Nida Aslam
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Imbalanced Data Classification Techniques 7
- Anomaly Detection Techniques and Applications 5
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- Artificial Intelligence in Healthcare 10
- Co-authors
- Irfan Ullah Khan (42 shared papers)Sumayh S. Aljameel (12 shared papers)Safeera Khan (3 shared papers)Fahd Alhaidari (3 shared papers)Abdullah M. Almuhaideb (4 shared papers)Malak Aljabri (4 shared papers)Nehad M. Ibrahim (3 shared papers)Fatema Shaikh (3 shared papers)
- Journals
- Sensors (7 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Electronics (3 papers)IEEE Access (2 papers)International Journal of Environmental Research and Public Health (2 papers)
- Partner nations
- Saudi ArabiaPakistanMalaysia
In The Last Decade
Nida Aslam
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 140
- Health Informatics 78
- Health Information Management 98
- Computer Science Applications 103
- Artificial Intelligence 386
- Radiology, Nuclear Medicine and Imaging 235
Countries citing papers authored by Nida Aslam
This map shows the geographic impact of Nida Aslam'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 Nida Aslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nida Aslam more than expected).
Fields of papers citing papers by Nida Aslam
This network shows the impact of papers produced by Nida Aslam. 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 Nida Aslam. The network helps show where Nida Aslam may publish in the future.
Co-authors
The 25 scholars most cited alongside Nida Aslam, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2021 | 70 | |
| 3 | 2021 | 70 | |
| 4 | 2020 | 65 | |
| 5 | 2020 | 63 | |
| 6 | 2021 | 56 | |
| 7 | 2020 | 56 | |
| 8 | 2022 | 52 | |
| 9 | 2021 | 48 | |
| 10 | 2022 | 45 | |
| 11 | 2021 | 38 | |
| 12 | 2023 | 37 | |
| 13 | 2020 | 35 | |
| 14 | 2022 | 34 | |
| 15 | 2021 | 31 | |
| 16 | 2020 | 28 | |
| 17 | 2023 | 28 | |
| 18 | 2021 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2023 | 21 |
About Nida Aslam
Nida Aslam is a scholar working on Artificial Intelligence, Health Information Management, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Information Systems, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (10 papers), COVID-19 diagnosis using AI (9 papers), Imbalanced Data Classification Techniques (7 papers), Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Malware Detection Techniques (4 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Health Informatics (78 citations), Health Information Management (98 citations), Computer Science Applications (103 citations), Artificial Intelligence (386 citations) and Radiology, Nuclear Medicine and Imaging (235 citations). Nida Aslam has collaborated with scholars based in Saudi Arabia, Pakistan and Malaysia. Frequent co-authors include Irfan Ullah Khan, Sumayh S. Aljameel, Safeera Khan, Fahd Alhaidari, Abdullah M. Almuhaideb, Malak Aljabri, Nehad M. Ibrahim, Fatema Shaikh, Mohammed Alshahrani and Shikah J. Alsunaidi. Their work appears in journals such as Sensors, Computers, materials & continua/Computers, materials & continua (Print), Electronics, IEEE Access and International Journal of Environmental Research and Public Health.
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.