Umar Islam
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Blockchain Technology Applications and Security 3
- Digital and Cyber Forensics 3
- Internet of Things and AI 3
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- Network Security and Intrusion Detection 4
- Co-authors
- Sayed M. Eldin (2 shared papers)Ijaz Ahmad (2 shared papers)Javed Ali Khan (1 shared paper)Ateeq Ur Rehman (1 shared paper)Muhammad Shafiq (1 shared paper)Md Shamim Hossain (1 shared paper)Hathal Salamah Alwageed (8 shared papers)Gulzar Mehmood (4 shared papers)
- Journals
- PeerJ Computer Science (3 papers)IEEE Access (2 papers)Scientific Reports (2 papers)Internet of Things (1 paper)Wireless Communications and Mobile Computing (1 paper)
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Umar Islam
22 papers receiving 200 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 6
- Signal Processing 46
- Computer Networks and Communications 90
- Artificial Intelligence 85
- Information Systems 47
Countries citing papers authored by Umar Islam
This map shows the geographic impact of Umar Islam'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 Umar Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Islam more than expected).
Fields of papers citing papers by Umar Islam
This network shows the impact of papers produced by Umar Islam. 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 Umar Islam. The network helps show where Umar Islam may publish in the future.
Co-authors
The 25 scholars most cited alongside Umar Islam, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 82 | |
| 2 | 2022 | 13 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2025 | 11 | |
| 7 | 2025 | 9 | |
| 8 | 2025 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2025 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Umar Islam
Umar Islam is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 214 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (4 papers), Blockchain Technology Applications and Security (3 papers), Digital and Cyber Forensics (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Internet of Things and AI (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Wireless Body Area Networks (2 papers). The work is most often cited by research in Health Informatics (6 citations), Signal Processing (46 citations), Computer Networks and Communications (90 citations), Artificial Intelligence (85 citations) and Information Systems (47 citations). Umar Islam has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Sayed M. Eldin, Ijaz Ahmad, Javed Ali Khan, Ateeq Ur Rehman, Muhammad Shafiq, Md Shamim Hossain, Hathal Salamah Alwageed, Gulzar Mehmood, Faheem Khan and Aitizaz Ali. Their work appears in journals such as PeerJ Computer Science, IEEE Access, Scientific Reports, Internet of Things and Wireless Communications and Mobile Computing.
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.