Rama Chellappa
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Signal Processing top 0.02%
- Biometric Identification and Security
Papers in
-
- Advanced Vision and Imaging 157
- Face and Expression Recognition 132
- Face recognition and analysis 130
- Advanced Image and Video Retrieval Techniques 118
- Video Surveillance and Tracking Methods 104
- Human Pose and Action Recognition 87
- Co-authors
- Vishal M. Patel (87 shared papers)P. Jonathon Phillips (16 shared papers)Wenyi Zhao (4 shared papers)Azriel Rosenfeld (10 shared papers)Charles L. Wilson (2 shared papers)Saad Sirohey (1 shared paper)S. Kevin Zhou (26 shared papers)Pavan Turaga (24 shared papers)
- Journals
- IEEE Transactions on Image Processing (48 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (40 papers)International Journal of Computer Vision (17 papers)Journal of the Optical Society of America A (14 papers)Computer Vision and Image Understanding (10 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Rama Chellappa
746 papers receiving 36.8k citations
Rama Chellappa's Hit Papers
Peers
Comparison fields: 5 of 211
- Computer Vision and Pattern Recognition 29.9k
- Signal Processing 6.4k
- Media Technology 4.5k
- Human-Computer Interaction 1.8k
- Computer Graphics and Computer-Aided Design 913
Countries citing papers authored by Rama Chellappa
This map shows the geographic impact of Rama Chellappa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rama Chellappa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rama Chellappa more than expected).
Fields of papers citing papers by Rama Chellappa
This network shows the impact of papers produced by Rama Chellappa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rama Chellappa. The network helps show where Rama Chellappa may publish in the future.
Co-authors
The 25 scholars most cited alongside Rama Chellappa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 785 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Face recognition Hit paper breakdown → | 2003 | 4006 |
| 2 | Human and machine recognition of faces: a survey Hit paper breakdown → | 1995 | 1735 |
| 3 | Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group Hit paper breakdown → | 2014 | 1040 |
| 4 | Machine Recognition of Human Activities: A Survey Hit paper breakdown → | 2008 | 947 |
| 5 | Entropy rate superpixel segmentation Hit paper breakdown → | 2011 | 769 |
| 6 | A method for enforcing integrability in shape from shading algorithms Hit paper breakdown → | 1988 | 686 |
| 7 | Domain adaptation for object recognition: An unsupervised approach Hit paper breakdown → | 2011 | 669 |
| 8 | Discriminant analysis for recognition of human face images Hit paper breakdown → | 1997 | 611 |
| 9 | Visual Domain Adaptation: A survey of recent advances Hit paper breakdown → | 2015 | 577 |
| 10 | Frontal to profile face verification in the wild Hit paper breakdown → | 2016 | 475 |
| 11 | 2004 | 461 | |
| 12 | Generate to Adapt: Aligning Domains Using Generative Adversarial Networks Hit paper breakdown → | 2018 | 413 |
| 13 | 2004 | 411 | |
| 14 | 1985 | 344 | |
| 15 | Deep Multitask Learning for Railway Track Inspection Hit paper breakdown → | 2016 | 343 |
| 16 | 2010 | 326 | |
| 17 | 1983 | 315 | |
| 18 | 1986 | 300 | |
| 19 | FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition Hit paper breakdown → | 2017 | 295 |
| 20 | Cancelable Biometrics: A review Hit paper breakdown → | 2015 | 289 |
About Rama Chellappa
Rama Chellappa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Computational Mechanics, having authored 785 papers that have together received 39.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (157 papers), Face and Expression Recognition (132 papers), Face recognition and analysis (130 papers), Advanced Image and Video Retrieval Techniques (118 papers), Video Surveillance and Tracking Methods (104 papers), Human Pose and Action Recognition (87 papers), Robotics and Sensor-Based Localization (72 papers) and Sparse and Compressive Sensing Techniques (69 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (29.9k citations), Signal Processing (6.4k citations), Media Technology (4.5k citations), Human-Computer Interaction (1.8k citations) and Computer Graphics and Computer-Aided Design (913 citations). Rama Chellappa has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Vishal M. Patel, P. Jonathon Phillips, Wenyi Zhao, Azriel Rosenfeld, Charles L. Wilson, Saad Sirohey, S. Kevin Zhou, Pavan Turaga, Raviteja Vemulapalli and Ruonan Li. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Journal of the Optical Society of America A and Computer Vision and Image Understanding.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.