Kamran Shaukat

81 total papers · 4.8k total citations
73 papers, 3.1k citations indexed

About

Kamran Shaukat is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kamran Shaukat has authored 73 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Kamran Shaukat's work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers) and Imbalanced Data Classification Techniques (7 papers). Kamran Shaukat is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers) and Imbalanced Data Classification Techniques (7 papers). Kamran Shaukat collaborates with scholars based in Pakistan, Australia and Norway. Kamran Shaukat's co-authors include Suhuai Luo, Ibrahim A. Hameed, Talha Mahboob Alam, Vijay Varadharajan, Farhat Iqbal, Matloob Khushi, Min Xu, Jiaming Li, Dongxi Liu and Adeel Nasir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Kamran Shaukat

69 papers receiving 2.9k citations

Hit Papers

A Survey on Machine Learn... 2020 2026 2022 2024 2020 2020 2021 2021 2022 100 200 300
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
    2020 314 citations Kamran Shaukat, Suhuai Luo et al. IEEE Access profile →
  2. Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
    2020 207 citations Kamran Shaukat, Suhuai Luo et al. Energies profile →
  3. A Review of Content-Based and Context-Based Recommendation Systems
    2021 193 citations Kamran Shaukat, Ibrahim A. Hameed et al. International Journal of Emerging Technologies in Learning (iJET) profile →
  4. A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data
    2021 190 citations Matloob Khushi, Kamran Shaukat et al. IEEE Access profile →
  5. Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images
    2022 186 citations Chetana Srinivas, Mohammed Zakariah et al. Journal of Healthcare Engineering profile →
  6. A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review
    2023 125 citations Usman Tariq, Irfan Ahmed et al. Sensors profile →
  7. A novel deep learning-based approach for malware detection
    2023 115 citations Kamran Shaukat, Suhuai Luo et al. Engineering Applications of Artificial Intelligence profile →
  8. An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
    2022 113 citations Talha Mahboob Alam, Kamran Shaukat et al. Diagnostics profile →
  9. Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
    2024 40 citations Suhuai Luo, Kamran Shaukat et al. SHILAP Revista de lepidopterología profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kamran Shaukat 1.3k 768 639 565 405 73 3.1k
Mamoona Humayun 928 0.7× 1.1k 1.4× 981 1.5× 414 0.7× 333 0.8× 167 3.4k
Sweta Bhattacharya 1.4k 1.1× 1.1k 1.5× 833 1.3× 315 0.6× 627 1.5× 61 4.2k
Sami Azam 1.4k 1.1× 580 0.8× 690 1.1× 306 0.5× 434 1.1× 157 3.5k
Muhammad Fazal Ijaz 1.3k 1.0× 652 0.8× 468 0.7× 186 0.3× 792 2.0× 96 4.4k
Kathiravan Srinivasan 879 0.7× 559 0.7× 363 0.6× 208 0.4× 415 1.0× 171 3.6k
Muzammil Hussain 943 0.7× 752 1.0× 936 1.5× 361 0.6× 433 1.1× 92 4.1k
Md. Ashraf Uddin 920 0.7× 772 1.0× 735 1.2× 210 0.4× 267 0.7× 129 2.4k
Kuruva Lakshmanna 859 0.6× 641 0.8× 333 0.5× 160 0.3× 417 1.0× 51 2.7k
Farman Ali 1.4k 1.1× 665 0.9× 603 0.9× 233 0.4× 443 1.1× 145 4.2k
Ibrahim A. Hameed 1.5k 1.1× 740 1.0× 694 1.1× 398 0.7× 891 2.2× 235 5.2k

Countries citing papers authored by Kamran Shaukat

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Shaukat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Shaukat

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Fernando Vidal‐Vanaclocha Breakdown of academic impact, for papers by Alan Lewis Breakdown of academic impact, for papers by Marietta Lee Breakdown of academic impact, for papers by Dong Wu Breakdown of academic impact, for papers by Catherine Sarraf Breakdown of academic impact, for papers by Chad Abbey Breakdown of academic impact, for papers by Assaâd Sila Breakdown of academic impact, for papers by Yao Yao
Rankless by CCL
2026