World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
29757
World Ranking
2032
National Ranking
1028

Mathematics

D-Index
68
Citations
29696
World Ranking
298
National Ranking
165

John C. Duchi publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where John C. Duchi sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 142 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

John C. Duchi D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where John C. Duchi sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 68 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2017 - Fellow of Alfred P. Sloan Foundation

Overview

John C. Duchi is affiliated with Stanford University in the United States and works primarily in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Computational Mechanics, and Computer Networks and Communications.

The scientist's main research topics involve Statistical Methods and Inference, Stochastic Gradient Optimization Techniques, Privacy-Preserving Technologies in Data, Sparse and Compressive Sensing Techniques, Machine Learning and Data Classification, Adversarial Robustness in Machine Learning, and Machine Learning and Algorithms.

John C. Duchi has contributed to numerous publications, with many appearing in the following venues:

  • arXiv (Cornell University)
  • The Annals of Statistics
  • Mathematical Programming
  • Mathematics of Operations Research
  • Journal of the American Statistical Association

Their recent papers include:

  • Lower bounds for non-convex stochastic optimization, 2022, Mathematical Programming
  • Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach, 2021, Mathematics of Operations Research
  • Learning models with uniform performance via distributionally robust optimization, 2021, The Annals of Statistics
  • Understanding and Mitigating the Tradeoff Between Robustness and Accuracy, 2020, arXiv (Cornell University)

Frequent collaborators with John C. Duchi include Maxime Cauchois, Suyash Gupta, Hilal Asi, Hongseok Namkoong, and Alnur Ali.

In recognition of their work, John C. Duchi was named a Fellow of the Alfred P. Sloan Foundation in 2017.

Best Publications

  • Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

    John Duchi;Elad Hazan;Yoram Singer

  • Efficient projections onto the l1-ball for learning in high dimensions

    John Duchi;Shai Shalev-Shwartz;Yoram Singer;Tushar Chandra

  • Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling

    J. C. Duchi;A. Agarwal;M. J. Wainwright

  • Local privacy and statistical minimax rates

    John C. Duchi;Michael I. Jordan;Martin J. Wainwright

  • Communication-efficient algorithms for statistical optimization

    Yuchen Zhang;John C. Duchi;Martin J. Wainwright

  • Efficient Online and Batch Learning Using Forward Backward Splitting

    John Duchi;Yoram Singer

  • Distributed delayed stochastic optimization

    Alekh Agarwal;John C. Duchi

  • Certifying Some Distributional Robustness with Principled Adversarial Training

    Aman Sinha;Hongseok Namkoong;John C. Duchi

  • Generalizing to Unseen Domains via Adversarial Data Augmentation

    Riccardo Volpi;Hongseok Namkoong;Ozan Sener;John C. Duchi

  • Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations

    John C. Duchi;Michael I. Jordan;Martin J. Wainwright;Andre Wibisono

  • MLbase: A Distributed Machine-learning System

    Tim Kraska;Ameet Talwalkar;John C. Duchi;Rean Griffith

  • Unlabeled Data Improves Adversarial Robustness

    Yair Carmon;Aditi Raghunathan;Ludwig Schmidt;John C. Duchi

  • Minimax Optimal Procedures for Locally Private Estimation

    John C. Duchi;Michael I. Jordan;Martin J. Wainwright

  • Composite objective mirror descent

    John C. Duchi;Shai Shalev-Shwartz;Yoram Singer;Ambuj Tewari

  • Protection Against Reconstruction and Its Applications in Private Federated Learning

    Abhishek Bhowmick;John C. Duchi;Julien Freudiger;Gaurav Kapoor

  • Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates

    Yuchen Zhang;John Duchi;Martin Wainwright

  • Accelerated Methods for Non-Convex Optimization

    Yair Carmon;John C. Duchi;Oliver Hinder;Aaron Sidford

  • Divide and Conquer Kernel Ridge Regression

    Yuchen Zhang;John C. Duchi;Martin J. Wainwright

  • Information-theoretic lower bounds for distributed statistical estimation with communication constraints

    Yuchen Zhang;John Duchi;Michael I Jordan;Martin J Wainwright

  • RANDOMIZED SMOOTHING FOR STOCHASTIC OPTIMIZATION

    John C. Duchi;Peter L. Bartlett;Martin J. Wainwright

  • Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences

    Hongseok Namkoong;John C. Duchi

  • Variance-based Regularization with Convex Objectives

    Hongseok Namkoong;John C. Duchi

  • Lower Bounds for Non-Convex Stochastic Optimization.

    Yossi Arjevani;Yair Carmon;John C. Duchi;Dylan J. Foster

  • Minimax Optimal Procedures for Locally Private Estimation

    John Duchi;Martin Wainwright;Michael Jordan

Frequent Co-Authors

Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Alekh Agarwal
Alekh Agarwal Google (United States)
Percy Liang
Percy Liang Stanford University
Aaron Sidford
Aaron Sidford Stanford University
Yoram Singer
Yoram Singer Princeton University
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley
Mikael Johansson
Mikael Johansson Royal Institute of Technology
Daphne Koller
Daphne Koller insitro Inc.

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