World's Best Scientists 2026 revealed!
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Li Fei-Fei
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Best Female Scientists
2026
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 139 67 64 39 37 409 236605
Best Female Scientists 140 249 234 152 142 549 265476

Li Fei-Fei publications per year

The chart shows the history of publications by Li Fei-Fei between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Li Fei-Fei published across 24 years, from 2002 to 2025, averaging 25.4 papers a year. Output peaked at 48 publications in 2017. 69 of the 609 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2017. 2002: 1 publication 2003: 1 publication 2004: 3 publications 2005: 5 publications 2006: 8 publications 2007: 9 publications 2008: 8 publications 2009: 14 publications 2010: 26 publications 2011: 12 publications 2012: 22 publications 2013: 30 publications 2014: 26 publications 2015: 32 publications 2016: 42 publications 2017: 48 publications 2018: 43 publications 2019: 43 publications 2020: 41 publications 2021: 44 publications 2022: 40 publications 2023: 42 publications 2024: 37 publications 2025: 32 publications
2002 2025

609 publications in total across all disciplines

View publications per year as a table
Li Fei-Fei: publications per year, 2002 to 2025
Year Publications
2002 1
2003 1
2004 3
2005 5
2006 8
2007 9
2008 8
2009 14
2010 26
2011 12
2012 22
2013 30
2014 26
2015 32
2016 42
2017 48
2018 43
2019 43
2020 41
2021 44
2022 40
2023 42
2024 37
2025 32
Total 609
Download as CSV

Li Fei-Fei publications per year - data summary

  • Li Fei-Fei, a Computer Science scholar from Stanford University, has 609 publications recorded across 24 years, from 2002 to 2025.
  • The oldest publication on record dates to 2002 and the most recent to 2025.
  • The most productive year is 2017, with 48 publications.
  • The least productive years with any output are 2002 and 2003, with 1 publication each.
  • The rate of publication averages 25.4 papers per year over the whole span, or 25.4 per year counting only the 24 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 195 publications, 32% of the career total.
  • Split into equal eras - 2002-2009: 49 publications (6.1 per year); 2010-2017: 238 publications (29.8 per year); 2018-2025: 322 publications (40.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Li Fei-Fei 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 Li Fei-Fei 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, 402–411 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: 409 publications — 88th percentile

88% 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
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
402–411 104 409
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

Li Fei-Fei publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Li Fei-Fei, a Computer Science scholar from Stanford University, records 409 publications - the 88th percentile of the discipline.
  • 88% of ranked Computer Science scientists score the same or lower than Li Fei-Fei, and about 12% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Li Fei-Fei ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Li Fei-Fei 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 Li Fei-Fei 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, 131+ 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: 139 D-Index — 100th percentile

100% 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
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+ 98 139
Download as CSV

Li Fei-Fei D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Li Fei-Fei, a Computer Science scholar from Stanford University, records 139 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Li Fei-Fei, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Li Fei-Fei ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Best Female Scientists Award
  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award

Overview

Li Fei-Fei is affiliated with Stanford University in the United States, specializing in the field of computer science. Their research contributions encompass a broad range of topics within this domain, with a particular focus on artificial intelligence and computer vision.

The scientist's main fields of study include:

  • Computer Science

Within this primary domain, their subfields of study are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Mechanical Engineering

Their research addresses several topics, notable among these are:

  • Multimodal Machine Learning Applications
  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Topic Modeling
  • Adversarial Robustness in Machine Learning

Li Fei-Fei has authored numerous scientific papers, with recent works including:

  • "On the Opportunities and Risks of Foundation Models," 2021, arXiv (Cornell University)
  • "Advances, challenges and opportunities in creating data for trustworthy AI," 2022, Nature Machine Intelligence
  • "Illuminating the dark spaces of healthcare with ambient intelligence," 2020, Nature
  • "U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation," 2024, arXiv (Cornell University)
  • "Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors working with Li Fei-Fei include:

