Joshua Gleason
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Anesthesiology and Pain Medicine top 10%
- Pulmonary and Respiratory Medicine
- Aerospace Engineering
- Co-authors
- Carlos D. CastilloRama ChellappaTerry FongGeorge BebisAra NefianErik D. BartonJingxiao ZhengJun-Cheng Chen
- Topics
- Face recognition and analysis (7 papers)Face and Expression Recognition (5 papers)Video Surveillance and Tracking Methods (4 papers)
- Journals
- Western Journal of Emergency MedicineIEEE Transactions on Biometrics Behavior and Identity Science2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- Partner nations
- United States
In The Last Decade
Joshua Gleason
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 220
- Signal Processing 51
- Anesthesiology and Pain Medicine 42
- Pulmonary and Respiratory Medicine 40
- Aerospace Engineering 38
Countries citing papers authored by Joshua Gleason
This map shows the geographic impact of Joshua Gleason'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 Joshua Gleason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Gleason more than expected).
Fields of papers citing papers by Joshua Gleason
This network shows the impact of papers produced by Joshua Gleason. 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 Joshua Gleason. The network helps show where Joshua Gleason may publish in the future.
Co-authorship network of co-authors of Joshua Gleason
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Gleason. A scholar is included among the top collaborators of Joshua Gleason based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joshua Gleason. Joshua Gleason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 20 | |
| 6 | An adversarial learning algorithm for mitigating gender bias in face recognition. | 1 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 117 | |
| 10 | 48 | |
| 11 | 96 |
About Joshua Gleason
Joshua Gleason is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Anesthesiology and Pain Medicine, having authored 11 papers that have together received 312 indexed citations. Recurring topics across this work include Face recognition and analysis (7 papers), Face and Expression Recognition (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Anesthesiology and Pain Medicine (42 citations) and Signal Processing (51 citations). Joshua Gleason has collaborated with scholars based in United States. Frequent co-authors include Carlos D. Castillo, Rama Chellappa, Terry Fong, George Bebis, Ara Nefian, Erik D. Barton, Jingxiao Zheng, Jun-Cheng Chen, Ankan Bansal and Boyu Lu. Their work appears in journals such as Western Journal of Emergency Medicine, IEEE Transactions on Biometrics Behavior and Identity Science and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.