World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
44
Citations
9531
World Ranking
1565
National Ranking
676

Computer Science

D-Index
44
Citations
9509
World Ranking
7496
National Ranking
3262

Tamás Terlaky 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 Tamás Terlaky 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: 254 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Tamás Terlaky 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 Tamás Terlaky 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: 44 D-Index — 58th percentile

58% 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

  • 2018 - SIAM Fellow For fundamental and sustained contributions to the theory and practice of optimization, and for exemplary service to the optimization community.
  • 2016 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Tamás Terlaky is affiliated with Lehigh University in the United States. Their research spans several fields with a primary focus on Computer Science and Mathematics.

The scientist's main fields of study include:

  • Computer Science
  • Mathematics

Within these fields, the key subfields addressed are:

  • Artificial Intelligence
  • Numerical Analysis
  • Computational Theory and Mathematics
  • Civil and Structural Engineering
  • Electrical and Electronic Engineering

Tamás Terlaky's research topics cover a range of areas including:

  • Advanced Optimization Algorithms Research
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Advanced Multi-Objective Optimization Algorithms
  • Complexity and Algorithms in Graphs
  • Numerical Methods and Algorithms
  • Topology Optimization in Engineering

The scientist has contributed numerous papers, some notable recent examples include:

  • "An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization" (2023), published in Entropy
  • "Truss topology design and sizing optimization with guaranteed kinematic stability" (2020), published in Structural and Multidisciplinary Optimization
  • "Characterization of QUBO reformulations for the maximum k-colorable subgraph problem" (2022), published in Quantum Information Processing
  • "Discrete multi-load truss sizing optimization: model analysis and computational experiments" (2021), published in Optimization and Engineering
  • "Efficient Use of Quantum Linear System Algorithms in Interior Point Methods for Linear Optimization" (2023), published in Preprints.org

Frequent publication venues for Tamás Terlaky include:

  • arXiv (Cornell University)
  • Optimization and Engineering
  • ACM Transactions on Quantum Computing
  • Mathematical Programming
  • EURO Journal on Computational Optimization

Several frequent co-authors have collaborated extensively with the scientist, among them:

  • Mohammadhossein Mohammadisiahroudi
  • Brandon Augustino
  • Ramin Fakhimi
  • Zeguan Wu
  • Luis F. Zuluaga

Recognition of their work includes several awards such as:

  • SIAM Fellow (2018) for contributions to optimization theory and practice, and service to the optimization community
  • Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) (2016)
  • Membership in The Canadian Academy of Engineering

Best Publications

  • Theory and algorithms for linear optimization : an interior point approach

    C. Roos;T. Terlaky;J.-Ph. Vial

  • On implementing a primal-dual interior-point method for conic quadratic optimization

    Erling D. Andersen;Cornelis Roos;Tamás Terlaky

  • A Survey of the S-Lemma

    Imre Pólik;Tamás Terlaky

  • Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms

    Jiming Peng;Cornelis Roos;Tamás Terlaky

  • Interior Point Methods for Nonlinear Optimization

    Imre Pólik;Tamás Terlaky

  • Interior Point Methods for Linear Optimization

    Cornelis Roos;Tamás Terlaky;J. P Vial

  • Self-regular functions and new search directions for linear and semidefinite optimization

    Jiming Peng;Cornelis Roos;Tamás Terlaky

  • On Copositive Programming and Standard Quadratic Optimization Problems

    Immanuel M. Bomze;Mirjam Dür;Etienne De Klerk;Cornelis Roos

  • On maximization of quadratic form over intersection of ellipsoids with common center

    Arkadi Nemirovski;Cornelis Roos;Tamás Terlaky

  • Pivot rules for linear programming: A survey on recent theoretical developments

    Tamás Terlaky;Shuzhong Zhang

  • Sensitivity analysis in linear programming: just be careful!

    B. Jansen;J.J. de Jong;C. Roos;T. Terlaky

  • A convergent criss-cross method

    T. Terlaky

  • Criss-cross methods: A fresh view on pivot algorithms

    Komei Fukuda;Tamás Terlaky

  • Optimal Nearly Analytic Discrete Approximation to the Scalar Wave Equation

    Dinghui Yang;Jiming Peng;Ming Lu;Tamas Terlaky

  • Initialization in semidefinite programming via a self-dual, skew-symmetric embedding

    E. de Klerk;C. Roos;T. Terlaky

  • On Mehrotra-Type Predictor-Corrector Algorithms

    M. Salahi;J. Peng;T. Terlaky

  • The difference between the managerial and mathematical interpretation of sensitivity analysis results in linear programming

    Tamás Koltai;Tamás Terlaky

  • A NEW AND EFFICIENT LARGE-UPDATE INTERIOR-POINT METHOD FOR LINEAR OPTIMIZATION

    J. Peng;C. Roos;T. Terlaky

  • Pivot versus interior point methods: pros and cons

    Tibor Illés;Tamás Terlaky

  • Copositive realxation for genera quadratic programming

    A.J. Quist;E. De klerk;C. Roos;T. Terlaky

  • Optimization. Algorithms and consistent approximations: Elijah Polak Springer, New York, NY, 1997, ISBN 0-38794971-2, hb., 118 DM, 779 pages

    Tamás Terlaky

Frequent Co-Authors

Cornelis Roos
Cornelis Roos Delft University of Technology
Dick den Hertog
Dick den Hertog University of Amsterdam
Gerhard-Wilhelm Weber
Gerhard-Wilhelm Weber Poznań University of Technology
Shuzhong Zhang
Shuzhong Zhang University of Minnesota
Jean-Philippe Vial
Jean-Philippe Vial University of Geneva
Timothy J. Craig
Timothy J. Craig Pennsylvania State University
Immanuel M. Bomze
Immanuel M. Bomze University of Vienna
Peter A. Forsyth
Peter A. Forsyth University of Waterloo
Yinyu Ye
Yinyu Ye Stanford University
Jacek Gondzio
Jacek Gondzio University of Edinburgh

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