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Kathrin Klamroth

Kathrin Klamroth

Kathrin Klamroth publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kathrin Klamroth sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

The last bar groups every scientist with 991 publications or more.

Kathrin Klamroth D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kathrin Klamroth sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

The last bar groups every scientist with 131 D-Index or more.

Overview

Kathrin Klamroth is affiliated with the University of Wuppertal in Germany. Their research spans a broad range of topics within engineering and computer science, with significant contributions to multi-objective optimization, vehicle routing methods, and process optimization.

The main fields of study for Klamroth include:

  • Engineering
  • Computer Science

Within these fields, their work addresses several subfields such as:

  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Numerical Analysis

The primary research topics covered in their publications include:

  • Advanced Multi-Objective Optimization Algorithms
  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Process Optimization and Integration
  • Optimization and Mathematical Programming
  • Advanced Optimization Algorithms Research
  • Probabilistic and Robust Engineering Design

Klamroth has published multiple research papers in various specialized journals. Notable recent papers include:

  • Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey, 2022, Journal of Multi-Criteria Decision Analysis
  • Event-based MILP models for ridepooling applications, 2021, European Journal of Operational Research
  • PINN training using biobjective optimization: The trade-off between data loss and residual loss, 2023, Journal of Computational Physics
  • Efficient and sparse neural networks by pruning weights in a multiobjective learning approach, 2022, Computers & Operations Research
  • Branch-and-bound and objective branching with three or more objectives, 2022, Computers & Operations Research

Frequent publication venues for Klamroth's research work are:

  • arXiv (Cornell University)
  • European Journal of Operational Research
  • Computers & Operations Research
  • Journal of Global Optimization
  • Discrete Applied Mathematics

Collaborative efforts form an important part of Klamroth's research output. Frequent coauthors include:

  • Michael Stiglmayr
  • Luís Paquete
  • Onur Tanil Doganay
  • Daniela Gaul
  • Julia Sudhoff

The scope and diversity of Klamroth's work reflect a sustained engagement with computational optimization, particularly focusing on multiobjective linear optimization and applications in transportation and manufacturing engineering contexts.

Best Publications

  • Biconvex sets and optimization with biconvex functions: a survey and extensions

    Jochen Gorski;Frank Pfeuffer;Kathrin Klamroth

  • An MCDM approach to portfolio optimization

    Matthias Ehrgott;Kathrin Klamroth;Christian Schwehm

  • The Weber Problem

    Zvi Drezner;Kathrin Klamroth;Anita Schöbel;George O. Wesolowsky

  • Dynamic programming approaches to the multiple criteria knapsack problem

    Kathrin Klamroth;Margaret M. Wiecek

  • Connectedness of efficient solutions in multiple criteria combinatorial optimization

    Matthias Ehrgott;Kathrin Klamroth

  • On the representation of the search region in multi-objective optimization

    Kathrin Klamroth;Renaud Lacour;Daniel Vanderpooten

  • A linear bound on the number of scalarizations needed to solve discrete tricriteria optimization problems

    Kerstin Dächert;Kathrin Klamroth

  • Unbiased approximation in multicriteria optimization

    Kathrin Klamroth;Jørgen Tind;Margaret M. Wiecek

  • An efficient solution method for Weber problems with barriers based on genetic algorithms

    Martin Bischoff;Kathrin Klamroth

  • Single-Facility Location Problems with Barriers

    Kathrin Klamroth

  • An augmented weighted Tchebycheff method with adaptively chosen parameters for discrete bicriteria optimization problems

    Kerstin Dächert;Jochen Gorski;Kathrin Klamroth

  • Pareto navigator for interactive nonlinear multiobjective optimization

    Petri Eskelinen;Kaisa Miettinen;Kathrin Klamroth;Jussi Hakanen

  • Constrained optimization using multiple objective programming

    Kathrin Klamroth;Tind Jørgen

  • Integrating Approximation and Interactive Decision Making in Multicriteria Optimization

    Kathrin Klamroth;Kaisa Miettinen

  • Planar weber location problems with line barriers

    K. Klamroth

  • A unified approach for different concepts of robustness and stochastic programming via non-linear scalarizing functionals

    K. Klamroth;E. Köbis;A. Schöbel;Chr. Tammer

  • The multi-facility location-allocation problem with polyhedral barriers

    Martin Bischoff;Tina Fleischmann;Kathrin Klamroth

  • A reduction result for location problems with polyhedral barriers

    Kathrin Klamroth

  • Introduction and Applications

    Horst W. Hamacher;Kathrin Klamroth

  • Norm-based approximation in multicriteria programming

    B. Schandl;K. Klamroth;M.M. Wiecek

Frequent Co-Authors

Matthias Ehrgott
Matthias Ehrgott Lancaster University
José Rui Figueira
José Rui Figueira Instituto Superior Técnico
Carlos M. Fonseca
Carlos M. Fonseca University of Coimbra
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Günter Rudolph
Günter Rudolph TU Dortmund University
Horst W. Hamacher
Horst W. Hamacher Technical University of Kaiserslautern
Anita Schöbel
Anita Schöbel Technical University of Kaiserslautern
Joshua Knowles
Joshua Knowles University of Manchester
Salvatore Greco
Salvatore Greco University of Portsmouth
Günter Leugering
Günter Leugering University of Erlangen-Nuremberg

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