Stephen Rawls
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 5%
- Biometric Identification and Security
Papers in ⓘ
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- Handwritten Text Recognition Techniques 7
- Multimodal Machine Learning Applications 4
- Face recognition and analysis 4
- Face and Expression Recognition 3
- Image Processing and 3D Reconstruction 2
- Image Retrieval and Classification Techniques 2
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- Natural Language Processing Techniques 4
- Co-authors
- Prem Natarajan (10 shared papers)Iacopo Masi (3 shared papers)Gérard Medioni (3 shared papers)Yue Wu (4 shared papers)Wael AbdAlmageed (3 shared papers)Jongmoo Choi (2 shared papers)Shai Har-El (2 shared papers)Tal Hassner (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IRIS Research product catalog (Sapienza University of Rome) (1 paper)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Stephen Rawls
14 papers receiving 386 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 371
- Signal Processing 168
- Artificial Intelligence 62
- Media Technology 16
- Computational Mechanics 17
Countries citing papers authored by Stephen Rawls
This map shows the geographic impact of Stephen Rawls'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 Stephen Rawls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Rawls more than expected).
Fields of papers citing papers by Stephen Rawls
This network shows the impact of papers produced by Stephen Rawls. 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 Stephen Rawls. The network helps show where Stephen Rawls may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Rawls, 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 | 2016 | 166 | |
| 2 | 2016 | 92 | |
| 3 | 2018 | 66 | |
| 4 | 2016 | 21 | |
| 5 | 2017 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2019 | 10 | |
| 8 | 2017 | 8 | |
| 9 | 2018 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2010 | 1 |
About Stephen Rawls
Stephen Rawls is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Management Science and Operations Research, having authored 14 papers that have together received 408 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (7 papers), Natural Language Processing Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers), Image Processing and 3D Reconstruction (2 papers), Biometric Identification and Security (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Signal Processing (168 citations), Artificial Intelligence (62 citations), Media Technology (16 citations) and Computational Mechanics (17 citations). Stephen Rawls has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Prem Natarajan, Iacopo Masi, Gérard Medioni, Yue Wu, Wael AbdAlmageed, Jongmoo Choi, Shai Har-El, Tal Hassner, Ram Nevatia and Jungyeon Kim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IRIS Research product catalog (Sapienza University of Rome).
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.