  • Ehsan Adeli
  • Silvio Savarese
  • Roberto Martín-Martín
  • Jiajun Wu
  • Chengshu Li

Regarding publication venues, their contributions are most often found in:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Nature Machine Intelligence
  • Medical Physics
  • SSRN Electronic Journal

Best Publications

  • ImageNet: A large-scale hierarchical image database

    Jia Deng;Wei Dong;Richard Socher;Li-Jia Li

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

  • Perceptual Losses for Real-Time Style Transfer and Super-Resolution

    Justin Johnson;Alexandre Alahi;Li Fei-Fei

  • Large-Scale Video Classification with Convolutional Neural Networks

    Andrej Karpathy;George Toderici;Sanketh Shetty;Thomas Leung

  • Deep visual-semantic alignments for generating image descriptions

    Andrej Karpathy;Li Fei-Fei

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • A Bayesian hierarchical model for learning natural scene categories

    L. Fei-Fei;P. Perona

  • Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

    Li Fei-Fei;R. Fergus;P. Perona

  • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

    Li Fei-Fei;Rob Fergus;Pietro Perona

  • 3D Object Representations for Fine-Grained Categorization

    Jonathan Krause;Michael Stark;Jia Deng;Li Fei-Fei

  • Social LSTM: Human Trajectory Prediction in Crowded Spaces

    Alexandre Alahi;Kratarth Goel;Vignesh Ramanathan;Alexandre Robicquet

  • One-shot learning of object categories

    Li Fei-Fei;R. Fergus;P. Perona

  • Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

    Juan Carlos Niebles;Hongcheng Wang;Li Fei-Fei

  • On the Opportunities and Risks of Foundation Models.

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

  • Large-scale Video Classification with Convolutional Neural Networks

    Andrej Karpathy;George Toderici;Sanketh Shetty;Thomas Leung

  • Progressive Neural Architecture Search

    Chenxi Liu;Barret Zoph;Maxim Neumann;Jonathon Shlens

  • Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

    Agrim Gupta;Justin Johnson;Li Fei-Fei;Silvio Savarese

  • CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

    Justin Johnson;Bharath Hariharan;Laurens van der Maaten;Li Fei-Fei

  • Target-driven visual navigation in indoor scenes using deep reinforcement learning

    Yuke Zhu;Roozbeh Mottaghi;Eric Kolve;Joseph J. Lim

  • DenseCap: Fully Convolutional Localization Networks for Dense Captioning

    Justin Johnson;Andrej Karpathy;Li Fei-Fei

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Yuke Zhu
Yuke Zhu The University of Texas at Austin
Diane M. Beck
Diane M. Beck University of Illinois at Urbana-Champaign
Li-Jia Li
Li-Jia Li Stanford University
Alexandre Alahi
Alexandre Alahi École Polytechnique Fédérale de Lausanne
Jia Deng
Jia Deng Princeton University
Juan Carlos Niebles
Juan Carlos Niebles Stanford University
Animesh Garg
Animesh Garg University of Toronto
Ranjay Krishna
Ranjay Krishna University of Washington
Michael S. Bernstein
Michael S. Bernstein Stanford University
Silvio Savarese
Silvio Savarese Stanford University

External Links

Wikipedia of Li Fei-Fei Personal website of Li Fei-Fei Google Scholar page

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Publications: 256

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University of California, Berkeley

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Luc Van Gool

Luc Van Gool

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Publications: 201

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 191

Chunhua Shen

Chunhua Shen

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Publications: 179

Shuicheng Yan

Shuicheng Yan

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Ling Shao

Ling Shao

Terminus International

Publications: 162

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

Publications: 160

Larry S. Davis

Larry S. Davis

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Publications: 156

Antonio Torralba

Antonio Torralba

MIT

Publications: 154

Tao Mei

Tao Mei

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Publications: 148

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 148

Bernt Schiele

Bernt Schiele

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Publications: 143

Jiebo Luo

Jiebo Luo

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