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Anima Anandkumar

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 75 1401 1358 82 81 361 25837

Anima Anandkumar publications per year

The chart shows the history of publications by Anima Anandkumar between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Anima Anandkumar published across 29 years, from 1997 to 2025, averaging 11.8 papers a year. Output peaked at 71 publications in 2021. 11 of the 342 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 71. Peak 71 publications in 2021. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 2 publications 2007: 4 publications 2008: 8 publications 2009: 9 publications 2010: 9 publications 2011: 15 publications 2012: 14 publications 2013: 14 publications 2014: 25 publications 2015: 16 publications 2016: 21 publications 2017: 10 publications 2018: 24 publications 2019: 25 publications 2020: 38 publications 2021: 71 publications 2022: 18 publications 2023: 7 publications 2024: 7 publications 2025: 4 publications
1997 2025

342 publications in total across all disciplines

View publications per year as a table
Anima Anandkumar: publications per year, 1997 to 2025
Year Publications
1997 1
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 2
2007 4
2008 8
2009 9
2010 9
2011 15
2012 14
2013 14
2014 25
2015 16
2016 21
2017 10
2018 24
2019 25
2020 38
2021 71
2022 18
2023 7
2024 7
2025 4
Total 342
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Anima Anandkumar 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 Anima Anandkumar 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, 352–361 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: 361 publications — 83rd percentile

83% 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
352–361 162 361
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

Anima Anandkumar 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 Anima Anandkumar 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, 74–75 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: 75 D-Index — 90th percentile

90% 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 75
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

Anima Anandkumar is affiliated with Nvidia in the United Kingdom and has contributed extensively to research at the intersection of computer science and medicine. Their work encompasses various subfields, including artificial intelligence, computer vision and pattern recognition, surgery, biomedical engineering, and health informatics.

Their recent publications demonstrate a focus on AI-driven methods applied to medical and surgical contexts, as well as advances in machine learning models. Notable papers include:

  • "FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators" (2022, arXiv (Cornell University))
  • "A vision transformer for decoding surgeon activity from surgical videos" (2023, Nature Biomedical Engineering)
  • "Convolutional Tensor-Train LSTM for Spatio-temporal Learning" (2020, arXiv (Cornell University))
  • "A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons" (2023, Communications Medicine)
  • "Surgical gestures as a method to quantify surgical performance and predict patient outcomes" (2022, npj Digital Medicine)

Anandkumar has collaborated frequently with several researchers, including Andrew J. Hung, Daniel A. Donoho, Yuke Zhu, Dani Kiyasseh, and Dhiraj J. Pangal. These co-authors appear regularly in their research publications, indicating ongoing partnerships within related domains.

Their work has been disseminated primarily through specific venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • npj Digital Medicine
  • The Journal of Urology
  • Nature Biomedical Engineering

The main fields of study covered by Anandkumar include computer science with 45 publications and medicine with 40. Within these, their research targets several subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Surgery
  • Biomedical Engineering
  • Health Informatics

Research topics across their portfolio concentrate on areas such as:

  • Surgical Simulation and Training
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Materials Science
  • Anatomy and Medical Technology
  • History and Advancements in Chemistry
  • Cardiac, Anesthesia and Surgical Outcomes
  • Advanced Vision and Imaging

Best Publications

  • SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

    Enze Xie;Wenhai Wang;Zhiding Yu;Anima Anandkumar

  • Fourier Neural Operator for Parametric Partial Differential Equations

    Zongyi Li;Nikola Borislavov Kovachki;Kamyar Azizzadenesheli;Burigede liu

  • Tensor decompositions for learning latent variable models

    Animashree Anandkumar;Rong Ge;Daniel Hsu;Sham M. Kakade

  • Born Again Neural Networks

    Tommaso Furlanello;Zachary Chase Lipton;Michael Tschannen;Laurent Itti

  • Physics-informed machine learning: case studies for weather and climate modelling.

    K. Kashinath;M. Mustafa;A. Albert;J. L. Wu;J. L. Wu

  • Deep Active Learning for Named Entity Recognition.

    Yanyao Shen;Hyokun Yun;Zachary C. Lipton;Yakov Kronrod

  • signSGD: Compressed Optimisation for Non-Convex Problems

    Jeremy Bernstein;Yu-Xiang Wang;Kamyar Azizzadenesheli;Animashree Anandkumar

  • U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow.

