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Tomas Pfister

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 37 10524 10227 4408 4225 149 8539

Tomas Pfister publications per year

The chart shows the history of publications by Tomas Pfister between 2010 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tomas Pfister published across 16 years, from 2010 to 2025, averaging 11 papers a year. Output peaked at 31 publications in 2023. 44 of the 176 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2010 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2023. 2010: 1 publication 2011: 3 publications 2012: 3 publications 2013: 4 publications 2014: 4 publications 2015: 5 publications 2016: 2 publications 2017: 0 publications 2018: 1 publication 2019: 25 publications 2020: 12 publications 2021: 21 publications 2022: 20 publications 2023: 31 publications 2024: 27 publications 2025: 17 publications
2010 2025

176 publications in total across all disciplines

View publications per year as a table
Tomas Pfister: publications per year, 2010 to 2025
Year Publications
2010 1
2011 3
2012 3
2013 4
2014 4
2015 5
2016 2
2017 0
2018 1
2019 25
2020 12
2021 21
2022 20
2023 31
2024 27
2025 17
Total 176
Download as CSV

Tomas Pfister 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 Tomas Pfister 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, 142–151 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: 149 publications — 26th percentile

26% 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
142–151 609 149
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

Tomas Pfister 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 Tomas Pfister 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, 36–37 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: 37 D-Index — 27th percentile

27% 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 37
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
Download as CSV

Overview

Tomas Pfister is affiliated with Google in the United States and has contributed extensively to the field of computer science with a focus on artificial intelligence. Their research spans multiple subfields including artificial intelligence, computer vision and pattern recognition, signal processing, management science and operations research, and epidemiology.

Their main topics of work include:

  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting

Pfister has published extensively in several venues, with a strong presence on arXiv and in major conferences:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • npj Digital Medicine
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recent publications include:

  • "Learning to Prompt for Continual Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Simple Semi-Supervised Learning Framework for Object Detection," 2020, arXiv (Cornell University)
  • "Temporal Fusion Transformers for interpretable multi-horizon time series forecasting," 2021, International Journal of Forecasting
  • "Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "TabNet: Attentive Interpretable Tabular Learning," 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors working alongside Pfister include:

  • Sercan Ö. Arık
  • Chunliang Li
  • Jinsung Yoon
  • Chen-Yu Lee
  • Zizhao Zhang

Pfister's body of work includes 173 publications predominantly in computer science, with 115 specifically focusing on artificial intelligence and 40 addressing computer vision and pattern recognition. Their research covers diverse applications and techniques, reflecting a multidisciplinary approach spanning theory and applied machine learning. This range indicates an active role in advancing methods related to learning frameworks, interpretable models, and forecasting techniques.

Best Publications

  • Learning from Simulated and Unsupervised Images through Adversarial Training

    Ashish Shrivastava;Tomas Pfister;Oncel Tuzel;Joshua Susskind

  • Temporal Fusion Transformers for interpretable multi-horizon time series forecasting

    Bryan Lim;Sercan Ömer Arik;Nicolas Loeff;Tomas Pfister

  • CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

    Chun-Liang Li;Kihyuk Sohn;Jinsung Yoon;Tomas Pfister

  • TabNet: Attentive Interpretable Tabular Learning.

    Sercan Ömer Arik;Tomas Pfister

  • A Spontaneous Micro-expression Database: Inducement, collection and baseline

    Xiaobai Li;Tomas Pfister;Xiaohua Huang;Guoying Zhao

  • Flowing ConvNets for Human Pose Estimation in Videos

    Tomas Pfister;James Charles;Andrew Zisserman

  • Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods

    Xiaobai Li;Xiaopeng Hong;Antti Moilanen;Xiaohua Huang

  • Learning to Prompt for Continual Learning

    Unknown

  • Recognising spontaneous facial micro-expressions

    Tomas Pfister;Xiaobai Li;Guoying Zhao;Matti Pietikainen

  • A Simple Semi-Supervised Learning Framework for Object Detection.

