Austin Abrams
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
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- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 6
- Advanced Vision and Imaging 4
- Image Enhancement Techniques 1
- Multimodal Machine Learning Applications 1
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- Anomaly Detection Techniques and Applications 2
- Computational Physics and Python Applications 1
- Co-authors
- Robert Pless (12 shared papers)Nathan Jacobs (4 shared papers)Andrew D. Richardson (1 shared paper)B. H. Braswell (1 shared paper)Ross A. Coleman (1 shared paper)Wah Chiu (1 shared paper)Corey F. Hryc (1 shared paper)Tao Ju (1 shared paper)
- Journals
- Journal of Structural Biology (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Austin Abrams
14 papers receiving 250 citations
Peers
Comparison fields: 5 of 66
- Structural Biology 57
- Computer Vision and Pattern Recognition 108
- Ecological Modeling 16
- Surfaces, Coatings and Films 21
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Austin Abrams
This map shows the geographic impact of Austin Abrams'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 Abrams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Abrams more than expected).
Fields of papers citing papers by Austin Abrams
This network shows the impact of papers produced by Austin Abrams. 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 Abrams. The network helps show where Austin Abrams may publish in the future.
Co-authors
The 22 scholars most cited alongside Austin Abrams, 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 | 2011 | 77 | |
| 2 | 2009 | 68 | |
| 3 | 2022 | 29 | |
| 4 | 2013 | 18 | |
| 5 | 2012 | 12 | |
| 6 | 2010 | 10 | |
| 7 | 2012 | 9 | |
| 8 | 2015 | 7 | |
| 9 | 2013 | 6 | |
| 10 | 2010 | 5 | |
| 11 | 2014 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2011 | 3 |
About Austin Abrams
Austin Abrams is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Molecular Biology and Automotive Engineering, having authored 14 papers that have together received 255 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Vision and Imaging (4 papers), Remote-Sensing Image Classification (2 papers), Anomaly Detection Techniques and Applications (2 papers), Image Enhancement Techniques (1 paper), Computational Physics and Python Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Structural Biology (57 citations), Computer Vision and Pattern Recognition (108 citations), Ecological Modeling (16 citations), Surfaces, Coatings and Films (21 citations) and Computer Graphics and Computer-Aided Design (10 citations). Austin Abrams has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert Pless, Nathan Jacobs, Andrew D. Richardson, B. H. Braswell, Ross A. Coleman, Wah Chiu, Corey F. Hryc, Tao Ju, Michael P. Marsh and Matthew L. Baker. Their work appears in journals such as Journal of Structural Biology, ACM Transactions on Multimedia Computing Communications and Applications and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.