World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Computer Science

D-Index
80
Citations
32203
World Ranking
1064
National Ranking
570

Mathematics

D-Index
83
Citations
38767
World Ranking
119
National Ranking
68

Jong-Shi Pang 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 Jong-Shi Pang 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: 299 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Jong-Shi Pang 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 Jong-Shi Pang 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: 83 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2019 - INFORMS John von Neumann Theory Prize
  • 2009 - SIAM Fellow For advances in variational inequalities and complementarity problems in optimization.
  • 2003 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)

Overview

Jong-Shi Pang is affiliated with the University of Southern California in the United States. Their research spans several main fields of study, including Mathematics, Computer Science, and Engineering, with notable focus areas in computational theory, statistics, numerical analysis, operations research, and control systems engineering.

Their work advances topics such as optimization and variational analysis, advanced optimization algorithms, optimization and mathematical programming, risk and portfolio optimization, sparse and compressive sensing techniques, statistical methods and inference, and fuzzy systems and optimization.

Frequent coauthors collaborating with Jong-Shi Pang include Ying Cui, Shaoning Han, Junyi Liu, Ziyu He, and Zhengling Qi.

Notable recent publications by Jong-Shi Pang include:

  • MultiComposite Nonconvex Optimization for Training Deep Neural Networks, 2020, SIAM Journal on Optimization
  • A Study of Piecewise Linear-Quadratic Programs, 2020, Journal of Optimization Theory and Applications
  • Exact Penalization of Generalized Nash Equilibrium Problems, 2020, Operations Research
  • Two-Stage Stochastic Programming with Linearly Bi-parameterized Quadratic Recourse, 2020, SIAM Journal on Optimization
  • On Robustness of Individualized Decision Rules, 2022, Journal of the American Statistical Association

Jong-Shi Pang has frequently published in venues such as arXiv (Cornell University), SIAM Journal on Optimization, Mathematical Programming, Mathematics of Operations Research, and Operations Research.

In addition to journal articles, Jong-Shi Pang has authored book publications, including Modern Nonconvex Nondifferentiable Optimization published by the Society for Industrial and Applied Mathematics in 2021.

Throughout their career, Jong-Shi Pang has been recognized with awards such as the INFORMS John von Neumann Theory Prize in 2019, the SIAM Fellow designation in 2009 for advances in variational inequalities and complementarity problems in optimization, and the Dantzig Prize awarded by SIAM and the Mathematical Optimization Society in 2003.

Best Publications

  • Finite-Dimensional Variational Inequalities and Complementarity Problems

    Francisco Facchinei;Jong-Shi Pang

  • The Linear Complementarity Problem

    Richard W. Cottle;Jong-Shi Pang;Richard E. Stone

  • Finite-dimensional variational inequality and nonlinear complementarity problems: a survey of theory, algorithms and applications

    P. T. Harker;J.-S. Pang

  • Mathematical Programs with Equilibrium Constraints

    Zhi-Quan Luo;Jong-Shi Pang;Daniel Ralph

  • Engineering and Economic Applications of Complementarity Problems

    M. C. Ferris;J. S. Pang

  • Strategic gaming analysis for electric power systems: an MPEC approach

    B.F. Hobbs;C.B. Metzler;J.-S. Pang

  • Oligopolistic competition in power networks: a conjectured supply function approach

    C.J. Day;B.F. Hobbs;Jong-Shi Pang

  • Error bounds in mathematical programming

    Jong-Shi Pang

  • Differential variational inequalities

    Jong-Shi Pang;David E. Stewart

  • Newton's method for B -differentiable equations

    J. S. Pang

  • Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games

    Jong-Shi Pang;Masao Fukushima

  • Nonsmooth Equations: Motivation and Algorithms

    Jong-Shi Pang;Liqun Qi

  • A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

    Mingyi Hong;Meisam Razaviyayn;Zhi-Quan Luo;Jong-Shi Pang

  • Iterative methods for variational and complementarity problems

    J. S. Pang;D. Chan

  • Convex Optimization, Game Theory, and Variational Inequality Theory

    Gesualdo Scutari;Daniel Palomar;Francisco Facchinei;Jong-shi Pang

  • The Generalized Quasi-Variational Inequality Problem

    D. Chan;J. S. Pang

  • On Dynamic Multi‐Rigid‐Body Contact Problems with Coulomb Friction

    Unknown

  • Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems

    Gesualdo Scutari;Francisco Facchinei;Peiran Song;Daniel P. Palomar

  • Formulation and comparison of algorithms for frictional contact problems

    P. W. Christensen;Anders Klarbring;Jong Shi Pang;Niclas Strömberg

  • NE/SQP: A robust algorithm for the nonlinear complementarity problem

    Jong-Shi Pang;Steven A. Gabriel

  • Complementarity formulations and existence of solutions of dynamic multi-rigid-body contact problems with Coulomb friction

    Jong-Shi Pang;Jong-Shi Pang;Jeffrey C. Trinkle;Jeffrey C. Trinkle

  • Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games

    Unknown

Frequent Co-Authors

Francisco Facchinei
Francisco Facchinei Sapienza University of Rome
Gesualdo Scutari
Gesualdo Scutari Purdue University West Lafayette
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
John E. Mitchell
John E. Mitchell Rensselaer Polytechnic Institute
Benjamin F. Hobbs
Benjamin F. Hobbs Johns Hopkins University
Meisam Razaviyayn
Meisam Razaviyayn University of Southern California
Daniel P. Palomar
Daniel P. Palomar Hong Kong University of Science and Technology
Mingyi Hong
Mingyi Hong University of Minnesota
Henry X. Liu
Henry X. Liu University of Michigan–Ann Arbor
Masao Fukushima
Masao Fukushima Kyoto University

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