World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
28343
World Ranking
5998
National Ranking
2699

Christopher Potts 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 Christopher Potts 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Christopher Potts 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 Christopher Potts sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Christopher Potts is affiliated with Stanford University in the United States and specializes in the field of computer science. Their research focuses primarily on artificial intelligence, with significant contributions in related subfields including computer vision and pattern recognition, information systems, electrical and electronic engineering, and experimental and cognitive psychology.

The main topics of Christopher Potts's work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Explainable Artificial Intelligence (XAI)
  • Speech and Dialogue Systems
  • Bayesian Modeling and Causal Inference

Christopher Potts has authored and co-authored numerous papers with recent notable publications including:

  • On the Opportunities and Risks of Foundation Models, 2021, arXiv (Cornell University)
  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, 2022, arXiv (Cornell University)
  • ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Sentiment Flow Through Hyperlink Networks, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • A data-driven framework for mapping domains of human neurobiology, 2021, Nature Neuroscience

Their frequent publication venues include:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Proceedings of the International AAAI Conference on Web and Social Media
  • SSRN Electronic Journal

Christopher Potts has collaborated extensively with several researchers including Omar Khattab, Zhengxuan Wu, Atticus Geiger, Christopher D. Manning, and Matei Zaharia.

Best Publications

  • Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

    Richard Socher;Alex Perelygin;Jean Wu;Jason Chuang

  • Learning Word Vectors for Sentiment Analysis

    Andrew L. Maas;Raymond E. Daly;Peter T. Pham;Dan Huang

  • A large annotated corpus for learning natural language inference

    Samuel R. Bowman;Gabor Angeli;Christopher Potts;Christopher D. Manning

  • The logic of conventional implicatures

    Christopher Potts

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • No country for old members: user lifecycle and linguistic change in online communities

    Cristian Danescu-Niculescu-Mizil;Robert West;Dan Jurafsky;Jure Leskovec

  • A computational approach to politeness with application to social factors

    Cristian Danescu-Niculescu-Mizil;Moritz Sudhof;Dan Jurafsky;Jure Leskovec

  • A Fast Unified Model for Parsing and Sentence Understanding

    Samuel R. Bowman;Jon Gauthier;Abhinav Rastogi;Raghav Gupta

  • Presupposition and Implicature

    Christopher Potts

  • Perspective-shifting with appositives and expressives

    Jesse A. Harris;Christopher Potts

  • Harmonic grammar with linear programming: From linear systems to linguistic typology

    Christopher Potts;Joe Pater;Karen Jesney;Rajesh Bhatt

  • THE SYNTAX AND SEMANTICS OF AS-PARENTHETICALS

    Christopher Potts

  • Exploiting Social Network Structure for Person-to-Person Sentiment Analysis

    Robert West;Hristo S. Paskov;Jure Leskovec;Christopher Potts

  • Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness

    Amir Goldberg;Sameer B. Srivastava;V. Govind Manian;William Monroe

  • ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

    Keshav Santhanam;Omar Khattab;Jon Saad-Falcon;Christopher Potts

  • The Pragmatic Values of Evidential Sentences

    Christopher Davis;Christopher Potts;Margaret Speas

  • Conventional Implicatures: A Distinguished Class of Meanings

    Christopher Potts

  • Dynabench: Rethinking Benchmarking in NLP.

    Douwe Kiela;Max Bartolo;Yixin Nie;Divyansh Kaushik

  • Crowdsourcing and language studies: the new generation of linguistic data

    Robert Munro;Steven Bethard;Victor Kuperman;Vicky Tzuyin Lai

  • The Life and Death of Discourse Entities: Identifying Singleton Mentions

    Marta Recasens;Marie-Catherine de Marneffe;Christopher Potts

  • Did it happen? the pragmatic complexity of veridicality assessment

    Marie-Catherine de Marneffe;Christopher D. Manning;Christopher Potts

  • Into the Conventional‐Implicature Dimension

    Christopher Potts

Frequent Co-Authors

Christopher D. Manning
Christopher D. Manning Stanford University
Samuel R. Bowman
Samuel R. Bowman New York University
Noah D. Goodman
Noah D. Goodman Stanford University
Dan Jurafsky
Dan Jurafsky Stanford University
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University
Jure Leskovec
Jure Leskovec Stanford University
Lauri Karttunen
Lauri Karttunen Stanford University
Michael C. Frank
Michael C. Frank Stanford University
Amit Etkin
Amit Etkin Stanford University
Douwe Kiela
Douwe Kiela Stanford University

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