    Kihyuk Sohn;Zizhao Zhang;Chun-Liang Li;Han Zhang

  • DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning

    Unknown

  • PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

    Yuliang Zou;Zizhao Zhang;Han Zhang;Chun-Liang Li

  • Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

    Unknown

  • Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos

    Tomas Pfister;Karen Simonyan;James Charles;Andrew Zisserman

  • Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

    Bryan Lim;Sercan O. Arik;Nicolas Loeff;Tomas Pfister

  • Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost

    Mingfei Gao;Zizhao Zhang;Guo Yu;Sercan Ömer Arik

  • TabNet: Attentive Interpretable Tabular Learning

    Sercan O. Arik;Tomas Pfister

  • Learning from Simulated and Unsupervised Images through Adversarial Training

    Ashish Shrivastava;Tomas Pfister;Oncel Tuzel;Josh Susskind

  • Distilling Effective Supervision From Severe Label Noise

    Zizhao Zhang;Han Zhang;Sercan O. Arik;Honglak Lee

  • Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding

    Unknown

  • Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework

    Tomas Pfister;Xiaobai Li;Guoying Zhao;Matti Pietikainen

  • Flowing ConvNets for Human Pose Estimation in Videos

    Tomas Pfister;James Charles;Andrew Zisserman

  • Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval

    Unknown

  • Personalizing Human Video Pose Estimation

    James Charles;Tomas Pfister;Derek Magee;David Hogg

  • Domain-Adaptive Discriminative One-Shot Learning of Gestures

    Tomas Pfister;James Charles;Andrew Zisserman

  • Learning and Evaluating Representations for Deep One-Class Classification

    Kihyuk Sohn;Chun-Liang Li;Jinsung Yoon;Minho Jin

  • Automatic and Efficient Human Pose Estimation for Sign Language Videos

    James Charles;Tomas Pfister;Mark Everingham;Andrew Zisserman

  • Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US

    Estee Y Cramer;Evan L Ray;Velma K Lopez;Johannes Bracher

  • Data Valuation using Reinforcement Learning

    Jinsung Yoon;Sercan Arik;Tomas Pfister

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Kihyuk Sohn
Kihyuk Sohn Google (United States)
Guoying Zhao
Guoying Zhao University of Oulu
Linchao Zhu
Linchao Zhu University of Technology Sydney
David C. Hogg
David C. Hogg University of Leeds
Been Kim
Been Kim Google (United States)
Pradeep Ravikumar
Pradeep Ravikumar Carnegie Mellon University
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor
Xiang Zhang
Xiang Zhang University of Hong Kong

External Links

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Best Scientists Citing Tomas Pfister

Guoying Zhao

Guoying Zhao

University of Oulu

Publications: 51

John See

John See

Heriot-Watt University Malaysia

Publications: 25

Raphael C.-W. Phan

Raphael C.-W. Phan

Monash University Malaysia

Publications: 22

Luc Van Gool

Luc Van Gool

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Publications: 20

Andrew Zisserman

Andrew Zisserman

University of Oxford

Publications: 20

Ming-Yu Liu

Ming-Yu Liu

Nvidia (United States)

Publications: 19

Xiaolan Fu

Xiaolan Fu

Chinese Academy of Sciences

Publications: 18

Jan Kautz

Jan Kautz

Nvidia (United States)

Publications: 18

Kurt Keutzer

Kurt Keutzer

University of California, Berkeley

Publications: 18

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 18

Wenming Zheng

Wenming Zheng

Southeast University

Publications: 16

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 15

Ran He

Ran He

Chinese Academy of Sciences

Publications: 15

Moi Hoon Yap

Moi Hoon Yap

Manchester Metropolitan University

Publications: 15

Yuan Zong

Yuan Zong

Northeastern University

Publications: 14

Jun-Yan Zhu

Jun-Yan Zhu

Carnegie Mellon University

Publications: 14

Trending Scientists

Feng Teng

Feng Teng

Northwest University

Zhian Li

Zhian Li

Chinese Academy of Sciences

Morten Birkeland Nielsen

Morten Birkeland Nielsen

National Institute of Occupational Health

Manuela Raffatellu

Manuela Raffatellu

University of California, San Diego

János Varga

János Varga

University of Szeged

Gavin J. Wright

Gavin J. Wright

Wellcome Sanger Institute

Joshua LaBaer

Joshua LaBaer

Arizona State University

Fu-Shin X. Yu

Fu-Shin X. Yu

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Qing He

Qing He

East China Normal University

Elisabeth Knust

Elisabeth Knust

Max Planck Society

Matthieu R. Bloch

Matthieu R. Bloch

Georgia Institute of Technology

Changhai Liang

Changhai Liang

Dalian University of Technology

Terrance Odean

Terrance Odean

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