World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
9066
World Ranking
12875
National Ranking
5194

Yoav Artzi 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 Yoav Artzi 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Yoav Artzi 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 Yoav Artzi 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Yoav Artzi is affiliated with Cornell University in the United States and has made contributions primarily in the field of computer science. Their research spans multiple subfields including artificial intelligence, computer vision and pattern recognition, social psychology, geography, planning and development, and experimental and cognitive psychology.

The scientist's main research topics cover a range of computational and linguistic areas such as:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Speech Recognition and Synthesis
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques

Research outputs include numerous publications, with a significant number appearing on arXiv through Cornell University, alongside contributions to other venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Computer Speech & Language
  • Transactions of the Association for Computational Linguistics

Recent notable papers by Yoav Artzi include:

  • "Spoken language interaction with robots: Recommendations for future research" (2021, Computer Speech & Language)
  • "Revisiting Few-sample BERT Fine-tuning" (2020, arXiv (Cornell University))
  • "Evaluating Models' Local Decision Boundaries via Contrast Sets" (2020, arXiv (Cornell University))
  • "A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution" (2021, arXiv (Cornell University))
  • "Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition" (2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP))

Frequent collaborators of the scientist include Kilian Q. Weinberger, Alane Suhr, Noriyuki Kojima, Kianté Brantley, and Valts Blukis.

Best Publications

  • BERTScore: Evaluating Text Generation with BERT

    Tianyi Zhang;Varsha Kishore;Felix Wu;Kilian Q. Weinberger

  • BERTScore: Evaluating Text Generation with BERT

    Tianyi Zhang;Varsha Kishore;Felix Wu;Kilian Q. Weinberger

  • Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

    Max Grusky;Mor Naaman;Yoav Artzi

  • Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions

    Yoav Artzi;Luke Zettlemoyer

  • A Corpus for Reasoning about Natural Language Grounded in Photographs

    Alane Suhr;Stephanie Zhou;Ally Zhang;Iris Zhang

  • Learning to Automatically Solve Algebra Word Problems

    Nate Kushman;Yoav Artzi;Luke Zettlemoyer;Regina Barzilay

  • Scaling Semantic Parsers with On-the-Fly Ontology Matching

    Tom Kwiatkowski;Eunsol Choi;Yoav Artzi;Luke Zettlemoyer

  • Evaluating Models’ Local Decision Boundaries via Contrast Sets

    Matt Gardner;Yoav Artzi;Victoria Basmov;Jonathan Berant

  • TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

    Howard Chen;Alane Suhr;Dipendra Misra;Noah Snavely

  • Simple Recurrent Units for Highly Parallelizable Recurrence.

    Tao Lei;Yu Zhang;Sida I. Wang;Hui Dai

  • A Corpus of Natural Language for Visual Reasoning.

    Alane Suhr;Mike Lewis;James Yeh;Yoav Artzi

  • Revisiting Few-sample BERT Fine-tuning

    Tianyi Zhang;Felix Wu;Arzoo Katiyar;Kilian Q Weinberger

  • Mapping Instructions and Visual Observations to Actions with Reinforcement Learning.

    Dipendra Kumar Misra;John Langford;Yoav Artzi

  • Broad-coverage CCG Semantic Parsing with AMR

    Yoav Artzi;Kenton Lee;Luke Zettlemoyer

  • Training RNNs as Fast as CNNs

    Tao Lei;Yu Zhang;Yoav Artzi

  • Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction

    Dipendra Kumar Misra;Andrew Bennett;Valts Blukis;Eyvind Niklasson

  • Bootstrapping Semantic Parsers from Conversations

    Yoav Artzi;Luke Zettlemoyer

  • Predicting Responses to Microblog Posts

    Yoav Artzi;Patrick Pantel;Michael Gamon

  • CHALET: Cornell House Agent Learning Environment.

    Claudia Yan;Dipendra Kumar Misra;Andrew Bennett;Aaron Walsman

  • Context-dependent Semantic Parsing for Time Expressions

    Kenton Lee;Yoav Artzi;Jesse Dodge;Luke Zettlemoyer

  • Evaluating Models' Local Decision Boundaries via Contrast Sets.

    Matt Gardner;Yoav Artzi;Victoria Basmova;Jonathan Berant

  • Spoken language interaction with robots: Recommendations for future research

    Matthew Marge;Carol Y. Espy-Wilson;Nigel G. Ward;Abeer Alwan

  • Learning Distributions over Logical Forms for Referring Expression Generation

    Nicholas FitzGerald;Yoav Artzi;Luke Zettlemoyer

  • Evaluating NLP Models via Contrast Sets

    Matt Gardner;Yoav Artzi;Victoria Basmova;Jonathan Berant

  • Event Detection and Factuality Assessment with Non-Expert Supervision

    Kenton Lee;Yoav Artzi;Yejin Choi;Luke Zettlemoyer

Frequent Co-Authors

Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Yejin Choi
Yejin Choi Stanford University
Dieter Fox
Dieter Fox University of Washington
Noah Snavely
Noah Snavely Cornell University
Mor Naaman
Mor Naaman Cornell University
Kenton Lee
Kenton Lee Google (United States)
Jonathan Berant
Jonathan Berant Tel Aviv University
Noah A. Smith
Noah A. Smith University of Washington
Sameer Singh
Sameer Singh University of California, Irvine

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