World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 40 2009 1762 850 698 102 8994
Engineering and Technology 40 7187 6935 1959 1815 104 8997

Katya Scheinberg publications per year

The chart shows the history of publications by Katya Scheinberg between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Katya Scheinberg published across 30 years, from 1996 to 2025, averaging 4 papers a year. Output peaked at 19 publications in 2009. 8 of the 120 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2009. 1996: 1 publication 1997: 2 publications 1998: 2 publications 1999: 2 publications 2000: 1 publication 2001: 1 publication 2002: 1 publication 2003: 2 publications 2004: 1 publication 2005: 1 publication 2006: 3 publications 2007: 3 publications 2008: 3 publications 2009: 19 publications 2010: 6 publications 2011: 0 publications 2012: 3 publications 2013: 5 publications 2014: 2 publications 2015: 6 publications 2016: 6 publications 2017: 10 publications 2018: 8 publications 2019: 7 publications 2020: 4 publications 2021: 5 publications 2022: 5 publications 2023: 3 publications 2024: 4 publications 2025: 4 publications
1996 2025

120 publications in total across all disciplines

View publications per year as a table
Katya Scheinberg: publications per year, 1996 to 2025
Year Publications
1996 1
1997 2
1998 2
1999 2
2000 1
2001 1
2002 1
2003 2
2004 1
2005 1
2006 3
2007 3
2008 3
2009 19
2010 6
2011 0
2012 3
2013 5
2014 2
2015 6
2016 6
2017 10
2018 8
2019 7
2020 4
2021 5
2022 5
2023 3
2024 4
2025 4
Total 120
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Katya Scheinberg publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Katya Scheinberg sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 102–106 publications, is where this scientist sits. 42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 102 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83 102
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
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Katya Scheinberg D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Katya Scheinberg sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138 40
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
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Overview

Katya Scheinberg is affiliated with Cornell University in the United States and has contributed extensively to research in computer science and engineering. Their work mainly focuses on areas such as artificial intelligence, computational mechanics, management science and operations research, statistics and probability, and numerical analysis.

Key research topics explored in their publications include:

  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Advanced Bandit Algorithms Research
  • Advanced Optimization Algorithms Research
  • Markov Chains and Monte Carlo Methods
  • Neural Networks and Applications
  • Machine Learning and Algorithms

Katya Scheinberg has co-authored papers with several frequent collaborators, such as:

  • Lam M. Nguyen
  • Miaolan Xie
  • Albert S. Berahas
  • Liyuan Cao
  • Billy Jin

The scientist's research has appeared in multiple journal and conference venues, including:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • Mathematical Programming
  • Journal of Global Optimization
  • Foundations of Computational Mathematics

Notable recent publications by Katya Scheinberg include:

  • A Stochastic Line Search Method with Expected Complexity Analysis, 2020, SIAM Journal on Optimization
  • Optimal decision trees for categorical data via integer programming, 2021, Journal of Global Optimization
  • A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization, 2021, Foundations of Computational Mathematics
  • Feature engineering and forecasting via derivative-free optimization and ensemble of sequence-to-sequence networks with applications in renewable energy, 2020, Energy
  • Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms, 2020, IEEE Signal Processing Magazine

Best Publications

  • Introduction to derivative-free optimization

    Andrew R. Conn;Katya Scheinberg;Luis N. Vicente

  • Efficient svm training using low-rank kernel representations

    Shai Fine;Katya Scheinberg

  • SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient

    Lam M. Nguyen;Jie Liu;Katya Scheinberg;Martin Takáč

  • Recent progress in unconstrained nonlinear optimization without derivatives

    A. R. Conn;K. Scheinberg;Ph. L. Toint

  • Fast alternating linearization methods for minimizing the sum of two convex functions

    Donald Goldfarb;Shiqian Ma;Katya Scheinberg

  • Global Convergence of General Derivative-Free Trust-Region Algorithms to First- and Second-Order Critical Points

    Andrew R. Conn;Katya Scheinberg;Luís N. Vicente

  • On the convergence of derivative-free methods for unconstrained optimization

    Andy Conn;Katya Scheinberg;Philippe Toint

  • Efficient block-coordinate descent algorithms for the Group Lasso

    Zhiwei Qin;Katya Scheinberg;Donald Goldfarb

  • Sparse Inverse Covariance Selection via Alternating Linearization Methods

    Katya Scheinberg;Shiqian Ma;Donald Goldfarb

  • Geometry of interpolation sets in derivative free optimization

    A. R. Conn;K. Scheinberg;Luís N. Vicente

  • Stochastic optimization using a trust-region method and random models

    Ruobing Chen;Matt Menickelly;Katya Scheinberg

  • A derivative free optimization algorithm in practice

    A. Conn;K. Scheinberg;Ph. Toint

  • IBM Research TRECVID-2006 Video Retrieval System

    Murray Campbell;Alexander Haubold;Shahram Ebadollahi;Dhiraj Joshi

  • Global convergence rate analysis of unconstrained optimization methods based on probabilistic models

    Coralia Cartis;Katya Scheinberg

  • SGD and Hogwild! Convergence Without the Bounded Gradients Assumption

    Lam M. Nguyen;Phuong Ha Nguyen;Marten van Dijk;Peter Richtárik

  • Convergence of Trust-Region Methods Based on Probabilistic Models

    Afonso S. Bandeira;Katya Scheinberg;Luís Nunes Vicente

  • A Derivative-Free Algorithm for Least-Squares Minimization

    Hongchao Zhang;Andrew R. Conn;Katya Scheinberg

  • A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization

    Albert S. Berahas;Liyuan Cao;Krzysztof Choromanski;Katya Scheinberg

  • Interior Point Trajectories in Semidefinite Programming

    D. Goldfarb;K. Scheinberg

  • Least-squares approach to risk parity in portfolio selection

    Xi Bai;Katya Scheinberg;Reha Tutuncu

  • Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation

    Andrew R. Conn;Katya Scheinberg;Luís Nunes Vicente

Frequent Co-Authors

Luís Nunes Vicente
Luís Nunes Vicente Lehigh University
Donald Goldfarb
Donald Goldfarb Columbia University
Irina Rish
Irina Rish University of Montreal
Marten van Dijk
Marten van Dijk University of Connecticut
Shiqian Ma
Shiqian Ma Rice University
Peter Richtárik
Peter Richtárik King Abdullah University of Science and Technology
Jayant R. Kalagnanam
Jayant R. Kalagnanam IBM (United States)
Bhuvana Ramabhadran
Bhuvana Ramabhadran Google (United States)
Dimitri Kanevsky
Dimitri Kanevsky Google (United States)

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