Hamad Naeem
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Network Security and Intrusion Detection 14
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- Advanced Malware Detection Techniques 17
- Co-authors
- Farhan Ullah (17 shared papers)Danish Vasan (5 shared papers)Muhammad Rashid Naeem (13 shared papers)Mamoun Alazab (2 shared papers)Zheng Qin (1 shared paper)Babak Safaei (1 shared paper)Sobia Wassan (1 shared paper)Sohail Jabbar (5 shared papers)
- Journals
- IEEE Access (3 papers)Sensors (2 papers)Sustainability (2 papers)Wireless Personal Communications (2 papers)Ad Hoc Networks (1 paper)
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Hamad Naeem
40 papers receiving 1.3k citations
Hamad Naeem's Hit Papers
Peers
Comparison fields: 5 of 94
- Signal Processing 760
- Computer Networks and Communications 737
- Software 109
- Information Systems 378
- Artificial Intelligence 531
Countries citing papers authored by Hamad Naeem
This map shows the geographic impact of Hamad Naeem'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 Hamad Naeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamad Naeem more than expected).
Fields of papers citing papers by Hamad Naeem
This network shows the impact of papers produced by Hamad Naeem. 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 Hamad Naeem. The network helps show where Hamad Naeem may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamad Naeem, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture Hit paper breakdown → | 2020 | 341 |
| 2 | 2019 | 158 | |
| 3 | 2020 | 144 | |
| 4 | 2019 | 61 | |
| 5 | 2021 | 56 | |
| 6 | 2023 | 41 | |
| 7 | 2022 | 41 | |
| 8 | 2018 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2018 | 32 | |
| 11 | 2019 | 29 | |
| 12 | 2020 | 28 | |
| 13 | 2023 | 27 | |
| 14 | 2020 | 27 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2020 | 24 | |
| 18 | 2022 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2024 | 20 |
About Hamad Naeem
Hamad Naeem is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Ocean Engineering, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (17 papers), Network Security and Intrusion Detection (14 papers), Underwater Vehicles and Communication Systems (7 papers), Anomaly Detection Techniques and Applications (7 papers), Digital and Cyber Forensics (5 papers), Energy Harvesting in Wireless Networks (5 papers), Software Testing and Debugging Techniques (4 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Signal Processing (760 citations), Computer Networks and Communications (737 citations), Software (109 citations), Information Systems (378 citations) and Artificial Intelligence (531 citations). Hamad Naeem has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Farhan Ullah, Danish Vasan, Muhammad Rashid Naeem, Mamoun Alazab, Zheng Qin, Babak Safaei, Sobia Wassan, Sohail Jabbar, Shehzad Khalid and Bing Guo. Their work appears in journals such as IEEE Access, Sensors, Sustainability, Wireless Personal Communications and Ad Hoc Networks.
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.