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Hendrik Strobelt 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 Hendrik Strobelt 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+

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

Hendrik Strobelt 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 Hendrik Strobelt 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+

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

Overview

Hendrik Strobelt is a researcher affiliated with IBM in the United States, specializing in computer science. Their research work is primarily focused on artificial intelligence and related subfields, including computer vision and pattern recognition, molecular biology, computational theory and mathematics, and computer networks and communications.

The main topics explored in Strobelt's research encompass:

  • Topic Modeling
  • Explainable Artificial Intelligence (XAI)
  • Natural Language Processing Techniques
  • Data Visualization and Analytics
  • Machine Learning and Data Classification
  • Adversarial Robustness in Machine Learning
  • Multimodal Machine Learning Applications

Strobelt has authored publications in several scholarly venues, with frequent contributions to the following journals and conference proceedings:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Computer Graphics and Applications
  • Proceedings of the National Academy of Sciences
  • Science Advances

Recent papers authored or coauthored by Strobelt include:

  • "Understanding the role of individual units in a deep neural network," 2020, Proceedings of the National Academy of Sciences
  • "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions," 2021, Science Advances
  • "Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation With Large Language Models," 2022, IEEE Transactions on Visualization and Computer Graphics
  • "The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics," 2021, arXiv (Cornell University)
  • "ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion," 2020, IEEE Transactions on Visualization and Computer Graphics

Their frequent collaborators include:

  • Benjamin Hoover
  • Hanspeter Pfister
  • Angie Boggust
  • Duen Horng Chau
  • Mennatallah El-Assady

Best Publications

  • UpSet: Visualization of Intersecting Sets.

    Alexander Lex;Nils Gehlenborg;Hendrik Strobelt;Romain Vuillemot

  • HiGlass: web-based visual exploration and analysis of genome interaction maps

    Peter Kerpedjiev;Nezar Abdennur;Fritz Lekschas;Chuck McCallum

  • LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

    Hendrik Strobelt;Sebastian Gehrmann;Hanspeter Pfister;Alexander M. Rush

  • Semantic photo manipulation with a generative image prior

    David Bau;Hendrik Strobelt;William Peebles;Jonas Wulff

  • GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

    David Bau;Jun-Yan Zhu;Hendrik Strobelt;Bolei Zhou

  • Understanding the role of individual units in a deep neural network.

    David Bau;Jun-Yan Zhu;Hendrik Strobelt;Agata Lapedriza

  • Seeing What a GAN Cannot Generate

    David Bau;Jun-Yan Zhu;Jonas Wulff;William Peebles

  • Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

    Payel Das;Payel Das;Tom Sercu;Tom Sercu;Kahini Wadhawan;Inkit Padhi

  • Extraction of organic chemistry grammar from unsupervised learning of chemical reactions.

    Philippe Schwaller;Philippe Schwaller;Benjamin Hoover;Jean-Louis Reymond;Hendrik Strobelt

  • GLTR: Statistical Detection and Visualization of Generated Text

    Sebastian Gehrmann;Hendrik Strobelt;Alexander M. Rush

  • S eq 2s eq -V is : A Visual Debugging Tool for Sequence-to-Sequence Models

    Hendrik Strobelt;Sebastian Gehrmann;Michael Behrisch;Adam Perer

  • exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models

    Benjamin Hoover;Hendrik Strobelt;Sebastian Gehrmann

  • The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

    Sebastian Gehrmann;Tosin Adewumi;Karmanya Aggarwal;Pawan Sasanka Ammanamanchi

  • Document Cards: A Top Trumps Visualization for Documents

    H. Strobelt;D. Oelke;C. Rohrdantz;A. Stoffel

  • Interactive Level-of-Detail Rendering of Large Graphs

    M. Zinsmaier;U. Brandes;O. Deussen;H. Strobelt

  • Gene mention normalization and interaction extraction with context models and sentence motifs

    Jörg Hakenberg;Jörg Hakenberg;Jörg Hakenberg;Conrad Plake;Loic Royer;Hendrik Strobelt

  • Seeing What a GAN Cannot Generate

    David Bau;Jun-Yan Zhu;Jonas Wulff;William Peebles

  • Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives

    H. Strobelt;M. Spicker;A. Stoffel;D. Keim

  • NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity

    Ali K. Al-Awami;Johanna Beyer;Hendrik Strobelt;Narayanan Kasthuri

  • exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models

    Benjamin Hoover;Hendrik Strobelt;Sebastian Gehrmann

Frequent Co-Authors

Hanspeter Pfister
Hanspeter Pfister Harvard University
Alexander M. Rush
Alexander M. Rush Cornell University
Jun-Yan Zhu
Jun-Yan Zhu Carnegie Mellon University
Bolei Zhou
Bolei Zhou University of California, Los Angeles
David Bau
David Bau Northeastern University
Oliver Deussen
Oliver Deussen University of Konstanz
Adam Perer
Adam Perer Carnegie Mellon University
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)

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