Charles Otto
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Signal Processing top 1%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 10
- Face and Expression Recognition 9
- Video Surveillance and Tracking Methods 3
- Generative Adversarial Networks and Image Synthesis 1
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- Biometric Identification and Security 6
- Co-authors
- Anil K. Jain (7 shared papers)Hu Han (3 shared papers)D. Wang (2 shared papers)Xiaoming Liu (1 shared paper)Nathan D. Kalka (3 shared papers)James A. Duncan (3 shared papers)Patrick Grother (1 shared paper)Tim Miller (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Charles Otto
10 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 958
- Signal Processing 467
- Artificial Intelligence 157
- Computational Mathematics 2
- Dermatology 26
Countries citing papers authored by Charles Otto
This map shows the geographic impact of Charles Otto'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 Charles Otto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Otto more than expected).
Fields of papers citing papers by Charles Otto
This network shows the impact of papers produced by Charles Otto. 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 Charles Otto. The network helps show where Charles Otto may publish in the future.
Co-authors
The 12 scholars most cited alongside Charles Otto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | IARPA Janus Benchmark - C: Face Dataset and Protocol Hit paper breakdown → | 2018 | 364 |
| 2 | 2014 | 227 | |
| 3 | 2013 | 157 | |
| 4 | 2014 | 123 | |
| 5 | 2017 | 100 | |
| 6 | 2016 | 77 | |
| 7 | 2015 | 6 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 2 | |
| 10 | 2014 | 1 |
About Charles Otto
Charles Otto is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face recognition and analysis (10 papers), Face and Expression Recognition (9 papers), Biometric Identification and Security (6 papers), Video Surveillance and Tracking Methods (3 papers), Evolutionary Psychology and Human Behavior (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (958 citations), Signal Processing (467 citations), Artificial Intelligence (157 citations), Computational Mathematics (2 citations) and Dermatology (26 citations). Charles Otto has collaborated with scholars based in United States and India. Frequent co-authors include Anil K. Jain, Hu Han, D. Wang, Xiaoming Liu, Nathan D. Kalka, James A. Duncan, Patrick Grother, Tim Miller, Janet Anderson and Brendan Klare. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Forensics and Security.
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.