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Nathan Srebro

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 70 1840 1781 937 900 188 26319

Nathan Srebro publications per year

The chart shows the history of publications by Nathan Srebro between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nathan Srebro published across 25 years, from 2001 to 2025, averaging 8.4 papers a year. Output peaked at 18 publications in 2021. 23 of the 211 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2021. 2001: 1 publication 2002: 1 publication 2003: 5 publications 2004: 6 publications 2005: 2 publications 2006: 2 publications 2007: 5 publications 2008: 5 publications 2009: 4 publications 2010: 9 publications 2011: 12 publications 2012: 11 publications 2013: 7 publications 2014: 6 publications 2015: 9 publications 2016: 12 publications 2017: 14 publications 2018: 14 publications 2019: 13 publications 2020: 14 publications 2021: 18 publications 2022: 7 publications 2023: 11 publications 2024: 13 publications 2025: 10 publications
2001 2025

211 publications in total across all disciplines

View publications per year as a table
Nathan Srebro: publications per year, 2001 to 2025
Year Publications
2001 1
2002 1
2003 5
2004 6
2005 2
2006 2
2007 5
2008 5
2009 4
2010 9
2011 12
2012 11
2013 7
2014 6
2015 9
2016 12
2017 14
2018 14
2019 13
2020 14
2021 18
2022 7
2023 11
2024 13
2025 10
Total 211
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Nathan Srebro 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 Nathan Srebro sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 182–191 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 188 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583 188
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Nathan Srebro 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 Nathan Srebro sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 70–71 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192 70
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Nathan Srebro is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research primarily intersects the field of Computer Science, with a strong emphasis on subfields including Artificial Intelligence, Computational Mechanics, Statistics and Probability, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The main topics in Nathan Srebro's research contributions cover a variety of areas related to machine learning and optimization. These include:

  • Machine Learning and Algorithms
  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification
  • Neural Networks and Applications

Nathan Srebro has coauthored numerous publications with frequent collaborators such as Gal Vardi, Blake Woodworth, Ohad Shamir, Daniel Soudry, and Lijia Zhou. These collaborators have appeared repeatedly in Srebro's work, indicating ongoing academic partnerships.

Their publication record includes a range of papers across several venues. Some significant recent papers are:

  • Lower bounds for non-convex stochastic optimization, 2022, Mathematical Programming
  • Is Local SGD Better than Minibatch SGD?, 2020, arXiv (Cornell University)
  • Minibatch vs Local SGD for Heterogeneous Distributed Learning, 2020, arXiv (Cornell University)
  • Does Invariant Risk Minimization Capture Invariance?, 2021, arXiv (Cornell University)
  • Fair Learning with Private Demographic Data, 2020, arXiv (Cornell University)

The majority of Nathan Srebro's work has been disseminated through arXiv (Cornell University), accounting for 61 publications. Other venues include Mathematical Programming, the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, the ACM / IMS Journal of Data Science, and the Journal of Statistical Mechanics Theory and Experiment, reflecting a diverse range of publication outlets.

Best Publications

  • Pegasos: primal estimated sub-gradient solver for SVM

    Shai Shalev-Shwartz;Yoram Singer;Nathan Srebro;Andrew Cotter

  • Equality of opportunity in supervised learning

    Moritz Hardt;Eric Price;Nathan Srebro

  • Pegasos: Primal Estimated sub-GrAdient SOlver for SVM

    Shai Shalev-Shwartz;Yoram Singer;Nathan Srebro

  • Maximum-Margin Matrix Factorization

    Nathan Srebro;Jason Rennie;Tommi S. Jaakkola

  • Fast maximum margin matrix factorization for collaborative prediction

    Jasson D. M. Rennie;Nathan Srebro

  • Exploring Generalization in Deep Learning

    Behnam Neyshabur;Srinadh Bhojanapalli;David McAllester;Nathan Srebro

  • Weighted low-rank approximations

    Nathan Srebro;Tommi Jaakkola

  • The Marginal Value of Adaptive Gradient Methods in Machine Learning

    Ashia C. Wilson;Rebecca Roelofs;Mitchell Stern;Nathan Srebro

  • Communication-Efficient Distributed Optimization using an Approximate Newton-type Method

