Muhammad Khurram Ehsan
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
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- IoT and Edge/Fog Computing
Papers in
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- Cognitive Radio Networks and Spectrum Sensing 3
- Wireless Communication Networks Research 3
- IoT and Edge/Fog Computing 2
- Network Security and Intrusion Detection 2
- Co-authors
- Asad Mahmood (4 shared papers)Congduc Pham (1 shared paper)Shahid Mumtaz (4 shared papers)Yue Hong (1 shared paper)Asghar Ali Shah (5 shared papers)Osman Hasan (3 shared papers)Hasan Sajid (3 shared papers)Sara Ali (3 shared papers)
In The Last Decade
Muhammad Khurram Ehsan
28 papers receiving 328 citations
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 34
- Computer Networks and Communications 103
- Computer Vision and Pattern Recognition 80
- Electrical and Electronic Engineering 122
- Automotive Engineering 21
Countries citing papers authored by Muhammad Khurram Ehsan
This map shows the geographic impact of Muhammad Khurram Ehsan'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 Khurram Ehsan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Khurram Ehsan more than expected).
Fields of papers citing papers by Muhammad Khurram Ehsan
This network shows the impact of papers produced by Muhammad Khurram Ehsan. 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 Khurram Ehsan. The network helps show where Muhammad Khurram Ehsan may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Khurram Ehsan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2022 | 34 | |
| 3 | 2021 | 32 | |
| 4 | 2023 | 30 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 18 | |
| 7 | 2023 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Muhammad Khurram Ehsan
Muhammad Khurram Ehsan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 30 papers that have together received 338 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (3 papers), Hand Gesture Recognition Systems (3 papers), Wireless Communication Networks Research (3 papers), Advanced Neural Network Applications (2 papers), IoT and Edge/Fog Computing (2 papers), Advanced Malware Detection Techniques (2 papers), Human Pose and Action Recognition (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Computer Networks and Communications (103 citations), Computer Vision and Pattern Recognition (80 citations), Electrical and Electronic Engineering (122 citations) and Automotive Engineering (21 citations). Muhammad Khurram Ehsan has collaborated with scholars based in Pakistan, China and Sweden. Frequent co-authors include Asad Mahmood, Congduc Pham, Shahid Mumtaz, Yue Hong, Asghar Ali Shah, Osman Hasan, Hasan Sajid, Sara Ali, Saim Rasheed and Dirk Dahlhaus. Their work appears in journals such as IEEE Access, Sensors, Computers, materials & continua/Computers, materials & continua (Print), Wireless Communications and Mobile Computing and IEEE Transactions on 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.