Basem Assiri
Impact in
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- Brain Tumor Detection and Classification
Papers in
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- Distributed systems and fault tolerance 8
- IoT and Edge/Fog Computing 7
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- Blockchain Technology Applications and Security 10
- Co-authors
- Mohammad Alamgir Hossain (5 shared papers)Wazir Zada Khan (5 shared papers)Abdullah Sheneamer (4 shared papers)Costas Busch (4 shared papers)Sweta Bhattacharya (2 shared papers)Shadab Alam (3 shared papers)Thippa Reddy Gadekallu (2 shared papers)Saqib Hakak (2 shared papers)
- Journals
- Applied Sciences (4 papers)IEEE Access (2 papers)Electronics (1 paper)Arabian Journal for Science and Engineering (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- Saudi ArabiaIndiaPakistan
In The Last Decade
Basem Assiri
31 papers receiving 195 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 5
- Neurology 27
- Information Systems 71
- Computer Vision and Pattern Recognition 53
- Computer Science Applications 12
Countries citing papers authored by Basem Assiri
This map shows the geographic impact of Basem Assiri'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 Basem Assiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basem Assiri more than expected).
Fields of papers citing papers by Basem Assiri
This network shows the impact of papers produced by Basem Assiri. 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 Basem Assiri. The network helps show where Basem Assiri may publish in the future.
Co-authors
The 25 scholars most cited alongside Basem Assiri, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 26 | |
| 2 | 2024 | 22 | |
| 3 | 2022 | 13 | |
| 4 | 2020 | 11 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 4 |
About Basem Assiri
Basem Assiri is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 33 papers that have together received 202 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), Distributed systems and fault tolerance (8 papers), IoT and Edge/Fog Computing (7 papers), Face and Expression Recognition (4 papers), Brain Tumor Detection and Classification (4 papers), Emotion and Mood Recognition (4 papers), Face recognition and analysis (4 papers) and Graph Labeling and Dimension Problems (3 papers). The work is most often cited by research in Health Informatics (5 citations), Neurology (27 citations), Information Systems (71 citations), Computer Vision and Pattern Recognition (53 citations) and Computer Science Applications (12 citations). Basem Assiri has collaborated with scholars based in Saudi Arabia, India and Pakistan. Frequent co-authors include Mohammad Alamgir Hossain, Wazir Zada Khan, Abdullah Sheneamer, Costas Busch, Sweta Bhattacharya, Shadab Alam, Thippa Reddy Gadekallu, Saqib Hakak, C. Kishor Kumar Reddy and Mamoun Alazab. Their work appears in journals such as Applied Sciences, IEEE Access, Electronics, Arabian Journal for Science and Engineering and Frontiers in 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.