World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
11840
World Ranking
6375
National Ranking
2845

Satyen Kale 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 Satyen Kale 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: 98 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Satyen Kale 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 Satyen Kale 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

Satyen Kale is affiliated with Google in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their scholarly output includes research on stochastic gradient optimization techniques, privacy-preserving technologies in data, and advanced bandit algorithms.

Their research spans several specialized areas within computer science, including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Management Science and Operations Research
  • Computer Networks and Communications
  • Computational Mechanics

Kale's recent work involves topics such as:

  • Stochastic Gradient Optimization Techniques
  • Privacy-Preserving Technologies in Data
  • Advanced Bandit Algorithms Research
  • Complexity and Algorithms in Graphs
  • Sparse and Compressive Sensing Techniques
  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning

The researcher has published primarily in the venue arXiv (Cornell University), with 27 contributions noted there. Selected recent publications include:

  • A Field Guide to Federated Optimization, 2021, arXiv (Cornell University)
  • Estimating Training Data Influence by Tracing Gradient Descent, 2020, arXiv (Cornell University)
  • Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning, 2020, arXiv (Cornell University)
  • On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data, 2022, arXiv (Cornell University)
  • On the Convergence of Federated Averaging with Cyclic Client Participation, 2023, arXiv (Cornell University)

Satyen Kale has collaborated frequently with a group of coauthors, with multiple joint publications. Notable coauthors include:

  • Naman Agarwal
  • Pranjal Awasthi
  • Gauri Joshi
  • Mehryar Mohri
  • Sashank J. Reddi

The body of work produced by Kale reflects a consistent engagement with topics critical to federated learning, optimization algorithms, and data privacy, contributing to both theoretical and applied dimensions within computer science research.

Best Publications

  • On the Convergence of Adam and Beyond

    Sashank J. Reddi;Satyen Kale;Sanjiv Kumar

  • Logarithmic regret algorithms for online convex optimization

    Elad Hazan;Amit Agarwal;Satyen Kale

  • The Multiplicative Weights Update Method: A Meta-Algorithm and Applications

    Sanjeev Arora;Elad Hazan;Satyen Kale

  • SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

    Sai Praneeth Reddy Karimireddy;Satyen Kale;Mehryar Mohri;Sashank Jakkam Reddi

  • Privacy, accuracy, and consistency too: a holistic solution to contingency table release

    Boaz Barak;Kamalika Chaudhuri;Cynthia Dwork;Satyen Kale

  • Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits

    Alekh Agarwal;Daniel Hsu;Satyen Kale;John Langford

  • A Combinatorial, Primal-Dual Approach to Semidefinite Programs

    Sanjeev Arora;Satyen Kale

  • Logarithmic regret algorithms for online convex optimization

    Elad Hazan;Adam Kalai;Satyen Kale;Amit Agarwal

  • Algorithms for portfolio management based on the Newton method

    Amit Agarwal;Elad Hazan;Satyen Kale;Robert E. Schapire

  • Beyond the regret minimization barrier: optimal algorithms for stochastic strongly-convex optimization

    Elad Hazan;Satyen Kale

  • Adaptive Methods for Nonconvex Optimization

    Manzil Zaheer;Sashank J. Reddi;Devendra Singh Sachan;Satyen Kale

  • Efficient optimal learning for contextual bandits

    Miroslav Dudik;Daniel Hsu;Satyen Kale;Nikos Karampatziakis

  • SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning.

    Sai Praneeth Karimireddy;Satyen Kale;Mehryar Mohri;Sashank J. Reddi

  • Who moderates the moderators?: crowdsourcing abuse detection in user-generated content

    Arpita Ghosh;Satyen Kale;Preston McAfee

  • Extracting certainty from uncertainty: regret bounded by variation in costs

    Elad Hazan;Satyen Kale

  • A Field Guide to Federated Optimization

    Jianyu Wang;Zachary Charles;Zheng Xu;Gauri Joshi

  • Fast algorithms for approximate semidefinite programming using the multiplicative weights update method

    S. Arora;E. Hazan;S. Kale

  • Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization

    Elad Hazan;Satyen Kale

  • Projection-free Online Learning

    Elad Hazan;Satyen Kale

  • Efficient aggregation algorithms for probabilistic data

    T. S. Jayram;Satyen Kale;Erik Vee

  • Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

    Sai Praneeth Karimireddy;Martin Jaggi;Satyen Kale;Mehryar Mohri

  • Estimating Training Data Influence by Tracing Gradient Descent

    Garima Pruthi;Frederick Liu;Satyen Kale;Mukund Sundararajan

Frequent Co-Authors

Elad Hazan
Elad Hazan Princeton University
Sashank J. Reddi
Sashank J. Reddi Google (United States)
Mehryar Mohri
Mehryar Mohri Google (United States)
Sanjiv Kumar
Sanjiv Kumar Google (United States)
Sanjeev Arora
Sanjeev Arora Princeton University
C. Seshadhri
C. Seshadhri University of California, Santa Cruz
John Langford
John Langford Microsoft (United States)
Karthik Sridharan
Karthik Sridharan Cornell University
Robert E. Schapire
Robert E. Schapire Microsoft (United States)
Daniel Hsu
Daniel Hsu 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 studying Computer Science in the USA, it's helpful to explore related online degrees and alternative career pathways. Many students find value in degrees that expand their technical expertise, such as engineering fields closely linked to computer science. In particular, the best online electrical engineering programs USA offer flexibility for students who want to develop skills in high-demand technologies while maintaining work or other commitments.

Alongside traditional degrees, short-term programs and certifications can provide a faster route to professional success. Some certifications for jobs are recognized by employers and lead to roles with strong earning potential—ideal for those looking to quickly improve their prospects in IT and computer science.

For those aiming to accelerate their educational journey, consider the fastest online master's degree options. These programs allow you to earn a valuable credential in less time, helping you transition to advanced positions or specialized fields sooner.

Before enrolling, research graduate degrees that are worth it to ensure your investment aligns with your career goals. Choosing the right path can maximize your skills and open doors to rewarding opportunities across tech industries.

Best Scientists Citing Satyen Kale

Trending Scientists

Recently Published Articles