Nicolas Vayatis
Impact in
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- Balance, Gait, and Falls Prevention
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
Papers in
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- Machine Learning and Algorithms 14
- Imbalanced Data Classification Techniques 8
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- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 10
- Co-authors
- Laurent Oudre (31 shared papers)Charles Truong (12 shared papers)Gábor Lugosi (8 shared papers)Stéphan Clémençon (15 shared papers)Damien Ricard (18 shared papers)Pierre‐Paul Vidal (21 shared papers)Émile Richard (2 shared papers)Julien Audiffren (9 shared papers)
- Journals
- PLoS ONE (4 papers)Frontiers in Neurology (3 papers)Frontiers in Physiology (3 papers)The Annals of Statistics (3 papers)Journal of Machine Learning Research (2 papers)
- Partner nations
- FranceChinaSwitzerland
In The Last Decade
Nicolas Vayatis
98 papers receiving 2.3k citations
Nicolas Vayatis's Hit Papers
Peers
Comparison fields: 5 of 164
- Physical Therapy, Sports Therapy and Rehabilitation 195
- Statistics and Probability 320
- Artificial Intelligence 848
- Signal Processing 184
- Statistics, Probability and Uncertainty 109
Countries citing papers authored by Nicolas Vayatis
This map shows the geographic impact of Nicolas Vayatis'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 Vayatis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Vayatis more than expected).
Fields of papers citing papers by Nicolas Vayatis
This network shows the impact of papers produced by Nicolas Vayatis. 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 Vayatis. The network helps show where Nicolas Vayatis may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Vayatis, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Selective review of offline change point detection methods Hit paper breakdown → | 2019 | 686 |
| 2 | 2008 | 187 | |
| 3 | A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code* Hit paper breakdown → | 2021 | 166 |
| 4 | 2006 | 127 | |
| 5 | 2004 | 123 | |
| 6 | 2003 | 76 | |
| 7 | 2012 | 75 | |
| 8 | 2016 | 73 | |
| 9 | 2005 | 54 | |
| 10 | 2022 | 41 | |
| 11 | A review of change point detection methods. | 2018 | 33 |
| 12 | 2014 | 33 | |
| 13 | 2014 | 33 | |
| 14 | 2021 | 32 | |
| 15 | 2016 | 30 | |
| 16 | 2018 | 28 | |
| 17 | 2013 | 28 | |
| 18 | 2016 | 26 | |
| 19 | 2020 | 22 | |
| 20 | Ranking forests | 2013 | 21 |
About Nicolas Vayatis
Nicolas Vayatis is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (14 papers), Statistical Methods and Inference (13 papers), Balance, Gait, and Falls Prevention (10 papers), Advanced Statistical Methods and Models (10 papers), Sparse and Compressive Sensing Techniques (9 papers), Complex Network Analysis Techniques (9 papers), Imbalanced Data Classification Techniques (8 papers) and Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (195 citations), Statistics and Probability (320 citations), Artificial Intelligence (848 citations), Signal Processing (184 citations) and Statistics, Probability and Uncertainty (109 citations). Nicolas Vayatis has collaborated with scholars based in France, China and Switzerland. Frequent co-authors include Laurent Oudre, Charles Truong, Gábor Lugosi, Stéphan Clémençon, Damien Ricard, Pierre‐Paul Vidal, Émile Richard, Julien Audiffren, Pierre-André Savalle and Frédéric Dias. Their work appears in journals such as PLoS ONE, Frontiers in Neurology, Frontiers in Physiology, The Annals of Statistics and Journal of Machine Learning Research.
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.