World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
45
Citations
15518
World Ranking
1255
National Ranking
196

Engineering and Technology

D-Index
53
Citations
16839
World Ranking
3312
National Ranking
215

Matthias Ehrgott publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Matthias Ehrgott sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 148 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Matthias Ehrgott D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Matthias Ehrgott sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 45 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Overview

Matthias Ehrgott is affiliated with Lancaster University in the United Kingdom. Their research primarily spans the field of Engineering, with a focus on several subfields including Management Science and Operations Research, Industrial and Manufacturing Engineering, Transportation, Control and Systems Engineering, and Computational Theory and Mathematics.

The main topics covered in Ehrgott's work include:

  • Advanced Multi-Objective Optimization Algorithms
  • Transportation Planning and Optimization
  • Facility Location and Emergency Management
  • Process Optimization and Integration
  • Metaheuristic Optimization Algorithms Research
  • Advanced Optimization Algorithms Research
  • Efficiency Analysis Using Data Envelopment Analysis (DEA)

Frequent co-authors of Ehrgott are:

  • Salvatore Greco
  • Judith Y.T. Wang
  • Andrea Raith
  • Margaret M. Wiecek
  • Fotios Petropoulos

The scientist has contributed to several publication venues with repeated appearances in:

  • Journal of Multi-Criteria Decision Analysis
  • European Journal of Operational Research
  • Annals of Operations Research
  • Journal of the Operational Research Society
  • Computers & Operations Research

Selected recent papers authored or co-authored by Matthias Ehrgott include:

  • Operational Research: methods and applications, 2023, Journal of the Operational Research Society
  • Bi-objective optimisation over a set of convex sub-problems, 2021, Annals of Operations Research
  • An infeasible interior-point technique to generate the nondominated set for multiobjective optimization problems, 2023, Computers & Operations Research
  • Integrating Data Envelopment Analysis into radiotherapy treatment planning for head and neck cancer patients, 2021, European Journal of Operational Research
  • On Generalized Dominance Structures for Multi-Objective Optimization, 2023, Mathematical and Computational Applications

Ehrgott has also contributed to academic literature through book publications. Notably, they have a publication titled Evolutionary Multi-Criterion Optimization released in 2023 by Springer Science+Business Media.

Best Publications

  • Multiple criteria decision analysis: state of the art surveys

    Salvatore Greco;Matthias Ehrgott;José Rui Figueira

  • Multiple Criteria Decision Analysis

    Salvatore Greco;Matthias Ehrgott;José Rui Figueira

  • Multicriteria Optimization

    Matthias Ehrgott

  • A survey and annotated bibliography of multiobjective combinatorial optimization

    Matthias Ehrgott;Xavier Gandibleux

  • Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys

    Matthias Ehrgott;Xavier Gandibleux

  • Railway track allocation: models and methods

    Richard M. Lusby;Jesper Larsen;Matthias Ehrgott;David Ryan

  • An MCDM approach to portfolio optimization

    Matthias Ehrgott;Kathrin Klamroth;Christian Schwehm

  • Social Sustainability in Selecting Emerging Economy Suppliers

    Matthias Ehrgott;Felix Reimann;Lutz Kaufmann;Craig R. Carter

  • Multiobjective Optimization

    Unknown

  • Minmax Robustness for Multi-objective Optimization Problems

    Matthias Ehrgott;Matthias Ehrgott;Jonas Ide;Anita Schöbel

  • Multicriteria Optimization

    Unknown

  • Constructing robust crew schedules with bicriteria optimization

    Matthias Ehrgott;David M. Ryan

  • A comparison of solution strategies for biobjective shortest path problems

    Andrea Raith;Matthias Ehrgott

  • Local stakeholders and local legitimacy: MNEs' social strategies in emerging economies

    Felix Reimann;Matthias Ehrgott;Lutz Kaufmann;Craig R. Carter

  • Trends in multiple criteria decision analysis

    Matthias Ehrgott;José Rui Figueira;Salvatore Greco

  • Approximative solution methods for multiobjective combinatorial optimization

    Matthias Ehrgott;Xavier Gandibleux

  • Multiobjective Combinatorial Optimization — Theory, Methodology, and Applications

    Matthias Ehrgott;Xavier Gandibleux

  • A discussion of scalarization techniques for multiple objective integer programming

    Matthias Ehrgott

  • Evolutionary Multi-Criterion Optimization

    Unknown

  • Mathematical optimization in intensity modulated radiation therapy

    Matthias Ehrgott;Çiğdem Güler;Horst W. Hamacher;Lizhen Shao

  • An iterative approach to robust and integrated aircraft routing and crew scheduling

    Oliver Weide;David Ryan;Matthias Ehrgott

  • Computation of ideal and Nadir values and implications for their use in MCDM methods

    Matthias Ehrgott;Dagmar Tenfelde-Podehl

  • Approximation algorithms for combinatorial multicriteria optimization problems

    Matthias Ehrgott

  • Hybrid Metaheuristics

    Unknown

  • Evolutionary Multi-Criterion Optimization

    Matthias Ehrgott;Carlos M. Fonseca;Xavier Gandibleux;Jin-Kao Hao

Frequent Co-Authors

Horst W. Hamacher
Horst W. Hamacher Technical University of Kaiserslautern
José Rui Figueira
José Rui Figueira Instituto Superior Técnico
Kathrin Klamroth
Kathrin Klamroth University of Wuppertal
Theodor J. Stewart
Theodor J. Stewart University of Cape Town
Stefan Nickel
Stefan Nickel Karlsruhe Institute of Technology
Salvatore Greco
Salvatore Greco University of Portsmouth
Simon Bickerton
Simon Bickerton University of Auckland
Anita Schöbel
Anita Schöbel Technical University of Kaiserslautern
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Martyn P. Nash
Martyn P. Nash University of Auckland

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