    Ohad Shamir;Nati Srebro;Tong Zhang

  • The implicit bias of gradient descent on separable data

    Daniel Soudry;Elad Hoffer;Mor Shpigel Nacson;Suriya Gunasekar

  • Rank, trace-norm and max-norm

    Nathan Srebro;Adi Shraibman

  • Norm-Based Capacity Control in Neural Networks

    Behnam Neyshabur;Ryota Tomioka;Nathan Srebro

  • In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning

    Behnam Neyshabur;Ryota Tomioka;Nathan Srebro

  • Learnability, Stability and Uniform Convergence

    Shai Shalev-Shwartz;Ohad Shamir;Nathan Srebro;Karthik Sridharan

  • Uncovering shared structures in multiclass classification

    Yonatan Amit;Michael Fink;Nathan Srebro;Shimon Ullman

  • A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

    Behnam Neyshabur;Srinadh Bhojanapalli;Nathan Srebro

  • SVM optimization: inverse dependence on training set size

    Shai Shalev-Shwartz;Nathan Srebro

  • Learning with matrix factorizations

    Nathan Srebro;Tommi S. Jaakkola

  • Global optimality of local search for low rank matrix recovery

    Srinadh Bhojanapalli;Behnam Neyshabur;Nathan Srebro

  • Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

    Behnam Neyshabur;Zhiyuan Li;Srinadh Bhojanapalli;Yann LeCun

  • Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

    Deanna Needell;Nathan Srebro;Rachel Ward

  • The Implicit Bias of Gradient Descent on Separable Data

    Daniel Soudry;Elad Hoffer;Mor Shpigel Nacson;Nathan Srebro

  • The Implicit Bias of Gradient Descent on Separable Data

    Daniel Soudry;Elad Hoffer;Nathan Srebro

Frequent Co-Authors

Behnam Neyshabur
Behnam Neyshabur New York University
Daniel Soudry
Daniel Soudry Technion – Israel Institute of Technology
Karthik Sridharan
Karthik Sridharan Cornell University
Ohad Shamir
Ohad Shamir Weizmann Institute of Science
Jason D. Lee
Jason D. Lee Princeton University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Shai Shalev-Shwartz
Shai Shalev-Shwartz Hebrew University of Jerusalem
Tommi S. Jaakkola
Tommi S. Jaakkola MIT
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Ryota Tomioka
Ryota Tomioka Microsoft (United States)

External Links

Personal website of Nathan Srebro Google Scholar page

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Best Scientists Citing Nathan Srebro

Francis Bach

Francis Bach

École Normale Supérieure

Publications: 71

Peter Richtárik

Peter Richtárik

King Abdullah University of Science and Technology

Publications: 70

Shai Shalev-Shwartz

Shai Shalev-Shwartz

Hebrew University of Jerusalem

Publications: 54

Ohad Shamir

Ohad Shamir

Weizmann Institute of Science

Publications: 54

Rong Jin

Rong Jin

Alibaba Group (China)

Publications: 52

Tianbao Yang

Tianbao Yang

Texas A&M University

Publications: 45

Massimiliano Pontil

Massimiliano Pontil

Italian Institute of Technology

Publications: 40

Martin J. Wainwright

Martin J. Wainwright

MIT

Publications: 40

Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

Publications: 38

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 38

Ping Li

Ping Li

Baidu (China)

Publications: 37

Tong Zhang

Tong Zhang

University of Illinois at Urbana-Champaign

Publications: 35

Quanquan Gu

Quanquan Gu

University of California, Los Angeles

Publications: 33

Qiang Yang

Qiang Yang

Hong Kong University of Science and Technology

Publications: 31

Zhi-Hua Zhou

Zhi-Hua Zhou

Nanjing University

Publications: 30

Prateek Jain

Prateek Jain

Google (United States)

Publications: 30

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