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Computer Science

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34
Citations
6754
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Adam Trischler 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 Adam Trischler 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: 75 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Adam Trischler 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 Adam Trischler 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: 34 D-Index — 16th percentile

16% 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

  • 2025 - Research.com Rising Stars Award

Overview

Adam Trischler is a researcher affiliated with Microsoft in the United States, specializing primarily in Computer Science. Their work encompasses a broad range of topics, with a significant emphasis on Artificial Intelligence, as reflected in 33 publications within this subfield. Additional areas of research include Computer Vision and Pattern Recognition, Information Systems, and applications of Artificial Intelligence in healthcare and education.

Trischler's research contributions are frequently disseminated through several publication venues. The majority of their work appears in arXiv (Cornell University), with 14 publications, complemented by papers in the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the ACM on Human-Computer Interaction.

Their research topics cover a wide array of subjects:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Software Engineering Research
  • Interpreting and Communication in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Academic Writing and Publishing

Among the recent papers authored or co-authored by Trischler are:

  • "Learning Dynamic Belief Graphs to Generalize on Text-Based Games," 2020, arXiv (Cornell University)
  • "Assessing Factoid Question-Answer Generation for Portuguese (Short Paper)," 2020, arXiv (Cornell University)
  • "ALFWorld: Aligning Text and Embodied Environments for Interactive Learning," 2020, arXiv (Cornell University)
  • "Role-Wise Data Augmentation for Knowledge Distillation," 2020, arXiv (Cornell University)
  • "Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Trischler has collaborated frequently with several researchers, including Alexandra Olteanu, Xingdi Yuan, Su Lin Blodgett, Kaheer Suleman, and Alessandro Sordoni. Their collaborative efforts have contributed to multiple published works, indicating active engagement in research networks and interdisciplinary projects.

Best Publications

  • Learning deep representations by mutual information estimation and maximization

    R. Devon Hjelm;Alex Fedorov;Samuel Lavoie-Marchildon;Karan Grewal

  • NewsQA: A Machine Comprehension Dataset

    Adam Trischler;Tong Wang;Xingdi Yuan;Justin Harris

  • An Empirical Study of Example Forgetting during Deep Neural Network Learning

    Mariya Toneva;Alessandro Sordoni;Remi Tachet des Combes;Adam Trischler

  • Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

    Sandeep Subramanian;Adam Trischler;Yoshua Bengio;Christopher J Pal

  • Rapid Adaptation with Conditionally Shifted Neurons.

    Tsendsuren Munkhdalai;Xingdi Yuan;Soroush Mehri;Adam Trischler

  • Machine Comprehension by Text-to-Text Neural Question Generation

    Xingdi Yuan;Tong Wang;Caglar Gulcehre;Alessandro Sordoni

  • TextWorld: A Learning Environment for Text-Based Games

    Marc-Alexandre Côté;Ákos Kádár;Xingdi Yuan;Ben Kybartas

  • Boundary-Seeking Generative Adversarial Networks

    R Devon Hjelm;Athul Paul Jacob;Tong Che;Adam Trischler

  • TextWorld: A Learning Environment for Text-based Games

    Marc-Alexandre Côté;Ákos Kádár;Xingdi Yuan;Ben Kybartas

  • Neural models for key phrase detection and question generation

    Sandeep Subramanian;Tong Wang;Xingdi Yuan;Saizheng Zhang

  • FigureQA: An Annotated Figure Dataset for Visual Reasoning

    Samira Ebrahimi Kahou;Vincent Michalski;Adam Atkinson;Akos Kadar

  • Iterative alternating neural attention for machine reading

    Alessandro Sordoni;Philip Bachman;Adam Peter Trischler

  • Learning algorithms for active learning

    Philip Bachman;Alessandro Sordoni;Adam Trischler

  • Exploring and Predicting Transferability across NLP Tasks

    Tu Vu;Tong Wang;Tsendsuren Munkhdalai;Alessandro Sordoni

  • FigureQA: An Annotated Figure Dataset for Visual Reasoning

    Samira Ebrahimi Kahou;Adam Atkinson;Vincent Michalski;Ákos Kádár

  • Natural language comprehension with the epireader

    Adam Trischler;Zheng Ye;Xingdi Yuan;Philip Bachman

  • Synthesis of recurrent neural networks for dynamical system simulation

    Adam P. Trischler;Gabriele M.T. D'Eleuterio

  • A Joint Model for Question Answering and Question Generation

    Tong Wang;Xingdi (Eric) Yuan;Adam Trischler

  • Machine Comprehension by Text-to-Text Neural Question Generation

    Xingdi Yuan;Tong Wang;Caglar Gulcehre;Alessandro Sordoni

  • Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.

    Rajarshi Das;Tsendsuren Munkhdalai;Xingdi Yuan;Adam Trischler

  • One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases.

    Xingdi Yuan;Tong Wang;Rui Meng;Khushboo Thaker

Frequent Co-Authors

Yoshua Bengio
Yoshua Bengio University of Montreal
Chris Pal
Chris Pal Polytechnique Montréal
Caglar Gulcehre
Caglar Gulcehre DeepMind (United Kingdom)
Pascal Poupart
Pascal Poupart University of Waterloo
Yi Tay
Yi Tay Google (United States)
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Joelle Pineau
Joelle Pineau McGill University
Fernando Diaz
Fernando Diaz Microsoft (United States)
Kyunghyun Cho
Kyunghyun Cho New York University
Geoffrey J. Gordon
Geoffrey J. Gordon Carnegie Mellon University

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