Abeer Saber
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Artificial Intelligence top 5%
- AI in cancer detection
- Metaheuristic Optimization Algorithms Research
Papers in
-
- AI in cancer detection 11
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- Advanced Neural Network Applications 4
- Digital Imaging for Blood Diseases 3
- Co-authors
- Arabi Keshk (3 shared papers)Mohamed Sakr (3 shared papers)Osama M. Abo-Seida (2 shared papers)Huiling Chen (1 shared paper)Esraa Hassan (9 shared papers)Wael A. Awad (5 shared papers)Esraa Hassan (5 shared papers)Abdelazim G. Hussien (3 shared papers)
- Journals
- Scientific Reports (4 papers)Biomedical Signal Processing and Control (3 papers)Neural Computing and Applications (2 papers)PLoS ONE (1 paper)Journal of Computational Design and Engineering (1 paper)
- Partner nations
- EgyptSaudi ArabiaSweden
In The Last Decade
Abeer Saber
23 papers receiving 761 citations
Abeer Saber's Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 140
- Artificial Intelligence 428
- Radiology, Nuclear Medicine and Imaging 225
- Computer Vision and Pattern Recognition 172
- Health Information Management 33
Countries citing papers authored by Abeer Saber
This map shows the geographic impact of Abeer Saber'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 Abeer Saber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeer Saber more than expected).
Fields of papers citing papers by Abeer Saber
This network shows the impact of papers produced by Abeer Saber. 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 Abeer Saber. The network helps show where Abeer Saber may publish in the future.
Co-authors
The 25 scholars most cited alongside Abeer Saber, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique Hit paper breakdown → | 2021 | 288 |
| 2 | 2022 | 72 | |
| 3 | 2024 | 53 | |
| 4 | 2023 | 48 | |
| 5 | 2024 | 44 | |
| 6 | 2024 | 39 | |
| 7 | 2024 | 37 | |
| 8 | 2023 | 36 | |
| 9 | 2023 | 27 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2025 | 18 | |
| 13 | 2025 | 18 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2025 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 4 |
About Abeer Saber
Abeer Saber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 24 papers that have together received 777 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Brain Tumor Detection and Classification (9 papers), Advanced Neural Network Applications (4 papers), Digital Imaging for Blood Diseases (3 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Gene expression and cancer classification (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Neurology (140 citations), Artificial Intelligence (428 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Computer Vision and Pattern Recognition (172 citations) and Health Information Management (33 citations). Abeer Saber has collaborated with scholars based in Egypt, Saudi Arabia and Sweden. Frequent co-authors include Arabi Keshk, Mohamed Sakr, Osama M. Abo-Seida, Huiling Chen, Esraa Hassan, Wael A. Awad, Esraa Hassan, Abdelazim G. Hussien, Laith Abualigah and M. Shamim Hossain. Their work appears in journals such as Scientific Reports, Biomedical Signal Processing and Control, Neural Computing and Applications, PLoS ONE and Journal of Computational Design and Engineering.
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.