World's Best Scientists 2026 revealed!
Thomas L. Magnanti

Thomas L. Magnanti

D-Index & Metrics

Mathematics

D-Index
43
Citations
24629
World Ranking
1638
National Ranking
703

Engineering and Technology

D-Index
44
Citations
41445
World Ranking
5659
National Ranking
1572

Thomas L. Magnanti 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 L. Magnanti 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: 116 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Thomas L. Magnanti 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 L. Magnanti 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: 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

  • 2002 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2000 - Fellow of the American Academy of Arts and Sciences
  • 1991 - Member of the National Academy of Engineering For leadership in operations, research including fundamental contributions to optimal design of communication and transportation networks, and in education in manufacturing.

Overview

Thomas L. Magnanti is affiliated with MIT in the United States and has contributed to several fields within engineering, with significant focus on industrial and manufacturing engineering, management information systems, and automotive engineering. Their research spans topics related to scheduling and optimization algorithms, supply chain and inventory management, as well as electric vehicles and infrastructure.

Magnanti's recent publications include:

  • Scheduling with Testing of Heterogeneous Jobs, 2023, Management Science
  • Optimization: From Its Inception, 2021, Management Science
  • Decision-dependent Robust Charging Infrastructure Planning for Light-duty Truck Electrification at Industrial Sites: Scheduling and Abandonment, 2025, arXiv (Cornell University)
  • Decision-Dependent Robust Charging Infrastructure Planning for Light-Duty Truck Electrification at Industrial Sites: Scheduling and Abandonment, 2025, SSRN Electronic Journal

Frequent co-authors who have collaborated with Magnanti include:

  • Ruicheng Ao
  • Retsef Levi
  • Yaron Shaposhnik
  • Yifu Ding
  • Pablo Dueñas-Martínez

Magnanti has published predominantly in the journal Management Science and has also contributed to preprint and electronic journals such as arXiv (Cornell University) and SSRN Electronic Journal.

The main research topics covered by this scientist are:

  • Scheduling and Optimization Algorithms
  • Supply Chain and Inventory Management
  • Optimization and Search Problems
  • Optimization and Packing Problems
  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Electric and Hybrid Vehicle Technologies

Magnanti has received recognition through multiple awards including:

  • Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), 2002
  • Fellow of the American Academy of Arts and Sciences, 2000
  • Member of the National Academy of Engineering, 1991, for leadership in operations research including fundamental contributions to optimal design of communication and transportation networks, and education in manufacturing

Best Publications

  • Network Flows

    R. K. Ahuja;T. L. Magnanti;J. B. Orlin

  • Network Flows: Theory, Algorithms, and Applications

    Ravindra K. Ahuja;Thomas L. Magnanti;James B. Orlin

  • Network Design and Transportation Planning: Models and Algorithms

    Thomas L. Magnanti;Richard T. Wong

  • Applied Mathematical Programming

    Stephen P. Bradley;Arnoldo C. Hax;Thomas L. Magnanti

  • Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria

    Thomas L. Magnanti;Richard T. Wong

  • Implementing vehicle routing algorithms

    Bruce L Golden;Thomas L Magnanti;Hien Q Nguyen

  • A Dual-Ascent Procedure for Large-Scale Uncapacitated Network Design

    A. Balakrishnan;T. L. Magnanti;R. T. Wong

  • Equilibria on a Congested Transportation Network

    H. Z. Aashtiani;T. L. Magnanti

  • Modeling and Solving the Two-Facility Capacitated Network Loading Problem

    Thomas L. Magnanti;Prakash Mirchandani;Rita Vachani

  • A Comparison of Mixed-Integer Programming Models for Nonconvex Piecewise Linear Cost Minimization Problems

    Keely L. Croxton;Bernard Gendron;Thomas L. Magnanti

  • Combinatorial optimization and vehicle fleet planning : perspectives and prospects

    Thomas L. Magnanti

  • The convex hull of two core capacitated network design problems

    Thomas L. Magnanti;Prakash Mirchandani;Rita Vachani

  • A Combined Trip Generation, Trip Distribution, Modal Split, and Trip Assignment Model

    K. Nabil Ali Safwat;Thomas L. Magnanti

  • Tailoring Benders decomposition for uncapacitated network design

    T. L. Magnanti;P. Mireault;R. T. Wong

  • The Structure of Admissible Points with Respect to Cone Dominance

    G. R. Bitran;T. L. Magnanti

  • Models for Planning Capacity Expansion in Local Access Telecommunication Networks

    Anantaram Balakrishnan;Thomas L. Magnanti;A. Shulman;Richard T. Wong

  • Some recent advances in network flows

    Ravindra K. Ahuja;Thomas L. Magnanti;James B. Orlin

  • Facets and algorithms for capacitated lot sizing

    Janny M. Leung;Thomas L. Magnanti;Rita Vachani

  • Sensitivity analysis for variational inequalities defined on polyhedral sets

    Yuping Qiu;Thomas L. Magnanti

  • A Decomposition Algorithm for Local Access Telecommunications Network Expansion Planning

    Anantaram Balakrishnan;Thomas L. Magnanti;Richard T. Wong

Frequent Co-Authors

Ravindra K. Ahuja
Ravindra K. Ahuja University of Florida
Bernard Gendron
Bernard Gendron University of Montreal
Bruce L. Golden
Bruce L. Golden University of Maryland, College Park
Laurence A. Wolsey
Laurence A. Wolsey Université Catholique de Louvain
Sven Axsäter
Sven Axsäter Lund University
El-Houssaine Aghezzaf
El-Houssaine Aghezzaf Ghent University
Chau Yuen
Chau Yuen Nanyang Technological University

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