World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
25113
World Ranking
969
National Ranking
17

Shie Mannor 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 Shie Mannor 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 466 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Shie Mannor 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 Shie Mannor sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Shie Mannor is affiliated with the Technion - Israel Institute of Technology in Israel. Their research falls primarily within the field of Computer Science, with significant contributions in subfields including Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Computer Networks and Communications, and Computational Theory and Mathematics.

Their work focuses on several main topics, among which are Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Optimization and Search Problems, Evolutionary Algorithms and Applications, and Smart Grid Energy Management.

Among recent papers authored or co-authored by Shie Mannor are the following:

  • "Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities," 2022, Energy and AI
  • "Exploration-Exploitation in Constrained MDPs," 2020, arXiv (Cornell University)
  • "Abstraction-Based Decision Making for Statistical Properties (Invited Talk)," 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Reinforcement Learning for Datacenter Congestion Control," 2022, ACM SIGMETRICS Performance Evaluation Review
  • "Distributional Robustness and Regularization in Reinforcement Learning," 2020, arXiv (Cornell University)

They have collaborated frequently with several researchers, including:

  • Gal Chechik
  • Gal Dalal
  • Yonathan Efroni
  • Kfir Y. Levy
  • Guy Tennenholtz

Shie Mannor has published extensively in various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Energy and AI
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Their research output includes 174 publications counted under Computer Science, with 127 specifically in Artificial Intelligence and 35 in Management Science and Operations Research. Their focus on reinforcement learning, robotics, and advanced algorithms is emphasized by 104 publications in Reinforcement Learning in Robotics and 56 in Advanced Bandit Algorithms Research.

Best Publications

  • A Tutorial on the Cross-Entropy Method

    Pieter-Tjerk de Boer;Dirk P. Kroese;Shie Mannor;Reuven Y. Rubinstein

  • The kernel recursive least-squares algorithm

    Y. Engel;S. Mannor;R. Meir

  • Efficiency Loss in a Network Resource Allocation Game

    Ramesh Johari;John N. Tsitsiklis

  • Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems

    Eyal Even-Dar;Shie Mannor;Yishay Mansour

  • Reinforcement learning with Gaussian processes

    Yaakov Engel;Shie Mannor;Ron Meir

  • Robustness and Regularization of Support Vector Machines

    Huan Xu;Constantine Caramanis;Shie Mannor;Shie Mannor

  • Robustness and generalization

    Huan Xu;Shie Mannor

  • Bayesian Reinforcement Learning: A Survey

    Mohammad Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

  • PAC Bounds for Multi-armed Bandit and Markov Decision Processes

    Eyal Even-Dar;Shie Mannor;Yishay Mansour

  • The Sample Complexity of Exploration in the Multi-Armed Bandit Problem

    Shie Mannor;John N. Tsitsiklis

  • A Deep Hierarchical Approach to Lifelong Learning in Minecraft

    Chen Tessler;Shahar Givony;Tom Zahavy;Daniel J. Mankowitz

  • Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning

    Ishai Menache;Shie Mannor;Nahum Shimkin

  • Dynamic abstraction in reinforcement learning via clustering

    Shie Mannor;Ishai Menache;Amit Hoze;Uri Klein

  • The cross entropy method for classification

    Shie Mannor;Dori Peleg;Reuven Rubinstein

  • Distributionally Robust Markov Decision Processes

    Huan Xu;Shie Mannor

  • Reward Constrained Policy Optimization

    Chen Tessler;Daniel J. Mankowitz;Shie Mannor

  • Bayes meets bellman: the Gaussian process approach to temporal difference learning

    Yaakov Engel;Shie Mannor;Ron Meir

  • Percentile Optimization for Markov Decision Processes with Parameter Uncertainty

    Erick Delage;Shie Mannor

  • Fully Parallel Stochastic LDPC Decoders

    S. Sharifi Tehrani;S. Mannor;W.J. Gross

  • Robust Regression and Lasso

    Huan Xu;Constantine Caramanis;Shie Mannor

  • Convex Optimization: Algorithms and Complexity

    Mohammed Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

Frequent Co-Authors

Huan Xu
Huan Xu Alibaba Group (China)
Constantine Caramanis
Constantine Caramanis The University of Texas at Austin
Warren J. Gross
Warren J. Gross McGill University
Aviv Tamar
Aviv Tamar Technion – Israel Institute of Technology
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Doina Precup
Doina Precup McGill University
Ramesh Johari
Ramesh Johari Stanford University
Ron Meir
Ron Meir Technion – Israel Institute of Technology
Ariel Orda
Ariel Orda Technion – Israel Institute of Technology
Sanjay Shakkottai
Sanjay Shakkottai The University of Texas at Austin

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Related Online Degrees & Career Pathways

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