Amit Aides
Impact in
-
- 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
-
- Optical Imaging and Spectroscopy Techniques 2
- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 1
- Medical Imaging Techniques and Applications 1
- Co-authors
- Raja Giryes (2 shared papers)Leonid Karlinsky (2 shared papers)Alex Bronstein (2 shared papers)Rogério Feris (2 shared papers)Joseph Shtok (2 shared papers)Sivan Harary (2 shared papers)Eli Schwartz (1 shared paper)Yoav Y. Schechner (7 shared papers)
- Journals
- Optics Express (1 paper)Surgical Endoscopy (1 paper)Gastrointestinal Endoscopy (1 paper)SHILAP Revista de lepidopterología (1 paper)2022 26th International Conference on Pattern Recognition (ICPR) (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Amit Aides
13 papers receiving 486 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 280
- Media Technology 65
- Health Informatics 10
- Artificial Intelligence 232
- Computer Graphics and Computer-Aided Design 19
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 | 245 | |
| 2 | 2019 | 78 | |
| 3 | 2015 | 47 | |
| 4 | 2022 | 34 | |
| 5 | 2013 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2016 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2011 | 11 | |
| 10 | 2016 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2018 | 1 |
About Amit Aides
Amit Aides is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Global and Planetary Change, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 496 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (5 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Optical Sensing Technologies (2 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Media Technology (65 citations), Health Informatics (10 citations), Artificial Intelligence (232 citations) and Computer Graphics and Computer-Aided Design (19 citations). Amit Aides has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Raja Giryes, Leonid Karlinsky, Alex Bronstein, Rogério Feris, Joseph Shtok, Sivan Harary, Eli Schwartz, Yoav Y. Schechner, Aviad Levis and Anthony B. Davis. Their work appears in journals such as Optics Express, Surgical Endoscopy, Gastrointestinal Endoscopy, SHILAP Revista de lepidopterología and 2022 26th International Conference on Pattern Recognition (ICPR).
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.