Muhammad Kamran
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- Advanced Steganography and Watermarking Techniques 12
- Chaos-based Image/Signal Encryption 4
- Information Systems top 5%
- Blockchain Technology Applications and Security 4
- Spam and Phishing Detection 3
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting 7
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- Network Security and Intrusion Detection 6
- Signal Processing top 10%
- Advanced Malware Detection Techniques 9
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- Vehicle License Plate Recognition 3
- Co-authors
- Muddassar FarooqMuhammad Shoaib FarooqSaman IftikharZahid AnwarWasif NisarMunam AliHikmat Ullah KhanSaeed Ur Rehman
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
Muhammad Kamran
49 papers receiving 690 citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 219
- Information Systems 186
- Artificial Intelligence 253
- Computer Networks and Communications 157
- Signal Processing 69
Countries citing papers authored by Muhammad Kamran
This map shows the geographic impact of Muhammad Kamran'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 Muhammad Kamran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Kamran more than expected).
Fields of papers citing papers by Muhammad Kamran
This network shows the impact of papers produced by Muhammad Kamran. 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 Muhammad Kamran. The network helps show where Muhammad Kamran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Kamran, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 5 | |
| 7 | A Systematic Literature Review of E-Banking Frauds: Current Scenario and Security Techniques | 2021 | 8 |
| 8 | 2020 | 4 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 5 | |
| 15 | 2016 | 15 | |
| 16 | 2015 | 2 | |
| 17 | 2013 | 24 | |
| 18 | 2011 | 33 | |
| 19 | 2009 | 15 | |
| 20 | 2007 | 8 |
About Muhammad Kamran
Muhammad Kamran is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 50 papers that have together received 734 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), Advanced Malware Detection Techniques (9 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Network Security and Intrusion Detection (6 papers), Blockchain Technology Applications and Security (4 papers), Chaos-based Image/Signal Encryption (4 papers), Spam and Phishing Detection (3 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Information Systems (186 citations) and Artificial Intelligence (253 citations). Muhammad Kamran has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Muddassar Farooq, Muhammad Shoaib Farooq, Saman Iftikhar, Zahid Anwar, Wasif Nisar, Munam Ali, Hikmat Ullah Khan, Saeed Ur Rehman, Qaisar Javaid and Muhammad Wasif Nisar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.