World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
32
Citations
5960
World Ranking
3138
National Ranking
1257

Jeff Linderoth 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 Jeff Linderoth 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: 99 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Jeff Linderoth 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 Jeff Linderoth 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: 32 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Jeff Linderoth is affiliated with the University of Wisconsin-Madison in the United States. Their research focuses primarily on fields related to Engineering and Computer Science, with significant contributions to Industrial and Manufacturing Engineering, Control and Systems Engineering, Computational Theory and Mathematics, Numerical Analysis, and Management Science and Operations Research.

Their work covers a range of topics including:

  • Optimization and Packing Problems
  • Advanced Optimization Algorithms Research
  • Advanced Control Systems Optimization
  • Formal Methods in Verification
  • Manufacturing Process and Optimization
  • Optimization and Search Problems
  • Advanced Manufacturing and Logistics Optimization

Linderoth has published extensively in several academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • INFORMS Journal on Optimization
  • Mathematical Programming Computation
  • Optimization and Engineering
  • SIAM Journal on Optimization

Some of the recent papers published by Jeff Linderoth are:

  • "MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library," 2021, Mathematical Programming Computation
  • "The hierarchical organization of autocatalytic reaction networks and its relevance to the origin of life," 2022, PLoS Computational Biology
  • "Minotaur: a mixed-integer nonlinear optimization toolkit," 2020, Mathematical Programming Computation
  • "Optimization-based dispatching policies for open-pit mining," 2021, Optimization and Engineering
  • "Strong Convex Nonlinear Relaxations of the Pooling Problem," 2020, SIAM Journal on Optimization

Linderoth frequently collaborates with a set of coauthors, including:

  • Alberto Del Pia
  • James Luedtke
  • Haoran Zhu
  • Akhilesh Soni

Their interdisciplinary expertise and collaborative work span multiple areas of optimization and applied mathematics, contributing to both theoretical advancements and practical applications in engineering and computational optimization.

Best Publications

  • Mixed-integer nonlinear optimization

    Pietro Belotti;Christian Kirches;Sven Leyffer;Jeff T. Linderoth

  • A Computational Study of Search Strategies for Mixed Integer Programming

    J. T. Linderoth;M. W. P. Savelsbergh

  • The empirical behavior of sampling methods for stochastic programming

    Jeff T. Linderoth;Alexander Shapiro;Stephen J. Wright

  • An enabling framework for master-worker applications on the Computational Grid

    J.-P. Goux;S. Kulkarni;J. Linderoth;M. Yoder

  • Algorithms and Software for Convex Mixed Integer Nonlinear Programs

    Pierre Bonami;Mustafa Kilinç;Jeff Linderoth

  • Solving large quadratic assignment problems on computational grids

    Kurt Anstreicher;Nathan Brixius;Jean-Pierre Goux;Jeff Linderoth

  • Decomposition Algorithms for Stochastic Programming on a Computational Grid

    Jeff Linderoth;Stephen Wright

  • Perspective reformulations of mixed integer nonlinear programs with indicator variables

    Oktay Günlük;Jeff Linderoth

  • Orbital Branching

    James Ostrowski;Jeff Linderoth;Fabrizio Rossi;Stefano Smriglio

  • A simplicial branch-and-bound algorithm for solving quadratically constrained quadratic programs

    Jeff Linderoth

  • FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs

    Kumar Abhishek;Sven Leyffer;Jeff Linderoth

  • MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library

    Ambros M. Gleixner;Gregor Hendel;Gerald Gamrath;Tobias Achterberg

  • Orbital branching

    James Ostrowski;Jeff Linderoth;Fabrizio Rossi;Stefano Smriglio

  • Noncommercial Software for Mixed-Integer Linear Programming

    Jeffrey T. Linderoth;Ted K. Ralphs

  • Reformulation and sampling to solve a stochastic network interdiction problem

    Udom Janjarassuk;Jeff Linderoth

  • FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs

    Kumar Abhishek;Sven Leyffer;Jeffrey T. Linderoth

  • Perspective Reformulation and Applications

    Oktay Günlük;Jeff Linderoth

  • Some results on the strength of relaxations of multilinear functions

    James R. Luedtke;Mahdi Namazifar;Jeff T. Linderoth

  • The Mathematical Foundations of Epistemic Network Analysis.

    Dale Bowman;Zachari Swiecki;Zhiqiang Cai;Yeyu Wang

  • Master–Worker: An Enabling Framework for Applications on the Computational Grid

    Jean-Pierre Goux;Sanjeev Kulkarni;Michael Yoder;Jeff Linderoth

  • GRIP: scalable 3D global routing using integer programming

    Tai-Hsuan Wu;Azadeh Davoodi;Jeffrey T. Linderoth

  • Perspective relaxation of mixed integer nonlinear programs with indicator variables

    Oktay Günlük;Jeff Linderoth

  • MILP Software

    Unknown

  • Functional description of MINTO, a Mixed INTeger Optimizer Version 3.1

    George L. Nemhauser;Jeff T. Linderoth

Frequent Co-Authors

Sven Leyffer
Sven Leyffer Argonne National Laboratory
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
James Ostrowski
James Ostrowski Blue River Technology
Martin W. P. Savelsbergh
Martin W. P. Savelsbergh Georgia Institute of Technology
David Williamson Shaffer
David Williamson Shaffer University of Wisconsin–Madison
Santanu S. Dey
Santanu S. Dey Georgia Institute of Technology
Natashia Boland
Natashia Boland Georgia Institute of Technology
Russell Bent
Russell Bent Los Alamos National Laboratory
Ben Liblit
Ben Liblit University of Wisconsin–Madison
Ian A. Hiskens
Ian A. Hiskens University of Michigan–Ann Arbor

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