World's Best Scientists 2026 revealed!
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Ani Nenkova

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 54 4513 4384 2115 2040 139 13540

Ani Nenkova publications per year

The chart shows the history of publications by Ani Nenkova between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ani Nenkova published across 24 years, from 2002 to 2025, averaging 7.5 papers a year. Output peaked at 14 publications in 2022. 9 of the 180 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2022. 2002: 4 publications 2003: 7 publications 2004: 4 publications 2005: 10 publications 2006: 4 publications 2007: 9 publications 2008: 12 publications 2009: 9 publications 2010: 6 publications 2011: 7 publications 2012: 12 publications 2013: 7 publications 2014: 12 publications 2015: 9 publications 2016: 5 publications 2017: 3 publications 2018: 5 publications 2019: 7 publications 2020: 5 publications 2021: 6 publications 2022: 14 publications 2023: 14 publications 2024: 6 publications 2025: 3 publications
2002 2025

180 publications in total across all disciplines

View publications per year as a table
Ani Nenkova: publications per year, 2002 to 2025
Year Publications
2002 4
2003 7
2004 4
2005 10
2006 4
2007 9
2008 12
2009 9
2010 6
2011 7
2012 12
2013 7
2014 12
2015 9
2016 5
2017 3
2018 5
2019 7
2020 5
2021 6
2022 14
2023 14
2024 6
2025 3
Total 180
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Ani Nenkova 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 Ani Nenkova sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 132–141 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 139 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555 139
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Ani Nenkova 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 Ani Nenkova sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 54
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Ani Nenkova is affiliated with Adobe Systems in the United States. Their research spans a range of topics primarily focused on Artificial Intelligence and related fields. The subfields of study in which they have contributed include Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Management Science and Operations Research, and Statistics, Probability and Uncertainty.

Their work often intersects with multiple areas of advanced data processing and analysis, especially in Natural Language Processing (NLP) and biomedical applications. Key topics addressed in their research include Topic Modeling, Natural Language Processing Techniques, Biomedical Text Mining and Ontologies, Data Quality and Management, Advanced Text Analysis Techniques, Meta-analysis and systematic reviews, and Handwritten Text Recognition Techniques.

Recent publications by Ani Nenkova reflect a focus on medical informatics, language processing, and named entity recognition. Among these are:

  • Trialstreamer: A living, automatically updated database of clinical trial reports (2020), published in the Journal of the American Medical Informatics Association
  • Temporal Effects on Pre-trained Models for Language Processing Tasks (2022), featured in Transactions of the Association for Computational Linguistics
  • Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time (2020), available on PubMed
  • Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models (2020), published on arXiv (Cornell University)
  • State of the evidence: a survey of global disparities in clinical trials (2021), published in BMJ Global Health

Nenkova frequently collaborates with several researchers, including Iain Marshall, Byron Wallace, Benjamin Nye, Frank Soboczenski, and James Thomas. These coauthors have worked with Nenkova on numerous projects across various studies.

The scientist's research has been disseminated through multiple venues. Most of their publications appear in Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), OPAL (Open@LaTrobe) (La Trobe University), PubMed, and bioRxiv (Cold Spring Harbor Laboratory).

Best Publications

  • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Kevin Knight;Ani Nenkova;Owen Rambow

  • CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

    Houwei Cao;David G. Cooper;Michael K. Keutmann;Ruben C. Gur

  • A SURVEY OF TEXT SUMMARIZATION TECHNIQUES

    Ani Nenkova;Kathleen R. McKeown

  • Automatic Summarization

    Ani Nenkova;Sameer Maskey;Yang Liu

  • Evaluating Content Selection in Summarization: The Pyramid Method

    Ani Nenkova;Rebecca J. Passonneau

  • Revisiting Readability: A Unified Framework for Predicting Text Quality

    Emily Pitler;Ani Nenkova

  • Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion

    Lucy Vanderwende;Hisami Suzuki;Chris Brockett;Ani Nenkova

  • 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

  • Automatic sense prediction for implicit discourse relations in text

    Emily Pitler;Annie Louis;Ani Nenkova

  • The Impact of Frequency on Summarization

    A. Nenkova;L. Vanderwende;Lucy Vanderwende

  • Using Syntax to Disambiguate Explicit Discourse Connectives in Text

    Emily Pitler;Ani Nenkova

  • Class-level spectral features for emotion recognition

    Dmitri Bitouk;Ragini Verma;Ani Nenkova

  • A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization

    Ani Nenkova;Lucy Vanderwende;Kathleen McKeown

  • A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.

    Benjamin E. Nye;Junyi Jessy Li;Roma Patel;Yinfei Yang

  • High Frequency Word Entrainment in Spoken Dialogue

    Ani Nenkova;Agust'in Gravano;Julia Hirschberg

  • Automatically assessing machine summary content without a gold standard

    Annie Louis;Ani Nenkova

  • Easily Identifiable Discourse Relations

    Emily Pitler;Mridhula Raghupathy;Hena Mehta;Ani Nenkova

  • Automatic text summarization of newswire: lessons learned from the document understanding conference

    Ani Nenkova

  • Improving the Estimation of Word Importance for News Multi-Document Summarization

    Kai Hong;Ani Nenkova

Frequent Co-Authors

Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Byron C. Wallace
Byron C. Wallace Northeastern University
Dan Jurafsky
Dan Jurafsky Stanford University
Rebecca J. Passonneau
Rebecca J. Passonneau Pennsylvania State University
Julia Hirschberg
Julia Hirschberg Columbia University
Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Regina Barzilay
Regina Barzilay MIT
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Lucy Vanderwende
Lucy Vanderwende University of Washington
Ruben C. Gur
Ruben C. Gur University of Pennsylvania

External Links

Personal website of Ani Nenkova Google Scholar page

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Best Scientists Citing Ani Nenkova

Diane J. Litman

Diane J. Litman

University of Pittsburgh

Publications: 39

Kathleen R. McKeown

Kathleen R. McKeown

Columbia University

Publications: 34

Julia Hirschberg

Julia Hirschberg

Columbia University

Publications: 28

Dragomir R. Radev

Dragomir R. Radev

Yale University

Publications: 28

Furu Wei

Furu Wei

Microsoft (United States)

Publications: 24

Iryna Gurevych

Iryna Gurevych

Technical University of Darmstadt

Publications: 24

Hsin-Min Wang

Hsin-Min Wang

Academia Sinica

Publications: 22

Marilyn A. Walker

Marilyn A. Walker

University of California, Santa Cruz

Publications: 22

Mirella Lapata

Mirella Lapata

University of Edinburgh

Publications: 21

Sujian Li

Sujian Li

Peking University

Publications: 21

Vasudeva Varma

Vasudeva Varma

International Institute of Information Technology, Hyderabad

Publications: 21

Yang Liu

Yang Liu

Nanyang Technological University

Publications: 20

Giuseppe Carenini

Giuseppe Carenini

University of British Columbia

Publications: 19

Eduard Hovy

Eduard Hovy

Carnegie Mellon University

Publications: 19

Carlos Busso

Carlos Busso

The University of Texas at Dallas

Publications: 19

Rebecca J. Passonneau

Rebecca J. Passonneau

Pennsylvania State University

Publications: 19

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