World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
9064
World Ranking
2008
National Ranking
75

Computer Science

D-Index
41
Citations
9423
World Ranking
8680
National Ranking
343

Gilles Savard 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 Gilles Savard 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: 114 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.

Gilles Savard 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 Gilles Savard 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: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Gilles Savard is affiliated with Polytechnique Montréal in Canada and has contributed to the field of Engineering through a body of research focused primarily on areas including Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, and Control and Systems Engineering.

Their research encompasses a range of subfields, with published work in Building and Construction as well as Management Information Systems. Savard's work covers several main topics, notably Urban and Freight Transport Logistics, Smart Grid Energy Management, and Supply Chain and Inventory Management. Other research interests include Railway Systems and Energy Efficiency, Transportation Planning and Optimization, Vehicle Routing Optimization Methods, and Electric Vehicles and Infrastructure.

The following recent papers represent their research outputs, reflecting contributions to several peer-reviewed venues:

  • "Revenue optimization in energy networks involving self-scheduled demand and a smart grid" (2021, Computers & Operations Research)
  • "Deep reinforcement learning in seat inventory control problem: an action generation approach" (2021, Journal of Revenue and Pricing Management)
  • "Application of machine learning techniques in railway demand forecasting" (2021, International Journal of Revenue Management)
  • "A Two-step Heuristic for the Periodic Demand Estimation Problem" (2021, arXiv (Cornell University))
  • "Product-closing approximation for ranking-based choice network revenue management" (2020, European Journal of Operational Research)

Savard's frequent co-authors include Miguel F. Anjos, Neda Etebari Alamdari, Greta Laage, Emma Frejinger, and Sezin Afşar. This collaborative network has contributed to various interdisciplinary research efforts.

The scientist regularly publishes in venues such as Computers & Operations Research and the International Journal of Revenue Management, with additional contributions to arXiv (Cornell University), the Journal of Revenue and Pricing Management, and the European Journal of Operational Research. These journals reflect the applied and theoretical dimensions of their research scope.

Best Publications

  • An overview of bilevel optimization

    Benoît Colson;Patrice Marcotte;Gilles Savard

  • New branch-and-bound rules for linear bilevel programming

    Pierre Hansen;Brigitte Jaumard;Gilles Savard

  • Bilevel programming: A survey

    Benoít Colson;Patrice Marcotte;Gilles Savard

  • A bilevel model of taxation and its application to optimal highway pricing

    Martine Labbé;Patrice Marcotte;Gilles Savard

  • Descent approaches for quadratic bilevel programming

    L. Vicente;G. Savard;J. Júdice

  • A System Architecture for Autonomous Demand Side Load Management in Smart Buildings

    G. T. Costanzo;Guchuan Zhu;M. F. Anjos;G. Savard

  • A Bilevel Model for Toll Optimization on a Multicommodity Transportation Network

    Luce Brotcorne;Martine Labbé;Patrice Marcotte;Gilles Savard

  • The steepest descent direction for the nonlinear bilevel programming problem

    Gilles Savard;Jacques Gauvin

  • A branch and cut algorithm for nonconvex quadratically constrained quadratic programming

    Charles Audet;Pierre Hansen;Brigitte Jaumard;Gilles Savard

  • A Trust-Region Method for Nonlinear Bilevel Programming: Algorithm and Computational Experience

    Benoît Colson;Patrice Marcotte;Gilles Savard

  • Links between linear bilevel and mixed 0-1 programming problems

    C. Audet;P. Hansen;B. Jaumard;G. Savard

  • Discrete linear bilevel programming problem

    L. Vicente;G. Savard;J. Júdice

  • A bilevel modelling approach to pricing and fare optimisation in the airline industry

    Jean-Philippe Côté;Patrice Marcotte;Gilles Savard

  • Multiobjective Optimization Through a Series of Single-Objective Formulations

    Charles Audet;Gilles Savard;Walid Zghal

  • A Bilevel Model and Solution Algorithm for a Freight Tariff-Setting Problem

    Luce Brotcorne;Martine Labbé;Patrice Marcotte;Gilles Savard

  • The time-dependent traveling salesman problem and single machine scheduling problems with sequence dependent setup times

    Louis-Philippe Bigras;Michel Gamache;Gilles Savard

  • Toll Policies for Mitigating Hazardous Materials Transport Risk

    Patrice Marcotte;Anne Mercier;Gilles Savard;Vedat Verter

  • A hybrid Tabu-ascent algorithm for the linear Bilevel Programming Problem

    Michel Gendreau;Patrice Marcotte;Gilles Savard

  • An approximation algorithm for Stackelberg network pricing

    Sébastien Roch;Gilles Savard;Patrice Marcotte

  • A mesh adaptive direct search algorithm for multiobjective optimization

    Charles Audet;Charles Audet;Gilles Savard;Gilles Savard;Walid Zghal

  • The Discrete Linear Bilevel Programming Problem

    Gilles Savard;Joaquim J. Júdice;Luís Nunes Vicente

  • Links Between the Linear Bilevel and Mixed 0-1 Programming Problems

    Charles Audet;Pierre Hansen;Brigitte Jaumard;Gilles Savard

  • A Bilevel Model for Toll Optimization on a Multicommodity Transportation Network

    Gilles Savard;Luce Brotcorne;Patrice Marcotte;Martine Labbé

Frequent Co-Authors

Patrice Marcotte
Patrice Marcotte University of Montreal
Charles Audet
Charles Audet Polytechnique Montréal
Brigitte Jaumard
Brigitte Jaumard Concordia University
Martine Labbé
Martine Labbé Université Libre de Bruxelles
Pierre Hansen
Pierre Hansen HEC Montréal
Alain Haurie
Alain Haurie HEC Montréal
André Langevin
André Langevin Polytechnique Montréal
Luís Nunes Vicente
Luís Nunes Vicente Lehigh University
Frédéric Semet
Frédéric Semet University of Lille

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

Exploring Mathematics in the USA opens doors to numerous interdisciplinary career paths. Many students consider pursuing a master's degree in marketing to combine analytical skills with business strategies, enhancing their career prospects.

For those interested in leadership roles, enrolling in year long mba programs offers an accelerated path to gaining advanced business knowledge while keeping a focus on quantitative reasoning.

Additionally, many online programs offer flexibility through mba transfer credits, allowing students to leverage previous coursework and reduce the overall time and cost of earning an MBA.

Furthermore, with the rise of big data, earning a data analytics masters has become a popular choice for math graduates looking to apply their skills in technology, finance, healthcare, and more.

Best Scientists Citing Gilles Savard

Trending Scientists