World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
22152
World Ranking
2282
National Ranking
44

Ido Dagan 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 Ido Dagan 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: 285 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Ido Dagan 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 Ido Dagan 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Ido Dagan is affiliated with Bar-Ilan University in Israel. Their research primarily falls within the field of Computer Science, with a particular focus on Artificial Intelligence. Other subfields addressed in their work include Computer Vision and Pattern Recognition, Computer Networks and Communications, Computer Science Applications, and Molecular Biology.

Their research covers an array of topics related to natural language processing and text analysis. Notable themes in their publications encompass Topic Modeling, Natural Language Processing Techniques, Advanced Text Analysis Techniques, Speech and Dialogue Systems, Multimodal Machine Learning Applications, Semantic Web and Ontologies, and Text and Document Classification Technologies.

Frequent co-authors who have collaborated with Ido Dagan include Arie Cattan, Avi Caciularu, Ori Shapira, Aviv Slobodkin, and Ori Ernst.

Key venues where they have published include arXiv (Cornell University), the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Transactions of the Association for Computational Linguistics, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, and AI Magazine.

Selected recent papers authored or co-authored by Ido Dagan are:

  • Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes (2021), Transactions of the Association for Computational Linguistics
  • Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling (2020), Deep Blue (University of Michigan)
  • Asking It All: Generating Contextualized Questions for any Semantic Role (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proposition-Level Clustering for Multi-Document Summarization (2022), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Long Context Question Answering via Supervised Contrastive Learning (2022), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Best Publications

  • Improving Distributional Similarity with Lessons Learned from Word Embeddings

    Omer Levy;Yoav Goldberg;Ido Dagan

  • The PASCAL Recognising Textual Entailment Challenge

    Ido Dagan;Oren Glickman;Bernardo Magnini

  • The Third PASCAL Recognizing Textual Entailment Challenge

    Danilo Giampiccolo;Bernardo Magnini;Ido Dagan;Bill Dolan

  • Knowledge discovery in Textual Databases (KDT)

    Ronen Feldman;Ido Dagan

  • Committee-based sampling for training probabilistic classifiers

    Ido Dagan;Sean P. Engelson

  • The Seventh PASCAL Recognizing Textual Entailment Challenge.

    Luisa Bentivogli;Peter Clark;Ido Dagan;Danilo Giampiccolo

  • Similarity-Based Models of Word Cooccurrence Probabilities

    Ido Dagan;Lillian Lee;Fernando C. N. Pereira

  • context2vec: Learning Generic Context Embedding with Bidirectional LSTM

    Oren Melamud;Jacob Goldberger;Ido Dagan

  • Word sense disambiguation using a second language monolingual corpus

    Ido Dagan;Alon Itai

  • Contextual word similarity and estimation from sparse data

    Ido Dagan;Shaul Marcus;Shaul Markovitch

  • Termight: Identifying and Translating Technical Terminology

    Ido Dagan;Ken Church

  • Recognizing textual entailment: Rational, evaluation and approaches – Erratum

    Ido Dagan;Bill Dolan;Bernardo Magnini;Dan Roth

  • Recognizing Textual Entailment: Models and Applications

    Ido Dagan;Dan Roth;Mark Sammons;Fabio Massimo Zanzotto

  • Do Supervised Distributional Methods Really Learn Lexical Inference Relations

    Omer Levy;Steffen Remus;Chris Biemann;Ido Dagan

  • Two Languages Are More Informative Than One

    Ido Dagan;Alon Itai;Ulrike Schwall

  • PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY

    Ido Dagan;Oren Glickman

  • Supervised Open Information Extraction

    Gabriel Stanovsky;Julian Michael;Luke Zettlemoyer;Ido Dagan

  • Robust Bilingual Word Alignment for Machine Aided Translation

    Ido Dagan;Kenneth Ward Church;Willian Gale

  • Directional distributional similarity for lexical inference

    Lili Kotlerman;Ido Dagan;Idan Szpektor;Maayan Zhitomirsky-geffet

  • Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference

    Tobias Falke;Leonardo F. R. Ribeiro;Prasetya Ajie Utama;Ido Dagan

  • Synthesis Lectures on Human Language Technologies

    Ido Dagan;Dan Roth;Mark Sammons;Fabio Massimo Zanzotto

Frequent Co-Authors

Jacob Goldberger
Jacob Goldberger Bar-Ilan University
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Jonathan Berant
Jonathan Berant Tel Aviv University
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Omer Levy
Omer Levy Deep Mind
Dan Roth
Dan Roth University of Pennsylvania
Moshe Koppel
Moshe Koppel Bar-Ilan University
Lillian Lee
Lillian Lee Cornell University
Fernando Pereira
Fernando Pereira Google (United States)

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