Muhammad Imran
Impact in
- Computer Networks and Communications top 0.05%
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Software-Defined Networks and 5G
- Information Systems top 0.05%
- Blockchain Technology Applications and Security
Papers in
-
- IoT and Edge/Fog Computing 74
- Energy Efficient Wireless Sensor Networks 62
- Network Security and Intrusion Detection 32
- Mobile Ad Hoc Networks 26
-
- Energy Harvesting in Wireless Networks 38
- Vehicular Ad Hoc Networks (VANETs) 27
- Co-authors
- Ibrar Yaqoob (25 shared papers)Ejaz Ahmed (29 shared papers)Imran Razzak (11 shared papers)Jiafu Wan (12 shared papers)Abdullah Gani (15 shared papers)Hong‐Ning Dai (19 shared papers)Muhammad Shoaib (43 shared papers)Athanasios V. Vasilakos (19 shared papers)
- Journals
- IEEE Access (42 papers)Future Generation Computer Systems (20 papers)IEEE Communications Magazine (17 papers)Sensors (11 papers)Computer Communications (8 papers)
- Partner nations
- Saudi ArabiaPakistanAustralia
In The Last Decade
Muhammad Imran
354 papers receiving 16.4k citations
Muhammad Imran's Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Networks and Communications 7.8k
- Information Systems 4.2k
- Industrial and Manufacturing Engineering 1.2k
- Artificial Intelligence 3.8k
- Health Information Management 501
Countries citing papers authored by Muhammad Imran
This map shows the geographic impact of Muhammad Imran'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 Imran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Imran more than expected).
Fields of papers citing papers by Muhammad Imran
This network shows the impact of papers produced by Muhammad Imran. 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 Imran. The network helps show where Muhammad Imran may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Imran, 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 367 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An overview on smart contracts: Challenges, advances and platforms Hit paper breakdown → | 2019 | 718 |
| 2 | A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion Hit paper breakdown → | 2020 | 541 |
| 3 | Software-Defined Industrial Internet of Things in the Context of Industry 4.0 Hit paper breakdown → | 2016 | 520 |
| 4 | Internet-of-Things-Based Smart Cities: Recent Advances and Challenges Hit paper breakdown → | 2017 | 450 |
| 5 | Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges Hit paper breakdown → | 2017 | 440 |
| 6 | A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning Hit paper breakdown → | 2019 | 440 |
| 7 | The role of big data analytics in Internet of Things Hit paper breakdown → | 2017 | 410 |
| 8 | Real-time big data processing for anomaly detection: A Survey Hit paper breakdown → | 2018 | 321 |
| 9 | A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor Hit paper breakdown → | 2020 | 320 |
| 10 | Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges Hit paper breakdown → | 2016 | 299 |
| 11 | 2018 | 275 | |
| 12 | Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey Hit paper breakdown → | 2020 | 260 |
| 13 | The role of big data analytics in industrial Internet of Things Hit paper breakdown → | 2019 | 259 |
| 14 | A Blockchain-Based Solution for Enhancing Security and Privacy in Smart Factory Hit paper breakdown → | 2019 | 257 |
| 15 | 6G Wireless Systems: A Vision, Architectural Elements, and Future Directions Hit paper breakdown → | 2020 | 255 |
| 16 | An intelligent healthcare monitoring framework using wearable sensors and social networking data Hit paper breakdown → | 2020 | 244 |
| 17 | Deep learning and big data technologies for IoT security Hit paper breakdown → | 2020 | 239 |
| 18 | 2018 | 220 | |
| 19 | Adaptive Transmission Optimization in SDN-Based Industrial Internet of Things With Edge Computing Hit paper breakdown → | 2018 | 213 |
| 20 | 2019 | 206 |
About Muhammad Imran
Muhammad Imran is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 367 papers that have together received 17.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (74 papers), Energy Efficient Wireless Sensor Networks (62 papers), Energy Harvesting in Wireless Networks (38 papers), Blockchain Technology Applications and Security (33 papers), Network Security and Intrusion Detection (32 papers), Vehicular Ad Hoc Networks (VANETs) (27 papers), Underwater Vehicles and Communication Systems (26 papers) and Mobile Ad Hoc Networks (26 papers). The work is most often cited by research in Computer Networks and Communications (7.8k citations), Information Systems (4.2k citations), Industrial and Manufacturing Engineering (1.2k citations), Artificial Intelligence (3.8k citations) and Health Information Management (501 citations). Muhammad Imran has collaborated with scholars based in Saudi Arabia, Pakistan and Australia. Frequent co-authors include Ibrar Yaqoob, Ejaz Ahmed, Imran Razzak, Jiafu Wan, Abdullah Gani, Hong‐Ning Dai, Muhammad Shoaib, Athanasios V. Vasilakos, Di Li and Mohsen Guizani. Their work appears in journals such as IEEE Access, Future Generation Computer Systems, IEEE Communications Magazine, Sensors and Computer Communications.
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.