Kamran Shaukat
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Suhuai LuoIbrahim A. HameedTalha Mahboob AlamVijay VaradharajanFarhat IqbalMatloob KhushiMin XuJiaming Li
- Topics
- Network Security and Intrusion Detection (9 papers)Advanced Malware Detection Techniques (9 papers)Imbalanced Data Classification Techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Kamran Shaukat
70 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 1.3k
- Computer Networks and Communications 773
- Information Systems 644
- Signal Processing 570
- Computer Vision and Pattern Recognition 411
Countries citing papers authored by Kamran Shaukat
This map shows the geographic impact of Kamran Shaukat'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 Kamran Shaukat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamran Shaukat more than expected).
Fields of papers citing papers by Kamran Shaukat
This network shows the impact of papers produced by Kamran Shaukat. 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 Kamran Shaukat. The network helps show where Kamran Shaukat may publish in the future.
Co-authorship network of co-authors of Kamran Shaukat
This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Shaukat. A scholar is included among the top collaborators of Kamran Shaukat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kamran Shaukat. Kamran Shaukat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | A novel deep learning-based approach for malware detectionbreakdown → | 115 |
| 7 | 6 | |
| 8 | 30 | |
| 9 | 20 | |
| 10 | 38 | |
| 11 | 59 | |
| 12 | 38 | |
| 13 | 32 | |
| 14 | 33 | |
| 15 | 45 | |
| 16 | 62 | |
| 17 | Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecuritybreakdown → | 207 |
| 18 | A Survey on Machine Learning Techniques for Cyber Security in the Last Decadebreakdown → | 315 |
| 19 | 101 | |
| 20 | Cloud Security through Encryption Techniques | 2 |
About Kamran Shaukat
Kamran Shaukat is a scholar working on Health Information Management, Signal Processing and Artificial Intelligence, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (9 papers) and Imbalanced Data Classification Techniques (7 papers). The work is most often cited by research in Signal Processing (570 citations), Health Information Management (238 citations) and Artificial Intelligence (1.3k citations). Kamran Shaukat has collaborated with scholars based in Australia, Pakistan and Norway. Frequent co-authors include Suhuai Luo, Ibrahim A. Hameed, Talha Mahboob Alam, Vijay Varadharajan, Farhat Iqbal, Matloob Khushi, Min Xu, Jiaming Li, Dongxi Liu and Adeel Nasir. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.