Amit Aides
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Vision and Imaging 2
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- Atmospheric aerosols and clouds 5
- Co-authors
- Leonid Karlinsky (2 shared papers)Rogério Feris (2 shared papers)Joseph Shtok (2 shared papers)Sivan Harary (2 shared papers)Raja Giryes (2 shared papers)Alex M. Bronstein (2 shared papers)Eli Schwartz (1 shared paper)Yoav Y. Schechner (8 shared papers)
- Journals
- Gastrointestinal Endoscopy (1 paper)Optics Express (1 paper)IEEE Transactions on Medical Imaging (1 paper)Surgical Endoscopy (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Amit Aides
15 papers receiving 592 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 328
- Media Technology 73
- Artificial Intelligence 268
- Health Informatics 11
- Computer Graphics and Computer-Aided Design 24
Countries citing papers authored by Amit Aides
This map shows the geographic impact of Amit Aides'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 Amit Aides with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Aides more than expected).
Fields of papers citing papers by Amit Aides
This network shows the impact of papers produced by Amit Aides. 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 Amit Aides. The network helps show where Amit Aides may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Aides, 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 | 2019 | 281 | |
| 2 | 2019 | 89 | |
| 3 | 2015 | 53 | |
| 4 | 2022 | 45 | |
| 5 | 2013 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2011 | 11 | |
| 11 | 2016 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2020 | 0 |
About Amit Aides
Amit Aides is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change, Instrumentation, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 16 papers that have together received 601 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (5 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Vision and Imaging (2 papers), Colorectal Cancer Screening and Detection (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Advanced Optical Sensing Technologies (2 papers), Calibration and Measurement Techniques (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (328 citations), Media Technology (73 citations), Artificial Intelligence (268 citations), Health Informatics (11 citations) and Computer Graphics and Computer-Aided Design (24 citations). Amit Aides has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Leonid Karlinsky, Rogério Feris, Joseph Shtok, Sivan Harary, Raja Giryes, Alex M. Bronstein, Eli Schwartz, Yoav Y. Schechner, Aviad Levis and Anthony B. Davis. Their work appears in journals such as Gastrointestinal Endoscopy, Optics Express, IEEE Transactions on Medical Imaging, Surgical Endoscopy and Lecture notes in computer science.
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.