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D-Index & Metrics

Computer Science

D-Index
39
Citations
10782
World Ranking
9532
National Ranking
375

Irina Rish 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 Irina Rish 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Irina Rish 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 Irina Rish 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Irina Rish is affiliated with the University of Montreal in Canada and has a substantial academic footprint mainly in the field of Computer Science.

Their research predominantly focuses on several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Epidemiology
  • Information Systems

Within these subfields, Irina has contributed notably to topics such as:

  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Neural Networks and Applications
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Privacy-Preserving Technologies in Data
  • EEG and Brain-Computer Interfaces

Irina Rish's scholarly output includes papers published in diverse venues, with the most frequent being:

  • arXiv (Cornell University)
  • Scientific Reports
  • Journal of Vision
  • Journal of Artificial Intelligence Research
  • Radiology

Among their recent publications are:

  • "Towards Continual Reinforcement Learning: A Review and Perspectives" (2022), Journal of Artificial Intelligence Research
  • "Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization" (2021), arXiv (Cornell University)
  • "Generative Models of Brain Dynamics" (2022), Frontiers in Artificial Intelligence
  • "Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting" (2023), arXiv (Cornell University)

Irina has collaborated frequently with several researchers in their field, including:

  • Eugene Belilovsky
  • Timothée Lesort
  • Jean-Christophe Gagnon-Audet
  • Yoshua Bengio
  • Guillaume Dumas

Best Publications

  • An empirical study of the naive Bayes classifier

    I. Rish

  • Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

    Pouya Bashivan;Irina Rish;Mohammed Yeasin;Noel Codella

  • Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference

    Matthew Riemer;Ignacio Cases;Robert Ajemian;Miao Liu

  • Critical event prediction for proactive management in large-scale computer clusters

    R. K. Sahoo;A. J. Oliner;I. Rish;M. Gupta

  • Mini-buckets: A general scheme for bounded inference

    Rina Dechter;Irina Rish

  • Improving network robustness by edge modification

    Alina Beygelzimer;Geoffrey Grinstein;Ralph Linsker;Irina Rish

  • Adaptive diagnosis in distributed systems

    I. Rish;M. Brodie;Sheng Ma;N. Odintsova

  • Sparse Modeling: Theory, Algorithms, and Applications

    Irina Rish;Genady Grabarnik

  • Directional resolution : the Davis-Putnam procedure, revisited

    Rina Dechter;Irina Rish

  • Prediction and interpretation of distributed neural activity with sparse models

    Melissa K. Carroll;Guillermo A. Cecchi;Irina Rish;Rahul Garg

  • Survey on Applications of Multi-Armed and Contextual Bandits

    Djallel Bouneffouf;Irina Rish;Charu Aggarwal

  • Towards Continual Reinforcement Learning: A Review and Perspectives.

    Khimya Khetarpal;Matthew Riemer;Irina Rish;Doina Precup

  • Resolution versus Search: Two Strategies for SAT

    Irina Rish;Rina Dechter

  • Real-time problem determination in distributed systems using active probing

    I. Rish;M. Brodie;N. Odintsova;Sheng Ma

  • A Survey on Practical Applications of Multi-Armed and Contextual Bandits.

    Djallel Bouneffouf;Irina Rish

  • Optimizing Probe Selection for Fault Localization

    Mark Brodie;Irina Rish;Sheng Ma

  • Intelligent probing: a cost-effective approach to fault diagnosis in computer networks

    M. Brodie;I. Rish;S. Ma

  • Summarizing CSP hardness with continuous probability distributions

    Daniel Frost;Irina Rish;Lluís Vila

  • Closed-form supervised dimensionality reduction with generalized linear models

    Irina Rish;Genady Grabarnik;Guillermo Cecchi;Francisco Pereira

  • A scheme for approximating probabilistic inference

    Rind Dechter;Irina Rish

Frequent Co-Authors

Guillermo A. Cecchi
Guillermo A. Cecchi IBM (United States)
Dimitri Kanevsky
Dimitri Kanevsky Google (United States)
Clifford A. Pickover
Clifford A. Pickover IBM (United States)
Rina Dechter
Rina Dechter University of California, Irvine
Aram Galstyan
Aram Galstyan University of Southern California
Sahil Garg
Sahil Garg Canadian University of Dubai
Sara H. Basson
Sara H. Basson Google (United States)
Katya Scheinberg
Katya Scheinberg Cornell University
Yoshua Bengio
Yoshua Bengio University of Montreal
Edward E. Kelley
Edward E. Kelley IBM (United States)

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