2026 Takeo Kanade: Computer Science Researcher – H-Index, Publications & Awards

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 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.

32 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.

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.

30 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.

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

18363
Citations
Neural network-based face detection

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

6381
Citations
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

4885
Citations
Shape and motion from image streams under orthography: a factorization method

Carlo Tomasi;Takeo Kanade

4262
Citations
A stereo matching algorithm with an adaptive window: theory and experiment

T. Kanade;M. Okutomi

3592
Citations
Comprehensive database for facial expression analysis

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

3511
Citations
Convolutional Pose Machines

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

3268
Citations
Multi-PIE

Ralph Gross;Iain Matthews;Jeffrey Cohn;Takeo Kanade

2873
Citations
Recognizing action units for facial expression analysis

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

2386
Citations
A System for Video Surveillance and Monitoring

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

1983
Citations
Limits on super-resolution and how to break them

S. Baker;T. Kanade

1944
Citations
A statistical method for 3D object detection applied to faces and cars

H. Schneiderman;T. Kanade

1942
Citations
A multiple-baseline stereo

M. Okutomi;T. Kanade

1682
Citations
Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming

Yuichi Ohta;Takeo Kanade

1583
Citations
Color information for region segmentation

Yu-Ichi Ohta;Takeo Kanade;Toshiyuki Sakai

1547
Citations
Picture Processing System by Computer Complex and Recognition of Human Faces

Takeo Kanade

1297
Citations
Vision and navigation for the Carnegie-Mellon Navlab

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

1234
Citations
Kalman Filter-based Algorithms for Estimating Depth from Image Sequences

Larry Matthies;Richard Szeliski;Takeo Kanade

1075
Citations
A physical approach to color image understanding

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

1070
Citations
Shape and motion from image streams: a factorization method

Carlo Tomasi

519
Citations
Limits on super-resolution and how to break them

S. Baker;T. Kanade

291
Citations

Frequent Co-Authors

Jeffrey F. Cohn University of Pittsburgh

Josef Kittler University of Surrey

David Hutchison Lancaster University

Simon Baker Microsoft (United States)

Martial Hebert Carnegie Mellon University

Katsushi Ikeuchi Microsoft (United States)

Charles E. Thorpe Carnegie Mellon University

Yaser Sheikh Facebook (United States)

Satoshi Kagami National Institute of Advanced Industrial Science and Technology

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.

Related Online Degrees & Career Pathways

Expanding your studies in Computer Science can open many doors to related online degrees and emerging career pathways. Areas such as engineering, physics, and data science are increasingly relevant in today’s technology-driven job market. Many universities now offer flexible, affordable programs for students worldwide. For example, if sustainability and technology interest you, an environmental engineering bachelor's degree online may be an ideal fit.

Engineering degrees, especially in mechanical fields, can be a substantial investment. Exploring the mechanical engineering cost of education can help you plan your academic journey while managing expenses. Similarly, pursuing an online bachelor's degree in physics blends computational skills with a strong scientific foundation—vital for roles in research and technology.

Data science is another rapidly growing field closely related to computer science. Many ask, what is the cheapest data science course in the us? as affordability is an important factor. Exploring these affordable online degree options can help you build a flexible career across industries at the intersection of technology, analytics, and innovation.