Muhammad Imran

24.4k total citations · 17 hit papers
366 papers, 16.7k citations indexed

About

Muhammad Imran is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Muhammad Imran has authored 366 papers receiving a total of 16.7k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Computer Networks and Communications, 134 papers in Electrical and Electronic Engineering and 73 papers in Artificial Intelligence. Recurrent topics in Muhammad Imran's work include IoT and Edge/Fog Computing (75 papers), Energy Efficient Wireless Sensor Networks (62 papers) and Energy Harvesting in Wireless Networks (38 papers). Muhammad Imran is often cited by papers focused on IoT and Edge/Fog Computing (75 papers), Energy Efficient Wireless Sensor Networks (62 papers) and Energy Harvesting in Wireless Networks (38 papers). Muhammad Imran collaborates with scholars based in Saudi Arabia, Pakistan and Australia. Muhammad Imran's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Muhammad Imran

355 papers receiving 16.0k citations

Hit Papers

An overview on smart contracts: Challenges, advances and ... 2016 2026 2019 2022 2019 2020 2016 2017 2017 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Imran Saudi Arabia 65 7.8k 4.1k 4.0k 3.7k 2.1k 366 16.7k
Thippa Reddy Gadekallu India 69 5.1k 0.6× 3.9k 1.0× 2.5k 0.6× 5.6k 1.5× 2.1k 1.0× 363 16.9k
Arun Kumar Sangaiah India 77 6.9k 0.9× 4.2k 1.0× 3.2k 0.8× 4.9k 1.3× 3.3k 1.6× 483 18.3k
Giancarlo Fortino Italy 68 7.8k 1.0× 2.8k 0.7× 3.1k 0.8× 4.2k 1.1× 4.0k 2.0× 560 17.7k
Mohammad Mehedi Hassan Saudi Arabia 59 6.0k 0.8× 3.4k 0.8× 2.3k 0.6× 3.5k 0.9× 2.3k 1.1× 433 12.7k
Zhihan Lv China 76 4.1k 0.5× 2.9k 0.7× 2.9k 0.7× 4.1k 1.1× 2.8k 1.4× 449 17.6k
Naixue Xiong China 76 9.1k 1.2× 4.6k 1.1× 4.3k 1.1× 6.2k 1.7× 3.9k 1.9× 915 21.6k
Houbing Song United States 76 8.9k 1.1× 3.6k 0.9× 5.8k 1.4× 4.3k 1.2× 3.0k 1.4× 626 19.9k
M. Shamim Hossain Saudi Arabia 67 4.9k 0.6× 3.6k 0.9× 2.2k 0.5× 4.4k 1.2× 2.3k 1.1× 300 13.7k
Gautam Srivastava Canada 61 5.8k 0.7× 5.5k 1.3× 2.5k 0.6× 7.2k 1.9× 2.1k 1.0× 616 17.9k
Laurence T. Yang Canada 79 11.2k 1.4× 6.1k 1.5× 5.2k 1.3× 6.6k 1.8× 3.5k 1.7× 888 23.7k

Countries citing papers authored by Muhammad Imran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Muhammad Imran

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran. A scholar is included among the top collaborators of Muhammad Imran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Imran. Muhammad Imran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Imran, Muhammad, et al.. (2025). SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches. IEEE Access. 13. 74252–74287. 1 indexed citations
3.
Ahmad, Iftikhar, Muhammad Imran, Abdul Qayyum, Muhammad Sher Ramzan, & Madini O. Alassafi. (2023). An Optimized Hybrid Deep Intrusion Detection Model (HD-IDM) for Enhancing Network Security. Mathematics. 11(21). 4501–4501. 4 indexed citations
4.
Aurangzeb, Khursheed, et al.. (2023). An effective solution to the optimal power flow problem using meta-heuristic algorithms. Frontiers in Energy Research. 11. 9 indexed citations
5.
Afzaal, Hamra, et al.. (2022). Formal Modeling and Verification of a Blockchain-Based Crowdsourcing Consensus Protocol. IEEE Access. 10. 8163–8183. 19 indexed citations
6.
Kerrache, Chaker Abdelaziz, Marica Amadeo, Anna Maria Vegni, et al.. (2021). A cooperative crowdsensing system based on flying and ground vehicles to control respiratory viral disease outbreaks. Ad Hoc Networks. 124. 102699–102699. 16 indexed citations
7.
Awais, Muhammad, et al.. (2021). Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset. IEEE Access. 9. 98928–98938. 9 indexed citations
8.
Ali, Shaukat, et al.. (2021). An intelligent content caching protocol for connected vehicles. Transactions on Emerging Telecommunications Technologies. 32(4). 16 indexed citations
9.
Ullah, Fahim, et al.. (2021). Advertising through UAVs: Optimized path system for delivering smart real‐estate advertisement materials. International Journal of Intelligent Systems. 36(7). 3429–3463. 20 indexed citations
10.
Farooq, Umar, et al.. (2021). Intelligent energy prediction techniques for fog computing networks. Applied Soft Computing. 111. 107682–107682. 28 indexed citations
11.
Kolaylı, Sevgi, et al.. (2020). Antibacterial Effect of Anatolian Ethanolic Propolis Extracts on Clinical Strains of Helicobacter pylori. Der pharma chemica. 12(1). 28–32. 1 indexed citations
12.
Saleem, Kashif, et al.. (2020). Bio-Inspired Network Security for 5G-Enabled IoT Applications. IEEE Access. 8. 229152–229160. 25 indexed citations
13.
Rathee, Geetanjali, Farhan Ahmad, Fatih Kurugöllü, et al.. (2020). CRT-BIoV: A Cognitive Radio Technique for Blockchain-Enabled Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4005–4015. 44 indexed citations
14.
Hakak, Saqib, et al.. (2019). Cloud-assisted gamification for education and learning – Recent advances and challenges. Computers & Electrical Engineering. 74. 22–34. 64 indexed citations
15.
Wang, Hao, et al.. (2019). Blockchain-based data privacy management with Nudge theory in open banking. Future Generation Computer Systems. 110. 812–823. 76 indexed citations
16.
Wan, Jiafu, Shenglong Tang, Di Li, et al.. (2018). Reconfigurable Smart Factory for Drug Packing in Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics. 15(1). 507–516. 97 indexed citations
17.
Noor, Rafidah Md, Ismail Ahmedy, Iftikhar Ahmad, et al.. (2018). A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks. Wireless Communications and Mobile Computing. 2018(1). 29 indexed citations
18.
Imran, Muhammad, et al.. (2018). Exploiting Social Networks of Twitter in Altmetrics Big Data. 1339–1344. 9 indexed citations
19.
Imran, Muhammad, et al.. (2016). Fuzzy Logic Based Flow Controller of Dam Gates. 1(3). 3 indexed citations
20.
Ayaz, Yasar, Mohsin Jamil, Muhammad Babar Rasheed, et al.. (2015). Comparative Analysis of Classifiers for Developing an Adaptive Computer-Assisted EEG Analysis System for Diagnosing Epilepsy. BioMed Research International. 2015. 1–14. 10 indexed citations

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.

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