Muhammad Ibrar

620 total citations
25 papers, 422 citations indexed

About

Muhammad Ibrar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Muhammad Ibrar has authored 25 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 4 papers in Information Systems. Recurrent topics in Muhammad Ibrar's work include IoT and Edge/Fog Computing (13 papers), Software-Defined Networks and 5G (9 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Muhammad Ibrar is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Software-Defined Networks and 5G (9 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Muhammad Ibrar collaborates with scholars based in Pakistan, China and United States. Muhammad Ibrar's co-authors include Lei Wang, Aamir Akbar, Nadir Shah, Gabriel‐Miro Muntean, Mian Ahmad Jan, Houbing Song, Aiman Erbad, Kaleem Razzaq Malik, Ali Kashif Bashir and Jenhui Chen and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.

In The Last Decade

Muhammad Ibrar

24 papers receiving 406 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 Ibrar Pakistan 13 308 182 80 54 39 25 422
Aamir Akbar Pakistan 11 269 0.9× 129 0.7× 102 1.3× 51 0.9× 23 0.6× 17 356
Haoli Zhu China 7 264 0.9× 150 0.8× 61 0.8× 71 1.3× 26 0.7× 8 381
Madhuri Bhavsar India 11 253 0.8× 143 0.8× 138 1.7× 87 1.6× 24 0.6× 53 401
Hossam Afifi France 14 369 1.2× 194 1.1× 110 1.4× 79 1.5× 51 1.3× 50 537
Bangbang Ren China 12 272 0.9× 100 0.5× 56 0.7× 30 0.6× 21 0.5× 49 375
Faqir Zarrar Yousaf Germany 14 607 2.0× 317 1.7× 79 1.0× 41 0.8× 51 1.3× 44 714
Tianpeng Ye China 8 261 0.8× 134 0.7× 91 1.1× 105 1.9× 18 0.5× 12 361
Zhiheng Sun China 5 231 0.8× 137 0.8× 97 1.2× 83 1.5× 16 0.4× 5 351
Zhixiu Yao China 7 239 0.8× 147 0.8× 71 0.9× 88 1.6× 25 0.6× 10 379
Zhijing Qin United States 8 470 1.5× 156 0.9× 64 0.8× 43 0.8× 38 1.0× 15 542

Countries citing papers authored by Muhammad Ibrar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ibrar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ibrar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ibrar. A scholar is included among the top collaborators of Muhammad Ibrar 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 Ibrar. Muhammad Ibrar 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.
Ibrar, Muhammad, et al.. (2024). ML-based Meta-Model Usability Evaluation of Mobile Medical Apps. International Journal of Advanced Computer Science and Applications. 15(1). 6 indexed citations
2.
Han, Mu, et al.. (2024). A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15314–15341. 16 indexed citations
3.
Ibrar, Muhammad, et al.. (2024). Real-time Emergency Message Dissemination in IoV: A Cluster-based Approach with SDN and Fog Computing. 1716–1722. 1 indexed citations
4.
Ibrar, Muhammad, Hayla Nahom Abishu, Abegaz Mohammed Seid, et al.. (2024). Survey on Demand Response in the Landscape of Adaptive and Intelligent Building Energy Management Systems. 1203–1209. 3 indexed citations
5.
Márquez-Sánchez, Sergio, Aiman Erbad, Muhammad Ibrar, et al.. (2023). Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort. Electronics. 12(19). 4179–4179. 15 indexed citations
6.
Hu, Xiao, et al.. (2023). PBCLR: Prediction-based control-plane load reduction in a software-defined IoT network. Internet of Things. 24. 100934–100934. 6 indexed citations
7.
Ibrar, Muhammad, Aiman Erbad, Abegaz Mohammed Seid, et al.. (2023). REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart Buildings. 860–865. 3 indexed citations
8.
Akbar, Aamir, Muhammad Ibrar, Mian Ahmad Jan, et al.. (2023). SeAC: SDN-Enabled Adaptive Clustering Technique for Social-Aware Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 24(5). 4827–4835. 19 indexed citations
9.
10.
Iqbal, Muhammad Munwar, et al.. (2023). Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A Review. IEEE Transactions on Intelligent Transportation Systems. 24(12). 13548–13572. 13 indexed citations
11.
12.
Malik, Tauqeer Safdar, Kaleem Razzaq Malik, Muhammad Ibrar, et al.. (2022). RL-IoT: Reinforcement Learning-Based Routing Approach for Cognitive Radio-Enabled IoT Communications. IEEE Internet of Things Journal. 10(2). 1836–1847. 28 indexed citations
13.
Ibrar, Muhammad, Lei Wang, Nadir Shah, et al.. (2022). Reliability-Aware Flow Distribution Algorithm in SDN-Enabled Fog Computing for Smart Cities. IEEE Transactions on Vehicular Technology. 72(1). 573–588. 29 indexed citations
14.
Ibrar, Muhammad, Lei Wang, Aamir Akbar, et al.. (2022). Adaptive Capacity Task Offloading in Multi-Hop D2D-Based Social Industrial IoT. IEEE Transactions on Network Science and Engineering. 10(5). 2843–2852. 11 indexed citations
15.
Ibrar, Muhammad, et al.. (2022). DSMLB: Dynamic switch-migration based load balancing for software-defined IoT network. Computer Networks. 214. 109145–109145. 20 indexed citations
16.
Ibrar, Muhammad, Lei Wang, Aamir Akbar, et al.. (2021). 3-D-SIS: A 3-D-Social Identifier Structure for Collaborative Edge Computing Based Social IoT. IEEE Transactions on Computational Social Systems. 9(1). 313–323. 12 indexed citations
17.
Ibrar, Muhammad, et al.. (2021). SOSW: scalable and optimal nearsighted location selection for fog node deployment and routing in SDN-based wireless networks for IoT systems. Annals of Telecommunications. 76(5-6). 331–341. 19 indexed citations
18.
Ibrar, Muhammad, Aamir Akbar, Mian Ahmad Jan, et al.. (2020). ARTNet: Ai-Based Resource Allocation and Task Offloading in a Reconfigurable Internet of Vehicular Networks. IEEE Transactions on Network Science and Engineering. 9(1). 67–77. 36 indexed citations
19.
Ibrar, Muhammad, et al.. (2020). Software-Defined Networking (SDN) based VANET Architecture: Mitigation of Traffic Congestion. International Journal of Advanced Computer Science and Applications. 11(3). 28 indexed citations
20.

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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