World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8798
World Ranking
8712
National Ranking
144

Moshe Sipper 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 Moshe Sipper 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: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Moshe Sipper 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 Moshe Sipper 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Moshe Sipper is affiliated with Ben-Gurion University of the Negev in Israel and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and machine learning. Their body of research includes a significant number of publications centered on evolutionary algorithms, machine learning classification techniques, and adversarial robustness.

Their main fields of study include:

  • Computer Science

Within computer science, Moshe Sipper has a strong focus on subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Computational Theory and Mathematics
  • Information Systems

The scientist's primary research topics reflect a specialization in:

  • Evolutionary Algorithms and Applications
  • Machine Learning and Data Classification
  • Adversarial Robustness in Machine Learning
  • Metaheuristic Optimization Algorithms Research
  • Anomaly Detection Techniques and Applications
  • Neural Networks and Applications
  • Advanced Malware Detection Techniques

Moshe Sipper has contributed papers to various publication venues, including:

  • arXiv (Cornell University)
  • Applied Sciences
  • Algorithms
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • SN Computer Science

The scientist has collaborated frequently with other researchers such as Raz Lapid, Achiya Elyasaf, Jason H. Moore, Tomer Halperin, and Itai Tzruia, indicating active engagement in collaborative projects within their research community.

Selected recent publications by Moshe Sipper include:

  • Conservation machine learning: a case study of random forests, 2021, Scientific Reports
  • AddGBoost: A gradient boosting-style algorithm based on strong learners, 2021, Machine Learning with Applications
  • High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms, 2022, Algorithms

Best Publications

  • Encyclopedia of Machine Learning and Data Mining

    Unknown

  • Evolution of Parallel Cellular Machines

    Moshe Sipper

  • A fuzzy-genetic approach to breast cancer diagnosis.

    Carlos Andrés Peña-Reyes;Moshe Sipper

  • Evolution of Parallel Cellular Machines: The Cellular Programming Approach

    Moshe Sipper

  • A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems

    M. Sipper;E. Sanchez;D. Mange;M. Tomassini

  • Fifty years of research on self-replication: an overview

    Moshe Sipper

  • Toward robust integrated circuits: The embryonics approach

    D. Mange;M. Sipper;A. Stauffer;G. Tempesti

  • On the generation of high-quality random numbers by two-dimensional cellular automata

    M. Tomassini;M. Sipper;M. Perrenoud

  • Design, observation, surprise! A test of emergence

    Edmund M.A. Ronald;Moshe Sipper;Mathieu S. Capcarrère

  • Evolutionary computation in medicine: an overview.

    Carlos Andrés Peña-Reyes;Moshe Sipper

  • The emergence of cellular computing

    M. Sipper

  • Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware

    Eduardo Sanchez;Daniel Mange;Moshe Sipper;Marco Tomassini

  • Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling

    C.A. Pena-Reyes;M. Sipper

  • Co-evolving non-uniform cellular automata to perform computations

    Moshe Sipper

  • Toward a viable, self-reproducing universal computer

    Jean-Yves Perrier;Moshe Sipper;Jacques Zahnd

  • Generating Parallel Random Number Generators By Cellular Programming

    Moshe Sipper;Marco Tomassini

  • Static and dynamic configurable systems

    E. Sanchez;M. Sipper;J.-O. Haenni;J.-L. Beuchat

  • Machine Nature: The Coming Age of Bio-Inspired Computing

    Moshe Sipper

  • Towards Robust Integrated Circuits: The Embryonics Approach

    Daniel Mange;Moshe Sipper;André Stauffer;Gianluca Tempesti

  • Flight of the FINCH Through the Java Wilderness

    M Orlov;M Sipper

  • Necessary conditions for density classification by cellular automata

    Mathieu S. Capcarrere;Moshe Sipper

Frequent Co-Authors

Jason H. Moore
Jason H. Moore University of Pennsylvania
Marco Tomassini
Marco Tomassini University of Lausanne
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Avishai Henik
Avishai Henik Ben-Gurion University of the Negev
Peter I. Cowling
Peter I. Cowling Queen Mary University of London
Martin V. Butz
Martin V. Butz University of Tübingen
Dana S. Nau
Dana S. Nau University of Maryland, College Park
Héctor Muñoz-Avila
Héctor Muñoz-Avila Lehigh University
Lee Spector
Lee Spector Hampshire College

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