World's Best Scientists 2026 revealed!
Dragomir R. Radev

Dragomir R. Radev

D-Index & Metrics

Computer Science

D-Index
87
Citations
33348
World Ranking
718
National Ranking
379

Dragomir R. Radev 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 Dragomir R. Radev 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: 322 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Dragomir R. Radev 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 Dragomir R. Radev 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: 87 D-Index — 95th percentile

95% 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

  • 2020 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language processing and computational linguistics, and development of widely used techniques in text summarization, question answering, and education.
  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2015 - ACM Fellow For contributions to natural language processing and computational linguistics
  • 2008 - ACM Distinguished Member

Overview

Dragomir R. Radev was affiliated with Yale University in the United States. Their research primarily focused on the field of computer science, with a significant number of publications in subfields such as artificial intelligence, molecular biology, computer vision and pattern recognition, information systems, and signal processing.

The main topics covered in their work included topic modeling, natural language processing techniques, advanced text analysis techniques, semantic web and ontologies, multimodal machine learning applications, text readability and simplification, and advanced graph neural networks.

Notable recent papers authored or co-authored by Dragomir R. Radev include:

  • Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options (2024), published at Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022), published on arXiv (Cornell University)
  • Neural Natural Language Processing for unstructured data in electronic health records: A review (2022), published in Computer Science Review
  • BRIO: Bringing Order to Abstractive Summarization (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization (2021), published in npj Digital Medicine

Frequent co-authors included:

  • Caiming Xiong (19 publications)
  • Alexander R. Fabbri (16 publications)
  • Ansong Ni (14 publications)
  • Yilun Zhao (13 publications)
  • Irene Li (12 publications)

The scientist regularly published in venues such as:

  • arXiv (Cornell University) with 70 publications
  • Transactions of the Association for Computational Linguistics with 4 publications
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) with 3 publications
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies with 2 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 2 publications

Dragomir R. Radev also authored books, including Natural Language Interfaces to Databases (2023), published by Morgan & Claypool Publishers.

Awards received during their career included:

  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2020, recognized for contributions in natural language processing, computational linguistics, text summarization, question answering, and education
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2018
  • ACM Fellow in 2015, for contributions to natural language processing and computational linguistics
  • ACM Distinguished Member in 2008

Best Publications

  • LexRank: graph-based lexical centrality as salience in text summarization

    Günes Erkan;Dragomir R. Radev

  • Centroid-based summarization of multiple documents

    Dragomir R. Radev;Hongyan Jing;Małgorzata Styś;Daniel Tam

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • How to Analyze Political Attention with Minimal Assumptions and Costs

    Kevin M. Quinn;Burt L. Monroe;Michael Colaresi;Michael H. Crespin

  • TimeML: Robust Specification of Event and Temporal Expressions in Text

    James Pustejovsky;José M. Castaño;Robert Ingria;Roser Saurí

  • Rumor has it: Identifying Misinformation in Microblogs

    Vahed Qazvinian;Emily Rosengren;Dragomir R. Radev;Qiaozhu Mei

  • Introduction to the special issue on summarization

    Dragomir R. Radev;Eduard Hovy;Kathleen McKeown

  • Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

    Tao Yu;Rui Zhang;Kai Yang;Michihiro Yasunaga

  • Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

    Dragomir R. Radev;Hongyan Jing;Malgorzata Budzikowska

  • Generating natural language summaries from multiple on-line sources

    Dragomir R. Radev;Kathleen R. McKeown

  • Generating summaries of multiple news articles

    Kathleen McKeown;Dragomir R. Radev

  • Crosslingual Generalization through Multitask Finetuning

    Unknown

  • System, method and program product for interactive natural dialog

    Joyce Yue Chai;Sunil Subramanyam Govindappa;Nandakishore Kambhatla;Tetsunosuke Fujisaki

  • Identifying gene-disease associations using centrality on a literature mined gene-interaction network

    Arzucan Özgür;Thuy Vu;Güneş Erkan;Dragomir R. Radev

  • MEAD - A Platform for Multidocument Multilingual Text Summarization

    Dragomir R. Radev;Timothy Allison;Sasha Blair-Goldensohn;John Blitzer

  • UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

    Unknown

  • Probabilistic question answering on the Web

    Dragomir R. Radev;Weiguo Fan;Hong Qi;Harris Wu

  • Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

    Alexander R. Fabbri;Irene Li;Tianwei She;Suyi Li

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryscinski;Bryan McCann;Caiming Xiong

  • The ACL anthology network corpus

    Dragomir R. Radev;Pradeep Muthukrishnan;Vahed Qazvinian;Amjad Abu-Jbara

  • LexRank: Graph-based Centrality as Salience in Text Summarization

    Gunes Erkan;Dragomir R. Radev

  • LexPageRank: Prestige in Multi-Document Text Summarization

    Günes Erkan;Dragomir R. Radev

  • The ACL Anthology Network corpus

    Dragomir R. Radev;Pradeep Muthukrishnan;Vahed Qazvinian

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryściński;Bryan McCann;Caiming Xiong

Frequent Co-Authors

Michihiro Yasunaga
Michihiro Yasunaga Yale University
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Weiguo Fan
Weiguo Fan University of Iowa
Caiming Xiong
Caiming Xiong Salesforce (United States)
Simone Teufel
Simone Teufel University of Cambridge
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor
Min-Yen Kan
Min-Yen Kan National University of Singapore
Horacio Saggion
Horacio Saggion Pompeu Fabra University

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