World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
21730
World Ranking
6980
National Ranking
3057

Kevin Gimpel 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 Kevin Gimpel 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: 149 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Kevin Gimpel 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 Kevin Gimpel 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Kevin Gimpel is affiliated with the Toyota Technological Institute at Chicago in the United States. The primary discipline of their work lies within Computer Science, with a significant focus on Artificial Intelligence. Other subfields include Computer Vision and Pattern Recognition, Economics and Econometrics, Information Systems, and Signal Processing.

The body of research produced by Kevin Gimpel includes contributions to various topics, primarily centered on Topic Modeling and Natural Language Processing Techniques. Additional research interests include Text Readability and Simplification, Speech Recognition and Synthesis, Multimodal Machine Learning Applications, Advanced Text Analysis Techniques, and Text and Document Classification Technologies.

Recent publications by Kevin Gimpel encompass several peer-reviewed venues and preprint archives. Some of the notable papers include:

  • "A baseline for detecting misclassified and out-of-distribution examples in neural networks," 2025, published in arXiv (Cornell University)
  • "SummScreen: A Dataset for Abstractive Screenplay Summarization," 2022, presented at the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "SummScreen: A Dataset for Abstractive Screenplay Summarization," 2021, archived in arXiv (Cornell University)
  • "Chess as a Testbed for Language Model State Tracking," 2022, included in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions," 2020, also part of the Proceedings of the AAAI Conference on Artificial Intelligence

Kevin Gimpel has frequently collaborated with a range of researchers, with several repeat co-authorships. Among the most frequent collaborators are:

  • Karen Livescu
  • Mingda Chen
  • Zewei Chu
  • Sam Wiseman
  • Haoyue Shi

Their work has been disseminated through multiple key publication venues. The majority of their papers appear in arXiv (Cornell University), contributing to 27 publications. Additional venues include the Proceedings of the AAAI Conference on Artificial Intelligence with 3 publications, and the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) with 2 publications.

Best Publications

  • ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

    Zhenzhong Lan;Mingda Chen;Sebastian Goodman;Kevin Gimpel

  • Gaussian Error Linear Units (GELUs)

    Dan Hendrycks;Kevin Gimpel

  • A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

    Dan Hendrycks;Kevin Gimpel

  • Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

    Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

  • Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units

    Dan Hendrycks;Kevin Gimpel

  • Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

    Olutobi Owoputi;Brendan O'Connor;Chris Dyer;Kevin Gimpel

  • ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

    Zhenzhong Lan;Mingda Chen;Sebastian Goodman;Kevin Gimpel

  • Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

    Mohit Iyyer;John Wieting;Kevin Gimpel;Luke Zettlemoyer

  • Towards Universal Paraphrastic Sentence Embeddings

    John Wieting;Mohit Bansal;Kevin Gimpel;Karen Livescu

  • Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks

    Hua He;Kevin Gimpel;Jimmy Lin

  • Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

    Dan Hendrycks;Mantas Mazeika;Duncan Wilson;Kevin Gimpel

  • Tailoring Continuous Word Representations for Dependency Parsing

    Mohit Bansal;Kevin Gimpel;Karen Livescu

  • ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations

    John Wieting;Kevin Gimpel

  • From Paraphrase Database to Compositional Paraphrase Model and Back

    John Wieting;Mohit Bansal;Kevin Gimpel;Karen Livescu

  • Movie Reviews and Revenues: An Experiment in Text Regression

    Mahesh Joshi;Dipanjan Das;Kevin Gimpel;Noah A. Smith

  • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

    Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

  • Charagram: Embedding Words and Sentences via Character n-grams

    John Wieting;Mohit Bansal;Kevin Gimpel;Karen Livescu

  • Commonsense Knowledge Base Completion

    Xiang Li;Aynaz Taheri;Lifu Tu;Kevin Gimpel

  • Deep Multilingual Correlation for Improved Word Embeddings

    Ang Lu;Weiran Wang;Mohit Bansal;Kevin Gimpel

  • Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.

    John Wieting;Taylor Berg-Kirkpatrick;Kevin Gimpel;Graham Neubig

  • Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions

    Kevin Gimpel;Noah A. Smith

Frequent Co-Authors

Karen Livescu
Karen Livescu Toyota Technological Institute at Chicago
Noah A. Smith
Noah A. Smith University of Washington
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
David McAllester
David McAllester Toyota Technological Institute at Chicago
Chris Dyer
Chris Dyer Google (United States)
Graham Neubig
Graham Neubig Carnegie Mellon University
Taylor Berg-Kirkpatrick
Taylor Berg-Kirkpatrick University of California, San Diego
Dipanjan Das
Dipanjan Das Google (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Luke Zettlemoyer
Luke Zettlemoyer University of Washington

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