Rama Chellappa

839 citations
21 papers · 563 indexed · h-index 12

Impact in

    • Face recognition and analysis
    • Face and Expression Recognition
    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Biometric Identification and Security

Papers in

Rama Chellappa

17 papers receiving 527 citations

Peers

Rama Chellappa
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 494
  • Signal Processing 157
  • Media Technology 53
  • Computational Mechanics 53
  • Aerospace Engineering 53
Replace Jin-Jang Leou with:
Jin-Jang Leou Taiwan
Gaurav Aggarwal United States
Long-Wen Chang Taiwan
A. Aydın Alatan Türkiye
Rong-Xiang Hu China
Snježana Rimac-Drlje Croatia
Baocai Yin China
Zuofeng Zhong China
Rama Chellappa relative to Jin-Jang Leou Taiwan Jin-Jang Leou's profile →
Citations per field
00.5×
Jin-Jang Leou · 1×
Citations per year

Countries citing papers authored by Rama Chellappa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rama Chellappa Line = papers co-authored together Rama Chellappa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20250
6 20241
7 20216
8 20137
9 201251
10 20125
11 201295
12 201213
13 201264
14 200823
15 200836
16 200642
17 200417
18 200256
19 200139
20 199237

About Rama Chellappa

Rama Chellappa is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Computational Mechanics, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 563 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Face and Expression Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (2 papers), COVID-19 diagnosis using AI (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (494 citations), Signal Processing (157 citations), Media Technology (53 citations), Computational Mechanics (53 citations) and Aerospace Engineering (53 citations). Rama Chellappa has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Huy Tho Ho, Pavan Turaga, Baoxin Li, Soma Biswas, Namrata Vaswani, Yitong Zhou, Vishal M. Patel, Tao Wu, P. Jonathon Phillips and Sima Taheri. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Pattern Analysis and Machine Intelligence, IT Professional and Journal of the Optical Society of America A.

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.

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