Muhammad Azeem

594 total citations
14 papers, 345 citations indexed

About

Muhammad Azeem is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Azeem has authored 14 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 4 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Azeem's work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Blockchain Technology Applications and Security (3 papers). Muhammad Azeem is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Blockchain Technology Applications and Security (3 papers). Muhammad Azeem collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Muhammad Azeem's co-authors include Ata Ullah, Mamoona Humayun, N. Z. Jhanjhi, Humaira Ashraf, Abdulellah A. Alaboudi, Muhammad Usman, A.C.M. Fong, Mehedi Masud, Thamer Tabbakh and Sultan Aljahdali and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Muhammad Azeem

13 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Azeem Pakistan 9 184 124 64 63 57 14 345
K.P.N Jayasena Sri Lanka 7 203 1.1× 192 1.5× 109 1.7× 26 0.4× 17 0.3× 23 350
Salaja Silas India 9 203 1.1× 96 0.8× 68 1.1× 71 1.1× 4 0.1× 52 333
Marko Schuba Germany 6 197 1.1× 89 0.7× 96 1.5× 47 0.7× 6 0.1× 21 314
Seyed Salar Sefati Romania 12 356 1.9× 166 1.3× 57 0.9× 174 2.8× 15 0.3× 34 483
Eleftherios Anastasiadis United Kingdom 8 136 0.7× 39 0.3× 137 2.1× 71 1.1× 13 0.2× 11 320
Luoyang Fang United States 9 158 0.9× 34 0.3× 57 0.9× 167 2.7× 10 0.2× 20 340
Priyanka Singh India 10 32 0.2× 62 0.5× 49 0.8× 20 0.3× 18 0.3× 23 266
Sara Ghorashi Saudi Arabia 7 103 0.6× 126 1.0× 40 0.6× 19 0.3× 4 0.1× 20 243

Countries citing papers authored by Muhammad Azeem

Since Specialization
Citations

This map shows the geographic impact of Muhammad Azeem'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 Azeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Azeem more than expected).

Fields of papers citing papers by Muhammad Azeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Azeem. 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 Azeem. The network helps show where Muhammad Azeem may publish in the future.

Co-authorship network of co-authors of Muhammad Azeem

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Azeem. A scholar is included among the top collaborators of Muhammad Azeem 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 Azeem. Muhammad Azeem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Ghani, Anwar, et al.. (2024). Fog-assisted de-duplicated data exchange in distributed edge computing networks. Scientific Reports. 14(1). 20595–20595. 2 indexed citations
4.
Ghani, Anwar, et al.. (2022). Light-Weight Secure Aggregated Data Sharing in IoT-Enabled Wireless Sensor Networks. IEEE Access. 10. 33571–33585. 17 indexed citations
5.
Ullah, Ata, Muhammad Azeem, Humaira Ashraf, et al.. (2021). Secure Critical Data Reclamation Scheme for Isolated Clusters in IoT-Enabled WSN. IEEE Internet of Things Journal. 9(4). 2669–2677. 19 indexed citations
6.
Ullah, Ata, Muhammad Azeem, Humaira Ashraf, et al.. (2021). Secure Healthcare Data Aggregation and Transmission in IoT—A Survey. IEEE Access. 9. 16849–16865. 113 indexed citations
7.
Ullah, Ata, Muhammad Azeem, Humaira Ashraf, et al.. (2021). A Survey on Continuous Object Tracking and Boundary Detection Schemes in IoT Assisted Wireless Sensor Networks. IEEE Access. 9. 126324–126336. 16 indexed citations
8.
Azeem, Muhammad, Ata Ullah, Humaira Ashraf, et al.. (2021). FoG-Oriented Secure and Lightweight Data Aggregation in IoMT. IEEE Access. 9. 111072–111082. 42 indexed citations
9.
Ashraf, Humaira, Ata Ullah, Mehedi Masud, et al.. (2021). Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN. Computers, materials & continua/Computers, materials & continua (Print). 67(3). 3505–3521. 63 indexed citations
11.
12.
Azeem, Muhammad, Muhammad Usman, & A.C.M. Fong. (2017). A churn prediction model for prepaid customers in telecom using fuzzy classifiers. Telecommunication Systems. 66(4). 603–614. 47 indexed citations
13.
Azeem, Muhammad, et al.. (2017). A fuzzy based churn prediction and retention model for prepaid customers in telecom industry. International Journal of Computational Intelligence Systems. 11(1). 66–66. 15 indexed citations
14.
Azeem, Muhammad, Muhammad Usman, & Waseem Ahmad. (2014). Intelligent data cube construction and exploration. 12. 168–174. 1 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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