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Mark Schmidt

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 47 4753 4574 194 184 107 11628

Mark Schmidt publications per year

The chart shows the history of publications by Mark Schmidt between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark Schmidt published across 21 years, from 2005 to 2025, averaging 5.6 papers a year. Output peaked at 13 publications in 2019. 9 of the 117 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2019. 2005: 4 publications 2006: 5 publications 2007: 3 publications 2008: 3 publications 2009: 4 publications 2010: 4 publications 2011: 5 publications 2012: 7 publications 2013: 4 publications 2014: 3 publications 2015: 5 publications 2016: 6 publications 2017: 8 publications 2018: 6 publications 2019: 13 publications 2020: 8 publications 2021: 10 publications 2022: 2 publications 2023: 8 publications 2024: 6 publications 2025: 3 publications
2005 2025

117 publications in total across all disciplines

View publications per year as a table
Mark Schmidt: publications per year, 2005 to 2025
Year Publications
2005 4
2006 5
2007 3
2008 3
2009 4
2010 4
2011 5
2012 7
2013 4
2014 3
2015 5
2016 6
2017 8
2018 6
2019 13
2020 8
2021 10
2022 2
2023 8
2024 6
2025 3
Total 117
Download as CSV

Mark Schmidt 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 Mark Schmidt sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 98–107 publications, is where this scientist sits. 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
38–47 publications 804+

This scientist: 107 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283 107
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Mark Schmidt 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 Mark Schmidt sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 47 D-Index, is where this scientist sits. 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306 47
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Mark Schmidt is affiliated with the University of British Columbia in Canada. Their research contributions are primarily within the field of Computer Science, focusing on several key subfields and topics.

The main subfields of study represented in their work include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Computational Mechanics
  • Management Science and Operations Research

Within these subfields, Schmidt has explored topics such as:

  • Stochastic Gradient Optimization Techniques
  • Machine Learning and Algorithms
  • Sparse and Compressive Sensing Techniques
  • Bayesian Methods and Mixture Models
  • Advanced Bandit Algorithms Research
  • Gaussian Processes and Bayesian Inference
  • Statistical Methods and Inference

The publication record includes a strong presence in the venue arXiv (Cornell University) with 24 publications, alongside contributions to other venues such as Goldschmidt2021 abstracts, Open Collections, Machine Learning, and the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

Their recent papers consist of:

  • "Where are the Masks: Instance Segmentation with Image-level Supervision," 2024, arXiv (Cornell University)
  • "Kinetics of olivine weathering in seawater: an experimental study," 2021, Goldschmidt2021 abstracts
  • "SVRG meets AdaGrad: painless variance reduction," 2022, Machine Learning
  • "Regret bounds without Lipschitz continuity: online learning with relative-Lipschitz losses," 2020, Open Collections
  • "Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses," 2020, arXiv (Cornell University)

Frequent collaborators of Mark Schmidt include:

  • Frederik Künstner (6 joint works)
  • Sharan Vaswani (5 joint works)
  • Christos Thrampoulidis (4 joint works)
  • Jonathan Wilder Lavington (4 joint works)
  • Yihan Zhou (3 joint works)

Best Publications

  • Minimizing finite sums with the stochastic average gradient

    Mark Schmidt;Nicolas Le Roux;Francis Bach

  • Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

    Hamed Karimi;Julie Nutini;Mark Schmidt

  • A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets

    Nicolas L. Roux;Mark Schmidt;Francis R. Bach

  • Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

    Mark Schmidt;Nicolas L. Roux;Francis R. Bach

  • Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches

    Mark Schmidt;Glenn Fung;Rómer Rosales

  • Hybrid Deterministic-Stochastic Methods for Data Fitting

    Michael P. Friedlander;Mark W. Schmidt

  • Accelerated training of conditional random fields with stochastic gradient methods

    S. V. N. Vishwanathan;Nicol N. Schraudolph;Mark W. Schmidt;Kevin P. Murphy

  • Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

    Simon Lacoste-Julien;Martin Jaggi;Mark Schmidt;Patrick Pletscher

  • Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics

    Volkan Cevher;Stephen Becker;Mark W. Schmidt

  • Fast Patch-based Style Transfer of Arbitrary Style

    Tian Qi Chen;Mark Schmidt

  • Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm

    Mark W. Schmidt;Ewout van den Berg;Michael P. Friedlander;Kevin P. Murphy

  • Learning graphical model structure using L1-regularization paths

    Mark Schmidt;Alexandru Niculescu-Mizil;Kevin Murphy

  • A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method

    Simon Lacoste-Julien;Mark W. Schmidt;Francis R. Bach

  • Modeling annotator expertise: Learning when everybody knows a bit of something

    Yan Yan;Rómer Rosales;Glenn Fung;Mark W. Schmidt

  • A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets

    Nicolas Le Roux;Mark Schmidt;Francis Bach

  • Where Are the Blobs: Counting by Localization with Point Supervision

    Issam H. Laradji;Negar Rostamzadeh;Pedro O. Pinheiro;David Vazquez

  • Segmenting brain tumors with conditional random fields and support vector machines

    Chi-Hoon Lee;Mark Schmidt;Albert Murtha;Aalo Bistritz

  • Method and System for Automatic Detection and Segmentation of Tumors and Associated Edema (Swelling) in Magnetic Resonance (Mri) Images

    Mark Schmidt;Russell Greiner;Albert Douglas Murtha

  • Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection

    Julie Nutini;Mark Schmidt;Issam Laradji;Michael Friedlander

  • Convex Optimization for Big Data

    Volkan Cevher;Stephen Becker;Mark Schmidt

  • Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron

    Sharan Vaswani;Francis R. Bach;Mark Schmidt

Frequent Co-Authors

Francis Bach
Francis Bach École Normale Supérieure
Simon Lacoste-Julien
Simon Lacoste-Julien University of Montreal
Russell Greiner
Russell Greiner University of Alberta
James J. Little
James J. Little University of British Columbia
Branislav Kveton
Branislav Kveton Adobe Systems (United States)
Anne Condon
Anne Condon University of British Columbia
Glenn Fung
Glenn Fung American Family Insurance
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Masashi Sugiyama
Masashi Sugiyama RIKEN
Frank Wood
Frank Wood University of British Columbia

External Links

Personal website of Mark Schmidt Google Scholar page

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