Areej Fatima
Impact in
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- Artificial Intelligence in Healthcare
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Machine Learning and ELM 3
- Co-authors
- Sagheer Abbas (29 shared papers)Muhammad Adnan Khan (31 shared papers)Munir Ahmad (12 shared papers)Taher M. Ghazal (13 shared papers)Muhammad Asif (4 shared papers)Nouh Sabri Elmitwally (8 shared papers)Gulzar Ahmad (1 shared paper)Ghassan F. Issa (3 shared papers)
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (8 papers)IEEE Access (4 papers)Scientific Reports (2 papers)International Journal of Computational Intelligence Systems (1 paper)Computational Intelligence and Neuroscience (1 paper)
- Partner nations
- PakistanUnited Arab EmiratesSouth Korea
In The Last Decade
Areej Fatima
45 papers receiving 957 citations
Peers
Comparison fields: 5 of 130
- Health Information Management 77
- Computer Networks and Communications 215
- Building and Construction 123
- Artificial Intelligence 278
- Information Systems 188
Countries citing papers authored by Areej Fatima
This map shows the geographic impact of Areej Fatima'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 Areej Fatima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Areej Fatima more than expected).
Fields of papers citing papers by Areej Fatima
This network shows the impact of papers produced by Areej Fatima. 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 Areej Fatima. The network helps show where Areej Fatima may publish in the future.
Co-authors
The 25 scholars most cited alongside Areej Fatima, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 125 | |
| 2 | 2021 | 87 | |
| 3 | 2019 | 86 | |
| 4 | 2018 | 60 | |
| 5 | 2021 | 59 | |
| 6 | 2020 | 59 | |
| 7 | 2021 | 54 | |
| 8 | 2023 | 50 | |
| 9 | 2022 | 45 | |
| 10 | 2019 | 40 | |
| 11 | 2023 | 28 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2021 | 14 |
About Areej Fatima
Areej Fatima is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Health Information Management, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), COVID-19 diagnosis using AI (6 papers), Advanced MIMO Systems Optimization (4 papers), Chaos-based Image/Signal Encryption (4 papers), Traffic Prediction and Management Techniques (4 papers), Smart Parking Systems Research (3 papers), Machine Learning and ELM (3 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Health Information Management (77 citations), Computer Networks and Communications (215 citations), Building and Construction (123 citations), Artificial Intelligence (278 citations) and Information Systems (188 citations). Areej Fatima has collaborated with scholars based in Pakistan, United Arab Emirates and South Korea. Frequent co-authors include Sagheer Abbas, Muhammad Adnan Khan, Munir Ahmad, Taher M. Ghazal, Muhammad Asif, Nouh Sabri Elmitwally, Gulzar Ahmad, Ghassan F. Issa, Raed A. Said and Sang-Woong Lee. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Scientific Reports, International Journal of Computational Intelligence Systems and Computational Intelligence and Neuroscience.
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.