Muhammad Moid Sandhu
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- Energy Efficient Wireless Sensor Networks 9
- Mobile Ad Hoc Networks 3
- IoT and Edge/Fog Computing 3
- Ocean Engineering top 5%
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- Wireless Body Area Networks 5
- Molecular Communication and Nanonetworks 4
- Non-Invasive Vital Sign Monitoring 2
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- Energy Harvesting in Wireless Networks 8
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- Context-Aware Activity Recognition Systems 7
Muhammad Moid Sandhu
25 papers receiving 433 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 275
- Ocean Engineering 95
- Biomedical Engineering 174
- Electrical and Electronic Engineering 194
- Neuropsychology and Physiological Psychology 3
Countries citing papers authored by Muhammad Moid Sandhu
This map shows the geographic impact of Muhammad Moid Sandhu'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 Moid Sandhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Moid Sandhu more than expected).
Fields of papers citing papers by Muhammad Moid Sandhu
This network shows the impact of papers produced by Muhammad Moid Sandhu. 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 Moid Sandhu. The network helps show where Muhammad Moid Sandhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Moid Sandhu, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 4 | |
| 15 | REECH-ME: Regional Energy Efficient Cluster Heads based on Maximum Energy Routing Protocol with Sink Mobility in WSNs | 2014 | 9 |
| 16 | 2014 | 1 | |
| 17 | 2014 | 9 | |
| 18 | DREEM-ME: Distributed Regional Energy Efficient Multi-hop Routing Protocol based on Maximum Energy with Mobile Sink in WSNs | 2014 | 10 |
| 19 | 2014 | 28 | |
| 20 | 2014 | 20 |
About Muhammad Moid Sandhu
Muhammad Moid Sandhu is a scholar working on Neuropsychology and Physiological Psychology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 449 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (9 papers), Energy Harvesting in Wireless Networks (8 papers), Context-Aware Activity Recognition Systems (7 papers), Wireless Body Area Networks (5 papers), Molecular Communication and Nanonetworks (4 papers), Mobile Ad Hoc Networks (3 papers), IoT and Edge/Fog Computing (3 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Computer Networks and Communications (275 citations), Ocean Engineering (95 citations) and Biomedical Engineering (174 citations). Muhammad Moid Sandhu has collaborated with scholars based in Australia, Pakistan and Canada. Frequent co-authors include Nadeem Javaid, Zahoor Ali Khan, Marius Portmann, Sara Khalifa, Raja Jurdak, Sheeraz Ahmed, Muhammad Imran, Umar Qasim, Nabil Alrajeh and Ashfaq Ahmad. Their work appears in journals such as Scientific Reports, Computers in Human Behavior, Internet of Things, IEEE Internet of Things Journal and IEEE Sensors Journal.
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.