World's Best Scientists 2026 revealed!
Martin Middendorf

Martin Middendorf

D-Index & Metrics

Computer Science

D-Index
46
Citations
15254
World Ranking
6677
National Ranking
318

Martin Middendorf 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 Martin Middendorf 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+

This scientist: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Martin Middendorf 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 Martin Middendorf 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+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Martin Middendorf is affiliated with Leipzig University in Germany. Their research spans multiple scientific fields, primarily focusing on Biochemistry, Genetics and Molecular Biology as well as Engineering. Within these broad areas, Middendorf's work delves into subfields such as Industrial and Manufacturing Engineering, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, and Artificial Intelligence.

Their research interests are reflected in diverse main topics including:

  • Insect and Arachnid Ecology and Behavior
  • Plant and animal studies
  • Vehicle Routing Optimization Methods
  • Insect and Pesticide Research
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Metaheuristic Optimization Algorithms Research

Middendorf has published research in several venues, with a frequent presence in the following journals and platforms:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • IEEE Transactions on Cybernetics

Notable recent papers include:

  • "Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process" (2021) published in IEEE Transactions on Cybernetics
  • "A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows" (2020) published in IEEE Access
  • "Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks" (2020) published in eLife
  • "Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior" (2023) published in Scientific Reports
  • "Automated monitoring of animal behaviour with barcodes and convolutional neural networks" (2020) published in bioRxiv (Cold Spring Harbor Laboratory)

Middendorf often collaborates with a core group of co-authors, including:

  • Matthias Bernt
  • Lisa Fiedler
  • Beryl M. Jones
  • Tim Gernat
  • Tobias Jagla

Best Publications

  • MITOS: Improved de novo metazoan mitochondrial genome annotation

    Matthias Bernt;Alexander Donath;Frank Jühling;Frank Jühling;Fabian Externbrink

  • Ant colony optimization for resource-constrained project scheduling

    D. Merkle;M. Middendorf;H. Schmeck

  • Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes

    Alexander Donath;Frank Jühling;Frank Jühling;Marwa Al-Arab;Marwa Al-Arab;Stephan H Bernhart

  • A hierarchical particle swarm optimizer and its adaptive variant

    S. Janson;M. Middendorf

  • CREx: inferring genomic rearrangements based on common intervals.

    Matthias Bernt;Daniel Merkle;Kai Ramsch;Guido Fritzsch

  • Bi-Criterion Optimization with Multi Colony Ant Algorithms

    Steffen Iredi;Daniel Merkle;Martin Middendorf

  • Improved systematic tRNA gene annotation allows new insights into the evolution of mitochondrial tRNA structures and into the mechanisms of mitochondrial genome rearrangements

    Frank Jühling;Joern Pütz;Matthias Bernt;Alexander Donath

  • A Population Based Approach for ACO

    Michael Guntsch;Martin Middendorf

  • Multi Colony Ant Algorithms

    Martin Middendorf;Frank Reischle;Hartmut Schmeck

  • Applying Population Based ACO to Dynamic Optimization Problems

    Michael Guntsch;Martin Middendorf

  • Pheromone Modification Strategies for Ant Algorithms Applied to Dynamic TSP

    Michael Guntsch;Martin Middendorf

  • Guest editorial: special section on ant colony optimization

    M. Dorigo;L.M. Gambardella;M. Middendorf;T. Stutzle

  • An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems

    Daniel Merkle;Martin Middendorf

  • An Island Model Based Ant System with Lookahead for the Shortest Supersequence Problem

    René Michel;Martin Middendorf

  • Waiting Strategies for Dynamic Vehicle Routing

    Jürgen Branke;Martin Middendorf;Guntram Noeth;Maged Dessouky

  • Dynamic scheduling of tasks on partially reconfigurable FPGAs

    O. Diessel;H. ElGindy;M. Middendorf;H. Schmeck

  • An Ant Colony Optimization approach to dynamic TSP

    Michael Guntsch;Martin Middendorf;Hartmut Schmeck

  • Molecular docking with multi-objective Particle Swarm Optimization

    Stefan Janson;Daniel Merkle;Martin Middendorf

  • Performance evaluation of artificial bee colony optimization and new selection schemes

    Konrad Diwold;Andrej Aderhold;Alexander Scheidler;Martin Middendorf

  • Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks.

    Tim Gernat;Vikyath D. Rao;Martin Middendorf;Harry Dankowicz

  • An ACO algorithm for the shortest common supersequence problem

    René Michel;Martin Middendorf

Frequent Co-Authors

Hartmut Schmeck
Hartmut Schmeck Karlsruhe Institute of Technology
Peter F. Stadler
Peter F. Stadler Leipzig University
Madeleine Beekman
Madeleine Beekman University of Sydney
Gene E. Robinson
Gene E. Robinson University of Illinois at Urbana-Champaign
Gerik Scheuermann
Gerik Scheuermann Leipzig University
Christian Blum
Christian Blum Spanish National Research Council
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Saurabh Sinha
Saurabh Sinha University of Illinois at Urbana-Champaign

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