Austin Reiter
Impact in
-
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Human Pose and Action Recognition 5
- Advanced Vision and Imaging 4
- Co-authors
- Gregory D. HagerTae Soo KimColin LeaRenè VidalM. D. FlynnMuyinatu A. Lediju BellDerek AllmanTrac D. Tran
- Journals
- IEEE Transactions on Medical Imaging (3 papers)Critical Care Medicine (2 papers)JAMA Network Open (1 paper)IEEE Robotics and Automation Letters (1 paper)The International Journal of Robotics Research (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Austin Reiter
46 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 1.4k
- Human-Computer Interaction 205
- Artificial Intelligence 770
- Biomedical Engineering 998
- Signal Processing 205
Countries citing papers authored by Austin Reiter
This map shows the geographic impact of Austin Reiter'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 Austin Reiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Reiter more than expected).
Fields of papers citing papers by Austin Reiter
This network shows the impact of papers produced by Austin Reiter. 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 Austin Reiter. The network helps show where Austin Reiter may publish in the future.
Co-authors
The 25 scholars most cited alongside Austin Reiter, 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 | 2021 | 4 | |
| 2 | 2019 | 68 | |
| 3 | 2019 | 102 | |
| 4 | 2019 | 16 | |
| 5 | 2019 | 8 | |
| 6 | 2018 | 51 | |
| 7 | 2018 | 57 | |
| 8 | 2017 | 30 | |
| 9 | Transferring Face Verification Nets To Pain and Expression Regression. | 2017 | 4 |
| 10 | 2017 | 7 | |
| 11 | 2017 | 30 | |
| 12 | Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions. | 2016 | 1 |
| 13 | 2016 | 8 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 8 | |
| 16 | 2015 | 12 | |
| 17 | 2013 | 25 | |
| 18 | 2012 | 51 | |
| 19 | 2011 | 14 | |
| 20 | 2011 | 3 |
About Austin Reiter
Austin Reiter is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology, Aerospace Engineering, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Soft Robotics and Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Ultrasound Imaging and Elastography (5 papers), Human Pose and Action Recognition (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Advanced Vision and Imaging (4 papers) and Thermography and Photoacoustic Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (205 citations), Artificial Intelligence (770 citations), Biomedical Engineering (998 citations) and Signal Processing (205 citations). Austin Reiter has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Gregory D. Hager, Tae Soo Kim, Colin Lea, Renè Vidal, M. D. Flynn, Muyinatu A. Lediju Bell, Derek Allman, Trac D. Tran, Peter K. Allen and Arun Asokan Nair. Their work appears in journals such as IEEE Transactions on Medical Imaging, Critical Care Medicine, JAMA Network Open, IEEE Robotics and Automation Letters and The International Journal of Robotics Research.
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.