World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6164
World Ranking
10715
National Ranking
4477

Yulia Tsvetkov 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 Yulia Tsvetkov 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: 104 publications — 10th percentile

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

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

Yulia Tsvetkov 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 Yulia Tsvetkov 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Yulia Tsvetkov is affiliated with the University of Washington in the United States and is an active researcher in the field of computer science, with a focus on artificial intelligence and related subfields. Their body of work spans multiple specialized areas including artificial intelligence, computer vision and pattern recognition, information systems, communication, and language and linguistics.

Their research topics prominently cover:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Hate Speech and Cyberbullying Detection
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Explainable Artificial Intelligence (XAI)
  • Advanced Text Analysis Techniques

Yulia Tsvetkov has published extensively, with more than 200 publications in computer science. They have contributed significantly to frequent publication venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Transactions of the Association for Computational Linguistics
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • bioRxiv (Cold Spring Harbor Laboratory)

Notable recent papers include:

  • "SimVLM: Simple Visual Language Model Pretraining with Weak Supervision" (2021), published in arXiv (Cornell University)
  • "Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models" (2020), published in arXiv (Cornell University)
  • "Automating Moral Reasoning (Invited Paper)" (2022), published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting" (2023), published in arXiv (Cornell University)
  • "Medical Hallucination in Foundation Models and Their Impact on Healthcare" (2025), published in bioRxiv (Cold Spring Harbor Laboratory)

Collaborative efforts form an integral part of their research, with frequent coauthors including:

  • Shangbin Feng (28 collaborations)
  • Vidhisha Balachandran (23 collaborations)
  • Chan Young Park (18 collaborations)
  • Xiaochuang Han (17 collaborations)
  • Yejin Choi (14 collaborations)

Best Publications

  • Measuring Bias in Contextualized Word Representations

    Keita Kurita;Nidhi Vyas;Ayush Pareek;Alan W Black

  • Massively Multilingual Word Embeddings

    Waleed Ammar;George Mulcaire;Yulia Tsvetkov;Guillaume Lample

  • Style Transfer Through Back-Translation

    Shrimai Prabhumoye;Yulia Tsvetkov;Ruslan Salakhutdinov;Alan W Black

  • SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

    Zirui Wang;Jiahui Yu;Adams Wei Yu;Zihang Dai

  • Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

    Manaal Faruqui;Yulia Tsvetkov;Pushpendre Rastogi;Chris Dyer

  • Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings.

    Thomas Manzini;Lim Yao Chong;Alan W Black;Yulia Tsvetkov

  • Metaphor Detection with Cross-Lingual Model Transfer

    Yulia Tsvetkov;Leonid Boytsov;Anatole Gershman;Eric Nyberg

  • Evaluation of Word Vector Representations by Subspace Alignment

    Yulia Tsvetkov;Manaal Faruqui;Wang Ling;Guillaume Lample

  • Sparse Overcomplete Word Vector Representations

    Manaal Faruqui;Yulia Tsvetkov;Dani Yogatama;Chris Dyer

  • Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics.

    Artidoro Pagnoni;Vidhisha Balachandran;Yulia Tsvetkov

  • Not All Contexts Are Created Equal: Better Word Representations with Variable Attention

    Wang Ling;Yulia Tsvetkov;Silvio Amir;Ramon Fermandez

  • Morphological Inflection Generation Using Character Sequence to Sequence Learning

    Manaal Faruqui;Yulia Tsvetkov;Graham Neubig;Chris Dyer

  • Extraction of multi-word expressions from small parallel corpora

    Yulia Tsvetkov;Shuly Wintner

  • Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies

    Anjalie Field;Doron Kliger;Shuly Wintner;Jennifer Pan

  • Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.

    Luke Breitfeller;Emily Ahn;David Jurgens;Yulia Tsvetkov

  • Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions

    Xiaochuang Han;Byron C. Wallace;Yulia Tsvetkov

  • A Framework for the Computational Linguistic Analysis of Dehumanization.

    Julia Mendelsohn;Yulia Tsvetkov;Dan Jurafsky

  • Demoting Racial Bias in Hate Speech Detection

    Mengzhou Xia;Anjalie Field;Yulia Tsvetkov

  • Balancing Training for Multilingual Neural Machine Translation

    Xinyi Wang;Yulia Tsvetkov;Graham Neubig

  • Incorporating Dialectal Variability for Socially Equitable Language Identification

    David Jurgens;Yulia Tsvetkov;Dan Jurafsky

  • Proceedings of the Ninth International Conference on Language Resources and Evaluation

    Yulia Tsvetkov;Nathan Schneider;Dirk Hovy;Archna Bhatia

  • A Survey of Race, Racism, and Anti-Racism in NLP

    Anjalie Field;Su Lin Blodgett;Zeerak Waseem;Yulia Tsvetkov

Frequent Co-Authors

Chris Dyer
Chris Dyer Google (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University
Graham Neubig
Graham Neubig Carnegie Mellon University
Dan Jurafsky
Dan Jurafsky Stanford University
David Jurgens
David Jurgens University of Michigan–Ann Arbor
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Jeffrey P. Bigham
Jeffrey P. Bigham Carnegie Mellon University
Noah A. Smith
Noah A. Smith University of Washington
Lori Levin
Lori Levin Carnegie Mellon University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University

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