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Computer Science

D-Index
49
Citations
8841
World Ranking
5929
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92

Yonatan Belinkov 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 Yonatan Belinkov 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Yonatan Belinkov 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 Yonatan Belinkov 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yonatan Belinkov is affiliated with the Technion - Israel Institute of Technology in Israel. Their research spans multiple areas within computer science, with a significant focus on artificial intelligence. They have contributed extensively to the understanding and development of models related to natural language processing and machine learning.

Their research record includes numerous publications, notably in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), the Proceedings of the AAAI Conference on Artificial Intelligence, Computational Linguistics, and Bioinformatics. The highest concentration of their work appears in arXiv with 75 publications.

Belinkov's primary fields of study include:

  • Computer Science

Their research subfields encompass:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Electrical and Electronic Engineering

Key topics of their work are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Explainable Artificial Intelligence (XAI)
  • Multimodal Machine Learning Applications
  • Genomics and Phylogenetic Studies
  • Speech Recognition and Synthesis
  • Machine Learning in Bioinformatics

Recent papers authored or co-authored by Belinkov include:

  • Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks, 2024, arXiv (Cornell University)
  • Locating and Editing Factual Associations in GPT, 2022, arXiv (Cornell University)
  • End-to-End Bias Mitigation by Modelling Biases in Corpora, 2020, Infoscience (Ecole Polytechnique Fédérale de Lausanne)
  • Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias, 2020, arXiv (Cornell University)
  • Mass-Editing Memory in a Transformer, 2022, arXiv (Cornell University)

Frequent collaborators in their research include:

  • Hadas Orgad
  • David Bau
  • Aaron Mueller
  • Edo Dotan
  • Tal Pupko

Best Publications

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • Linguistic Knowledge and Transferability of Contextual Representations

    Nelson F. Liu;Matt Gardner;Yonatan Belinkov;Matthew E. Peters

  • Synthetic and Natural Noise Both Break Neural Machine Translation

    Yonatan Belinkov;Yonatan Bisk

  • Analysis Methods in Neural Language Processing: A Survey.

    Yonatan Belinkov;James R. Glass

  • Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

    Yossi Adi;Einat Kermany;Yonatan Belinkov;Ofer Lavi

  • What do neural machine translation models learn about morphology

    Yonatan Belinkov;Nadir Durrani;Fahim Dalvi;Hassan Sajjad

  • Analyzing the Structure of Attention in a Transformer Language Model

    Jesse Vig;Yonatan Belinkov

  • End-to-End Bias Mitigation by Modelling Biases in Corpora

    Rabeeh Karimi Mahabadi;Yonatan Belinkov;James Henderson

  • Mass-Editing Memory in a Transformer

    Unknown

  • Probing Classifiers: Promises, Shortcomings, and Advances

    Yonatan Belinkov

  • Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

    Yonatan Belinkov;Lluís Màrquez;Hassan Sajjad;Nadir Durrani

  • Investigating Gender Bias in Language Models Using Causal Mediation Analysis

    Jesse Vig;Sebastian Gehrmann;Yonatan Belinkov;Sharon Qian

  • Identifying and Controlling Important Neurons in Neural Machine Translation

    Anthony Bau;Yonatan Belinkov;Hassan Sajjad;Nadir Durrani

  • What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models.

    Fahim Dalvi;Nadir Durrani;Hassan Sajjad;Yonatan Belinkov

  • Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems

    Yonatan Belinkov;James R. Glass

  • Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

    Jesse Vig;Sebastian Gehrmann;Yonatan Belinkov;Sharon Qian

  • Proceedings of the 2018 EMNLP Workshop BlackboxNLP : Analyzing and Interpreting Neural Networks for NLP

    Tal Linzen;Grzegorz Chrupala;Yonatan Belinkov;Dieuwke Hupkes

  • Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects

    Gabriel Grand;Yonatan Belinkov

  • Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

    Yonatan Belinkov;Adam Poliak;Stuart Shieber;Benjamin Van Durme

  • A Constructive Prediction of the Generalization Error Across Scales

    Jonathan S. Rosenfeld;Amir Rosenfeld;Yonatan Belinkov;Nir Shavit

  • Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?

    Abhilasha Ravichander;Yonatan Belinkov;Eduard H. Hovy

  • Analyzing Individual Neurons in Pre-trained Language Models

    Nadir Durrani;Hassan Sajjad;Fahim Dalvi;Yonatan Belinkov

  • Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

    Matthew Finlayson;Aaron Mueller;Sebastian Gehrmann;Stuart Shieber

Frequent Co-Authors

Stuart M. Shieber
Stuart M. Shieber Harvard University
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Alexander M. Rush
Alexander M. Rush Cornell University
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Frank Keller
Frank Keller University of Edinburgh
Philipp Koehn
Philipp Koehn Johns Hopkins University
Graham Neubig
Graham Neubig Carnegie Mellon University
Tal Linzen
Tal Linzen New York University

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