Amreen Batool
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
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- Brain Tumor Detection and Classification 4
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- Imbalanced Data Classification Techniques 3
- AI in cancer detection 3
- Co-authors
- Yung Cheol Byun (17 shared papers)Jawad Elsayed Ahmad (2 shared papers)Muhammad Nadeem (2 shared papers)Asad Islam (2 shared papers)Wadii Boulila (1 shared paper)Ji‐Soo Kim (2 shared papers)Ji‐Huan He (1 shared paper)Khaled A. Gepreel (1 shared paper)
- Journals
- IEEE Access (5 papers)PeerJ Computer Science (2 papers)Results in Engineering (1 paper)Microchemical Journal (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- South KoreaChinaPakistan
In The Last Decade
Amreen Batool
22 papers receiving 313 citations
Peers
Comparison fields: 5 of 73
- Neurology 79
- Modeling and Simulation 28
- Computer Vision and Pattern Recognition 101
- Health Information Management 20
- Artificial Intelligence 112
Countries citing papers authored by Amreen Batool
This map shows the geographic impact of Amreen Batool'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 Amreen Batool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amreen Batool more than expected).
Fields of papers citing papers by Amreen Batool
This network shows the impact of papers produced by Amreen Batool. 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 Amreen Batool. The network helps show where Amreen Batool may publish in the future.
Co-authors
The 18 scholars most cited alongside Amreen Batool, 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 | 2023 | 73 | |
| 2 | 2024 | 50 | |
| 3 | 2024 | 38 | |
| 4 | 2025 | 21 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2024 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2019 | 10 | |
| 12 | 2024 | 10 | |
| 13 | 2025 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Amreen Batool
Amreen Batool is a scholar working on Neurology, Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 24 papers that have together received 328 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Smart Agriculture and AI (4 papers), Artificial Intelligence in Healthcare (3 papers), Advanced Neural Network Applications (3 papers), Imbalanced Data Classification Techniques (3 papers), AI in cancer detection (3 papers), Leaf Properties and Growth Measurement (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Neurology (79 citations), Modeling and Simulation (28 citations), Computer Vision and Pattern Recognition (101 citations), Health Information Management (20 citations) and Artificial Intelligence (112 citations). Amreen Batool has collaborated with scholars based in South Korea, China and Pakistan. Frequent co-authors include Yung Cheol Byun, Jawad Elsayed Ahmad, Muhammad Nadeem, Asad Islam, Wadii Boulila, Ji‐Soo Kim, Ji‐Huan He, Khaled A. Gepreel, Muhammad Umer Sohail and Hui Yu. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Results in Engineering, Microchemical Journal and Computers in Biology and Medicine.
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.