Muhammad Azeem

594 citations
14 papers · 345 · h-index 9

Impact in

    • IoT and Edge/Fog Computing
    • Energy Efficient Wireless Sensor Networks
    • Security in Wireless Sensor Networks
  • Marketing top 10%
    • Customer churn and segmentation
    • Consumer Retail Behavior Studies

Papers in

Muhammad Azeem

13 papers receiving 319 citations

Peers

Muhammad Azeem
Comparison fields: 5 of 53
  • Computer Networks and Communications 184
  • Marketing 57
  • Information Systems 124
  • Organizational Behavior and Human Resource Management 28
  • Health Informatics 3
Replace K.P.N Jayasena with:
K.P.N Jayasena Sri Lanka
Priyanka Singh India
Salaja Silas India
Dharmendra Kumar Yadav India
Eleftherios Anastasiadis United Kingdom
Simone L. Martins Brazil
Marko Schuba Germany
Luoyang Fang United States
Muhammad Azeem relative to K.P.N Jayasena Sri Lanka K.P.N Jayasena's profile →
Citations per field
00.5×4.7×
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Citations per year

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-authors

The 22 scholars most cited alongside Muhammad Azeem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Azeem Line = papers co-authored together Muhammad Azeem links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2021113
2 202163
3 201747
4 202142
5 202119
6 202217
7 202116
8 201715
9 20198
10 20242
11 20201
12 20241
13 20141
14 20250

About Muhammad Azeem

Muhammad Azeem is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Marketing and General Health Professions, having authored 14 papers that have together received 345 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Energy Efficient Wireless Sensor Networks (5 papers), Blockchain Technology Applications and Security (3 papers), Consumer Retail Behavior Studies (2 papers), Security in Wireless Sensor Networks (2 papers), Customer churn and segmentation (2 papers), Aerospace Engineering and Control Systems (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Networks and Communications (184 citations), Marketing (57 citations), Information Systems (124 citations), Organizational Behavior and Human Resource Management (28 citations) and Health Informatics (3 citations). Muhammad Azeem has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Ata Ullah, N. Z. Jhanjhi, Mamoona Humayun, Humaira Ashraf, Abdulellah A. Alaboudi, A.C.M. Fong, Muhammad Usman, Mehedi Masud, Thamer Tabbakh and Sultan Aljahdali. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Scientific Reports, International Journal of Computational Intelligence Systems and Computers, materials & continua/Computers, materials & continua (Print).

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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