World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
39923
World Ranking
7337
National Ranking
3193

Lillian Lee 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 Lillian Lee 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: 86 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Lillian Lee 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 Lillian Lee 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: 44 D-Index — 48th percentile

48% 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 - ACM Fellow For contributions to natural language processing, sentiment analysis, and computational social science
  • 2002 - Fellow of Alfred P. Sloan Foundation

Overview

Lillian Lee is affiliated with Cornell University in the United States and has contributed to the field of computer science with a focus on natural language processing and related areas. Their work spans multiple subfields, including artificial intelligence, accounting, economics and econometrics, statistical and nonlinear physics, and computer vision and pattern recognition.

The primary topics of their research include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Corporate Finance and Governance
  • Private Equity and Venture Capital
  • State Capitalism and Financial Governance
  • Market Dynamics and Volatility

Frequent coauthors collaborating with Lillian Lee are:

  • Tianze Shi
  • Bo Pang
  • Moade Shubita
  • Jack Hessel
  • Vivian Nguyen

Publications by Lillian Lee appear in multiple venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Technological Forecasting and Social Change
  • Energy Economics
  • Proceedings of the International AAAI Conference on Web and Social Media

Selected recent papers include:

  • Impact of Paris Agreement on financing strategy: Evidence from global FPSO industry, 2023, Technological Forecasting and Social Change
  • Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • The electric shock: Causes and consequences of electricity prices in the United Kingdom, 2023, Energy Economics
  • Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest, 2022, arXiv (Cornell University)
  • On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries, 2020, arXiv (Cornell University)

Lillian Lee has been recognized with awards such as the ACM Fellow in 2018 for contributions to natural language processing, sentiment analysis, and computational social science, and was named a Fellow of the Alfred P. Sloan Foundation in 2002.

Best Publications

  • Thumbs up? Sentiment Classification using Machine Learning Techniques

    Bo Pang;Lillian Lee;Shivakumar Vaithyanathan

  • Opinion Mining and Sentiment Analysis

    Bo Pang;Lillian Lee

  • A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

    Bo Pang;Lillian Lee

  • Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales

    Bo Pang;Lillian Lee

  • DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS

    Fernando Pereira;Naftali Tishby;Lillian Lee

  • Measures of Distributional Similarity

    Lillian Lee

  • Get out the vote: Determining support or opposition from Congressional floor-debate transcripts

    Matt Thomas;Bo Pang;Lillian Lee

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

    Regina Barzilay;Lillian Lee

  • Similarity-Based Models of Word Cooccurrence Probabilities

    Ido Dagan;Lillian Lee;Fernando C. N. Pereira

  • User-level sentiment analysis incorporating social networks

    Chenhao Tan;Lillian Lee;Jie Tang;Long Jiang

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

    Regina Barzilay;Lillian Lee

  • Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs

    Cristian Danescu-Niculescu-Mizil;Lillian Lee

  • Echoes of power: language effects and power differences in social interaction

    Cristian Danescu-Niculescu-Mizil;Lillian Lee;Bo Pang;Jon Kleinberg

  • How opinions are received by online communities: a case study on amazon.com helpfulness votes

    Cristian Danescu-Niculescu-Mizil;Gueorgi Kossinets;Jon Kleinberg;Lillian Lee

  • Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions

    Chenhao Tan;Vlad Niculae;Cristian Danescu-Niculescu-Mizil;Lillian Lee

  • PageRank without hyperlinks: structural re-ranking using links induced by language models

    Oren Kurland;Lillian Lee

  • PageRank without hyperlinks: Structural reranking using links induced by language models

    Oren Kurland;Lillian Lee

  • Similarity-Based Methods for Word Sense Disambiguation

    Ido Dagan;Lillian Lee;Fernando Pereira

  • On the effectiveness of the skew divergence for statistical language analysis

    Lillian Lee

  • The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter

    Chenhao Tan;Lillian Lee;Bo Pang

Frequent Co-Authors

Jon Kleinberg
Jon Kleinberg Cornell University
Fernando Pereira
Fernando Pereira Google (United States)
David Mimno
David Mimno Cornell University
Ido Dagan
Ido Dagan Bar-Ilan University
Shivakumar Vaithyanathan
Shivakumar Vaithyanathan IBM (United States)
Ming Zhou
Ming Zhou Langboat Technology
Liang Huang
Liang Huang Oregon State University
Hal Daumé
Hal Daumé University of Maryland, College Park
Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park

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Related Online Degrees & Career Pathways

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