Jonah Philion
Impact in
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- Computer Graphics and Visualization Techniques
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Sanja Fidler (4 shared papers)Or Litany (2 shared papers)Leonidas Guibas (1 shared paper)Davis Rempe (1 shared paper)Jan Kautz (1 shared paper)Zian Wang (1 shared paper)Jose M. Álvarez (3 shared papers)Zhiding Yu (2 shared papers)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Jonah Philion
5 papers receiving 147 citations
Peers
Comparison fields: 5 of 41
- Computer Graphics and Computer-Aided Design 31
- Automotive Engineering 59
- Computer Vision and Pattern Recognition 70
- Software 10
- Safety, Risk, Reliability and Quality 17
Countries citing papers authored by Jonah Philion
This map shows the geographic impact of Jonah Philion'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 Jonah Philion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonah Philion more than expected).
Fields of papers citing papers by Jonah Philion
This network shows the impact of papers produced by Jonah Philion. 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 Jonah Philion. The network helps show where Jonah Philion may publish in the future.
Co-authors
The 20 scholars most cited alongside Jonah Philion, 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 | 2022 | 78 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 16 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 7 |
About Jonah Philion
Jonah Philion is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Control and Systems Engineering, Artificial Intelligence and Environmental Engineering, having authored 5 papers that have together received 149 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (2 papers), Advanced Vision and Imaging (2 papers), Robotics and Sensor-Based Localization (1 paper), Machine Learning and Algorithms (1 paper), Video Surveillance and Tracking Methods (1 paper), Adversarial Robustness in Machine Learning (1 paper), Traffic control and management (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (31 citations), Automotive Engineering (59 citations), Computer Vision and Pattern Recognition (70 citations), Software (10 citations) and Safety, Risk, Reliability and Quality (17 citations). Jonah Philion has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Sanja Fidler, Or Litany, Leonidas Guibas, Davis Rempe, Jan Kautz, Zian Wang, Jose M. Álvarez, Zhiding Yu, James Lucas and Marc T. Law. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.