World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
4385
World Ranking
10410
National Ranking
317

Markus Wagner 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 Markus Wagner 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Markus Wagner 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 Markus Wagner 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Markus Wagner is affiliated with Monash University in Australia. Their research spans multiple fields primarily within Computer Science and Engineering, with a strong focus on subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Mechanical Engineering, and Industrial and Manufacturing Engineering.

The scientist's work covers a variety of topics, such as:

  • Metaheuristic Optimization Algorithms Research
  • Software Engineering Research
  • Evolutionary Algorithms and Applications
  • Software System Performance and Reliability
  • Advanced Multi-Objective Optimization Algorithms
  • Software Testing and Debugging Techniques
  • Wind Energy Research and Development

Frequent co-authors collaborating with Markus Wagner include:

  • Christoph Treude (22 publications)
  • Marcella Scoczynski Ribeiro Martins (11 publications)
  • Mehdi Neshat (9 publications)
  • Bradley Alexander (9 publications)
  • Bach Long Nguyen (8 publications)

Markus Wagner has published extensively, contributing to venues such as:

  • arXiv (Cornell University) with 42 publications
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion with 10 publications
  • Empirical Software Engineering with 5 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 5 publications
  • Procedia CIRP with 3 publications

Recent research articles authored or co-authored by Markus Wagner include:

  • "Wind turbine power output prediction using a new hybrid neuro-evolutionary method", 2021, published in Energy
  • "Benchmarking in Optimization: Best Practice and Open Issues", 2020, published in arXiv (Cornell University)
  • "Metaheuristics "In the Large"", 2021, published in European Journal of Operational Research
  • "Design procedure for triply periodic minimal surface based biomimetic scaffolds", 2021, published in Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials
  • "A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters", 2020, published in Information Sciences

Markus Wagner has also contributed to book publications, including a volume published by the European Organization for Nuclear Research in 2023 titled "ieee-cis/IEEE-CIS-Open-Access-Book-Volume-1: FirstEdition".

Best Publications

  • A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

    Mehdi Neshat;Meysam Majidi Nezhad;Ehsan Abbasnejad;Seyedali Mirjalili

  • Evolutionary many-objective optimization: A quick-start guide

    Shelvin Chand;Markus Wagner

  • A comprehensive benchmark set and heuristics for the traveling thief problem

    Sergey Polyakovskiy;Mohammad Reza Bonyadi;Markus Wagner;Zbigniew Michalewicz

  • Node labeling schemes for dynamic XML documents reconsidered

    Theo Härder;Michael Haustein;Christian Mathis;Markus Wagner

  • A fast and effective local search algorithm for optimizing the placement of wind turbines

    Markus Wagner;Jareth Day;Frank Neumann

  • Development of underground mine monitoring and communication system integrated ZigBee and GIS

    Mohammad Ali Moridi;Youhei Kawamura;Mostafa Sharifzadeh;Emmanuel Knox Chanda

  • Wind turbine power output prediction using a new hybrid neuro-evolutionary method

    Mehdi Neshat;Meysam Majidi Nezhad;Ehsan Abbasnejad;Seyedali Mirjalili

  • Predicting the energy output of wind farms based on weather data: Important variables and their correlation

    Ekaterina Vladislavleva;Tobias Friedrich;Frank Neumann;Markus Wagner

  • A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Markus Wagner

  • Approximation-guided evolutionary multi-objective optimization

    Karl Bringmann;Tobias Friedrich;Frank Neumann;Markus Wagner

  • On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems

    Shelvin Chand;Quang Nhat Huynh;Hemant K. Singh;Tapabrata Ray

  • A case study of algorithm selection for the traveling thief problem

    Markus Wagner;Marius Lindauer;Mustafa Mısır;Samadhi Nallaperuma

  • A fast approximation-guided evolutionary multi-objective algorithm

    Markus Wagner;Frank Neumann

  • Benchmarking in Optimization: Best Practice and Open Issues

    Thomas Bartz-Beielstein;Carola Doerr;Jakob Bossek;Sowmya Chandrasekaran

  • Metaheuristics “In the Large”

    Jerry Swan;Steven Adriaensen;Alexander E.I. Brownlee;Kevin Hammond

  • Faster black-box algorithms through higher arity operators

    Benjamin Doerr;Daniel Johannsen;Timo Kötzing;Per Kristian Lehre

  • Approximate Approaches to the Traveling Thief Problem

    Hayden Faulkner;Sergey Polyakovskiy;Tom Schultz;Markus Wagner

  • Performance analysis of ZigBee network topologies for underground space monitoring and communication systems

    Mohammad Ali Moridi;Youhei Kawamura;Mostafa Sharifzadeh;Emmanuel Knox Chanda

  • Escaping large deceptive basins of attraction with heavy-tailed mutation operators

    Tobias Friedrich;Francesco Quinzan;Markus Wagner

  • Optimizing the Layout of 1000 Wind Turbines

    Markus Wagner;Kalyan Veeramachaneni;Frank Neumann;Una-May O'Reilly

  • Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

    Katya Vladislavleva;Tobias Friedrich;Frank Neumann;Markus Wagner

Frequent Co-Authors

Frank Neumann
Frank Neumann University of Adelaide
Tobias Friedrich
Tobias Friedrich Hasso Plattner Institute
Christoph Treude
Christoph Treude Singapore Management University
Domagoj Jakobovic
Domagoj Jakobovic University of Zagreb
Heike Trautmann
Heike Trautmann University of Münster
Yuval Yarom
Yuval Yarom Ruhr University Bochum
Lejla Batina
Lejla Batina Radboud University
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Zbigniew Michalewicz
Zbigniew Michalewicz University of Adelaide
Davide Astiaso Garcia
Davide Astiaso Garcia Sapienza University of Rome

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