Imtiaz Ullah

1.5k total citations · 2 hit papers
13 papers, 759 citations indexed

About

Imtiaz Ullah is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Imtiaz Ullah has authored 13 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Imtiaz Ullah's work include Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Advanced Malware Detection Techniques (8 papers). Imtiaz Ullah is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Advanced Malware Detection Techniques (8 papers). Imtiaz Ullah collaborates with scholars based in Canada and Pakistan. Imtiaz Ullah's co-authors include Qusay H. Mahmoud, Muhammad Zakarya and Izaz Ur Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Electronics.

In The Last Decade

Imtiaz Ullah

13 papers receiving 721 citations

Hit Papers

Design and Development of a Deep Learning-Based Model for... 2021 2026 2022 2024 2021 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks
    2021 238 citations Imtiaz Ullah, Qusay H. Mahmoud IEEE Access profile →
  2. Design and Development of RNN Anomaly Detection Model for IoT Networks
    2022 134 citations Imtiaz Ullah, Qusay H. Mahmoud IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imtiaz Ullah Canada 12 651 547 384 132 66 13 759
Mengmeng Ge Australia 12 587 0.9× 311 0.6× 356 0.9× 96 0.7× 180 2.7× 22 669
Gideon Creech Australia 7 719 1.1× 586 1.1× 495 1.3× 68 0.5× 127 1.9× 10 810
Zhihan Li China 7 359 0.6× 404 0.7× 186 0.5× 62 0.5× 39 0.6× 11 517
Ali A. Ghorbani Canada 10 337 0.5× 235 0.4× 195 0.5× 60 0.5× 94 1.4× 23 451
Markus Ring Germany 7 672 1.0× 569 1.0× 377 1.0× 60 0.5× 92 1.4× 11 781
Jiong Zhang United States 7 528 0.8× 464 0.8× 229 0.6× 50 0.4× 132 2.0× 17 664
Rahim Taheri United Kingdom 12 345 0.5× 265 0.5× 245 0.6× 52 0.4× 171 2.6× 28 540
Zahra Jadidi Australia 13 368 0.6× 292 0.5× 162 0.4× 105 0.8× 136 2.1× 49 540
Eduardo K. Viegas Brazil 13 458 0.7× 355 0.6× 289 0.8× 61 0.5× 92 1.4× 58 591
Giampaolo Bovenzi Italy 10 423 0.6× 371 0.7× 208 0.5× 41 0.3× 55 0.8× 23 516

Countries citing papers authored by Imtiaz Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Imtiaz Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imtiaz Ullah

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

All Works

13 of 13 papers shown
1.
Ullah, Imtiaz & Qusay H. Mahmoud. (2022). An Anomaly Detection Model for IoT Networks based on Flow and Flag Features using a Feed-Forward Neural Network. 363–368. 22 indexed citations
2.
Ullah, Imtiaz & Qusay H. Mahmoud. (2022). Design and Development of RNN Anomaly Detection Model for IoT Networks. IEEE Access. 10. 62722–62750. 134 indexed citations breakdown →
3.
Ullah, Imtiaz & Qusay H. Mahmoud. (2021). A Framework for Anomaly Detection in IoT Networks Using Conditional Generative Adversarial Networks. IEEE Access. 9. 165907–165931. 55 indexed citations
4.
Ullah, Imtiaz & Qusay H. Mahmoud. (2021). Network Traffic Flow Based Machine Learning Technique for IoT Device Identification. 1–8. 19 indexed citations
5.
Ullah, Imtiaz & Qusay H. Mahmoud. (2021). Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks. IEEE Access. 9. 103906–103926. 238 indexed citations breakdown →
6.
Ullah, Imtiaz, et al.. (2021). Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks. SHILAP Revista de lepidopterología. 2(3). 428–448. 33 indexed citations
7.
Ullah, Imtiaz & Qusay H. Mahmoud. (2020). A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks. 134–140. 49 indexed citations
8.
Ullah, Imtiaz & Qusay H. Mahmoud. (2020). A Two-Level Flow-Based Anomalous Activity Detection System for IoT Networks. Electronics. 9(3). 530–530. 64 indexed citations
9.
Ullah, Imtiaz & Qusay H. Mahmoud. (2019). A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks. 1–6. 44 indexed citations
10.
Ullah, Imtiaz & Qusay H. Mahmoud. (2017). A filter-based feature selection model for anomaly-based intrusion detection systems. 2151–2159. 30 indexed citations
11.
Ullah, Imtiaz & Qusay H. Mahmoud. (2017). An intrusion detection framework for the smart grid. 1–5. 23 indexed citations
12.
Ullah, Imtiaz & Qusay H. Mahmoud. (2017). A hybrid model for anomaly-based intrusion detection in SCADA networks. 2160–2167. 45 indexed citations
13.
Zakarya, Muhammad, Izaz Ur Rahman, & Imtiaz Ullah. (2012). An Overview of File Server Group in Distributed Systems. International Journal of Engineering and Technology. 4(6). 730–733. 3 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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