Nicolas Wicker
Impact in
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- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
Papers in
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- Bayesian Methods and Mixture Models 7
- Advanced Clustering Algorithms Research 3
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- Morphological variations and asymmetry 2
- Co-authors
- Olivier Poch (7 shared papers)Jean Muller (2 shared papers)Ravi Kiran Reddy Kalathur (2 shared papers)Frédéric Vivien (1 shared paper)Hiroshi Mamitsuka (3 shared papers)Canh Hao Nguyen (2 shared papers)Andreas Binder (2 shared papers)Julie Thompson (1 shared paper)
In The Last Decade
Nicolas Wicker
23 papers receiving 320 citations
Peers
Comparison fields: 5 of 102
- Statistics and Probability 23
- Artificial Intelligence 77
- Molecular Biology 137
- Genetics 44
- Signal Processing 18
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 66 | |
| 2 | 2012 | 55 | |
| 3 | 2007 | 39 | |
| 4 | 2007 | 33 | |
| 5 | 2007 | 28 | |
| 6 | 2002 | 24 | |
| 7 | 2006 | 14 | |
| 8 | 2004 | 12 | |
| 9 | 2011 | 9 | |
| 10 | 2012 | 8 | |
| 11 | 2009 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2013 | 6 | |
| 14 | 2003 | 5 | |
| 15 | 2012 | 5 | |
| 16 | 2011 | 4 | |
| 17 | 2009 | 2 | |
| 18 | 2010 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Nicolas Wicker
Nicolas Wicker is a scholar working on Artificial Intelligence, Geometry and Topology, Computational Theory and Mathematics, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 328 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Advanced Clustering Algorithms Research (3 papers), Topological and Geometric Data Analysis (3 papers), Genomics and Phylogenetic Studies (2 papers) and Morphological variations and asymmetry (2 papers). The work is most often cited by research in Statistics and Probability (23 citations), Artificial Intelligence (77 citations), Molecular Biology (137 citations), Genetics (44 citations) and Signal Processing (18 citations). Nicolas Wicker has collaborated with scholars based in France, Canada and Japan. Frequent co-authors include Olivier Poch, Jean Muller, Ravi Kiran Reddy Kalathur, Frédéric Vivien, Hiroshi Mamitsuka, Canh Hao Nguyen, Andreas Binder, Julie Thompson, Wolfgang Raffelsberger and Benjamin Linard. Their work appears in journals such as Journal of Statistical Planning and Inference, Nucleic Acids Research, IEEE Transactions on Neural Networks and Learning Systems, Journal of Computational and Graphical Statistics and Journal of Computational Biology.
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.