World's Best Scientists 2026 revealed!
Suvrit Sra

Suvrit Sra

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
14813
World Ranking
1761
National Ranking
571

Suvrit Sra 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 Suvrit Sra 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+

This scientist: 224 publications — 56th percentile

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

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

Suvrit Sra 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 Suvrit Sra 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+

This scientist: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Suvrit Sra is affiliated with MIT in the United States and has contributed extensively to research in computer science and mathematics. Their scholarly work spans multiple subfields, with a focus on artificial intelligence, applied mathematics, computational mechanics, computational theory and mathematics, and numerical analysis.

Their research topics include:

  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Advanced Optimization Algorithms Research
  • Mathematical Inequalities and Applications
  • Optimization and Variational Analysis
  • Domain Adaptation and Few-Shot Learning
  • Point processes and geometric inequalities

Suvrit Sra has published in a variety of venues, with a significant number of papers appearing in arXiv (Cornell University). Their frequent publication venues include:

  • arXiv (Cornell University)
  • Linear Algebra and its Applications
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mathematical Programming
  • Frontiers in Artificial Intelligence

Among recent papers authored or coauthored by Sra are:

  • "Max-Margin Contrastive Learning," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Contrastive Learning with Hard Negative Samples," 2020, arXiv (Cornell University)
  • "Sign and Basis Invariant Networks for Spectral Graph Representation Learning," 2022, arXiv (Cornell University)
  • "Riemannian Optimization via Frank-Wolfe Methods," 2022, Mathematical Programming
  • "From Nesterov's Estimate Sequence to Riemannian Acceleration," 2020, arXiv (Cornell University)

Collaboration plays a role in Sra's research efforts. Frequent coauthors include:

  • Kwangjun Ahn
  • Alp Yurtsever
  • Jingzhao Zhang
  • Ali Jadbabaie
  • Chulhee Yun

Best Publications

  • Information-theoretic metric learning

    Jason V. Davis;Brian Kulis;Prateek Jain;Suvrit Sra

  • Clustering on the Unit Hypersphere using von Mises-Fisher Distributions

    Arindam Banerjee;Inderjit S. Dhillon;Joydeep Ghosh;Suvrit Sra

  • Optimization for Machine Learning

    Suvrit Sra;Sebastian Nowozin;Stephen J. Wright

  • Generalized Nonnegative Matrix Approximations with Bregman Divergences

    Suvrit Sra;Inderjit S. Dhillon

  • Stochastic variance reduction for nonconvex optimization

    Sashank J. Reddi;Ahmed Hefny;Suvrit Sra;Barnabás Póczós

  • Minimum sum-squared residue co-clustering of gene expression data

    Hyuk Cho;Inderjit S. Dhillon;Yuqiang Guan;Suvrit Sra

  • Efficient filter flow for space-variant multiframe blind deconvolution

    Michael Hirsch;Suvrit Sra;Bernhard Scholkopf;Stefan Harmeling

  • Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity

    Jingzhao Zhang;Tianxing He;Suvrit Sra;Ali Jadbabaie

  • Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices

    A. Cherian;S. Sra;A. Banerjee;N. Papanikolopoulos

  • A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s ( x )

    Suvrit Sra

  • Randomized Nonlinear Component Analysis

    David Lopez-Paz;Suvrit Sra;Alex Smola;Zoubin Ghahramani

  • Entropic metric alignment for correspondence problems

    Justin Solomon;Gabriel Peyré;Vladimir G. Kim;Suvrit Sra

  • Randomized Nonlinear Component Analysis

    David Lopez-Paz;Suvrit Sra;Alex Smola;Zoubin Ghahramani

  • Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization

    Sashank J. Reddi;Suvrit Sra;Barnabas Poczos;Alexander J. Smola

  • Riemannian SVRG: fast stochastic optimization on riemannian manifolds

    Hongyi Zhang;Sashank J. Reddi;Suvrit Sra

  • First-order Methods for Geodesically Convex Optimization

    Hongyi Zhang;Suvrit Sra

  • On variance reduction in stochastic gradient descent and its asynchronous variants

    Sashank J. Reddi;Ahmed Hefny;Suvrit Sra;Barnabás Pöczos

  • Generative model-based clustering of directional data

    Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Suvrit Sra

  • Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem

    Dongmin Kim;Suvrit Sra;Inderjit S. Dhillon

  • Stochastic Frank-Wolfe methods for nonconvex optimization

    Sashank J. Reddi;Suvrit Sra;Barnabas Poczos;Alex Smola

  • Conic Geometric Optimization on the Manifold of Positive Definite Matrices

    Suvrit Sra;Reshad Hosseini

  • Fast stochastic optimization on Riemannian manifolds.

    Hongyi Zhang;Sashank J. Reddi;Suvrit Sra

Frequent Co-Authors

Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Sashank J. Reddi
Sashank J. Reddi Google (United States)
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Anoop Cherian
Anoop Cherian Mitsubishi Electric (United States)
Barnabás Póczos
Barnabás Póczos Carnegie Mellon University
Arindam Banerjee
Arindam Banerjee University of Illinois at Urbana-Champaign
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Sanjiv Kumar
Sanjiv Kumar Google (United States)

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