Nicolas Vayatis

4.1k total citations · 2 hit papers
88 papers, 2.0k citations indexed

About

Nicolas Vayatis is a scholar working on Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation and Statistics and Probability. According to data from OpenAlex, Nicolas Vayatis has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 11 papers in Physical Therapy, Sports Therapy and Rehabilitation and 11 papers in Statistics and Probability. Recurrent topics in Nicolas Vayatis's work include Balance, Gait, and Falls Prevention (11 papers), Complex Network Analysis Techniques (8 papers) and Advanced Statistical Methods and Models (8 papers). Nicolas Vayatis is often cited by papers focused on Balance, Gait, and Falls Prevention (11 papers), Complex Network Analysis Techniques (8 papers) and Advanced Statistical Methods and Models (8 papers). Nicolas Vayatis collaborates with scholars based in France, China and Switzerland. Nicolas Vayatis's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Nicolas Vayatis

80 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Selective review of offline change point detection methods

2019 618 citations Charles Truong, Laurent Oudre et al. profile →
A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*

2021 145 citations Damien Ricard, A. Yelnik et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicolas Vayatis France	19	675	277	265	205	201	88	2.0k
Nicola L. C. Talbot United Kingdom	13	824 1.2×	105 0.4×	404 1.5×	102 0.5×	17 0.1×	32	2.7k
Chris Bishop United Kingdom	21	1.1k 1.6×	42 0.2×	395 1.5×	93 0.5×	70 0.3×	74	3.2k
Martin Brown United Kingdom	28	823 1.2×	68 0.2×	163 0.6×	61 0.3×	39 0.2×	124	3.4k
Laurent Oudre France	14	234 0.3×	78 0.3×	242 0.9×	21 0.1×	211 1.0×	79	1.3k
Derek T. Anderson United States	22	861 1.3×	252 0.9×	747 2.8×	30 0.1×	44 0.2×	170	2.0k
Tuan D. Pham Australia	33	1.2k 1.7×	62 0.2×	1.2k 4.5×	44 0.2×	33 0.2×	295	4.2k
Theofanis Sapatinas Cyprus	20	585 0.9×	553 2.0×	874 3.3×	140 0.7×	8 0.0×	61	2.9k
Nina Golyandina Russia	14	233 0.3×	76 0.3×	228 0.9×	59 0.3×	13 0.1×	36	2.4k
Yves Grandvalet France	20	1.2k 1.7×	163 0.6×	740 2.8×	126 0.6×	7 0.0×	46	2.2k
Afshin Rostamizadeh United States	21	1.5k 2.2×	53 0.2×	800 3.0×	172 0.8×	8 0.0×	34	2.6k

Countries citing papers authored by Nicolas Vayatis

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nicolas Vayatis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Vayatis. A scholar is included among the top collaborators of Nicolas Vayatis 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 Vayatis. Nicolas Vayatis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Robert, Matthieu P., et al.. (2025). Vision toolkit part 1. Neurophysiological foundations and experimental paradigms in eye-tracking research: a review. Frontiers in Physiology. 16. 1571534–1571534. 1 indexed citations

Boniol, Paul, Danping Wang, Laurent Oudre, et al.. (2024). Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Processing On Line. 14. 1–13. 4 indexed citations

l′Escalopier, Nicolas de, Cyril Voisard, Nicolas Vayatis, et al.. (2024). Inertial measurement units to evaluate the efficacity of Equino Varus Foot surgery in post stroke hemiparetic patients: a feasibility study. Journal of NeuroEngineering and Rehabilitation. 21(1). 182–182.

Vayatis, Nicolas, et al.. (2023). Comparison of vestibular input statistics during natural activities and while piloting an aircraft. Journal of Neurophysiology. 130(1). 168–178.

l′Escalopier, Nicolas de, et al.. (2022). Evaluation methods to assess the efficacy of equinovarus foot surgery on the gait of post-stroke hemiplegic patients: A literature review. Frontiers in Neurology. 13. 1042667–1042667. 9 indexed citations

Chick, Stephen E., et al.. (2021). Epidemic Models for COVID-19 during the First Wave from February to May\n 2020: a Methodological Review. arXiv (Cornell University). 3 indexed citations

Clémençon, Stéphan, et al.. (2021). Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking. arXiv (Cornell University). 1 indexed citations

Vidal, Pierre‐Paul, et al.. (2021). Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning. PLoS ONE. 16(2). e0246790–e0246790. 10 indexed citations

Bargiotas, Panagiotis, Ines Debove, M. Lenard Lachenmayer, et al.. (2021). Sleep apnea syndrome and subthalamic stimulation in Parkinson's disease. Sleep Medicine. 86. 106–112. 4 indexed citations

10.

Audiffren, Julien, et al.. (2019). Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm. Image Processing On Line. 9. 143–157. 2 indexed citations

11.

Truong, Charles, Thomas Moreau, Pierre‐Paul Vidal, et al.. (2019). A Data Set for the Study of Human Locomotion with Inertial Measurements Units. Image Processing On Line. 9. 381–390. 14 indexed citations

12.

Truong, Charles, Laurent Oudre, & Nicolas Vayatis. (2018). A review of change point detection methods.. arXiv (Cornell University). 32 indexed citations

13.

Moreau, Thomas, Laurent Oudre, & Nicolas Vayatis. (2018). DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. International Conference on Machine Learning. 3626–3634. 2 indexed citations

14.

Audiffren, Julien, Nicolas Vayatis, Pierre‐Paul Vidal, et al.. (2018). On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly. PLoS ONE. 13(2). e0192868–e0192868. 16 indexed citations

15.

Barrois, Rémi, Laurent Oudre, Thomas Moreau, et al.. (2016). An Automated Recording Method in Clinical Consultation to Rate the Limp in Lower Limb Osteoarthritis. PLoS ONE. 11(10). e0164975–e0164975. 26 indexed citations

16.

Jacob, Sophie, Hassen Douzane, Philippe Lestaevel, et al.. (2015). EpiBrainRad: an epidemiologic study of the neurotoxicity induced by radiotherapy in high grade glioma patients. BMC Neurology. 15(1). 261–261. 16 indexed citations

17.

Richard, Émile, Stéphane Gaïffas, & Nicolas Vayatis. (2012). Link Prediction in Graphs with Autoregressive Features. Journal of Machine Learning Research. 15(1). 565–593. 15 indexed citations

18.

Clémençon, Stéphan, Gábor Lugosi, & Nicolas Vayatis. (2006). Ranking and empirical minimization of U-statistics. arXiv (Cornell University). 119 indexed citations

19.

Blanchard, Gilles, Gábor Lugosi, & Nicolas Vayatis. (2003). On the rate of convergence of regularized boosting classifiers. Journal of Machine Learning Research. 4. 861–894. 66 indexed citations

20.

Vayatis, Nicolas. (2000). The Role of Critical Sets in Vapnik-Chervonenkis Theory. Conference on Learning Theory. 75–80. 1 indexed citations

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.

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