World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
33464
World Ranking
1635
National Ranking
702

Robert D. Skeel 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 Robert D. Skeel 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: 115 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Robert D. Skeel 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 Robert D. Skeel 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: 43 D-Index — 54th percentile

54% 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

  • 2011 - SIAM Fellow For contributions to computational molecular biophysics and to numerical ordinary differential equations and linear algebra.

Overview

Robert D. Skeel is affiliated with Purdue University West Lafayette in the United States. Their research spans several fields within computer science, with particular emphasis on molecular biology and physics, as well as numerical methods and applied mathematics.

The primary fields of study associated with Skeel include:

  • Computer Science

Subfields of research focus encompass:

  • Molecular Biology
  • Atomic and Molecular Physics, and Optics
  • Statistics and Probability
  • Computational Theory and Mathematics
  • Materials Chemistry

Key topics explored in their work are:

  • Protein Structure and Dynamics
  • Machine Learning in Materials Science
  • Spectroscopy and Quantum Chemical Studies
  • Markov Chains and Monte Carlo Methods
  • Mathematics, Computing, and Information Processing
  • Advanced NMR Techniques and Applications
  • Nanopore and Nanochannel Transport Studies

Selected recent publications by Skeel include:

  • "Scalable molecular dynamics on CPU and GPU architectures with NAMD," 2020, The Journal of Chemical Physics
  • "Effective new methods for automated parameter selection in regularized inverse problems," 2020, Applied Numerical Mathematics
  • "Data-guided Multi-Map variables for ensemble refinement of molecular movies," 2020, The Journal of Chemical Physics
  • "Quasi-reliable estimates of effective sample size," 2020, IMA Journal of Numerical Analysis
  • "Multilevel summation for periodic electrostatics using B-splines," 2021, The Journal of Chemical Physics

Skeel has collaborated frequently with several coauthors including:

  • Giacomo Fiorin
  • Abhishek Singharoy
  • David J. Hardy
  • John Vant
  • Daipayan Sarkar

Their work has been published primarily in venues such as:

  • The Journal of Chemical Physics
  • arXiv (Cornell University)
  • Applied Numerical Mathematics
  • IMA Journal of Numerical Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)

In 2011, Robert D. Skeel was named a SIAM Fellow, recognized for contributions to computational molecular biophysics and to numerical ordinary differential equations and linear algebra.

Best Publications

  • Scalable molecular dynamics with NAMD

    James C. Phillips;Rosemary Braun;Wei Wang;James C. Gumbart

  • NAMD2: Greater Scalability for Parallel Molecular Dynamics

    Laxmikant Kalé;Robert Skeel;Milind Bhandarkar;Robert Brunner

  • Scalable molecular dynamics on CPU and GPU architectures with NAMD.

    James C. Phillips;David J. Hardy;Julio D.C. Maia;John E. Stone

  • Langevin stabilization of molecular dynamics

    Jesús A. Izaguirre;Daniel P. Catarello;Justin M. Wozniak;Robert D. Skeel

  • A Method for the Spatial Discretization of Parabolic Equations in One Space Variable.

    Robert D. Skeel;Martin Berzins

  • Symplectic Numerical Integrators in Constrained Hamiltonian Systems

    Benedict J. Leimkuhler;Robert D. Skeel

  • Long-Time-Step Methods for Oscillatory Differential Equations

    B. García-Archilla;J. M. Sanz-Serna;R. D. Skeel

  • Computational Molecular Dynamics: Challenges, Methods, Ideas

    Peter Deuflhard;Jan Hermans;Benedict Leimkuhler;Alan E. Mark

  • Algorithmic Challenges in Computational Molecular Biophysics

    Tamar Schlick;Robert D Skeel;Axel T Brunger;Laxmikant V Kalé

  • Scaling for Numerical Stability in Gaussian Elimination

    Robert D. Skeel

  • Bayesian Sampling Using Stochastic Gradient Thermostats

    Nan Ding;Youhan Fang;Ryan Babbush;Changyou Chen

  • ALGORITHMS FOR CONSTRAINED MOLECULAR DYNAMICS

    Eric Barth;Krzysztof Kuczera;Benedict J. Leimkuhler;Robert D. Skeel

  • A Family of Symplectic Integrators: Stability, Accuracy, and Molecular Dynamics Applications

    Robert D. Skeel;Guihua Zhang;Tamar Schlick

  • Integration Methods for Molecular Dynamics

    Benedict J. Leimkuhler;Sebastian Reich;Robert D. Skeel

  • Dangers of multiple time step methods

    Jeffrey J. Biesiadecki;Robert D. Skeel

  • Multiple grid methods for classical molecular dynamics.

    Robert D. Skeel;Ismail Tezcan;David J. Hardy

  • Iterative refinement implies numerical stability for Gaussian elimination

    Robert D. Skeel

  • An impulse integrator for Langevin dynamics

    Robert D. Skeel;Jesüs A. Izaguirre

  • Nonlinear Resonance Artifacts in Molecular Dynamics Simulations

    Tamar Schlick;Margaret Mandziuk;Robert D. Skeel;K. Srinivas

  • Difficulties with multiple time stepping and fast multipole algorithm in molecular dynamics

    Thomas C. Bishop;Robert D. Skeel;Klaus J Schulten

Frequent Co-Authors

Klaus Schulten
Klaus Schulten University of Illinois at Urbana-Champaign
Laxmikant V. Kale
Laxmikant V. Kale University of Illinois at Urbana-Champaign
Benedict Leimkuhler
Benedict Leimkuhler University of Edinburgh
Jesús María Sanz-Serna
Jesús María Sanz-Serna Carlos III University of Madrid
Tamar Schlick
Tamar Schlick New York University
Attila Gursoy
Attila Gursoy Koç University
Sebastian Reich
Sebastian Reich University of Potsdam
Jan Hermans
Jan Hermans University of North Carolina at Chapel Hill
Charles William Gear
Charles William Gear Princeton University
Alan E. Mark
Alan E. Mark University of Queensland

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, exploring related online degrees can open diverse career opportunities. Programs like the best 1 year dba program online offer a focused, accelerated path for those interested in advanced data analysis and business applications of math.

Finance is another field closely tied to mathematical expertise. Many choose the cheapest masters in finance to build skills in quantitative finance, risk management, and investment strategies, all benefiting from a strong mathematical foundation.

If leadership and business acumen appeal alongside mathematics, the fastest online mba programs allow ambitious professionals to quickly gain managerial capabilities while leveraging their analytical expertise.

Marketing also values mathematicians, especially in analytics and consumer data interpretation. Pursuing a master's degree in marketing can enhance career prospects in this dynamic, data-driven industry.

Best Scientists Citing Robert D. Skeel

Trending Scientists

Recently Published Articles