Marco Cuturi

44 papers receiving 2.5k citations

Marco Cuturi's Hit Papers

Mapping cells through time and space with moscot 2025 · 24 citations
240+4+8Years since publication2505007501000

Peers

Marco Cuturi
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 885
  • Computer Graphics and Computer-Aided Design 127
  • Applied Mathematics 359
  • Statistics and Probability 268
  • Artificial Intelligence 934
Replace Frank Nielsen with:
Frank Nielsen Japan
Douglas P. Hardin United States
Alex Kulesza United States
Bruce Jay Collings United States
Felipe Cucker Hong Kong
Allan Pinkus Israel
J. B. Rosen United States
David L. Neuhoff United States
Henry Wolkowicz Canada
Suvrit Sra United States
Marco Cuturi relative to Frank Nielsen Japan Frank Nielsen's profile →
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Countries citing papers authored by Marco Cuturi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Cuturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Cuturi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Cuturi Line = papers co-authored together Marco Cuturi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sinkhorn Distances: Lightspeed Computation of Optimal Transport
Hit paper breakdown →
20131045
2
Iterative Bregman Projections for Regularized Transportation Problems
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2015311
3
Convolutional wasserstein distances
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2015229
4 2013169
5
Fast Global Alignment Kernels
2011141
6 2019111
7 201663
8 201650
9 201838
10 201137
11
Fast Dictionary Learning with a Smoothed Wasserstein Loss
201636
12
Wasserstein Training of Restricted Boltzmann Machines
201634
13
Semigroup Kernels on Measures
200533
14 201530
15
Mapping cells through time and space with moscot
Hit paper breakdown →
202524
16 201824
17
Differentiable Ranking and Sorting using Optimal Transport
201920
18
Learning with Differentiable Pertubed Optimizers
202020
19
Unsupervised Hyper-alignment for Multilingual Word Embeddings
201818
20 200518

About Marco Cuturi

Marco Cuturi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Applied Mathematics, Computational Theory and Mathematics and Computational Mechanics, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (7 papers), Geometric Analysis and Curvature Flows (7 papers), Machine Learning and Algorithms (6 papers), Topological and Geometric Data Analysis (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Markov Chains and Monte Carlo Methods (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (885 citations), Computer Graphics and Computer-Aided Design (127 citations), Applied Mathematics (359 citations), Statistics and Probability (268 citations) and Artificial Intelligence (934 citations). Marco Cuturi has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Gabriel Peyré, Randal Douc, Luca Nenna, Guillaume Carlier, Jean‐David Benamou, Jean‐Philippe Vert, Leonidas Guibas, Andy Nguyễn, Adrian Butscher and Justin Solomon. Their work appears in journals such as ACM Transactions on Graphics, SIAM Journal on Scientific Computing, Machine Learning, Journal of Machine Learning Research and SIAM Journal on Imaging Sciences.

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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