World's Best Scientists 2026 revealed!
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Peter Richtárik

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 59 3383 3287 14 14 210 16666

Peter Richtárik publications per year

The chart shows the history of publications by Peter Richtárik between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Richtárik published across 19 years, from 2007 to 2025, averaging 17.6 papers a year. Output peaked at 48 publications in 2024. 73 of the 334 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2024. 2007: 2 publications 2008: 1 publication 2009: 1 publication 2010: 1 publication 2011: 3 publications 2012: 4 publications 2013: 3 publications 2014: 9 publications 2015: 11 publications 2016: 17 publications 2017: 13 publications 2018: 20 publications 2019: 30 publications 2020: 41 publications 2021: 44 publications 2022: 33 publications 2023: 28 publications 2024: 48 publications 2025: 25 publications
2007 2025

334 publications in total across all disciplines

View publications per year as a table
Peter Richtárik: publications per year, 2007 to 2025
Year Publications
2007 2
2008 1
2009 1
2010 1
2011 3
2012 4
2013 3
2014 9
2015 11
2016 17
2017 13
2018 20
2019 30
2020 41
2021 44
2022 33
2023 28
2024 48
2025 25
Total 334
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Peter Richtárik 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 Peter Richtárik 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, 202–211 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: 210 publications — 50th percentile

50% 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
192–201 519
202–211 508 210
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

Peter Richtárik 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 Peter Richtárik 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, 58–59 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: 59 D-Index — 77th percentile

77% 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 59
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
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

Peter Richtárik is affiliated with the King Abdullah University of Science and Technology in Saudi Arabia. Their research spans multiple domains primarily within computer science and engineering, with a significant number of publications focusing on artificial intelligence and computational mechanics.

Their scholarly contributions cover a wide array of subfields, including:

  • Artificial Intelligence
  • Computational Mechanics
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Statistics and Probability

Richtárik's work addresses key topics related to optimization and machine learning technologies, often focusing on stochastic methods and privacy concerns. The main topics of their research include:

  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Privacy-Preserving Technologies in Data
  • Advanced Optimization Algorithms Research
  • Advanced Bandit Algorithms Research
  • Machine Learning and Extreme Learning Machines (ELM)
  • Machine Learning and Algorithms

Their frequent publication venues reflect a diverse engagement with both open-access repositories and established journals. These venues include:

  • arXiv (Cornell University)
  • King Abdullah University of Science and Technology Repository
  • Computational Optimization and Applications
  • Optimization Methods & Software
  • Journal of Optimization Theory and Applications

Some recent papers authored or co-authored by Peter Richtárik include:

  • "Federated Learning of a Mixture of Global and Local Models," 2020, arXiv (Cornell University)
  • "A Field Guide to Federated Optimization," 2021, arXiv (Cornell University)
  • "Optimal Client Sampling for Federated Learning," 2020, arXiv (Cornell University)
  • "Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods," 2020, Computational Optimization and Applications
  • "Lower Bounds and Optimal Algorithms for Personalized Federated Learning," 2020, arXiv (Cornell University)

Collaboration plays a notable role in their research output, with frequent co-authors including:

  • Samuel Horváth
  • Grigory Malinovsky
  • Dmitry Kovalev
  • Laurent Condat
  • Eduard Gorbunov

Best Publications

  • Federated Learning: Strategies for Improving Communication Efficiency

    Jakub Konečný;H. Brendan McMahan;Felix X. Yu;Peter Richtarik

  • Federated Optimization: Distributed Machine Learning for On-Device Intelligence

