Irfan‐Ullah Awan

472 total citations
21 papers, 288 citations indexed

About

Irfan‐Ullah Awan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Irfan‐Ullah Awan has authored 21 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 10 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Irfan‐Ullah Awan's work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (7 papers) and IoT and Edge/Fog Computing (5 papers). Irfan‐Ullah Awan is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (7 papers) and IoT and Edge/Fog Computing (5 papers). Irfan‐Ullah Awan collaborates with scholars based in United Kingdom, Saudi Arabia and India. Irfan‐Ullah Awan's co-authors include Muhammad Zubair Asghar, Shakeel Ahmad, Fahad Alotaibi, Ibrahim Ghafir, Sohag Kabir, Dhavalkumar Thakker, Demetres D. Kouvatsos, Mariam Kiran, Khalil El Hindi and Anand Mahendran and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Applied Sciences.

In The Last Decade

Irfan‐Ullah Awan

18 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irfan‐Ullah Awan United Kingdom 9 143 130 124 56 53 21 288
Rajeev R. Raje United States 12 159 1.1× 260 2.0× 250 2.0× 56 1.0× 31 0.6× 57 436
Jenny Torres Ecuador 7 128 0.9× 95 0.7× 169 1.4× 90 1.6× 33 0.6× 34 291
Qutaibah Althebyan Jordan 12 208 1.5× 81 0.6× 237 1.9× 43 0.8× 35 0.7× 33 333
Elisa Costante Netherlands 8 95 0.7× 108 0.8× 118 1.0× 55 1.0× 86 1.6× 16 237
Mohsen Lesani United States 11 151 1.1× 163 1.3× 126 1.0× 20 0.4× 33 0.6× 28 288
Giovanni Mazzeo Italy 9 107 0.7× 153 1.2× 182 1.5× 66 1.2× 22 0.4× 30 313
Sam Chung United States 11 119 0.8× 91 0.7× 191 1.5× 21 0.4× 35 0.7× 32 278
Florian Kelbert Germany 8 124 0.9× 190 1.5× 216 1.7× 58 1.0× 36 0.7× 16 290
Vitaly Klyuev Japan 10 101 0.7× 171 1.3× 137 1.1× 75 1.3× 32 0.6× 47 291
Femi Emmanuel Ayo Nigeria 9 107 0.7× 210 1.6× 60 0.5× 95 1.7× 17 0.3× 22 293

Countries citing papers authored by Irfan‐Ullah Awan

Since Specialization
Citations

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

Fields of papers citing papers by Irfan‐Ullah Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irfan‐Ullah Awan. 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 Irfan‐Ullah Awan. The network helps show where Irfan‐Ullah Awan may publish in the future.

Co-authorship network of co-authors of Irfan‐Ullah Awan

This figure shows the co-authorship network connecting the top 25 collaborators of Irfan‐Ullah Awan. A scholar is included among the top collaborators of Irfan‐Ullah Awan 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 Irfan‐Ullah Awan. Irfan‐Ullah Awan 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.
Awan, Irfan‐Ullah, et al.. (2025). An Overview of Distributed Firewalls and Controllers Intended for Mobile Cloud Computing. Applied Sciences. 15(4). 1931–1931. 1 indexed citations
2.
Ghafir, Ibrahim, et al.. (2025). Internet of Things botnets: A survey on Artificial Intelligence based detection techniques. Journal of Network and Computer Applications. 236. 104110–104110. 3 indexed citations
3.
Awan, Irfan‐Ullah, et al.. (2025). From Regulation to Reality: A Framework to Bridge the Gap in Digital Health Data Protection. Electronics. 14(13). 2629–2629. 1 indexed citations
4.
5.
Ghafir, Ibrahim, et al.. (2024). Latent Semantic Analysis for Feature Selection: A Proposed Approach for Anomaly Detection in Network Traffic. Bradford Scholars (University of Bradford). 517–522.
6.
Ghafir, Ibrahim, et al.. (2024). Non-Negative Matrix Factorisation for Feature Selection: A Proposed Approach for the Detection of Multi-Stage Attacks. Bradford Scholars (University of Bradford). 523–528. 1 indexed citations
7.
Ghafir, Ibrahim, et al.. (2024). Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection. IEEE Open Journal of the Communications Society. 5. 3904–3919. 3 indexed citations
8.
Ghafir, Ibrahim, et al.. (2023). Latent Dirichlet Allocation for the Detection of Multi-Stage Attacks. 1–7. 6 indexed citations
9.
Ghafir, Ibrahim, et al.. (2022). Multi-stage Attack Detection: Emerging Challenges for Wireless Networks. Bradford Scholars (University of Bradford). 1–5. 8 indexed citations
10.
Ghafir, Ibrahim, et al.. (2022). Unsupervised Learning for Feature Selection: A Proposed Solution for Botnet Detection in 5G Networks. IEEE Transactions on Industrial Informatics. 19(1). 921–929. 34 indexed citations
11.
Awan, Irfan‐Ullah, et al.. (2022). The Case for Validating ADDIE Model as a Digital Forensic Model for Peer-to-Peer Network Investigation. Information Systems Frontiers. 26(6). 2305–2321.
12.
Ghafir, Ibrahim, et al.. (2021). Machine Learning for Botnet Detection: An Optimized Feature Selection Approach. Bradford Scholars (University of Bradford). 195–200. 14 indexed citations
13.
Thakker, Dhavalkumar, et al.. (2020). Edge‐based blockchain enabled anomaly detection for insider attack prevention in Internet of Things. Transactions on Emerging Telecommunications Technologies. 32(6). 22 indexed citations
14.
Ahmad, Shakeel, Muhammad Zubair Asghar, Fahad Alotaibi, & Irfan‐Ullah Awan. (2019). Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Human-centric Computing and Information Sciences. 9(1). 104 indexed citations
15.
Thakker, Dhavalkumar, et al.. (2019). Multi-layer Approach to Internet of Things (IoT) Security. 109–116. 5 indexed citations
16.
Ahmad, Shakeel, Muhammad Zubair Asghar, Fahad Alotaibi, & Irfan‐Ullah Awan. (2019). Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Human-centric Computing and Information Sciences. 9(1). 13 indexed citations
17.
Thakker, Dhavalkumar, et al.. (2019). Ethereum Blockchain-Based Solution to Insider Threats on Perception Layer of IoT Systems. 1–6. 8 indexed citations
18.
Kiran, Mariam, et al.. (2017). Failover strategy for fault tolerance in cloud computing environment. Software Practice and Experience. 47(9). 1243–1274. 24 indexed citations
19.
Kiran, Mariam, et al.. (2016). Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment. Bradford Scholars (University of Bradford). 15 indexed citations
20.
Kiran, Mariam, et al.. (2016). An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment. iv. 542–549. 7 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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2026