Aamir Akbar

492 total citations
17 papers, 356 citations indexed

About

Aamir Akbar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Aamir Akbar has authored 17 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in Aamir Akbar's work include IoT and Edge/Fog Computing (14 papers), Software-Defined Networks and 5G (6 papers) and IoT Networks and Protocols (4 papers). Aamir Akbar is often cited by papers focused on IoT and Edge/Fog Computing (14 papers), Software-Defined Networks and 5G (6 papers) and IoT Networks and Protocols (4 papers). Aamir Akbar collaborates with scholars based in Pakistan, China and United Kingdom. Aamir Akbar's co-authors include Muhammad Ibrar, Lei Wang, Nadir Shah, Gabriel‐Miro Muntean, Mian Ahmad Jan, Peter R. Lewis, Ali Kashif Bashir, Houbing Song, Jenhui Chen and Muhammad Bilal 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

Aamir Akbar

17 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aamir Akbar Pakistan 11 269 129 102 51 23 17 356
Abdukodir Khakimov Russia 10 247 0.9× 139 1.1× 110 1.1× 40 0.8× 11 0.5× 34 340
Muhammad Ibrar Pakistan 13 308 1.1× 182 1.4× 80 0.8× 54 1.1× 39 1.7× 25 422
Chien-Chang Liu Taiwan 8 201 0.7× 117 0.9× 148 1.5× 75 1.5× 18 0.8× 15 286
Zhiheng Sun China 5 231 0.9× 137 1.1× 97 1.0× 83 1.6× 16 0.7× 5 351
Ramon dos Reis Fontes Brazil 10 336 1.2× 228 1.8× 63 0.6× 35 0.7× 23 1.0× 21 402
Seyed Salar Sefati Romania 12 356 1.3× 174 1.3× 166 1.6× 57 1.1× 12 0.5× 34 483
Tianpeng Ye China 8 261 1.0× 134 1.0× 91 0.9× 105 2.1× 18 0.8× 12 361
Weifeng Gao China 8 269 1.0× 216 1.7× 66 0.6× 51 1.0× 12 0.5× 13 401
Bangbang Ren China 12 272 1.0× 100 0.8× 56 0.5× 30 0.6× 21 0.9× 49 375

Countries citing papers authored by Aamir Akbar

Since Specialization
Citations

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

Fields of papers citing papers by Aamir Akbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aamir Akbar

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

All Works

17 of 17 papers shown
1.
Akbar, Aamir, et al.. (2023). SaVE: Self-aware Vehicular Edge Computing with Efficient Resource Allocation. 157–162. 1 indexed citations
2.
Jan, Mian Ahmad, Wenjing Zhang, Aamir Akbar, et al.. (2023). A Hybrid Mutual Authentication Approach for Artificial Intelligence of Medical Things. IEEE Internet of Things Journal. 11(1). 311–320. 9 indexed citations
3.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Rehman, Ateeq Ur, Yar Muhammad, Mohammad Dahman Alshehri, et al.. (2021). Blockchain-Enabled healthcare system for detection of diabetes. Journal of Information Security and Applications. 58. 102771–102771. 52 indexed citations
10.
Akbar, Aamir, Peter R. Lewis, & Elizabeth F. Wanner. (2020). A Self-Aware and Scalable Solution for Efficient Mobile-Cloud Hybrid Robotics. Frontiers in Robotics and AI. 7. 102–102. 5 indexed citations
11.
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
12.
Akbar, Aamir, Muhammad Ibrar, Mian Ahmad Jan, Ali Kashif Bashir, & Lei Wang. (2020). SDN-Enabled Adaptive and Reliable Communication in IoT-Fog Environment Using Machine Learning and Multiobjective Optimization. IEEE Internet of Things Journal. 8(5). 3057–3065. 52 indexed citations
13.
Ibrar, Muhammad, Lei Wang, Gabriel‐Miro Muntean, et al.. (2020). IHSF: An Intelligent Solution for Improved Performance of Reliable and Time-Sensitive Flows in Hybrid SDN-Based FC IoT Systems. IEEE Internet of Things Journal. 8(5). 3130–3142. 45 indexed citations
14.
Ibrar, Muhammad, Lei Wang, Gabriel‐Miro Muntean, et al.. (2020). PrePass-Flow: A Machine Learning based technique to minimize ACL policy violation due to links failure in hybrid SDN. Computer Networks. 184. 107706–107706. 36 indexed citations
15.
Akbar, Aamir & Peter R. Lewis. (2018). Self-Adaptive and Self-Aware Mobile-Cloud Hybrid Robotics. 52. 262–267. 6 indexed citations
16.
Akbar, Aamir & Peter R. Lewis. (2018). The importance of granularity in multiobjective optimization of mobile cloud hybrid applications. Transactions on Emerging Telecommunications Technologies. 30(8). 10 indexed citations
17.
Akbar, Aamir & Peter R. Lewis. (2017). Towards the optimization of power and bandwidth consumption in mobile-cloud hybrid applications. Aston Publications Explorer (Aston University). 213–218. 11 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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