Ethan Weber
Impact in
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- Computer Graphics and Visualization Techniques
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Advanced Vision and Imaging 2
- Generative Adversarial Networks and Image Synthesis 2
- Human Pose and Action Recognition 2
- Video Surveillance and Tracking Methods 2
- Co-authors
- Ann M. Graybiel (1 shared paper)Angjoo Kanazawa (4 shared papers)Matthew Tancik (2 shared papers)Aleksander Holynski (2 shared papers)Àgata Lapedriza (1 shared paper)Dim P. Papadopoulos (1 shared paper)Antonio Torralba (1 shared paper)Ferda Ofli (1 shared paper)
- Journals
- Electoral Studies (1 paper)Journal of Neuroscience (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (2 papers)Frontiers in Materials (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Ethan Weber
9 papers receiving 192 citations
Peers
Comparison fields: 5 of 67
- Computer Graphics and Computer-Aided Design 20
- Cellular and Molecular Neuroscience 55
- Computer Vision and Pattern Recognition 53
- Psychiatry and Mental health 32
- Biological Psychiatry 5
Countries citing papers authored by Ethan Weber
This map shows the geographic impact of Ethan Weber'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 Ethan Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Weber more than expected).
Fields of papers citing papers by Ethan Weber
This network shows the impact of papers produced by Ethan Weber. 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 Ethan Weber. The network helps show where Ethan Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Weber, 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 | 1989 | 97 | |
| 2 | 2022 | 27 | |
| 3 | 2023 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 14 | |
| 6 | 2024 | 12 | |
| 7 | 2025 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2026 | 0 |
About Ethan Weber
Ethan Weber is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Computational Mechanics, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 10 papers that have together received 201 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Human Pose and Action Recognition (2 papers), Video Surveillance and Tracking Methods (2 papers), Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Hand Gesture Recognition Systems (1 paper) and Electoral Systems and Political Participation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (20 citations), Cellular and Molecular Neuroscience (55 citations), Computer Vision and Pattern Recognition (53 citations), Psychiatry and Mental health (32 citations) and Biological Psychiatry (5 citations). Ethan Weber has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Ann M. Graybiel, Angjoo Kanazawa, Matthew Tancik, Aleksander Holynski, Àgata Lapedriza, Dim P. Papadopoulos, Antonio Torralba, Ferda Ofli, Muhammad Imran and Georgios Pavlakos. Their work appears in journals such as Electoral Studies, Journal of Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and Frontiers in Materials.
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.