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Takeo Kanade
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Computer Science
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2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Best Scientists 171 823 754 494 442 926 147505
Computer Science 171 16 15 7 6 880 142863

Takeo Kanade publications per year

The chart shows the history of publications by Takeo Kanade between 1973 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Takeo Kanade published across 52 years, from 1973 to 2024, averaging 17.8 papers a year. Output peaked at 84 publications in 2009. 2 of the 927 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1973 to 2024. Vertical axis: number of publications, 0 to 84. Peak 84 publications in 2009. 1973: 2 publications 1974: 2 publications 1975: 1 publication 1976: 0 publications 1977: 6 publications 1978: 0 publications 1979: 2 publications 1980: 4 publications 1981: 6 publications 1982: 3 publications 1983: 13 publications 1984: 6 publications 1985: 10 publications 1986: 11 publications 1987: 13 publications 1988: 23 publications 1989: 25 publications 1990: 15 publications 1991: 18 publications 1992: 24 publications 1993: 10 publications 1994: 19 publications 1995: 24 publications 1996: 20 publications 1997: 29 publications 1998: 39 publications 1999: 33 publications 2000: 35 publications 2001: 28 publications 2002: 21 publications 2003: 34 publications 2004: 46 publications 2005: 39 publications 2006: 24 publications 2007: 26 publications 2008: 29 publications 2009: 84 publications 2010: 23 publications 2011: 37 publications 2012: 31 publications 2013: 25 publications 2014: 18 publications 2015: 17 publications 2016: 17 publications 2017: 15 publications 2018: 6 publications 2019: 6 publications 2020: 4 publications 2021: 1 publication 2022: 1 publication 2023: 1 publication 2024: 1 publication
1973 2024

927 publications in total across all disciplines

View publications per year as a table
Takeo Kanade: publications per year, 1973 to 2024
Year Publications
1973 2
1974 2
1975 1
1976 0
1977 6
1978 0
1979 2
1980 4
1981 6
1982 3
1983 13
1984 6
1985 10
1986 11
1987 13
1988 23
1989 25
1990 15
1991 18
1992 24
1993 10
1994 19
1995 24
1996 20
1997 29
1998 39
1999 33
2000 35
2001 28
2002 21
2003 34
2004 46
2005 39
2006 24
2007 26
2008 29
2009 84
2010 23
2011 37
2012 31
2013 25
2014 18
2015 17
2016 17
2017 15
2018 6
2019 6
2020 4
2021 1
2022 1
2023 1
2024 1
Total 927
Download as CSV

Takeo Kanade publications per year - data summary

  • Takeo Kanade, a Computer Science scholar from Carnegie Mellon University, has 927 publications recorded across 52 years, from 1973 to 2024.
  • The oldest publication on record dates to 1973 and the most recent to 2024.
  • The most productive year is 2009, with 84 publications.
  • The least productive years with any output are 1975, 2021, 2022, 2023 and others, with 1 publication each.
  • 2 of the 52 years in the span carry no publications at all (1976 and 1978).
  • The rate of publication averages 17.8 papers per year over the whole span, or 18.5 per year counting only the 50 years with at least one publication.
  • The last 5 years on the chart (2020-2024) hold 8 publications, <1% of the career total.
  • Split into equal eras - 1973-1990: 142 publications (7.9 per year); 1991-2008: 498 publications (27.7 per year); 2009-2024: 287 publications (17.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Takeo Kanade 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 Takeo Kanade 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, 872–881 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: 880 publications — 99th percentile

99% 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
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 4 880
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

Takeo Kanade 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.
  • Takeo Kanade, a Computer Science scholar from Carnegie Mellon University, records 880 publications - the 99th percentile of the discipline.
  • 99% of ranked Computer Science scientists score the same or lower than Takeo Kanade, and about 1% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Takeo Kanade 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).

Takeo Kanade 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 Takeo Kanade 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: 171 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+ 98 171
Download as CSV

Takeo Kanade 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.
  • Takeo Kanade, a Computer Science scholar from Carnegie Mellon University, records 171 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Takeo Kanade, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Takeo Kanade 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 Computer Science in United States Leader Award
  • 2025 - Research.com Best 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
  • 2017 - IEEE Founders Medal For pioneering and seminal contributions to computer vision and robotics for automotive safety
  • 2010 - ACM AAAI Allen Newell Award For fundamental contributions to research in computer vision and robotics, for applications to driving, 3D vision and quality of life technology, and for promoting the interaction between computer science and other disciplines, most notably robotics.
  • 2008 - Benjamin Franklin Medal, Franklin Institute
  • 2004 - Fellow of the American Academy of Arts and Sciences
  • 1999 - ACM Fellow For broad contributions to research in and the advancement of computer science and robotics, and for service to the ACM and the greater computer science and robotics community.
  • 1997 - Member of the National Academy of Engineering For contributions to computer vision and robotics.
  • 1992 - IEEE Fellow For contributions to vision, manipulators, autonomous mobile robots, and sensors.
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

Takeo Kanade is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields, primarily in Engineering and Pharmacology, Toxicology and Pharmaceutics. Subfields of study linked to their work include Pharmaceutical Science, Analytical Chemistry, Human Factors and Ergonomics, Mechanics of Materials, and Aerospace Engineering.

Their published research covers a variety of topics such as Drug Solubility and Delivery Systems, Advanced Drug Delivery Systems, Analytical Methods in Pharmaceuticals, Digital Accessibility for Disabilities, Thermography and Photoacoustic Techniques, Calibration and Measurement Techniques, and Fire Effects on Concrete Materials.

