Shakila Basheer
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- Artificial Intelligence in Healthcare 12
- Neurology top 10%
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- IoT and Edge/Fog Computing 9
- Artificial Intelligence top 5%
- AI in cancer detection 6
- Privacy-Preserving Technologies in Data 5
- Evolutionary Algorithms and Applications 4
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- Vehicular Ad Hoc Networks (VANETs) 6
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- Internet of Things and AI 5
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- Water Quality Monitoring Technologies 4
- Co-authors
- Surbhi BhatiaSapiah SakriAli Kashif BashirGourav BathlaRahul Kumar SinghChiranji Lal ChowdharyKishor V. BhadaneRajanikanth Aluvalu
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Scientific Reports (2 papers)
- Partner nations
- Saudi ArabiaIndiaUnited Kingdom
In The Last Decade
Shakila Basheer
69 papers receiving 782 citations
Peers
Comparison fields: 5 of 108
- Health Information Management 67
- Neurology 86
- Computer Networks and Communications 224
- Health Informatics 11
- Artificial Intelligence 224
Countries citing papers authored by Shakila Basheer
This map shows the geographic impact of Shakila Basheer'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 Shakila Basheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shakila Basheer more than expected).
Fields of papers citing papers by Shakila Basheer
This network shows the impact of papers produced by Shakila Basheer. 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 Shakila Basheer. The network helps show where Shakila Basheer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shakila Basheer, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 38 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 27 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 20 | |
| 17 | 2022 | 123 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 24 | |
| 20 | 2019 | 30 |
About Shakila Basheer
Shakila Basheer is a scholar working on Health Information Management, Computer Networks and Communications and Artificial Intelligence, having authored 81 papers that have together received 839 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (12 papers), IoT and Edge/Fog Computing (9 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), AI in cancer detection (6 papers), Privacy-Preserving Technologies in Data (5 papers), Internet of Things and AI (5 papers), Evolutionary Algorithms and Applications (4 papers) and Water Quality Monitoring Technologies (4 papers). The work is most often cited by research in Health Information Management (67 citations), Neurology (86 citations) and Computer Networks and Communications (224 citations). Shakila Basheer has collaborated with scholars based in Saudi Arabia, India and United Kingdom. Frequent co-authors include Surbhi Bhatia, Sapiah Sakri, Ali Kashif Bashir, Gourav Bathla, Rahul Kumar Singh, Chiranji Lal Chowdhary, Kishor V. Bhadane, Rajanikanth Aluvalu, Adarsh Kumar and Rajalakshmi Krishnamurthi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.