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Tal Hassner

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 51 5235 5088 2409 2326 108 14905

Tal Hassner publications per year

The chart shows the history of publications by Tal Hassner between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tal Hassner published across 24 years, from 2002 to 2025, averaging 6.3 papers a year. Output peaked at 40 publications in 2022. 6 of the 150 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 40. Peak 40 publications in 2022. 2002: 1 publication 2003: 0 publications 2004: 0 publications 2005: 1 publication 2006: 4 publications 2007: 2 publications 2008: 1 publication 2009: 4 publications 2010: 2 publications 2011: 4 publications 2012: 4 publications 2013: 7 publications 2014: 4 publications 2015: 9 publications 2016: 13 publications 2017: 8 publications 2018: 6 publications 2019: 11 publications 2020: 5 publications 2021: 11 publications 2022: 40 publications 2023: 7 publications 2024: 4 publications 2025: 2 publications
2002 2025

150 publications in total across all disciplines

View publications per year as a table
Tal Hassner: publications per year, 2002 to 2025
Year Publications
2002 1
2003 0
2004 0
2005 1
2006 4
2007 2
2008 1
2009 4
2010 2
2011 4
2012 4
2013 7
2014 4
2015 9
2016 13
2017 8
2018 6
2019 11
2020 5
2021 11
2022 40
2023 7
2024 4
2025 2
Total 150
Download as CSV

Tal Hassner 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 Tal Hassner 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, 102–111 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: 108 publications — 11th percentile

11% 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
102–111 420 108
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
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

Tal Hassner 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 Tal Hassner 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, 50–51 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: 51 D-Index — 63rd percentile

63% 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 51
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

Tal Hassner is affiliated with Facebook in the United States. Their primary research field is Computer Science, with a particular focus on Computer Vision and Pattern Recognition, which accounts for the majority of their publications. Other subfields include Artificial Intelligence, Media Technology, Signal Processing, and Safety Research.

Hassner's research topics encompass a range of areas linked to machine learning and visual data analysis. Notably, these topics include Handwritten Text Recognition Techniques, Digital Media Forensic Detection, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Face Recognition and Analysis, as well as Natural Language Processing Techniques.

Recent papers authored or coauthored by Hassner demonstrate a focus on detecting and synthesizing visual content, often with implications for media authenticity and transfer learning. Key publications include:

  • DeepFake Detection Based on Discrepancies Between Faces and Their Context, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • LEEP: A New Measure to Evaluate Transferability of Learned Representations, 2020, arXiv (Cornell University)
  • FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TextStyleBrush: Transfer of Text Aesthetics From a Single Example, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Few-shot Learning with Noisy Labels, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Hassner frequently collaborates with several researchers, including Giovanni Maria Farinella, Shai Avidan, Gabriel Brostow, Moustapha Cissé, and Kevin J Liang. The collaborative work with these coauthors has contributed to a wide range of publications.

Publications by Tal Hassner are often featured in prominent venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Nature Machine Intelligence
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

In addition to journal and conference papers, Hassner has contributed extensively to book publications with Springer Science+Business Media. Notably, Hassner has numerous chapters in titles such as Computer Vision - ECCV 2022 and Image Analysis and Processing - ICIAP 2022, reflecting their continued involvement in advancing comprehensive research dissemination.

Best Publications

  • Face recognition in unconstrained videos with matched background similarity

    Lior Wolf;Tal Hassner;Itay Maoz

  • Age and Gender Estimation of Unfiltered Faces

    Eran Eidinger;Roee Enbar;Tal Hassner

  • Effective face frontalization in unconstrained images

    Tal Hassner;Shai Harel;Eran Paz;Roee Enbar

  • Deep Face Recognition: A Survey

    Iacopo Masi;Yue Wu;Tal Hassner;Prem Natarajan

  • Descriptor Based Methods in the Wild

    Lior Wolf;Tal Hassner;Yaniv Taigman

  • Violent flows: Real-time detection of violent crowd behavior

    Tal Hassner;Yossi Itcher;Orit Kliper-Gross

  • FSGAN: Subject Agnostic Face Swapping and Reenactment

    Yuval Nirkin;Yosi Keller;Tal Hassner

  • Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network

    Anh Tuan Tran;Tal Hassner;Iacopo Masi;Gerard Medioni

  • Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics

    L. Wolf;T. Hassner;Y. Taigman

  • Do We Really Need to Collect Millions of Faces for Effective Face Recognition

    Iacopo Masi;Anh Tuan Tran;Jatuporn Toy Leksut;Tal Hassner;Tal Hassner

  • Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

    Gil Levi;Tal Hassner

  • Similarity scores based on background samples

    Lior Wolf;Tal Hassner;Yaniv Taigman

  • On Face Segmentation, Face Swapping, and Face Perception

    Yuval Nirkin;Iacopo Masi;Anh Tran Tuan;Tal Hassner

  • DeepFake Detection Based on Discrepancies Between Faces and their Context.

    Yuval Nirkin;Lior Wolf;Yosi Keller;Tal Hassner

  • Motion interchange patterns for action recognition in unconstrained videos

    Orit Kliper-Gross;Yaron Gurovich;Tal Hassner;Lior Wolf

  • Multiple One-Shots for Utilizing Class Label Information.

    Yaniv Taigman;Lior Wolf;Tal Hassner

  • Facial Landmark Detection with Tweaked Convolutional Neural Networks

    Yue Wu;Tal Hassner;KangGeon Kim;Gerard Medioni

  • Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

    Minghui Liao;Guan Pang;Jing Huang;Tal Hassner

  • HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

    Yuval Nirkin;Lior Wolf;Tal Hassner

  • Face recognition using deep multi-pose representations

    Wael AbdAlmageed;Yue Wu;Stephen Rawls;Shai Harel

  • Precise Detection in Densely Packed Scenes

    Eran Goldman;Roei Herzig;Aviv Eisenschtat;Jacob Goldberger

  • Viewing Real-World Faces in 3D

    Tal Hassner

  • Extreme 3D Face Reconstruction: Seeing Through Occlusions

    Anh Tuan Tran;Tal Hassner;Iacopo Masi;Eran Paz

  • LEEP: A New Measure to Evaluate Transferability of Learned Representations

    Cuong V. Nguyen;Tal Hassner;Matthias Seeger;Cedric Archambeau

Frequent Co-Authors

Gerard Medioni
Gerard Medioni Amazon (United States)
Lior Wolf
Lior Wolf Tel Aviv University
Ronen Basri
Ronen Basri Weizmann Institute of Science
Prem Natarajan
Prem Natarajan Capital One (United States)
Lihi Zelnik-Manor
Lihi Zelnik-Manor Technion – Israel Institute of Technology
Jongmoo Choi
Jongmoo Choi University of Southern California
Jing Huang
Jing Huang Peking University
Nachum Dershowitz
Nachum Dershowitz Tel Aviv University
Shai Avidan
Shai Avidan Tel Aviv University
Yaron Lipman
Yaron Lipman Facebook (United States)

External Links

Personal website of Tal Hassner Google Scholar page

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