World's Best Scientists 2026 revealed!
Kathleen R. McKeown

Kathleen R. McKeown

D-Index & Metrics

Computer Science

D-Index
80
Citations
28752
World Ranking
1070
National Ranking
575

Kathleen R. McKeown 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 Kathleen R. McKeown 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: 386 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Kathleen R. McKeown 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 Kathleen R. McKeown 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: 80 D-Index — 93rd percentile

93% 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

  • 2019 - Fellow of the American Academy of Arts and Sciences
  • 2003 - ACM Fellow For contributions to natural language processing.
  • 1994 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to natural language generation and integration of language and graphics.

Overview

Kathleen R. McKeown is affiliated with Columbia University in the United States and is active in the field of Computer Science with a focus on Artificial Intelligence and related subfields. The primary domain of their research covers topics such as Topic Modeling, Natural Language Processing Techniques, and Advanced Text Analysis Techniques. Their work also intersects with areas including Speech Recognition and Synthesis, Sentiment Analysis and Opinion Mining, Text and Document Classification Technologies, and Hate Speech and Cyberbullying Detection.

Their recent publications include:

  • Benchmarking Large Language Models for News Summarization, 2024, Transactions of the Association for Computational Linguistics
  • Benchmarking Large Language Models for News Summarization, 2023, arXiv (Cornell University)
  • Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Contextual Analysis of Social Media, 2020, Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Frequent co-authors in their collaborations include:

  • Faisal Ladhak
  • Melanie Subbiah
  • Yu Zhou
  • Elsbeth Turcan
  • Desmond U. Patton

Kathleen R. McKeown has published extensively in several venues, most notably:

  • arXiv (Cornell University) with 66 publications
  • Harvard Dataverse with 5 publications
  • Transactions of the Association for Computational Linguistics with 2 publications
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 2 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 2 publications

Their contributions have been recognized through several awards, including:

  • Fellow of the American Academy of Arts and Sciences, 2019
  • ACM Fellow, 2003, for contributions to natural language processing
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 1994, for contributions to natural language generation and integration of language and graphics

Best Publications

  • Predicting the Semantic Orientation of Adjectives

    Vasileios Hatzivassiloglou;Kathleen R. McKeown

  • Text generation

    Kathleen R. McKeown

  • Text generation: using discourse strategies and focus constraints to generate natural language text

    Kathleen R. McKeown

  • Introduction to the special issue on summarization

    Dragomir R. Radev;Eduard Hovy;Kathleen McKeown

  • Translating collocations for bilingual lexicons: a statistical approach

    Frank Smadja;Kathleen R. McKeown;Vasileios Hatzivassiloglou

  • A SURVEY OF TEXT SUMMARIZATION TECHNIQUES

    Ani Nenkova;Kathleen R. McKeown

  • Extracting Paraphrases from a Parallel Corpus

    Regina Barzilay;Kathleen R. McKeown

  • Generating natural language summaries from multiple on-line sources

    Dragomir R. Radev;Kathleen R. McKeown

  • Information Fusion in the Context of Multi-Document Summarization

    Regina Barzilay;Kathleen R. McKeown;Michael Elhadad

  • Generating summaries of multiple news articles

    Kathleen McKeown;Dragomir R. Radev

  • Inferring strategies for sentence ordering in multidocument news summarization

    Regina Barzilay;Noemie Elhadad;Kathleen R. McKeown

  • Discourse Segmentation of Multi-Party Conversation

    Michel Galley;Kathleen R. McKeown;Eric Fosler-Lussier;Hongyan Jing

  • Automating the generation of coordinated multimedia explanations

    Steven K. Feiner;Kathleen R. McKeown

  • Discourse strategies for generating natural-language text

    Kathleen R. McKeown

  • Sentence Fusion for Multidocument News Summarization

    Regina Barzilay;Kathleen R. McKeown

  • Extracting Social Networks from Literary Fiction

    David Elson;Nicholas Dames;Kathleen McKeown

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

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

  • The Pyramid Method: Incorporating human content selection variation in summarization evaluation

    Ani Nenkova;Rebecca Passonneau;Kathleen McKeown

  • Cut and paste based text summarization

    Hongyan Jing;Kathleen R. McKeown

  • Towards multidocument summarization by reformulation: progress and prospects

    Kathleen R. McKeown;Judith L. Klavans;Vasileios Hatzivassiloglou;Regina Barzilay

Frequent Co-Authors

Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Ani Nenkova
Ani Nenkova Adobe Systems (United States)
Min-Yen Kan
Min-Yen Kan National University of Singapore
Steven Feiner
Steven Feiner Columbia University
Rebecca J. Passonneau
Rebecca J. Passonneau Pennsylvania State University
Dragomir R. Radev
Dragomir R. Radev Yale University
Julia Hirschberg
Julia Hirschberg Columbia University
Owen Rambow
Owen Rambow Stony Brook University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree opens doors to a variety of related fields and educational options. Many students interested in tech consider best online degrees that offer the flexibility of remote learning while leading to rewarding careers. Online programs often focus on practical skills and offer accelerated paths to graduation, making them ideal for working professionals and busy students.

Specializations like Artificial Intelligence are increasingly popular. If you want to work at the forefront of technology, exploring ai degree programs can give you a competitive edge. AI skills are in high demand across industries, making this an attractive option for career growth.

When choosing a pathway, it’s helpful to review the best college majors for long-term career prospects, income potential, and job stability. For those interested in advancing quickly, there are also short masters programs that can be completed in less time, fast-tracking your entry into high-paying tech roles.

Best Scientists Citing Kathleen R. McKeown

Trending Scientists

Recently Published Articles