World's Best Scientists 2026 revealed!
Thomas F. Coleman

Thomas F. Coleman

D-Index & Metrics

Mathematics

D-Index
42
Citations
17045
World Ranking
1744
National Ranking
62

Engineering and Technology

D-Index
40
Citations
16737
World Ranking
7146
National Ranking
290

Thomas F. Coleman 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 Thomas F. Coleman 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: 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 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: 134 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Thomas F. Coleman 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 Thomas F. Coleman 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: 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: 42 D-Index — 51st percentile

51% 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

  • 2016 - SIAM Fellow For contributions to large-scale, sparse numerical optimization, financial optimization, and leadership in mathematics education and engagement with industry.

Overview

Thomas F. Coleman is affiliated with the University of Waterloo in Canada. Their research spans multiple interconnected domains, focusing on both theoretical and applied aspects of economics, finance, and environmental policy.

The scientist has contributed to several academic publications, with recent works including:

  • Learning sequential option hedging models from market data, 2021, Journal of Banking & Finance
  • Optimal Pricing of Climate Risk, 2021, Computational Economics
  • Validity of the Yellow Flag Risk Form in People Treated for Low Back Pain with Mechanical Diagnosis and Therapy and the Pain Mechanism Classification System, 2023, International Journal of Musculoskeletal Disorders
  • The efficient application of automatic differentiation for computing gradients in financial applications, 2020, UNC Libraries
  • Discrete Copula and Yule's Rho: Application to Measuring Individual Exchange Mobility and Assortative Matching, 2025, SSRN Electronic Journal

Their frequent co-authors include Ke Nian, Yuying Li, Nicole Sandra-Yaffa Dumont, Wanqi Li, and Wenbin Liu.

Thomas F. Coleman's research has been published in venues such as the SSRN Electronic Journal, Journal of Banking & Finance, Computational Economics, International Journal of Musculoskeletal Disorders, and UNC Libraries.

Their fields of study cover Economics and Econometrics, Pharmacology, Finance, Management Science and Operations Research, and Renewable Energy, Sustainability and the Environment.

Main topics addressed in their work encompass:

  • Market Dynamics and Volatility
  • Stochastic processes and financial applications
  • Stock Market Forecasting Methods
  • Climate Change Policy and Economics
  • Energy, Environment, and Transportation Policies
  • Atmospheric and Environmental Gas Dynamics
  • Healthcare and Venom Research

In 2016, Thomas F. Coleman received recognition as a SIAM Fellow for contributions to large-scale, sparse numerical optimization, financial optimization, and leadership in mathematics education and engagement with industry.

Best Publications

  • An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds

    Thomas F. Coleman;Yuying Li

  • On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds

    Thomas F. Coleman;Yuying Li

  • A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems

    Mary Ann Branch;Thomas F. Coleman;Yuying Li

  • Optimization Toolbox User's Guide

    Thomas Coleman;Mary Ann Branch;Andrew Grace

  • Optimization toolbox : for use with MATLAB

    Thomas Frederick Coleman;Mary Ann Branch;Andrew Grace

  • On the Convergence of Reflective Newton Methods for Large-scale Nonlinear Minimization Subject to Bounds

    Thomas F. Coleman;Yuying Li

  • A Reflective Newton Method for Minimizing a Quadratic Function Subject to Bounds on some of the Variables

    Thomas F. Coleman;Yuying Li

  • Estimation of Sparse Jacobian Matrices and Graph Coloring Blems

    Thomas F. Coleman;Jorge J. Moré

  • Minimizing CVaR and VaR for a portfolio of derivatives

    siddharth alexander;thomas f. coleman;Yuying Li

  • Estimation of Sparse Hessian Matrices and Graph Coloring Problems

    Thomas F. Coleman;Jorge J. More

  • Nonlinear programming via an exact penalty function: Asymptotic analysis

    Thomas F. Coleman;Andrew R. Conn

  • The null space problem I. complexity

    Thomas F Coleman;Alex Pothen

  • On the Local Convergence of a Quasi-Newton Method for the Nonlinear Programming Problem

    Thomas F. Coleman;Andrew R. Conn

  • Software for estimating sparse Jacobian matrices

    Thomas F. Coleman;Burton S. Garbow;Jorge J. More

  • RECONSTRUCTING THE UNKNOWN LOCAL VOLATILITY FUNCTION

    Thomas F. Coleman;Yuying Li;Arun Verma

  • The null space problem II. Algorithms

    Thomas F. Coleman;Alex Pothen

  • A parallel triangular solver for distributed-memory multiprocessor

    Guangye Li;Thomas F. Coleman

  • Large-Scale Numerical Optimization

    Thomas F. Coleman;Yuying Li

  • A New Method for Solving Triangular Systems on Distributed Memory Message-Passing Multiprocessors

    Guangye Li;Thomas F. Coleman

  • Auto insurance fraud detection using unsupervised spectral ranking for anomaly

    Ke Nian;Haofan Zhang;Aditya Tayal;Thomas Coleman

  • Hedging guarantees in variable annuities under both equity and interest rate risks

    Thomas F. Coleman;Yuying Li;Maria-Cristina Patron

Frequent Co-Authors

Jorge J. Moré
Jorge J. Moré Argonne National Laboratory
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Alex Pothen
Alex Pothen Purdue University West Lafayette
David Shalloway
David Shalloway Cornell University
Peter A. Forsyth
Peter A. Forsyth University of Waterloo
Panos M. Pardalos
Panos M. Pardalos University of Florida
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Michael Holst
Michael Holst University of California, San Diego
Danny C. Sorensen
Danny C. Sorensen Rice University
Robert A. Jarrow
Robert A. Jarrow Cornell 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

Pursuing a degree in Mathematics in the USA opens doors to a variety of related fields, particularly those focused on data and business analytics. For students interested in leveraging their math skills in real-world applications, a data analytics masters offers advanced knowledge in interpreting complex datasets, an increasingly valuable asset across industries.

For those leaning towards management and leadership, business degrees like an MBA can complement mathematical expertise. Exploring options like the easiest mba programs can provide a straightforward path to acquiring essential managerial skills without overwhelming academic challenges.

Additionally, pursuing an easiest online mba program allows flexibility for working professionals or those balancing multiple commitments, seamlessly integrating into various career paths that value analytical and strategic decision-making.

For experienced professionals aiming for the highest levels of business expertise, dba programs online are a cost-effective way to achieve a Doctorate in Business Administration. This pathway blends rigorous research with practical application, ideal for leadership roles requiring an advanced understanding of business challenges.

Best Scientists Citing Thomas F. Coleman

Trending Scientists