Recent papers authored or co-authored by Takeo Kanade include the following:

  • Formulation and Evaluation of Sublingual Tablets of Meclizine Hydrochloride, 2023, International Journal of Newgen Research in Pharmacy & Healthcare
  • Thermoelastic Stress Measurement Using SVD Thermo-Component Analysis, 2022, Experimental Mechanics

Frequent collaborators in their research are Ankita Gupta, G. N. Darwhekar, Kuldeep Vayadande, Ashitosh Wankhede, and Purva Sarvade.

Takeo Kanade's work has appeared in publication venues including:

  • International Journal of Newgen Research in Pharmacy & Healthcare
  • Experimental Mechanics

Throughout their career, they have received several recognitions and honors:

  • IEEE Founders Medal (2017) for pioneering and seminal contributions to computer vision and robotics for automotive safety
  • ACM AAAI Allen Newell Award (2010) for fundamental contributions to computer vision and robotics, especially applications to driving, 3D vision, quality of life technology, and interdisciplinary work involving computer science and robotics
  • Benjamin Franklin Medal from the Franklin Institute (2008)
  • Fellow of the American Academy of Arts and Sciences (2004)
  • ACM Fellow (1999) for contributions to research, advancement, and service in computer science and robotics
  • Member of the National Academy of Engineering (1997) for contributions to computer vision and robotics
  • IEEE Fellow (1992) for contributions to vision, manipulators, autonomous mobile robots, and sensors
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (1990)

Best Publications

  • An iterative image registration technique with an application to stereo vision

    Bruce D. Lucas;Takeo Kanade

  • Neural network-based face detection

    H.A. Rowley;S. Baluja;T. Kanade

  • The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression

    Patrick Lucey;Jeffrey F. Cohn;Takeo Kanade;Jason Saragih

  • Shape and motion from image streams under orthography: a factorization method

    Carlo Tomasi;Takeo Kanade

  • A stereo matching algorithm with an adaptive window: theory and experiment

    T. Kanade;M. Okutomi

  • Comprehensive database for facial expression analysis

    T. Kanade;J.F. Cohn;Yingli Tian

  • Convolutional Pose Machines

    Shih-En Wei;Varun Ramakrishna;Takeo Kanade;Yaser Sheikh

  • Multi-PIE

    Ralph Gross;Iain Matthews;Jeffrey Cohn;Takeo Kanade

  • Recognizing action units for facial expression analysis

    Y.-I. Tian;T. Kanade;J.F. Cohn

  • A System for Video Surveillance and Monitoring

    Robert T. Collins;Alan J. Lipton;Takeo Kanade;Hironobu Fujiyoshi

  • Limits on super-resolution and how to break them

    S. Baker;T. Kanade

  • A statistical method for 3D object detection applied to faces and cars

    H. Schneiderman;T. Kanade

  • A multiple-baseline stereo

    M. Okutomi;T. Kanade

  • Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming

    Yuichi Ohta;Takeo Kanade

  • Color information for region segmentation

    Yu-Ichi Ohta;Takeo Kanade;Toshiyuki Sakai

  • Picture Processing System by Computer Complex and Recognition of Human Faces

    Takeo Kanade

  • Vision and navigation for the Carnegie-Mellon Navlab

    C. Thorpe;M.H. Hebert;T. Kanade;S.A. Shafer

  • Kalman Filter-based Algorithms for Estimating Depth from Image Sequences

    Larry Matthies;Richard Szeliski;Takeo Kanade

  • A physical approach to color image understanding

    Gudrun J. Klinker;Steven A. Shafer;Takeo Kanade

  • Shape and motion from image streams: a factorization method

    Carlo Tomasi

  • Limits on super-resolution and how to break them

    S. Baker;T. Kanade

Frequent Co-Authors

Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Josef Kittler
Josef Kittler University of Surrey
David Hutchison
David Hutchison Lancaster University
Simon Baker
Simon Baker Microsoft (United States)
Martial Hebert
Martial Hebert Carnegie Mellon University
Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Charles E. Thorpe
Charles E. Thorpe Carnegie Mellon University
Yaser Sheikh
Yaser Sheikh Facebook (United States)
Satoshi Kagami
Satoshi Kagami National Institute of Advanced Industrial Science and Technology
Robert T. Collins
Robert T. Collins Pennsylvania State University

External Links

Wikipedia of Takeo Kanade Personal website of Takeo Kanade Google Scholar page

If you think any of the details on this page are incorrect, let us know.

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Best Scientists Citing Takeo Kanade

Katsushi Ikeuchi

Katsushi Ikeuchi

Microsoft (United States)

Publications: 173

Jeffrey F. Cohn

Jeffrey F. Cohn

University of Pittsburgh

Publications: 151

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 148

Maja Pantic

Maja Pantic

Imperial College London

Publications: 139

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 133

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 128

Mohan M. Trivedi

Mohan M. Trivedi

University of California, San Diego

Publications: 110

Simon Lucey

Simon Lucey

University of Adelaide

Publications: 106

Richard Szeliski

Richard Szeliski

University of Washington

Publications: 105

Qiang Ji

Qiang Ji

Rensselaer Polytechnic Institute

Publications: 101

Mubarak Shah

Mubarak Shah

University of Central Florida

Publications: 94

Luc Van Gool

Luc Van Gool

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

Publications: 93

Martial Hebert

Martial Hebert

Carnegie Mellon University

Publications: 87

Pradeep K. Khosla

Pradeep K. Khosla

University of California, San Diego

Publications: 85

Sing Bing Kang

Sing Bing Kang

Zillow Group (United States)

Publications: 84

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 84

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