Gal Ashour
Impact in
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- COVID-19 and healthcare impacts
- Global Cancer Incidence and Screening
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- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
Papers in
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- Video Analysis and Summarization 8
- Advanced Image and Video Retrieval Techniques 6
- Advanced Vision and Imaging 4
- Image Retrieval and Classification Techniques 1
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- Music and Audio Processing 2
- Video Coding and Compression Technologies 1
- Co-authors
- Arnon Amir (3 shared papers)Isak Gath (2 shared papers)Savitha Srinivasan (2 shared papers)Chung-Ching Lin (1 shared paper)J. R. Smith (1 shared paper)Srinivasan Selvaraj (1 shared paper)Dick C. A. Bulterman (1 shared paper)Dulce B. Ponceleon (1 shared paper)
- Journals
- The Lancet Oncology (1 paper)Journal of Visual Communication and Image Representation (1 paper)IBM Journal of Research and Development (1 paper)American Journal of Obstetrics and Gynecology (1 paper)International Journal of Semantic Computing (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Gal Ashour
14 papers receiving 358 citations
Peers
Comparison fields: 5 of 73
- Oncology 154
- Computer Vision and Pattern Recognition 100
- Signal Processing 22
- General Dentistry 2
- Emergency Medical Services 8
Countries citing papers authored by Gal Ashour
This map shows the geographic impact of Gal Ashour'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 Gal Ashour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Ashour more than expected).
Fields of papers citing papers by Gal Ashour
This network shows the impact of papers produced by Gal Ashour. 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 Gal Ashour. The network helps show where Gal Ashour may publish in the future.
Co-authors
The 9 scholars most cited alongside Gal Ashour, 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 | 2021 | 214 | |
| 2 | 2022 | 43 | |
| 3 | 2016 | 25 | |
| 4 | 2017 | 23 | |
| 5 | 2018 | 19 | |
| 6 | 2015 | 12 | |
| 7 | 2004 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 1999 | 6 | |
| 10 | 2005 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 1999 | 2 | |
| 13 | Who is SMILing on the Web | 2001 | 2 |
| 14 | 2000 | 1 |
About Gal Ashour
Gal Ashour is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Oncology, Communication and Sociology and Political Science, having authored 14 papers that have together received 374 indexed citations. Recurring topics across this work include Video Analysis and Summarization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Vision and Imaging (4 papers), COVID-19 and healthcare impacts (2 papers), Music and Audio Processing (2 papers), Multimedia Communication and Technology (2 papers), Video Coding and Compression Technologies (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Oncology (154 citations), Computer Vision and Pattern Recognition (100 citations), Signal Processing (22 citations), General Dentistry (2 citations) and Emergency Medical Services (8 citations). Gal Ashour has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Arnon Amir, Isak Gath, Savitha Srinivasan, Chung-Ching Lin, J. R. Smith, Srinivasan Selvaraj, Dick C. A. Bulterman, Dulce B. Ponceleon and Byron Dom. Their work appears in journals such as The Lancet Oncology, Journal of Visual Communication and Image Representation, IBM Journal of Research and Development, American Journal of Obstetrics and Gynecology and International Journal of Semantic Computing.
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.