Nicolas Wicker
- Molecular Biology
- Artificial Intelligence
- Genetics
- Statistics and Probability top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Olivier PochJean MullerRavi Kiran Reddy KalathurHiroshi MamitsukaFrédéric VivienJulie ThompsonHoan NguyenLuc Moulinier
- Topics
- Bayesian Methods and Mixture Models (7 papers)Bioinformatics and Genomic Networks (4 papers)Gene expression and cancer classification (4 papers)
In The Last Decade
Nicolas Wicker
23 papers receiving 285 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 156
- Artificial Intelligence 76
- Genetics 43
- Statistics and Probability 22
- Computer Vision and Pattern Recognition 17
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-authorship network of co-authors of Nicolas Wicker
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Wicker. A scholar is included among the top collaborators of Nicolas Wicker 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 Nicolas Wicker. Nicolas Wicker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 49 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 31 | |
| 16 | 28 | |
| 17 | 12 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | 62 |
About Nicolas Wicker
Nicolas Wicker is a scholar working on Geometry and Topology, Statistics and Probability and Artificial Intelligence, 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) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Statistics and Probability (22 citations), Artificial Intelligence (76 citations) and Molecular Biology (156 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, Julie Thompson, Hoan Nguyen, Luc Moulinier, Wolfgang Raffelsberger and Laetitia Poidevin. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Molecular Biology and Evolution.
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.