Munam Ali Shah

5.7k total citations
202 papers, 3.7k citations indexed

About

Munam Ali Shah is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Munam Ali Shah has authored 202 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Networks and Communications, 66 papers in Information Systems and 54 papers in Electrical and Electronic Engineering. Recurrent topics in Munam Ali Shah's work include IoT and Edge/Fog Computing (43 papers), Vehicular Ad Hoc Networks (VANETs) (29 papers) and Advanced Malware Detection Techniques (26 papers). Munam Ali Shah is often cited by papers focused on IoT and Edge/Fog Computing (43 papers), Vehicular Ad Hoc Networks (VANETs) (29 papers) and Advanced Malware Detection Techniques (26 papers). Munam Ali Shah collaborates with scholars based in Pakistan, United Kingdom and Saudi Arabia. Munam Ali Shah's co-authors include Carsten Maple, Abdul Wahid, Hasan Ali Khattak, Saif ul Islam, Abid Khan, Hongnian Yu, Houbing Song, Sijing Zhang, Saman Zahoor and Ikram Ud Din and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Munam Ali Shah

189 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Munam Ali Shah Pakistan 31 1.9k 1.0k 985 712 492 202 3.7k
Wazir Zada Khan Saudi Arabia 31 1.9k 1.0× 1.4k 1.3× 845 0.9× 963 1.4× 335 0.7× 104 4.4k
Anand Paul South Korea 36 1.8k 0.9× 887 0.9× 966 1.0× 973 1.4× 386 0.8× 168 4.8k
Liviu Iftode United States 37 3.2k 1.7× 714 0.7× 1.9k 2.0× 727 1.0× 441 0.9× 154 4.8k
Luca Foschini Italy 33 2.6k 1.4× 1.3k 1.3× 1.1k 1.1× 722 1.0× 276 0.6× 281 4.9k
Amr Tolba Saudi Arabia 33 1.5k 0.8× 1.2k 1.2× 855 0.9× 1.2k 1.7× 258 0.5× 266 4.1k
Fu Xiao China 37 2.0k 1.1× 987 0.9× 2.1k 2.1× 1.5k 2.1× 549 1.1× 341 5.5k
Kevin I‐Kai Wang New Zealand 33 1.3k 0.7× 794 0.8× 1.1k 1.1× 1.7k 2.4× 362 0.7× 168 5.4k
Chunsheng Zhu China 37 3.1k 1.7× 1.1k 1.1× 1.5k 1.6× 1.1k 1.5× 246 0.5× 177 4.9k
Klaus Moessner United Kingdom 34 3.2k 1.7× 680 0.7× 2.5k 2.6× 607 0.9× 296 0.6× 278 4.9k
Bo Cheng China 33 2.0k 1.1× 1.1k 1.1× 957 1.0× 756 1.1× 340 0.7× 321 4.3k

Countries citing papers authored by Munam Ali Shah

Since Specialization
Citations

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

Fields of papers citing papers by Munam Ali Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Munam Ali Shah. 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 Munam Ali Shah. The network helps show where Munam Ali Shah may publish in the future.

Co-authorship network of co-authors of Munam Ali Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Munam Ali Shah. A scholar is included among the top collaborators of Munam Ali Shah 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 Munam Ali Shah. Munam Ali Shah 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.
Shah, Munam Ali, et al.. (2025). Location Privacy Schemes in Vehicular Networks: Taxonomy, Comparative Analysis, Design Challenges, and Future Opportunities. ACM Computing Surveys. 57(6). 1–44. 2 indexed citations
2.
Shah, Munam Ali, et al.. (2024). SGO: Semantic Group Obfuscation for Location-Based Services in VANETS. Sensors. 24(4). 1145–1145. 1 indexed citations
3.
Shah, Munam Ali, et al.. (2024). Ransomware Attacks in Cyber-Physical Systems: Countermeasure of Attack Vectors Through Automated Web Defenses. IEEE Access. 12. 149722–149739. 3 indexed citations
4.
Shah, Munam Ali, Hasan Ali Khattak, Shafaq Mussadiq, et al.. (2023). Intracranial Hemorrhage Detection Using Parallel Deep Convolutional Models and Boosting Mechanism. Diagnostics. 13(4). 652–652. 15 indexed citations
5.
Shah, Munam Ali, et al.. (2023). Internet of Intelligent Vehicles (IoIV): An Intelligent VANET Based Computing via Predictive Modeling. IEEE Access. 11. 49665–49674. 9 indexed citations
6.
Shah, Munam Ali, et al.. (2022). Achieving data privacy for decision support systems in times of massive data sharing. Cluster Computing. 25(5). 3037–3049. 13 indexed citations
7.
Shah, Munam Ali, et al.. (2022). Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles. Applied Sciences. 12(3). 1049–1049. 5 indexed citations
8.
Shah, Munam Ali, et al.. (2022). Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms. IEEE Access. 10. 89031–89050. 40 indexed citations
9.
Waheed, Abdul, Munam Ali Shah, Syed Muhammad Mohsin, et al.. (2022). A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks. IEEE Access. 10. 3580–3600. 49 indexed citations
10.
Shah, Munam Ali, et al.. (2021). Virtual Pseudonym-Changing and Dynamic Grouping Policy for Privacy Preservation in VANETs. Sensors. 21(9). 3077–3077. 13 indexed citations
11.
Shah, Munam Ali, et al.. (2021). Offensive Security: Towards Proactive Threat Hunting via Adversary Emulation. IEEE Access. 9. 126023–126033. 34 indexed citations
12.
Shah, Munam Ali, Hasan Ali Khattak, Carsten Maple, et al.. (2021). An Attribute-Based Access Control for IoT Using Blockchain and Smart Contracts. Sustainability. 13(19). 10556–10556. 44 indexed citations
13.
Waheed, Abdul, et al.. (2021). Hybrid Task Coordination Using Multi-Hop Communication in Volunteer Computing-Based VANETs. Sensors. 21(8). 2718–2718. 15 indexed citations
14.
Shah, Munam Ali, Saif ul Islam, Carsten Maple, et al.. (2020). Fuzzy Logic-Based Novel Hybrid Fuel Framework for Modern Vehicles. IEEE Access. 8. 160596–160606. 8 indexed citations
15.
Shah, Munam Ali, et al.. (2020). Named Data Networking for Efficient IoT-based Disaster Management in a Smart Campus. Sustainability. 12(8). 3088–3088. 48 indexed citations
16.
17.
Shah, Munam Ali, Carsten Maple, Hasan Ali Khattak, et al.. (2020). Towards Energy Efficient Smart Grids Using Bio-Inspired Scheduling Techniques. IEEE Access. 8. 158947–158960. 23 indexed citations
18.
Javaid, Qaisar, Muhammad Arif, Munam Ali Shah, & Muhammad Nadeem. (2018). A Hybrid Technique for De-Noising Multi-Modality Medical Images by Employing Cuckoo’s Search with Curvelet Transform. Mehran University Research Journal of Engineering and Technology. 37(1). 29–48. 7 indexed citations
19.
Shah, Munam Ali, et al.. (2013). A novel symmetric key cryptographic authentication for cooperative communication in cognitive radio networks. 1–5. 5 indexed citations
20.
Shah, Munam Ali, Sijing Zhang, & Carsten Maple. (2012). A novel multi-fold security framework for cognitive radio wireless ad-hoc networks. University of Bedfordshire Repository (University of Bedfordshire). 1–6. 5 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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