    Gege Wen;Zongyi Li;Kamyar Azizzadenesheli;Anima Anandkumar

  • Neural Operator: Graph Kernel Network for Partial Differential Equations

    Zongyi Li;Nikola B. Kovachki;Kamyar Azizzadenesheli;Burigede Liu

  • Stochastic Activation Pruning for Robust Adversarial Defense

    Guneet S. Dhillon;Kamyar Azizzadenesheli;Zachary C. Lipton;Jeremy D. Bernstein

  • Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

    A Anandkumar;N Michael;A K Tang;A Swami

  • A Method of Moments for Mixture Models and Hidden Markov Models

    Animashree Anandkumar;Daniel J. Hsu;Sham M. Kakade

  • TensorLy: tensor learning in python

    Jean Kossaifi;Yannis Panagakis;Anima Anandkumar;Maja Pantic

  • Neural Lander: Stable Drone Landing Control Using Learned Dynamics

    Guanya Shi;Xichen Shi;Michael O'Connell;Rose Yu

  • A Tensor Spectral Approach to Learning Mixed Membership Community Models

    Animashree Anandkumar;Rong Ge;Daniel J. Hsu;Sham M. Kakade

  • Learning Latent Tree Graphical Models

    Myung Jin Choi;Vincent Y. F. Tan;Animashree Anandkumar;Alan S. Willsky

  • A Spectral Algorithm for Latent Dirichlet Allocation

    Animashree Anandkumar;Dean P. Foster;Daniel Hsu;Sham M. Kakade

  • Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods

    Majid Janzamin;Hanie Sedghi;Anima Anandkumar

  • OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital features.

    Zhuoran Qiao;Matthew Welborn;Animashree Anandkumar;Frederick R. Manby

  • Opportunistic Spectrum Access with Multiple Users: Learning under Competition

    Animashree Anandkumar;Nithin Michael;Ao Tang

  • Non-convex Robust PCA

    Praneeth Netrapalli;Niranjan U N;Sujay Sanghavi;Animashree Anandkumar

  • Multipole Graph Neural Operator for Parametric Partial Differential Equations

    Zongyi Li;Nikola B. Kovachki;Kamyar Azizzadenesheli;Burigede Liu

Frequent Co-Authors

Alan S. Willsky
Alan S. Willsky MIT
Vincent Y. F. Tan
Vincent Y. F. Tan National University of Singapore
Daniel Hsu
Daniel Hsu Columbia University
Sham M. Kakade
Sham M. Kakade Harvard University
Yisong Yue
Yisong Yue California Institute of Technology
Yuke Zhu
Yuke Zhu The University of Texas at Austin
Rong Ge
Rong Ge Duke University
Zachary C. Lipton
Zachary C. Lipton Carnegie Mellon University
Lang Tong
Lang Tong Cornell University
Animesh Garg
Animesh Garg University of Toronto

External Links

Wikipedia of Anima Anandkumar Personal website of Anima Anandkumar Google Scholar page

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Related Online Degrees & Career Pathways

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Each pathway offers unique benefits and potential careers, making it important to research your options and choose a program that aligns with your interests and professional aspirations.

Best Scientists Citing Anima Anandkumar

Rong Ge

Rong Ge

Duke University

Publications: 39

Vincent Y. F. Tan

Vincent Y. F. Tan

National University of Singapore

Publications: 30

Sujay Sanghavi

Sujay Sanghavi

The University of Texas at Austin

Publications: 29

Ankur Moitra

Ankur Moitra

MIT

Publications: 28

Soon-Jo Chung

Soon-Jo Chung

California Institute of Technology

Publications: 25

Martin J. Wainwright

Martin J. Wainwright

MIT

Publications: 24

Sham M. Kakade

Sham M. Kakade

Harvard University

Publications: 23

Percy Liang

Percy Liang

Stanford University

Publications: 21

Yonina C. Eldar

Yonina C. Eldar

Weizmann Institute of Science

Publications: 21

Osvaldo Simeone

Osvaldo Simeone

Northeastern University

Publications: 21

Qing Zhao

Qing Zhao

Cornell University

Publications: 21

Yisong Yue

Yisong Yue

California Institute of Technology

Publications: 20

Sanjeev Arora

Sanjeev Arora

Princeton University

Publications: 20

Tengyu Ma

Tengyu Ma

Stanford University

Publications: 20

Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

Publications: 20

Namrata Vaswani

Namrata Vaswani

Iowa State University

Publications: 19

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