Mina Al-Saad
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
-
- Advanced Neural Network Applications 5
- Image Processing and 3D Reconstruction 4
-
- Remote-Sensing Image Classification 10
- Advanced Image Fusion Techniques 4
- Co-authors
- Nour Aburaed (24 shared papers)Hussain Al-Ahmad (26 shared papers)Saeed Al Mansoori (19 shared papers)Alavikunhu Panthakkan (11 shared papers)Wathiq Mansoor (6 shared papers)Stephen Marshall (7 shared papers)Saad Amin (2 shared papers)Jaime Zabalza (1 shared paper)
- Journals
- Remote Sensing (1 paper)Scientific Reports (1 paper)Electronics (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United Arab EmiratesUnited KingdomEgypt
In The Last Decade
Mina Al-Saad
30 papers receiving 257 citations
Peers
Comparison fields: 5 of 71
- Media Technology 96
- Space and Planetary Science 5
- Computer Vision and Pattern Recognition 66
- Atmospheric Science 46
- Artificial Intelligence 67
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 15 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 68 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 32 | |
| 4 | 2022 | 15 | |
| 5 | 2019 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Mina Al-Saad
Mina Al-Saad is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Ocean Engineering, Artificial Intelligence and Atmospheric Science, having authored 34 papers that have together received 265 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), Archaeological Research and Protection (4 papers), Remote Sensing and Land Use (4 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Media Technology (96 citations), Space and Planetary Science (5 citations), Computer Vision and Pattern Recognition (66 citations), Atmospheric Science (46 citations) and Artificial Intelligence (67 citations). Mina Al-Saad has collaborated with scholars based in United Arab Emirates, United Kingdom and Egypt. Frequent co-authors include Nour Aburaed, Hussain Al-Ahmad, Saeed Al Mansoori, Alavikunhu Panthakkan, Wathiq Mansoor, Stephen Marshall, Saad Amin, Jaime Zabalza, M. Sami Zitouni and Jhony H. Giraldo. Their work appears in journals such as Remote Sensing, Scientific Reports, Electronics, IEEE Geoscience and Remote Sensing Letters and SHILAP Revista de lepidopterología.
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.