    Jakub Konečný;H. Brendan McMahan;Daniel Ramage;Peter Richtarik

  • Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function

    Peter Richtárik;Martin Takáč

  • Generalized Power Method for Sparse Principal Component Analysis

    Michel Journée;Yurii Nesterov;Peter Richtárik;Rodolphe Sepulchre

  • Parallel coordinate descent methods for big data optimization

    Peter Richtárik;Martin Takáč

  • Accelerated, Parallel, and Proximal Coordinate Descent

    Olivier Fercoq;Peter Richtárik

  • Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

    Jakub Konecny;Jie Liu;Peter Richtarik;Martin Takac

  • Federated Learning of a Mixture of Global and Local Models

    Filip Hanzely;Peter Richtarik

  • Distributed coordinate descent method for learning with big data

    Peter Richtárik;Martin Takáč

  • Semi-Stochastic Gradient Descent Methods

    Jakub Konečný;Peter Richtárik

  • Distributed optimization with arbitrary local solvers

    Chenxin Ma;Jakub Konečný;Martin Jaggi;Virginia Smith

  • Scaling Distributed Machine Learning with In-Network Aggregation

    Amedeo Sapio;Marco Canini;Chen-Yu Ho;Jacob Nelson

  • Mini-Batch Primal and Dual Methods for SVMs

    Martin Takac;Avleen Bijral;Peter Richtarik;Nati Srebro

  • Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods

    Nicolas Loizou;Peter Richtárik

  • Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

    Antonin Chambolle;Matthias J. Ehrhardt;Peter Richtárik;Peter Richtárik;Carola-Bibiane Schönlieb

  • Tighter Theory for Local SGD on Identical and Heterogeneous Data

    Ahmed Khaled;Konstantin Mishchenko;Peter Richtarik

  • A Field Guide to Federated Optimization

    Jianyu Wang;Zachary Charles;Zheng Xu;Gauri Joshi

  • Even faster accelerated coordinate descent using non-uniform sampling

    Zeyuan Allen-Zhu;Zheng Qu;Peter Richtárik;Yang Yuan

  • Adding vs. Averaging in Distributed Primal-Dual Optimization

    Chenxin Ma;Virginia Smith;Martin Jaggi;Michael Jordan

  • SGD: General Analysis and Improved Rates

    Robert Mansel Gower;Nicolas Loizou;Xun Qian;Alibek Sailanbayev

  • Distributed Learning with Compressed Gradient Differences.

    Konstantin Mishchenko;Eduard A. Gorbunov;Martin Takác;Peter Richtárik

  • First Analysis of Local GD on Heterogeneous Data

    Ahmed Khaled;Konstantin Mishchenko;Peter Richtárik

  • Optimal Client Sampling for Federated Learning

    Wenlin Chen;Samuel Horvath;Peter Richtarik

  • On Biased Compression for Distributed Learning.

    Aleksandr Beznosikov;Samuel Horváth;Peter Richtárik;Mher Safaryan

  • Better Theory for SGD in the Nonconvex World

    Ahmed Khaled;Peter Richtárik

Frequent Co-Authors

Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Yurii Nesterov
Yurii Nesterov Université Catholique de Louvain
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Marco Canini
Marco Canini King Abdullah University of Science and Technology
Francis Bach
Francis Bach École Normale Supérieure
Marten van Dijk
Marten van Dijk University of Connecticut
Katya Scheinberg
Katya Scheinberg Cornell University
Ngai-Man Cheung
Ngai-Man Cheung Singapore University of Technology and Design
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Rodolphe Sepulchre
Rodolphe Sepulchre University of Cambridge

External Links

Personal website of Peter Richtárik Google Scholar page

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Tong Zhang

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Publications: 29

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 28

Wotao Yin

Wotao Yin

Alibaba Group (China)

Publications: 28

Han Liu

Han Liu

Northwestern University

Publications: 26

Deanna Needell

Deanna Needell

University of California, Los Angeles

Publications: 23

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Publications: 23

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CentraleSupélec

Publications: 22

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Alejandro Ribeiro

University of Pennsylvania

Publications: 21

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Mark Schmidt

University of British Columbia

Publications: 21

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Ji Liu

Facebook (United States)

Publications: 21

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École Normale Supérieure

Publications: 20

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