Adeeb Noor
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
-
- Quality and Safety in Healthcare
Papers in
-
- Machine Learning in Healthcare 5
- Imbalanced Data Classification Techniques 4
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Redhwan Nour (8 shared papers)Liaqat Ali (6 shared papers)Ashir Javeed (4 shared papers)Shijie Zhou (1 shared paper)Yongjian Liao (1 shared paper)Noorbakhsh Amiri Golilarz (3 shared papers)Javed Ali Khan (1 shared paper)Syed Bukhari (1 shared paper)
- Journals
- Scientific Reports (4 papers)IEEE Access (2 papers)Measurement (1 paper)Saudi Pharmaceutical Journal (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Adeeb Noor
36 papers receiving 693 citations
Peers
Comparison fields: 5 of 123
- Health Information Management 323
- Medical Laboratory Technology 57
- Health Informatics 15
- Artificial Intelligence 291
- Computer Networks and Communications 103
Countries citing papers authored by Adeeb Noor
This map shows the geographic impact of Adeeb Noor'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 Adeeb Noor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adeeb Noor more than expected).
Fields of papers citing papers by Adeeb Noor
This network shows the impact of papers produced by Adeeb Noor. 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 Adeeb Noor. The network helps show where Adeeb Noor may publish in the future.
Co-authors
The 25 scholars most cited alongside Adeeb Noor, 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 | 2019 | 192 | |
| 2 | 2019 | 185 | |
| 3 | 2019 | 58 | |
| 4 | 2019 | 55 | |
| 5 | 2024 | 36 | |
| 6 | 2024 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2025 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2025 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Adeeb Noor
Adeeb Noor is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 37 papers that have together received 751 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Biomedical Text Mining and Ontologies (5 papers), Machine Learning in Healthcare (5 papers), Computational Drug Discovery Methods (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Imbalanced Data Classification Techniques (4 papers), COVID-19 diagnosis using AI (2 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Health Information Management (323 citations), Medical Laboratory Technology (57 citations), Health Informatics (15 citations), Artificial Intelligence (291 citations) and Computer Networks and Communications (103 citations). Adeeb Noor has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Redhwan Nour, Liaqat Ali, Ashir Javeed, Shijie Zhou, Yongjian Liao, Noorbakhsh Amiri Golilarz, Javed Ali Khan, Syed Bukhari, Xingzhong Xiong and Yakubu Imrana. Their work appears in journals such as Scientific Reports, IEEE Access, Measurement, Saudi Pharmaceutical Journal and Frontiers in Bioengineering and Biotechnology.
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.