2026 Marco Cuturi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	47	6310	6127	135	132	116	16139

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

6310

6127

135

132

116

16139

Overview

Marco Cuturi is affiliated with the École Nationale de la Statistique et de l'Administration Économique in France. Their research primarily spans the field of Computer Science, with particular attention to several subfields and topics that shape their scientific contributions.

The main areas of study for Cuturi include:

Artificial Intelligence
Molecular Biology
Computer Vision and Pattern Recognition
Statistics and Probability
Computational Mechanics

Within these subfields, the main topics explored in their work involve:

Markov Chains and Monte Carlo Methods
Single-cell and spatial transcriptomics
Sparse and Compressive Sensing Techniques
Gaussian Processes and Bayesian Inference
Adversarial Robustness in Machine Learning
Geometric Analysis and Curvature Flows
Topological and Geometric Data Analysis

Marco Cuturi has authored numerous papers with notable recent publications including:

"Mapping cells through time and space with moscot", 2025, Nature
"Mapping cells through time and space with moscot", 2023, bioRxiv (Cold Spring Harbor Laboratory)
"Learning with Differentiable Perturbed Optimizers", 2020, arXiv (Cornell University)
"Missing Data Imputation using Optimal Transport", 2020, arXiv (Cornell University)
"Efficient and Modular Implicit Differentiation", 2021, arXiv (Cornell University)

The venues where Cuturi frequently publishes include:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Nature
Nature Reviews Methods Primers
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Frequent co-authors in their collaborations are:

Michal Klein
Gabriel Peyré
Meyer Scetbon
Laetitia Meng-Papaxanthos
Jean-Philippe Vert

Best Publications

Sinkhorn Distances: Lightspeed Computation of Optimal Transport

Marco Cuturi

2701
Citations
Computational Optimal Transport: With Applications to Data Science

Gabriel Peyré;Marco Cuturi

1394
Citations
Computational Optimal Transport

Gabriel Peyré;Marco Cuturi

1235
Citations
Iterative Bregman Projections for Regularized Transportation Problems

Jean-David Benamou;Guillaume Carlier;Marco Cuturi;Luca Nenna

790
Citations
Convolutional wasserstein distances: efficient optimal transportation on geometric domains

Justin Solomon;Fernando de Goes;Gabriel Peyré;Marco Cuturi

645
Citations
Fast Computation of Wasserstein Barycenters

Marco Cuturi;Arnaud Doucet

610
Citations
Learning Generative Models with Sinkhorn Divergences

Aude Genevay;Gabriel Peyre;Marco Cuturi

437
Citations
Soft-DTW: a Differentiable Loss Function for Time-Series

Marco Cuturi;Mathieu Blondel

394
Citations
Fast Global Alignment Kernels

Marco Cuturi

345
Citations
A Kernel for Time Series Based on Global Alignments

M. Cuturi;J. P. Vert;O. Birkenes;T. Matsui

284
Citations
Gromov-wasserstein averaging of kernel and distance matrices

Gabriel Peyré;Marco Cuturi;Justin Solomon

263
Citations
Stochastic Optimization for Large-scale Optimal Transport

Aude Genevay;Marco Cuturi;Gabriel Peyré;Francis R. Bach

212
Citations
Sliced Wasserstein kernel for persistence diagrams

Mathieu Carrière;Marco Cuturi;Steve Oudot

208
Citations
A Smoothed Dual Approach for Variational Wasserstein Problems

Marco Cuturi;Gabriel Peyré

188
Citations
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning

Morgan A. Schmitz;Matthieu Heitz;Nicolas Bonneel;Fred Maurice Ngolè Mboula

187
Citations
Sample Complexity of Sinkhorn Divergences

Aude Genevay;Lénaïc Chizat;Francis R. Bach;Marco Cuturi

172
Citations
Wasserstein barycentric coordinates: histogram regression using optimal transport

Nicolas Bonneel;Gabriel Peyré;Marco Cuturi

162
Citations
Fast Dictionary Learning with a Smoothed Wasserstein Loss

Antoine Rolet;Marco Cuturi;Gabriel Peyré

144
Citations
Stochastic Optimization for Large-scale Optimal Transport

Genevay Aude;Marco Cuturi;Gabriel Peyré;Francis Bach

130
Citations
Semigroup Kernels on Measures

Marco Cuturi;Kenji Fukumizu;Jean-Philippe Vert

113
Citations
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

Marco Cuturi

101
Citations
Differentiable Ranks and Sorting using Optimal Transport

Marco Cuturi;Olivier Teboul;Jean-Philippe Vert

13
Citations

Frequent Co-Authors

Gabriel Peyré École Normale Supérieure

Alexandre Gramfort META

Jean-Philippe Vert Google (United States)

Michael I. Jordan University of California, Berkeley

Francis Bach École Normale Supérieure

Xi Chen Columbia University

Kenji Fukumizu The Institute of Statistical Mathematics

Bertrand Thirion University of Paris-Saclay

Sylvain Gelly Google (United States)

Arnaud Doucet University of Oxford

External Links

Personal website of Marco Cuturi Google Scholar page

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