World's Best Scientists 2026 revealed!
Devavrat Shah

Devavrat Shah

D-Index & Metrics

Computer Science

D-Index
72
Citations
21557
World Ranking
1671
National Ranking
858

Devavrat Shah 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 Devavrat Shah 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: 332 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Devavrat Shah 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 Devavrat Shah 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Devavrat Shah is affiliated with MIT in the United States and is engaged in research primarily within the fields of Computer Science and Mathematics. Their work spans subfields including Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Computational Mechanics, and Modeling and Simulation.

The research topics covered by Shah include a variety of specialized areas such as Statistical Methods and Inference, Sparse and Compressive Sensing Techniques, Advanced Causal Inference Techniques, Stochastic Gradient Optimization Techniques, Reinforcement Learning in Robotics, COVID-19 epidemiological studies, and Advanced Bandit Algorithms Research.

Frequent publication venues for Shah include:

  • arXiv (Cornell University)
  • Blood
  • ACM SIGMETRICS Performance Evaluation Review
  • IEEE Transactions on Information Theory
  • Operations Research

Shah has collaborated extensively with a number of coauthors, indicating ongoing research partnerships. Notable frequent coauthors are:

  • Ali Jadbabaie
  • Dennis Shen
  • Anish Agarwal
  • Mark N Sorial
  • Salvia Jain

Some recent papers authored or coauthored by Devavrat Shah include:

  • Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation, 2020, arXiv (Cornell University)
  • Iterative Collaborative Filtering for Sparse Matrix Estimation, 2021, Operations Research
  • Federated Optimization of Smooth Loss Functions, 2023, IEEE Transactions on Information Theory
  • Causal Matrix Completion, 2021, arXiv (Cornell University)
  • On Multivariate Singular Spectrum Analysis and Its Variants, 2022, ACM SIGMETRICS Performance Evaluation Review

Best Publications

  • Randomized gossip algorithms

    Stephen Boyd;Arpita Ghosh;Balaji Prabhakar;Devavrat Shah

  • Throughput-delay trade-off in wireless networks

    A.El. Gamal;J. Mammen;B. Prabhakar;D. Shah

  • Rumors in a Network: Who's the Culprit?

    D. Shah;T. Zaman

  • Gossip algorithms: design, analysis and applications

    S. Boyd;A. Ghosh;B. Prabhakar;D. Shah

  • Iterative Learning for Reliable Crowdsourcing Systems

    David R. Karger;Sewoong Oh;Devavrat Shah

  • Fastpass: a centralized "zero-queue" datacenter network

    Jonathan Perry;Amy Ousterhout;Hari Balakrishnan;Devavrat Shah

  • Optimal throughput-delay scaling in wireless networks: part I: the fluid model

    Abbas El Gamal;James Mammen;Balaji Prabhakar;Devavrat Shah

  • Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems

    David R. Karger;Sewoong Oh;Devavrat Shah

  • Turbo-charging vertical mining of large databases

    Pradeep Shenoy;Jayant R. Haritsa;S. Sudarshan;Gaurav Bhalotia

  • A Nonparametric Approach to Modeling Choice with Limited Data

    Vivek F. Farias;Srikanth Jagabathula;Devavrat Shah

  • Maximizing throughput in wireless networks via gossiping

    Eytan Modiano;Devavrat Shah;Gil Zussman

  • Network Coding Meets TCP: Theory and Implementation

    Jay Kumar Sundararajan;Devavrat Shah;Muriel Médard;Szymon Jakubczak

  • Network Coding Meets TCP

    J. K. Sundararajan;D. Shah;M. Medard;M. Mitzenmacher

  • Adaptive Alternating Minimization Algorithms

    U. Niesen;D. Shah;G.W. Wornell

  • ARQ for network coding

    J. Kumar Sundararajan;D. Shah;M. Medard

  • Fast updating algorithms for TCAM

    D. Shah;P. Gupta

  • Gossip Algorithms

    Devavrat Shah

  • Detecting sources of computer viruses in networks: theory and experiment

    Devavrat Shah;Tauhid Zaman

  • Network adiabatic theorem: an efficient randomized protocol for contention resolution

    Shreevatsa Rajagopalan;Devavrat Shah;Jinwoo Shin

  • Computing separable functions via gossip

    Damon Mosk-Aoyama;Devavrat Shah

Frequent Co-Authors

Balaji Prabhakar
Balaji Prabhakar Stanford University
Jinwoo Shin
Jinwoo Shin Korea Advanced Institute of Science and Technology
Paolo Giaccone
Paolo Giaccone Polytechnic University of Turin
Sewoong Oh
Sewoong Oh University of Washington

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