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 7
- Advanced Graph Neural Networks 6
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- Balance, Gait, and Falls Prevention 11
- Co-authors
- Laurent Oudre (30 shared papers)Charles Truong (12 shared papers)Gábor Lugosi (5 shared papers)Stéphan Clémençon (11 shared papers)Damien Ricard (18 shared papers)Pierre‐Paul Vidal (20 shared papers)Émile Richard (2 shared papers)Frédéric Dias (3 shared papers)
- Journals
- PLoS ONE (4 papers)The Annals of Statistics (3 papers)Frontiers in Neurology (3 papers)Machine Learning (2 papers)Sensors (2 papers)
- Partner nations
- FranceChinaSwitzerland
In The Last Decade
Nicolas Vayatis
80 papers receiving 2.0k citations
Nicolas Vayatis's Hit Papers
Peers
Comparison fields: 5 of 167
- Physical Therapy, Sports Therapy and Rehabilitation 201
- Statistics and Probability 277
- Artificial Intelligence 675
- Signal Processing 168
- Statistics, Probability and Uncertainty 103
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 88 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 | 618 |
| 2 | 2008 | 176 | |
| 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 | 145 |
| 4 | 2006 | 119 | |
| 5 | 2004 | 109 | |
| 6 | 2012 | 73 | |
| 7 | 2016 | 71 | |
| 8 | 2003 | 66 | |
| 9 | 2022 | 36 | |
| 10 | 2014 | 33 | |
| 11 | A review of change point detection methods. | 2018 | 32 |
| 12 | 2014 | 32 | |
| 13 | 2018 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 2016 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2020 | 20 | |
| 19 | 2017 | 19 | |
| 20 | Ranking forests | 2013 | 17 |
About Nicolas Vayatis
Nicolas Vayatis is a scholar working on Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation, Statistics and Probability, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (11 papers), Advanced Statistical Methods and Models (8 papers), Complex Network Analysis Techniques (8 papers), Statistical Methods and Inference (7 papers), Machine Learning and Algorithms (7 papers), Advanced Graph Neural Networks (6 papers), Sparse and Compressive Sensing Techniques (6 papers) and Diabetic Foot Ulcer Assessment and Management (5 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (201 citations), Statistics and Probability (277 citations), Artificial Intelligence (675 citations), Signal Processing (168 citations) and Statistics, Probability and Uncertainty (103 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, Frédéric Dias, Pierre-André Savalle and Julien Audiffren. Their work appears in journals such as PLoS ONE, The Annals of Statistics, Frontiers in Neurology, Machine Learning and Sensors.
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.