Muhammad Imad
Impact in
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- Advanced Malware Detection Techniques
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- 3D Surveying and Cultural Heritage
Papers in
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- AI in cancer detection 3
- Anomaly Detection Techniques and Applications 2
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- Network Security and Intrusion Detection 5
- Co-authors
- Deok Jin Lee (2 shared papers)Oualid Doukhi (2 shared papers)Ali Zeeshan Ijaz (10 shared papers)Nisar Ali (9 shared papers)Usama Arshad (7 shared papers)Raja Hashim Ali (7 shared papers)Muhammad Abul Hassan (6 shared papers)Raja Hashim Ali (3 shared papers)
- Journals
- Sensors (2 papers)Lecture notes on data engineering and communications technologies (1 paper)Indonesian Journal of Electrical Engineering and Computer Science (1 paper)Pakistan Heart Journal (1 paper)INFM-OAR (INFN Catania) (1 paper)
In The Last Decade
Muhammad Imad
24 papers receiving 195 citations
Peers
Comparison fields: 5 of 54
- Signal Processing 34
- Geology 12
- Computer Vision and Pattern Recognition 36
- Management Science and Operations Research 19
- Computer Networks and Communications 34
Countries citing papers authored by Muhammad Imad
This map shows the geographic impact of Muhammad Imad'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 Imad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Imad more than expected).
Fields of papers citing papers by Muhammad Imad
This network shows the impact of papers produced by Muhammad Imad. 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 Imad. The network helps show where Muhammad Imad may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Imad, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 1 |
About Muhammad Imad
Muhammad Imad is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing, having authored 27 papers that have together received 196 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), AI in cancer detection (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Malware Detection Techniques (2 papers), COVID-19 diagnosis using AI (2 papers), Robotics and Sensor-Based Localization (2 papers) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Signal Processing (34 citations), Geology (12 citations), Computer Vision and Pattern Recognition (36 citations), Management Science and Operations Research (19 citations) and Computer Networks and Communications (34 citations). Muhammad Imad has collaborated with scholars based in Pakistan, Canada and Spain. Frequent co-authors include Deok Jin Lee, Oualid Doukhi, Ali Zeeshan Ijaz, Nisar Ali, Usama Arshad, Raja Hashim Ali, Muhammad Abul Hassan, Raja Hashim Ali, Zain ul Abideen and Said Nabi. Their work appears in journals such as Sensors, Lecture notes on data engineering and communications technologies, Indonesian Journal of Electrical Engineering and Computer Science, Pakistan Heart Journal and INFM-OAR (INFN Catania).
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.