Miriam Cha
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Multimodal Machine Learning Applications 2
- Image and Signal Denoising Methods 2
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- Synthetic Aperture Radar (SAR) Applications and Techniques 6
- Advanced SAR Imaging Techniques 5
- Co-authors
- Youngjune Gwon (6 shared papers)H. T. Kung (6 shared papers)Elizabeth Godoy (1 shared paper)Thomas F. Quatieri (1 shared paper)James R. Williamson (1 shared paper)Charlie K. Dagli (1 shared paper)Pooya Khorrami (1 shared paper)Marios Savvides (1 shared paper)
- Journals
- The Journal of Trauma: Injury, Infection, and Critical Care (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Miriam Cha
18 papers receiving 415 citations
Peers
Comparison fields: 5 of 85
- Experimental and Cognitive Psychology 116
- Signal Processing 91
- Computer Vision and Pattern Recognition 147
- Applied Psychology 34
- Health Informatics 8
Countries citing papers authored by Miriam Cha
This map shows the geographic impact of Miriam Cha'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 Miriam Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Cha more than expected).
Fields of papers citing papers by Miriam Cha
This network shows the impact of papers produced by Miriam Cha. 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 Miriam Cha. The network helps show where Miriam Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Cha, 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 | 146 | |
| 2 | 2010 | 85 | |
| 3 | 2018 | 40 | |
| 4 | 2019 | 37 | |
| 5 | 2021 | 28 | |
| 6 | 2015 | 28 | |
| 7 | 2017 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2016 | 7 | |
| 10 | 2012 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 1 |
About Miriam Cha
Miriam Cha is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Media Technology and Environmental Engineering, having authored 18 papers that have together received 435 indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers), Advanced SAR Imaging Techniques (5 papers), Remote-Sensing Image Classification (3 papers), Multimodal Machine Learning Applications (2 papers), Soil Moisture and Remote Sensing (2 papers), Speech and Audio Processing (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (116 citations), Signal Processing (91 citations), Computer Vision and Pattern Recognition (147 citations), Applied Psychology (34 citations) and Health Informatics (8 citations). Miriam Cha has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Youngjune Gwon, H. T. Kung, Elizabeth Godoy, Thomas F. Quatieri, James R. Williamson, Charlie K. Dagli, Pooya Khorrami, Marios Savvides, Patrick J. Wolfe and Arjun Majumdar. Their work appears in journals such as The Journal of Trauma: Injury, Infection, and Critical Care, IEEE Transactions on Geoscience and Remote Sensing, Proceedings of the International AAAI Conference on Web and Social Media, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.