Awal Halifa
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
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- IoT and Edge/Fog Computing 3
- Caching and Content Delivery 1
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- Blockchain Technology Applications and Security 2
- Co-authors
- Mohammed Zakariah (2 shared papers)Kamran Shaukat (1 shared paper)Chetana Srinivas (1 shared paper)B. Partibane (1 shared paper)Surjeet Dalal (1 shared paper)Amena Mahmoud (1 shared paper)Edeh Michael Onyema (1 shared paper)Majed A. Algarni (1 shared paper)
- Journals
- Computational Intelligence and Neuroscience (7 papers)Wireless Communications and Mobile Computing (2 papers)Journal of Healthcare Engineering (2 papers)Mathematical Problems in Engineering (1 paper)
- Partner nations
- GhanaIndiaSaudi Arabia
In The Last Decade
Awal Halifa
12 papers receiving 299 citations
Awal Halifa's Hit Papers
Peers
Comparison fields: 5 of 77
- Neurology 153
- Computer Vision and Pattern Recognition 133
- Health Information Management 26
- Artificial Intelligence 103
- Radiology, Nuclear Medicine and Imaging 71
Countries citing papers authored by Awal Halifa
This map shows the geographic impact of Awal Halifa'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 Awal Halifa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Awal Halifa more than expected).
Fields of papers citing papers by Awal Halifa
This network shows the impact of papers produced by Awal Halifa. 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 Awal Halifa. The network helps show where Awal Halifa may publish in the future.
Co-authors
The 25 scholars most cited alongside Awal Halifa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images Hit paper breakdown → | 2022 | 191 |
| 2 | 2023 | 33 | |
| 3 | 2022 | 29 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 1 |
About Awal Halifa
Awal Halifa is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 12 papers that have together received 335 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Blockchain Technology Applications and Security (2 papers), EEG and Brain-Computer Interfaces (2 papers), COVID-19 diagnosis using AI (1 paper), Caching and Content Delivery (1 paper), Face and Expression Recognition (1 paper), Neuroscience and Neural Engineering (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Neurology (153 citations), Computer Vision and Pattern Recognition (133 citations), Health Information Management (26 citations), Artificial Intelligence (103 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Awal Halifa has collaborated with scholars based in Ghana, India and Saudi Arabia. Frequent co-authors include Mohammed Zakariah, Kamran Shaukat, Chetana Srinivas, B. Partibane, Surjeet Dalal, Amena Mahmoud, Edeh Michael Onyema, Majed A. Algarni, Anil Audumbar Pise and D.A. Karras. Their work appears in journals such as Computational Intelligence and Neuroscience, Wireless Communications and Mobile Computing, Journal of Healthcare Engineering and Mathematical Problems in 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.