Faheem Ullah
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software System Performance and Reliability
Papers in
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- Network Security and Intrusion Detection 16
- Software System Performance and Reliability 8
- IoT and Edge/Fog Computing 4
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- Cloud Computing and Resource Management 7
- Information and Cyber Security 4
- Digital and Cyber Forensics 3
- Co-authors
- Muhammad Ali Babar (10 shared papers)Ahsan Wajahat (7 shared papers)Ruzanna Chitchyan (1 shared paper)Awais Rashid (1 shared paper)Ahsan Nazir (7 shared papers)Matthew Edwards (1 shared paper)Rajiv Ramdhany (1 shared paper)Jingsha He (6 shared papers)
In The Last Decade
Faheem Ullah
20 papers receiving 293 citations
Peers
Comparison fields: 5 of 44
- Signal Processing 129
- Computer Networks and Communications 228
- Information Systems 131
- Artificial Intelligence 119
- Software 10
Countries citing papers authored by Faheem Ullah
This map shows the geographic impact of Faheem Ullah'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 Faheem Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faheem Ullah more than expected).
Fields of papers citing papers by Faheem Ullah
This network shows the impact of papers produced by Faheem Ullah. 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 Faheem Ullah. The network helps show where Faheem Ullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Faheem Ullah, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2019 | 58 | |
| 3 | 2023 | 42 | |
| 4 | 2024 | 35 | |
| 5 | 2024 | 20 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2020 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 1 |
About Faheem Ullah
Faheem Ullah is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 23 papers that have together received 311 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (16 papers), Software System Performance and Reliability (8 papers), Cloud Computing and Resource Management (7 papers), Advanced Malware Detection Techniques (6 papers), Information and Cyber Security (4 papers), Anomaly Detection Techniques and Applications (4 papers), IoT and Edge/Fog Computing (4 papers) and Digital and Cyber Forensics (3 papers). The work is most often cited by research in Signal Processing (129 citations), Computer Networks and Communications (228 citations), Information Systems (131 citations), Artificial Intelligence (119 citations) and Software (10 citations). Faheem Ullah has collaborated with scholars based in Australia, China and Ireland. Frequent co-authors include Muhammad Ali Babar, Ahsan Wajahat, Ruzanna Chitchyan, Awais Rashid, Ahsan Nazir, Matthew Edwards, Rajiv Ramdhany, Jingsha He, Nafei Zhu and Muhammad Salman Pathan. Their work appears in journals such as Journal of Network and Computer Applications, Egyptian Informatics Journal, Journal of King Saud University - Computer and Information Sciences, Computer Networks and Expert Systems with Applications.
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.