Imran Memon
Impact in
- General Energy top 5%
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
Papers in
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- Vehicular Ad Hoc Networks (VANETs) 6
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- IoT and Edge/Fog Computing 4
- Caching and Content Delivery 4
- Mobile Ad Hoc Networks 4
- Co-authors
- Mohammad Kamrul Hasan (6 shared papers)Shayla Islam (3 shared papers)Khairul Akram Zainol Ariffin (2 shared papers)Riaz Ahmed Shaikh (4 shared papers)Eklas Hossain (2 shared papers)Qasim Ali Arain (6 shared papers)Faiza Iqbal (1 shared paper)Amin Ul Haq (5 shared papers)
In The Last Decade
Imran Memon
35 papers receiving 628 citations
Peers
Comparison fields: 5 of 84
- General Energy 23
- Computer Networks and Communications 262
- Information Systems 161
- Artificial Intelligence 170
- Signal Processing 50
Countries citing papers authored by Imran Memon
This map shows the geographic impact of Imran Memon'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 Imran Memon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Memon more than expected).
Fields of papers citing papers by Imran Memon
This network shows the impact of papers produced by Imran Memon. 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 Imran Memon. The network helps show where Imran Memon may publish in the future.
Co-authors
The 25 scholars most cited alongside Imran Memon, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 98 | |
| 2 | 2022 | 77 | |
| 3 | 2020 | 59 | |
| 4 | 2020 | 40 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 21 | |
| 11 | 2021 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2020 | 14 | |
| 16 | Estimation of Time Difference of Arrival (TDOA) for the Source Radiates BPSK Signal | 2013 | 14 |
| 17 | 2024 | 13 | |
| 18 | 2021 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2020 | 9 |
About Imran Memon
Imran Memon is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 649 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), IoT and Edge/Fog Computing (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Caching and Content Delivery (4 papers), Mobile Ad Hoc Networks (4 papers), Privacy-Preserving Technologies in Data (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in General Energy (23 citations), Computer Networks and Communications (262 citations), Information Systems (161 citations), Artificial Intelligence (170 citations) and Signal Processing (50 citations). Imran Memon has collaborated with scholars based in Pakistan, China and Malaysia. Frequent co-authors include Mohammad Kamrul Hasan, Shayla Islam, Khairul Akram Zainol Ariffin, Riaz Ahmed Shaikh, Eklas Hossain, Qasim Ali Arain, Faiza Iqbal, Amin Ul Haq, Naveed Hussain and Ibrar Hussain. Their work appears in journals such as Sensors, IEEE Access, EURASIP Journal on Wireless Communications and Networking, IEEE Transactions on Industrial Informatics and Multimedia Tools and Applications.
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.