World's Best Scientists 2026 revealed!
Philippe Rigollet

Philippe Rigollet

Philippe Rigollet publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Philippe Rigollet sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

The last bar groups every scientist with 804 publications or more.

Philippe Rigollet D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Philippe Rigollet sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

The last bar groups every scientist with 107 D-Index or more.

Overview

Philippe Rigollet is affiliated with MIT in the United States and works primarily in the fields of Mathematics and Computer Science. Their research focuses on statistics, probability, artificial intelligence, applied mathematics, molecular biology, and computational theory and mathematics.

The scientist's work covers several specific topics including:

  • Markov Chains and Monte Carlo Methods
  • Statistical Methods and Inference
  • Geometric Analysis and Curvature Flows
  • Bayesian Methods and Mixture Models
  • Topological and Geometric Data Analysis
  • Advanced Neuroimaging Techniques and Applications
  • Gaussian Processes and Bayesian Inference

Philippe Rigollet has published extensively, with a significant number of papers appearing in venues such as:

  • arXiv (Cornell University)
  • The Annals of Statistics
  • Bernoulli
  • eLife
  • Mathematical Statistics and Learning

Among recent publications are:

  • Estimation of Wasserstein distances in the Spiked Transport Model, 2022, Bernoulli
  • Gradient descent algorithms for Bures-Wasserstein barycenters, 2020, arXiv (Cornell University)
  • Optimal rates of estimation for multi-reference alignment, 2020, Mathematical Statistics and Learning
  • Minimax estimation of smooth optimal transport maps, 2021, The Annals of Statistics
  • Exponential ergodicity of mirror-Langevin diffusions, 2020, arXiv (Cornell University)

Their frequent coauthors include:

  • Sinho Chewi
  • Thibaut Le Gouic
  • Jonathan Niles-Weed
  • Yury Polyanskiy
  • George Stepaniants

Philippe Rigollet has also contributed to book publications. One such work is titled Statistical Optimal Transport, scheduled for release in 2025 by Springer Nature.

Best Publications

  • Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming.

    Geoffrey Schiebinger;Geoffrey Schiebinger;Jian Shu;Jian Shu;Marcin Tabaka;Brian Cleary;Brian Cleary

  • Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

    Jason Max Altschuler;Jonathan Weed;Philippe Rigollet

  • Complexity Theoretic Lower Bounds for Sparse Principal Component Detection

    Quentin Berthet;Philippe Rigollet

  • Optimal detection of sparse principal components in high dimension

    Quentin Berthet;Philippe Rigollet

  • Exponential Screening and optimal rates of sparse estimation

    Philippe Rigollet;Alexandre Tsybakov

  • Learning by mirror averaging

    Anatoli Juditsky;Philippe Rigollet;Alexandre Tsybakov

  • The multi-armed bandit problem with covariates

    Vianney Perchet;Philippe Rigollet

  • Batched bandit problems

    Vianney Perchet;Philippe Rigollet;Sylvain Chassang;Erik Snowberg

  • Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption

    Philippe Rigollet

  • Optimal rates for plug-in estimators of density level sets

    Philippe Rigollet;Régis Vert

  • Sparse Estimation by Exponential Weighting

    Philippe Rigollet;Alexandre B. Tsybakov

  • Linear and convex aggregation of density estimators

    Philippe Rigollet;Alexandre Tsybakov

  • Computational Lower Bounds for Sparse PCA

    Quentin Berthet;Philippe Rigollet

  • Bounded regret in stochastic multi-armed bandits

    Sébastien Bubeck;Vianney Perchet;Philippe Rigollet

  • Nonparametric Bandits with Covariates

    Philippe Rigollet;Assaf Zeevi

  • Neyman-Pearson Classification, Convexity and Stochastic Constraints

    Philippe Rigollet;Xin Tong

  • Optimal rates for total variation denoising

    Jan-Christian span>tter;Philippe Rigollet

  • Estimation of Wasserstein distances in the Spiked Transport Model

    Jonathan Niles-Weed;Philippe Rigollet

  • Minimax estimation of smooth optimal transport maps

    Jan-Christian Hütter;Philippe Rigollet

  • Gradient descent algorithms for Bures-Wasserstein barycenters

    Sinho Chewi;Tyler Maunu;Philippe Rigollet;Austin J. Stromme

Frequent Co-Authors

Eric S. Lander
Eric S. Lander Broad Institute
Aviv Regev
Aviv Regev Genentech
Konrad Hochedlinger
Konrad Hochedlinger Harvard University
Assaf Zeevi
Assaf Zeevi Columbia University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering a degree in Engineering and Technology, exploring related online programs can broaden your expertise and career opportunities. Many students supplement their technical knowledge with business, management, or communication skills through flexible, affordable online degrees.

For those interested in leadership or human resource management within tech-driven industries, pursuing one of the cheapest online masters in human resources can enhance your ability to recruit and retain top talent. If you aspire to strengthen your communication abilities—a key asset for engineers and tech professionals—consider an online master of communications.

Entrepreneurship is another valuable pathway. Engineers often innovate, launch startups, or lead teams—skills fostered in online mba entrepreneurship programs. For those who want a general business education without the hurdle of standardized testing, there are many cheapest online mba no gmat options available.

Combining engineering expertise with skills in management, communications, or entrepreneurship can open doors across a variety of fast-growing sectors in the U.S. job market.

Best Scientists Citing Philippe Rigollet

Trending Scientists

Recently Published Articles