World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
16139
World Ranking
6311
National Ranking
135

Marco Cuturi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Marco Cuturi sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 116 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Marco Cuturi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Marco Cuturi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

  • Computational Optimal Transport: With Applications to Data Science

    Gabriel Peyré;Marco Cuturi

  • Computational Optimal Transport

    Gabriel Peyré;Marco Cuturi

  • Iterative Bregman Projections for Regularized Transportation Problems

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

  • Convolutional wasserstein distances: efficient optimal transportation on geometric domains

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

  • Fast Computation of Wasserstein Barycenters

    Marco Cuturi;Arnaud Doucet

  • Learning Generative Models with Sinkhorn Divergences

    Aude Genevay;Gabriel Peyre;Marco Cuturi

  • Soft-DTW: a Differentiable Loss Function for Time-Series

    Marco Cuturi;Mathieu Blondel

  • Fast Global Alignment Kernels

    Marco Cuturi

  • A Kernel for Time Series Based on Global Alignments

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

  • Gromov-wasserstein averaging of kernel and distance matrices

    Gabriel Peyré;Marco Cuturi;Justin Solomon

  • Stochastic Optimization for Large-scale Optimal Transport

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

  • Sliced Wasserstein kernel for persistence diagrams

    Mathieu Carrière;Marco Cuturi;Steve Oudot

  • A Smoothed Dual Approach for Variational Wasserstein Problems

    Marco Cuturi;Gabriel Peyré

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

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

  • Sample Complexity of Sinkhorn Divergences

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

  • Wasserstein barycentric coordinates: histogram regression using optimal transport

    Nicolas Bonneel;Gabriel Peyré;Marco Cuturi

  • Fast Dictionary Learning with a Smoothed Wasserstein Loss

    Antoine Rolet;Marco Cuturi;Gabriel Peyré

  • Stochastic Optimization for Large-scale Optimal Transport

    Genevay Aude;Marco Cuturi;Gabriel Peyré;Francis Bach

  • Semigroup Kernels on Measures

    Marco Cuturi;Kenji Fukumizu;Jean-Philippe Vert

  • Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

    Marco Cuturi

  • Differentiable Ranks and Sorting using Optimal Transport

    Marco Cuturi;Olivier Teboul;Jean-Philippe Vert

Frequent Co-Authors

Gabriel Peyré
Gabriel Peyré École Normale Supérieure
Jean-Philippe Vert
Jean-Philippe Vert Google (United States)
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Francis Bach
Francis Bach École Normale Supérieure
Xi Chen
Xi Chen Columbia University
Kenji Fukumizu
Kenji Fukumizu The Institute of Statistical Mathematics
Bertrand Thirion
Bertrand Thirion University of Paris-Saclay
Sylvain Gelly
Sylvain Gelly Google (United States)
Arnaud Doucet
Arnaud Doucet University of Oxford

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