Vivien Seguy

417 total citations
8 papers, 135 citations indexed

About

Vivien Seguy is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Vivien Seguy has authored 8 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 2 papers in Statistical and Nonlinear Physics and 2 papers in Signal Processing. Recurrent topics in Vivien Seguy's work include Sparse and Compressive Sensing Techniques (2 papers), Point processes and geometric inequalities (2 papers) and Scientific Research and Discoveries (1 paper). Vivien Seguy is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Point processes and geometric inequalities (2 papers) and Scientific Research and Discoveries (1 paper). Vivien Seguy collaborates with scholars based in Japan, France and Singapore. Vivien Seguy's co-authors include Marco Cuturi, Michael T. Gastner, Bharath Bhushan Damodaran, Rémi Flamary, Mathieu Blondel, Nicolas Courty, Jérémie Bigot, Nicolas Papadakis and Hiroshi Sawada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SIAM Journal on Scientific Computing and Computer Vision and Image Understanding.

In The Last Decade

Vivien Seguy

8 papers receiving 128 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vivien Seguy Japan	6	43	34	17	16	14	8	135
Yuansi Chen United States	5	35 0.8×	23 0.7×	14 0.8×	14 0.9×	23 1.6×	10	114
Ewa Skubalska-Rafajłowicz Poland	7	36 0.8×	27 0.8×	8 0.5×	8 0.5×	14 1.0×	16	83
Mathieu Blondel Japan	11	62 1.4×	98 2.9×	5 0.3×	12 0.8×	8 0.6×	23	284
Carl-Johann Simon-Gabriel Germany	5	72 1.7×	61 1.8×	5 0.3×	10 0.6×	7 0.5×	7	126
Suriya Gunasekar United States	6	43 1.0×	68 2.0×	7 0.4×	10 0.6×	10 0.7×	15	128
Matthias Rottmann Germany	8	79 1.8×	82 2.4×	8 0.5×	7 0.4×	7 0.5×	28	244
Laurent Zwald France	4	47 1.1×	52 1.5×	5 0.3×	18 1.1×	80 5.7×	5	192
Julien Fageot Switzerland	7	61 1.4×	20 0.6×	8 0.5×	4 0.3×	10 0.7×	32	178
Paweł Góra Poland	5	19 0.4×	20 0.6×	5 0.3×	8 0.5×	8 0.6×	12	208
Pierre-André Savalle France	2	17 0.4×	27 0.8×	7 0.4×	14 0.9×	13 0.9×	2	78

Countries citing papers authored by Vivien Seguy

Since Specialization

Citations

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

Fields of papers citing papers by Vivien Seguy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivien Seguy

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

All Works

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8 of 8 papers shown

1.

Seguy, Vivien, et al.. (2021). Fast optimal transport regularized projection and application to coefficient shrinkage and filtering. The Visual Computer. 38(2). 477–491. 1 indexed citations

2.

Damodaran, Bharath Bhushan, Rémi Flamary, Vivien Seguy, & Nicolas Courty. (2019). An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Computer Vision and Image Understanding. 191. 102863–102863. 31 indexed citations

3.

Blondel, Mathieu, et al.. (2018). Smooth and Sparse Optimal Transport. International Conference on Artificial Intelligence and Statistics. 880–889. 15 indexed citations

4.

Gastner, Michael T., et al.. (2018). Fast flow-based algorithm for creating density-equalizing map projections. Proceedings of the National Academy of Sciences. 115(10). E2156–E2164. 38 indexed citations

5.

Seguy, Vivien, et al.. (2018). Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. SIAM Journal on Scientific Computing. 40(2). B429–B456. 24 indexed citations

6.

Seguy, Vivien, et al.. (2018). Blind source separation with optimal transport non-negative matrix factorization. EURASIP Journal on Advances in Signal Processing. 2018(1). 10 indexed citations

7.

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

8.

Seguy, Vivien & Marco Cuturi. (2015). Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric. arXiv (Cornell University). 28. 3312–3320. 15 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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