Jérémie Bigot

1.6k total citations
43 papers, 729 citations indexed

About

Jérémie Bigot is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Geometry and Topology. According to data from OpenAlex, Jérémie Bigot has authored 43 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Applied Mathematics and 9 papers in Geometry and Topology. Recurrent topics in Jérémie Bigot's work include Medical Image Segmentation Techniques (9 papers), Morphological variations and asymmetry (9 papers) and Point processes and geometric inequalities (8 papers). Jérémie Bigot is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Morphological variations and asymmetry (9 papers) and Point processes and geometric inequalities (8 papers). Jérémie Bigot collaborates with scholars based in France, Chile and Australia. Jérémie Bigot's co-authors include Anestis Antoniadis, Theofanis Sapatinas, Thierry Klein, Claire Boyer, Pierre Weiss, Sébastien Gadat, Raúl Gouet, Alfredo Quijano-López, Nicolas Papadakis and A.K. David and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Information Theory.

In The Last Decade

Jérémie Bigot

42 papers receiving 689 citations

Peers

Jérémie Bigot
Yves Nievergelt United States
Mátyás A. Sustik United States
Robert Azencott United States
Carlos Cabrelli Argentina
G.G. Walter United States
G.L. Wise United States
Yves Nievergelt United States
Jérémie Bigot
Citations per year, relative to Jérémie Bigot Jérémie Bigot (= 1×) peers Yves Nievergelt

Countries citing papers authored by Jérémie Bigot

Since Specialization
Citations

This map shows the geographic impact of Jérémie Bigot'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 Jérémie Bigot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérémie Bigot more than expected).

Fields of papers citing papers by Jérémie Bigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérémie Bigot. 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 Jérémie Bigot. The network helps show where Jérémie Bigot may publish in the future.

Co-authorship network of co-authors of Jérémie Bigot

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

All Works

20 of 20 papers shown
2.
Bigot, Jérémie, et al.. (2024). Online graph topology learning from matrix-valued time series. Computational Statistics & Data Analysis. 202. 108065–108065.
3.
Bercu, Bernard, et al.. (2024). Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements. Electronic Journal of Statistics. 18(2). 2 indexed citations
4.
Bigot, Jérémie. (2020). Statistical data analysis in the Wasserstein space*. SHILAP Revista de lepidopterología. 12 indexed citations
5.
Bigot, Jérémie, et al.. (2019). Freeness over the diagonal and outliers detection in deformed random\n matrices with a variance profile. arXiv (Cornell University). 1 indexed citations
6.
Bigot, Jérémie, et al.. (2019). Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications. Electronic Journal of Statistics. 13(2). 17 indexed citations
7.
Bigot, Jérémie, et al.. (2019). Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration. Information and Inference A Journal of the IMA. 8(4). 719–755. 7 indexed citations
8.
Bercu, Bernard & Jérémie Bigot. (2018). Asymptotic distribution and convergence rates of stochastic algorithms\n for entropic optimal transportation between probability measures. arXiv (Cornell University). 5 indexed citations
9.
Bigot, Jérémie, Raúl Gouet, Thierry Klein, & Alfredo Quijano-López. (2018). Upper and lower risk bounds for estimating the Wasserstein barycenter of random measures on the real line. Electronic Journal of Statistics. 12(2). 17 indexed citations
10.
Seguy, Vivien, et al.. (2017). Log-PCA versus Geodesic PCA of histograms in the Wasserstein space. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Boyer, Claire, Jérémie Bigot, & Pierre Weiss. (2017). Compressed sensing with structured sparsity and structured acquisition. Applied and Computational Harmonic Analysis. 46(2). 312–350. 41 indexed citations
12.
Bigot, Jérémie, Raúl Gouet, Thierry Klein, & Alfredo Quijano-López. (2017). Geodesic PCA in the Wasserstein space by convex PCA. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 53(1). 48 indexed citations
13.
Bigot, Jérémie, et al.. (2013). Comparative Ionosphere Electron Content Estimation Method in SBAS Performances. Open Archive Toulouse Archive Ouverte (University of Toulouse). 2523–2532. 2 indexed citations
14.
Allassonnière, Stéphanie, et al.. (2013). Statistical models for deformable templates in image and shape analysis. Annales mathématiques Blaise Pascal. 20(1). 1–35. 4 indexed citations
15.
Bigot, Jérémie & Thierry Klein. (2013). Consistent estimation of a population barycenter in the Wasserstein space. 23 indexed citations
16.
Bigot, Jérémie, Marieke Longcamp, Fabien Dal Maso, & A.K. David. (2011). A new statistical test based on the wavelet cross-spectrum to detect time–frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions. NeuroImage. 55(4). 1504–1518. 48 indexed citations
17.
Bigot, Jérémie & Benjamin Charlier. (2010). On the consistency of Fr\\'echet means in deformable models for curve and\n image analysis. arXiv (Cornell University). 20 indexed citations
18.
Bigot, Jérémie & Sébastien Gadat. (2010). Smoothing under Diffeomorphic Constraints with Homeomorphic Splines. SIAM Journal on Numerical Analysis. 48(1). 224–243. 5 indexed citations
19.
Antoniadis, Anestis, Jérémie Bigot, & Rainer von Sachs. (2009). A Multiscale Approach for Statistical Characterization of Functional Images. Journal of Computational and Graphical Statistics. 18(1). 216–237. 12 indexed citations
20.
Bigot, Jérémie. (2006). Landmark-Based Registration of Curves via the Continuous Wavelet Transform. Journal of Computational and Graphical Statistics. 15(3). 542–564. 12 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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