World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
49
Citations
7403
World Ranking
1166
National Ranking
523

Engineering and Technology

D-Index
49
Citations
7396
World Ranking
4413
National Ranking
1264

James V. Burke 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 James V. Burke sits on this spectrum.

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: 82 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 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 126 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

James V. Burke 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 James V. Burke sits on this spectrum.

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: 137 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: 49 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1983 - SPIE Fellow

Overview

James V. Burke is affiliated with the University of Washington in the United States. Their research spans multiple fields, with a primary focus on mathematics and computer science. The subfields of their work include statistics and probability, computational mechanics, computational theory and mathematics, numerical analysis, and artificial intelligence.

Burke's research covers several main topics, including:

  • Sparse and Compressive Sensing Techniques
  • Optimization and Variational Analysis
  • Advanced Optimization Algorithms Research
  • Advanced Causal Inference Techniques
  • Mental Health Research Topics
  • Numerical Methods in Inverse Problems
  • Bayesian Methods and Mixture Models

Their recent publications reflect their work's focus on optimization, algorithms, and statistical methods. Notable papers include:

  • "An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics," 2020, Pharmaceutics
  • "Strong Metric (Sub)regularity of Karush-Kuhn-Tucker Mappings for Piecewise Linear-Quadratic Convex-Composite Optimization and the Quadratic Convergence of Newton's Method," 2020, Mathematics of Operations Research
  • "Inexact Sequential Quadratic Optimization with Penalty Parameter Updates within the QP Solver," 2020, SIAM Journal on Optimization
  • "Convergence of the Gradient Sampling Algorithm on Directionally Lipschitz Functions," 2021, Set-Valued and Variational Analysis
  • "A Relaxation Approach to Feature Selection for Linear Mixed Effects Models," 2023, Journal of Computational and Graphical Statistics

Frequent publication venues for Burke include:

  • Mathematics of Operations Research
  • arXiv (Cornell University)
  • Pharmaceutics
  • SIAM Journal on Optimization
  • Journal of Computational and Graphical Statistics

The scientist has collaborated with several researchers, with repeated coauthors such as:

  • Aleksandr Y. Aravkin
  • Aleksei Sholokhov
  • Damian Santomauro
  • Walter M. Yamada
  • Michael Neely

James V. Burke was awarded the distinction of SPIE Fellow in 1983, marking an acknowledgment within the scientific community.

Best Publications

  • A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization

    James V. Burke;Adrian S. Lewis;Michael L. Overton

  • Weak sharp minima in mathematical programming

    J. V. Burke;M. C. Ferris

  • HIFOO - A MATLAB package for fixed-order controller design and H ∞ optimization

    J.V. Burke;D. Henrion;A.S. Lewis;M.L. Overton

  • An exact penalization viewpoint of constrained optimization

    James V. Burke

  • On the identification of active constraints

    James V. Burke;Jorge J. Moré

  • Optical Wavefront Reconstruction: Theory and Numerical Methods

    D. Russell Luke;James V. Burke;Richard G. Lyon

  • On the Lidskii--Vishik--Lyusternik Perturbation Theory for Eigenvalues of Matrices with Arbitrary Jordan Structure

    Julio Moro;James V. Burke;Michael L. Overton

  • Stabilization via Nonsmooth, Nonconvex Optimization

    J.V. Burke;D. Henrion;A.S. Lewis;M.L. Overton

  • Calmness and exact penalization

    J. V. Burke

  • A robust sequential quadratic programming method

    J. V. Burke;S.-P. Han

  • The Global Linear Convergence of a Noninterior Path-Following Algorithm for Linear Complementarity Problems

    James V. Burke;Song Xu

  • A Gauss-Newton method for convex composite optimization

    J. V. Burke;M. C. Ferris

  • Descent methods for composite nondifferentiable optimization problems

    James V. Burke

  • Approximating Subdifferentials by Random Sampling of Gradients

    J. V. Burke;A. S. Lewis;M. L. Overton

  • Weak sharp minima revisited Part I: basic theory

    James V. Burke

  • Characterization of solution sets of convex programs

    J. V. Burke;M. C. Ferris

  • A non–interior predictor–corrector path following algorithm for the monotone linear complementarity problem

    James V. Burke;Song Xu

  • Generalized Kalman smoothing: Modeling and algorithms

    Aleksandr Y. Aravkin;James V. Burke;Lennart Ljung;Aurelie C. Lozano

  • Convergence properties of trust region methods for linear and convex constraints

    J. V. Burke;J. J. Moré;G. Toraldo

  • Two numerical methods for optimizing matrix stability

    James V. Burke;Adrian S. Lewis;Michael L. Overton

  • Weak sharp minima revisited, part II: application to linear regularity and error bounds

    James V. Burke;Sien Deng

Frequent Co-Authors

Gianluigi Pillonetto
Gianluigi Pillonetto University of Padua
Michael L. Overton
Michael L. Overton Courant Institute of Mathematical Sciences
Adrian S. Lewis
Adrian S. Lewis Cornell University
Alessandro Chiuso
Alessandro Chiuso University of Padua
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Paul Tseng
Paul Tseng University of Washington
Jorge J. Moré
Jorge J. Moré Argonne National Laboratory
Jonathan M. Borwein
Jonathan M. Borwein University of Newcastle Australia
Lennart Ljung
Lennart Ljung Linköping University
Yinyu Ye
Yinyu Ye Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, expanding your skill set through related online degrees can open diverse career pathways. One popular option is a masters data analytics program. This degree complements a mathematics background by teaching advanced data interpretation techniques sought after in finance, healthcare, and tech industries.

If you're interested in combining mathematical expertise with business leadership, exploring the easiest MBA programs can provide valuable management skills without an overwhelming admissions process. These programs offer flexibility, which is especially beneficial for working professionals.

Similarly, the easiest MBA program options available online make it feasible to enhance business acumen alongside quantitative expertise. This combination can lead to roles in analytics, strategy, and leadership.

For those aiming for the highest academic credentials, pursuing one of the cheapest DBA online programs offers an accessible path to doctoral study. A Doctorate in Business Administration bridges complex quantitative skills with practical business problem-solving.

Best Scientists Citing James V. Burke

Trending Scientists