Raed Alsini
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Internet Traffic Analysis and Secure E-voting
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Anomaly Detection Techniques and Applications 13
- Sentiment Analysis and Opinion Mining 6
- AI in cancer detection 5
-
- Network Security and Intrusion Detection 14
- IoT and Edge/Fog Computing 6
- Co-authors
- Omar Alghushairy (22 shared papers)Xiaogang Ma (7 shared papers)Terence Soule (3 shared papers)Ayman Yafoz (29 shared papers)Farman Ali (11 shared papers)Majdi Khalid (6 shared papers)Wajdi Alghamdi (6 shared papers)Atef Masmoudi (5 shared papers)
- Journals
- Alexandria Engineering Journal (8 papers)Applied Sciences (5 papers)Scientific Reports (5 papers)Journal of Biomolecular Structure and Dynamics (4 papers)IEEE Access (3 papers)
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Raed Alsini
54 papers receiving 699 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 318
- Signal Processing 83
- Computer Networks and Communications 176
- Health Information Management 25
- Health Informatics 5
Countries citing papers authored by Raed Alsini
This map shows the geographic impact of Raed Alsini'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 Raed Alsini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raed Alsini more than expected).
Fields of papers citing papers by Raed Alsini
This network shows the impact of papers produced by Raed Alsini. 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 Raed Alsini. The network helps show where Raed Alsini may publish in the future.
Co-authors
The 25 scholars most cited alongside Raed Alsini, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 209 | |
| 2 | 2023 | 39 | |
| 3 | 2020 | 38 | |
| 4 | 2023 | 35 | |
| 5 | 2023 | 29 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2024 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2024 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2022 | 11 |
About Raed Alsini
Raed Alsini is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Signal Processing and Information Systems, having authored 65 papers that have together received 719 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers), Machine Learning in Bioinformatics (8 papers), Advanced Malware Detection Techniques (8 papers), IoT and Edge/Fog Computing (6 papers), Sentiment Analysis and Opinion Mining (6 papers), AI in cancer detection (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Artificial Intelligence (318 citations), Signal Processing (83 citations), Computer Networks and Communications (176 citations), Health Information Management (25 citations) and Health Informatics (5 citations). Raed Alsini has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Omar Alghushairy, Xiaogang Ma, Terence Soule, Ayman Yafoz, Farman Ali, Majdi Khalid, Wajdi Alghamdi, Atef Masmoudi, Ahmed Ibrahim and Abdulaziz A. Alsulami. Their work appears in journals such as Alexandria Engineering Journal, Applied Sciences, Scientific Reports, Journal of Biomolecular Structure and Dynamics and IEEE Access.
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.