Mina Al-Saad
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Neural Network Applications
Papers in
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- Remote-Sensing Image Classification 10
- Advanced Image Fusion Techniques 4
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- Advanced Neural Network Applications 5
- Image Processing and 3D Reconstruction 4
- Co-authors
- Nour Aburaed (27 shared papers)Hussain Al-Ahmad (28 shared papers)Saeed Al Mansoori (21 shared papers)Alavikunhu Panthakkan (12 shared papers)Mohammed Q. Alkhatib (12 shared papers)Wathiq Mansoor (6 shared papers)Stephen D Marshall (7 shared papers)Saad Ali Amin (2 shared papers)
- Journals
- Remote Sensing (1 paper)Scientific Reports (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)Electronics (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United Arab EmiratesUnited KingdomFrance
In The Last Decade
Mina Al-Saad
33 papers receiving 304 citations
Peers
Comparison fields: 5 of 74
- Media Technology 107
- Computer Vision and Pattern Recognition 84
- Space and Planetary Science 5
- Atmospheric Science 46
- Oncology 56
Countries citing papers authored by Mina Al-Saad
This map shows the geographic impact of Mina Al-Saad'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 Mina Al-Saad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Al-Saad more than expected).
Fields of papers citing papers by Mina Al-Saad
This network shows the impact of papers produced by Mina Al-Saad. 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 Mina Al-Saad. The network helps show where Mina Al-Saad may publish in the future.
Co-authors
The 18 scholars most cited alongside Mina Al-Saad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 82 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 32 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Mina Al-Saad
Mina Al-Saad is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Space and Planetary Science, Ocean Engineering and Atmospheric Science, having authored 37 papers that have together received 318 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Advanced Neural Network Applications (5 papers), Automated Road and Building Extraction (5 papers), Image Processing and 3D Reconstruction (4 papers), Advanced Image Fusion Techniques (4 papers), Remote Sensing and Land Use (4 papers), Archaeological Research and Protection (4 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Media Technology (107 citations), Computer Vision and Pattern Recognition (84 citations), Space and Planetary Science (5 citations), Atmospheric Science (46 citations) and Oncology (56 citations). Mina Al-Saad has collaborated with scholars based in United Arab Emirates, United Kingdom and France. Frequent co-authors include Nour Aburaed, Hussain Al-Ahmad, Saeed Al Mansoori, Alavikunhu Panthakkan, Mohammed Q. Alkhatib, Wathiq Mansoor, Stephen D Marshall, Saad Ali Amin, Jaime Zabalza and M. Sami Zitouni. Their work appears in journals such as Remote Sensing, Scientific Reports, IEEE Geoscience and Remote Sensing Letters, Electronics 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.