Khalid Alissa
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Network Security and Intrusion Detection 13
- IoT and Edge/Fog Computing 3
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- Cloud Computing and Resource Management 4
- Information and Cyber Security 4
- Co-authors
- Tahir Alyas (7 shared papers)Nadia Tabassum (4 shared papers)Qaiser Abbas (4 shared papers)Atta Rahman (2 shared papers)Waleed Alomoush (4 shared papers)Ayat Alrosan (5 shared papers)Fatma S. Alrayes (5 shared papers)Taher M. Ghazal (3 shared papers)
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (8 papers)Applied Sciences (3 papers)Drones (3 papers)IEEE Access (2 papers)Computational Intelligence and Neuroscience (1 paper)
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Khalid Alissa
41 papers receiving 468 citations
Peers
Comparison fields: 5 of 99
- Signal Processing 91
- Computer Networks and Communications 174
- Artificial Intelligence 203
- Health Information Management 27
- Information Systems 118
Countries citing papers authored by Khalid Alissa
This map shows the geographic impact of Khalid Alissa'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 Khalid Alissa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Alissa more than expected).
Fields of papers citing papers by Khalid Alissa
This network shows the impact of papers produced by Khalid Alissa. 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 Khalid Alissa. The network helps show where Khalid Alissa may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Alissa, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 50 | |
| 2 | 2022 | 50 | |
| 3 | 2022 | 45 | |
| 4 | 2022 | 37 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2022 | 8 |
About Khalid Alissa
Khalid Alissa is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 500 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (10 papers), Anomaly Detection Techniques and Applications (5 papers), Biometric Identification and Security (4 papers), Cloud Computing and Resource Management (4 papers), Information and Cyber Security (4 papers), UAV Applications and Optimization (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Signal Processing (91 citations), Computer Networks and Communications (174 citations), Artificial Intelligence (203 citations), Health Information Management (27 citations) and Information Systems (118 citations). Khalid Alissa has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Tahir Alyas, Nadia Tabassum, Qaiser Abbas, Atta Rahman, Waleed Alomoush, Ayat Alrosan, Fatma S. Alrayes, Taher M. Ghazal, Kashif Zafar and Saud S. Alotaibi. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences, Drones, IEEE Access and Computational Intelligence and 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.