 49 | |
| 3 | 2007 | 31 | |
| 4 | 2007 | 28 | |
| 5 | 2007 | 27 | |
| 6 | 2002 | 23 | |
| 7 | 2006 | 12 | |
| 8 | 2004 | 10 | |
| 9 | 2011 | 9 | |
| 10 | 2012 | 7 | |
| 11 | 2009 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2012 | 5 | |
| 15 | 2003 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2017 | 1 |
About Nicolas Wicker
Nicolas Wicker is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Geometry and Topology and Computational Theory and Mathematics, having authored 24 papers that have together received 295 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Topological and Geometric Data Analysis (3 papers), Markov Chains and Monte Carlo Methods (3 papers), Advanced Clustering Algorithms Research (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Statistics and Probability (22 citations), Artificial Intelligence (76 citations), Molecular Biology (156 citations), Genetics (43 citations) and Signal Processing (16 citations). Nicolas Wicker has collaborated with scholars based in France, Japan and Canada. Frequent co-authors include Olivier Poch, Jean Muller, Ravi Kiran Reddy Kalathur, Hiroshi Mamitsuka, Frédéric Vivien, Canh Hao Nguyen, Andreas Binder, Benjamin Linard, Raymond Ripp and Hoan Nguyen. Their work appears in journals such as Nucleic Acids Research, Computational Statistics & Data Analysis, Computational Geometry, Statistics and Computing and Journal of Computational and Graphical Statistics.
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.