Akramul Azim

799 total citations
96 papers, 456 citations indexed

About

Akramul Azim is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Akramul Azim has authored 96 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Networks and Communications, 27 papers in Hardware and Architecture and 22 papers in Artificial Intelligence. Recurrent topics in Akramul Azim's work include Real-Time Systems Scheduling (21 papers), Software System Performance and Reliability (18 papers) and Network Security and Intrusion Detection (11 papers). Akramul Azim is often cited by papers focused on Real-Time Systems Scheduling (21 papers), Software System Performance and Reliability (18 papers) and Network Security and Intrusion Detection (11 papers). Akramul Azim collaborates with scholars based in Canada, India and Bangladesh. Akramul Azim's co-authors include Qusay H. Mahmoud, Nitin Auluck, Mohammad Mahfuzul Islam, Sebastian Fischmeister, Ramiro Liscano, Xue Liu, Dumitru Potop‐Butucaru, Xi Chen, Gonzalo Carvajal and K. Smith and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Journal of Parallel and Distributed Computing.

In The Last Decade

Akramul Azim

72 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akramul Azim Canada 12 292 128 114 87 72 96 456
Sriram Sankaran India 13 422 1.4× 153 1.2× 127 1.1× 206 2.4× 153 2.1× 70 667
Ahmed Khoumsi Canada 14 235 0.8× 86 0.7× 145 1.3× 74 0.9× 81 1.1× 87 637
Xiumin Zhou China 8 371 1.3× 87 0.7× 125 1.1× 302 3.5× 93 1.3× 13 610
Filipe Araújo Portugal 14 393 1.3× 57 0.4× 101 0.9× 176 2.0× 31 0.4× 69 543
Tobias Hoppe Germany 9 139 0.5× 189 1.5× 84 0.7× 77 0.9× 56 0.8× 30 382
Raja Naeem Akram United Kingdom 13 256 0.9× 132 1.0× 201 1.8× 244 2.8× 64 0.9× 58 548
Amit Kulkarni United States 12 210 0.7× 76 0.6× 98 0.9× 51 0.6× 129 1.8× 30 389
Rimon Barr United States 9 555 1.9× 174 1.4× 166 1.5× 62 0.7× 31 0.4× 10 662
Emmanuel Baccelli France 12 646 2.2× 290 2.3× 86 0.8× 141 1.6× 61 0.8× 41 799

Countries citing papers authored by Akramul Azim

Since Specialization
Citations

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

Fields of papers citing papers by Akramul Azim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akramul Azim

This figure shows the co-authorship network connecting the top 25 collaborators of Akramul Azim. A scholar is included among the top collaborators of Akramul Azim 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 Akramul Azim. Akramul Azim 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
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Azim, Akramul, et al.. (2024). A Systematic Literature Review on Requirements Engineering and Maintenance for Embedded Software. IEEE Access. 12. 114263–114279. 2 indexed citations
3.
Alqarni, M. M., et al.. (2024). A Systematic Literature Review on Vulnerabilities, Mitigation Techniques, and Attacks in Field-Programmable Gate Arrays. Arabian Journal for Science and Engineering. 50(2). 611–641.
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Azim, Akramul, et al.. (2024). An End-to-End Test Case Prioritization Framework using Optimized Machine Learning Models. 1–8. 1 indexed citations
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Mahmoud, Qusay H., et al.. (2023). A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing. Computers. 12(12). 255–255. 11 indexed citations
10.
Azim, Akramul, et al.. (2023). Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices. 2 indexed citations
11.
Azim, Akramul, et al.. (2023). A State-of-the-Art Review of Task Scheduling for Edge Computing: A Delay-Sensitive Application Perspective. Electronics. 12(12). 2599–2599. 16 indexed citations
12.
Mahmoud, Qusay H., et al.. (2022). A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2900–2905. 1 indexed citations
13.
Elgazzar, Khalid, et al.. (2022). Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 1164–1168. 2 indexed citations
14.
Azim, Akramul, et al.. (2021). Faster Fog Computing Based Over-the-Air Vehicular Updates: A Transfer Learning Approach. IEEE Transactions on Services Computing. 15(6). 3245–3259. 14 indexed citations
15.
Azim, Akramul, et al.. (2021). Triton: a Domain Specific Language for Cyber-Physical Systems. 810–816. 3 indexed citations
16.
Mahmoud, Qusay H., et al.. (2020). Remote Method Delegation: a Platform for Grid Computing. Journal of Grid Computing. 18(4). 711–725. 1 indexed citations
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Mahmoud, Qusay H., et al.. (2020). A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces. IEEE Transactions on Knowledge and Data Engineering. 1–1. 8 indexed citations
18.
Azim, Akramul, et al.. (2019). Feature characterization for CPS software reuse. 314–315. 2 indexed citations
19.
Azim, Akramul, et al.. (2019). Time-efficient offloading for machine learning tasks between embedded systems and fog nodes. 79–82. 9 indexed citations
20.
Azim, Akramul, et al.. (2018). Assuring the runtime behavior of self-adaptive cyber-physical systems using feature modeling.. Conference of the Centre for Advanced Studies on Collaborative Research. 48–59. 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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