World's Best Scientists 2026 revealed!
Regina Barzilay

Regina Barzilay

D-Index & Metrics

Computer Science

D-Index
97
Citations
35677
World Ranking
426
National Ranking
237

Regina Barzilay 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 Regina Barzilay 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: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Regina Barzilay 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 Regina Barzilay 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: 97 D-Index — 97th percentile

97% 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

  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to Natural Language Processing.
  • 2017 - Fellow of the MacArthur Foundation

Overview

Regina Barzilay is affiliated with MIT in the United States and has made contributions spanning computer science and biochemistry, genetics, and molecular biology. Their research integrates artificial intelligence techniques with applications in molecular biology and drug discovery.

Their publication record includes work in various research fields with particular emphasis on artificial intelligence, molecular biology, computational theory and mathematics, materials chemistry, and radiology, nuclear medicine, and imaging. Key research topics covered in their work include computational drug discovery methods, machine learning in materials science, topic modeling, protein structure and dynamics, RNA and protein synthesis mechanisms, machine learning and data classification, and natural language processing techniques.

Some of the recent papers authored or co-authored by Regina Barzilay are:

  • A Deep Learning Approach to Antibiotic Discovery, 2020, Cell
  • De novo design of protein structure and function with RFdiffusion, 2023, Nature
  • Applications of Deep Learning in Molecule Generation and Molecular Property Prediction, 2020, Accounts of Chemical Research
  • A Deep Learning Approach to Antibiotic Discovery, 2020, Cell
  • DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking, 2022, arXiv (Cornell University)

Frequent co-authors include:

  • Tommi Jaakkola
  • Wengong Jin
  • Connor W. Coley
  • Adam Yala
  • Jason Yim

Research publications by Barzilay appear often in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Information and Modeling
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Chemical Biology

Regina Barzilay's academic distinctions include being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2018 for contributions to natural language processing and a Fellow of the MacArthur Foundation in 2017.

Best Publications

  • A Deep Learning Approach to Antibiotic Discovery

    Jonathan M. Stokes;Kevin Yang;Kyle Swanson;Wengong Jin

  • Analyzing Learned Molecular Representations for Property Prediction.

    Kevin Yang;Kyle Swanson;Wengong Jin;Connor W. Coley

  • Using lexical chains for text summarization

    Regina Barzilay;Michael Elhadad

  • Modeling local coherence: An entity-based approach

    Regina Barzilay;Regina Barzilay;Mirella Lapata

  • Junction Tree Variational Autoencoder for Molecular Graph Generation

    Wengong Jin;Regina Barzilay;Tommi S. Jaakkola

  • Prediction of Organic Reaction Outcomes Using Machine Learning

    Connor W. Coley;Regina Barzilay;Tommi S. Jaakkola;William H. Green

  • Rationalizing Neural Predictions

    Tao Lei;Regina Barzilay;Tommi S. Jaakkola

  • A graph-convolutional neural network model for the prediction of chemical reactivity

    Connor W. Coley;Wengong Jin;Luke Rogers;Timothy F. Jamison

  • Extracting Paraphrases from a Parallel Corpus

    Regina Barzilay;Kathleen R. McKeown

  • Style Transfer from Non-Parallel Text by Cross-Alignment

    Tianxiao Shen;Tao Lei;Regina Barzilay;Tommi S. Jaakkola

  • Learning to paraphrase: an unsupervised approach using multiple-sequence alignment

    Regina Barzilay;Lillian Lee

  • Information Fusion in the Context of Multi-Document Summarization

    Regina Barzilay;Kathleen R. McKeown;Michael Elhadad

  • Inferring strategies for sentence ordering in multidocument news summarization

    Regina Barzilay;Noemie Elhadad;Kathleen R. McKeown

  • Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

    Connor W. Coley;Regina Barzilay;William H. Green;Tommi S. Jaakkola

  • Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization

    Regina Barzilay;Lillian Lee

  • Multiple Aspect Ranking Using the Good Grief Algorithm

    Benjamin Snyder;Regina Barzilay

  • Sentence Fusion for Multidocument News Summarization

    Regina Barzilay;Kathleen R. McKeown

  • Tracking and summarizing news on a daily basis with Columbia's Newsblaster

    Kathleen R. McKeown;Regina Barzilay;David Evans;Vasileios Hatzivassiloglou

  • Learning to Automatically Solve Algebra Word Problems

    Nate Kushman;Yoav Artzi;Luke Zettlemoyer;Regina Barzilay

  • Reinforcement Learning for Mapping Instructions to Actions

    S.R.K. Branavan;Harr Chen;Luke Zettlemoyer;Regina Barzilay

  • Generative models for graph-based protein design

    John Ingraham;Vikas Kamur Garg;Regina Barzilay;Tommi S Jaakkola

Frequent Co-Authors

Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Jacob Eisenstein
Jacob Eisenstein Google (United States)
Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Mirella Lapata
Mirella Lapata University of Edinburgh
Constance D. Lehman
Constance D. Lehman Harvard University
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Judy Garber
Judy Garber Harvard University

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