Rasheed Ahmad
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
-
- Anomaly Detection Techniques and Applications 6
- Internet Traffic Analysis and Secure E-voting 4
- Metaheuristic Optimization Algorithms Research 1
- Neural Networks and Applications 1
- Machine Learning and Data Classification 1
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- Network Security and Intrusion Detection 7
- Co-authors
- Izzat Alsmadi (8 shared papers)Wasim A. Al-Hamdani (5 shared papers)Lo’ai Tawalbeh (5 shared papers)Mohammad Al-Ramahi (1 shared paper)
- Journals
- Journal of Information Security and Applications (1 paper)Internet of Things (1 paper)Computers & Security (1 paper)Future Internet (1 paper)Artificial Intelligence Review (1 paper)
- Partner nations
- United StatesJordan
In The Last Decade
Rasheed Ahmad
8 papers receiving 369 citations
Rasheed Ahmad's Hit Papers
Peers
Comparison fields: 5 of 42
- Signal Processing 160
- Computer Networks and Communications 298
- Artificial Intelligence 177
- Information Systems 83
- Control and Systems Engineering 43
Countries citing papers authored by Rasheed Ahmad
This map shows the geographic impact of Rasheed Ahmad'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 Rasheed Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasheed Ahmad more than expected).
Fields of papers citing papers by Rasheed Ahmad
This network shows the impact of papers produced by Rasheed Ahmad. 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 Rasheed Ahmad. The network helps show where Rasheed Ahmad may publish in the future.
Co-authors
The 4 scholars most cited alongside Rasheed Ahmad, 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 | Machine learning approaches to IoT security: A systematic literature review Hit paper breakdown → | 2021 | 184 |
| 2 | Zero-day attack detection: a systematic literature review Hit paper breakdown → | 2023 | 91 |
| 3 | 2021 | 55 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2012 | 1 |
About Rasheed Ahmad
Rasheed Ahmad is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Civil and Structural Engineering and Infectious Diseases, having authored 9 papers that have together received 376 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Malware Detection Techniques (4 papers), Water Systems and Optimization (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Neural Networks and Applications (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Signal Processing (160 citations), Computer Networks and Communications (298 citations), Artificial Intelligence (177 citations), Information Systems (83 citations) and Control and Systems Engineering (43 citations). Rasheed Ahmad has collaborated with scholars based in United States and Jordan. Frequent co-authors include Izzat Alsmadi, Wasim A. Al-Hamdani, Lo’ai Tawalbeh and Mohammad Al-Ramahi. Their work appears in journals such as Journal of Information Security and Applications, Internet of Things, Computers & Security, Future Internet and Artificial Intelligence Review.
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.