Radhya Sahal
Impact in
- Health Informatics top 5%
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- Digital Transformation in Industry
Papers in
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- Artificial Intelligence in Healthcare 4
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- Cloud Computing and Resource Management 13
- Co-authors
- Saeed Hamood AlsamhiJohn G. BreslinMuhammad Intizar AliKenneth N. BrownAmmar HawbaniMartín SerranoMohan TimilsinaJahan Hassan
In The Last Decade
Radhya Sahal
38 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 46
- Industrial and Manufacturing Engineering 286
- Computer Networks and Communications 481
- Health Information Management 74
- Medical Laboratory Technology 24
Countries citing papers authored by Radhya Sahal
This map shows the geographic impact of Radhya Sahal'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 Radhya Sahal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radhya Sahal more than expected).
Fields of papers citing papers by Radhya Sahal
This network shows the impact of papers produced by Radhya Sahal. 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 Radhya Sahal. The network helps show where Radhya Sahal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Radhya Sahal, 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 | 2024 | 11 | |
| 2 | 2023 | 29 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 42 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 36 | |
| 7 | Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities Hit paper breakdown → | 2021 | 193 |
| 8 | 2021 | 1 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 136 | |
| 12 | 2021 | 23 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 233 | |
| 17 | 2018 | 14 | |
| 18 | 2017 | 18 | |
| 19 | 2016 | 12 | |
| 20 | Automatic calibration of database cost model in cloud computing | 2012 | 2 |
About Radhya Sahal
Radhya Sahal is a scholar working on Health Information Management, Information Systems, Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (12 papers), Graph Theory and Algorithms (7 papers), Caching and Content Delivery (6 papers), Digital Transformation in Industry (5 papers), Artificial Intelligence in Healthcare (4 papers), Machine Learning in Healthcare (3 papers) and Flexible and Reconfigurable Manufacturing Systems (3 papers). The work is most often cited by research in Health Informatics (46 citations), Industrial and Manufacturing Engineering (286 citations), Computer Networks and Communications (481 citations), Health Information Management (74 citations) and Medical Laboratory Technology (24 citations). Radhya Sahal has collaborated with scholars based in Egypt, Yemen and Ireland. Frequent co-authors include Saeed Hamood Alsamhi, John G. Breslin, Muhammad Intizar Ali, Kenneth N. Brown, Ammar Hawbani, Martín Serrano, Mohan Timilsina, Jahan Hassan, Mohsen Guizani and Fatma A. Omara. Their work appears in journals such as Complexity, Computational Intelligence and Neuroscience, Sensors, Big Data and Mobile Networks and Applications.
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.