Iqbal H. Sarker

16.2k total citations · 8 hit papers
102 papers, 8.4k citations indexed

About

Iqbal H. Sarker is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Iqbal H. Sarker has authored 102 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 26 papers in Computer Networks and Communications and 26 papers in Information Systems. Recurrent topics in Iqbal H. Sarker's work include Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (20 papers) and Human Mobility and Location-Based Analysis (19 papers). Iqbal H. Sarker is often cited by papers focused on Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (20 papers) and Human Mobility and Location-Based Analysis (19 papers). Iqbal H. Sarker collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Iqbal H. Sarker's co-authors include A. S. M. Kayes, Paul Watters, Asif Irshad Khan, Yoosef B. Abushark, Fawaz Alsolami, Hamed Alqahtani, Shahriar Badsha, Alex Ng, Mohammed Moshiul Hoque and Jun Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Iqbal H. Sarker

98 papers receiving 7.9k citations

Hit Papers

Machine Learning: Algorithms, Real-World Applications and... 2020 2026 2022 2024 2021 2021 2022 2020 2021 500 1000 1.5k 2.0k 2.5k
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. Machine Learning: Algorithms, Real-World Applications and Research Directions
    2021 2.8k citations Iqbal H. Sarker SN Computer Science profile →
  2. Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
    2021 1.4k citations Iqbal H. Sarker SN Computer Science profile →
  3. AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
    2022 539 citations Iqbal H. Sarker SN Computer Science profile →
  4. Cybersecurity data science: an overview from machine learning perspective
    2020 366 citations Iqbal H. Sarker, A. S. M. Kayes et al. Journal Of Big Data profile →
  5. AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions
    2021 263 citations Iqbal H. Sarker et al. SN Computer Science profile →
  6. Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective
    2021 234 citations Iqbal H. Sarker SN Computer Science profile →
  7. Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions
    2022 201 citations Iqbal H. Sarker et al. profile →
  8. Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects
    2024 60 citations Iqbal H. Sarker, Helge Janicke et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iqbal H. Sarker Bangladesh 32 2.6k 1.5k 1.3k 956 723 102 8.4k
A. S. Albahri Iraq 48 1.9k 0.7× 1.2k 0.8× 1.1k 0.9× 447 0.5× 882 1.2× 166 7.5k
Simon Fong Macao 39 2.8k 1.1× 917 0.6× 934 0.7× 536 0.6× 942 1.3× 428 7.1k
Junaid Qadir Pakistan 45 2.2k 0.9× 1.8k 1.2× 952 0.8× 579 0.6× 458 0.6× 237 7.6k
Yanchun Zhang Australia 52 3.2k 1.2× 1.5k 1.0× 2.2k 1.7× 1.1k 1.1× 1.3k 1.8× 498 10.0k
O. S. Albahri Malaysia 50 1.6k 0.6× 1.2k 0.8× 1.2k 0.9× 356 0.4× 808 1.1× 133 6.9k
Sotiris Kotsiantis Greece 32 4.9k 1.9× 927 0.6× 1.7k 1.3× 649 0.7× 976 1.3× 185 11.3k
Praveen Kumar Reddy Maddikunta India 48 3.3k 1.3× 2.7k 1.8× 1.9k 1.5× 782 0.8× 1.1k 1.6× 128 9.9k
Gunasekaran Manogaran United States 45 1.7k 0.7× 1.6k 1.0× 1.4k 1.1× 328 0.3× 1.6k 2.1× 122 6.6k
Sanjay Misra Nigeria 49 1.8k 0.7× 1.4k 0.9× 2.0k 1.5× 601 0.6× 487 0.7× 492 10.9k
Geoffrey I. Webb Australia 58 5.3k 2.1× 871 0.6× 2.2k 1.7× 1.5k 1.6× 1.1k 1.5× 252 14.1k

Countries citing papers authored by Iqbal H. Sarker

Since Specialization
Citations

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

Fields of papers citing papers by Iqbal H. Sarker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iqbal H. Sarker. 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 Iqbal H. Sarker. The network helps show where Iqbal H. Sarker may publish in the future.

Co-authorship network of co-authors of Iqbal H. Sarker

This figure shows the co-authorship network connecting the top 25 collaborators of Iqbal H. Sarker. A scholar is included among the top collaborators of Iqbal H. Sarker 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 Iqbal H. Sarker. Iqbal H. Sarker 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.
Sarker, Iqbal H., et al.. (2026). SME-TEAM: leveraging trust and ethics for secure and responsible use of AI and LLMs in SMEs. SHILAP Revista de lepidopterología. 2(1).
2.
Sarker, Iqbal H., et al.. (2026). An explainable transformer-based model for phishing email detection: A large language model approach. Computer Networks. 277. 112061–112061.
3.
Yang, Lu‐Xing, Gang Li, Robin Doss, et al.. (2025). Mitigating malware prevalence in networks with arbitrary topologies: a Flip-It cyber game approach integrated with epidemic modeling. Information Sciences. 726. 122753–122753.
4.
5.
Hasan, Mohd., Mohammad Shahriar Rahman, Mohammad Jabed Morshed Chowdhury, & Iqbal H. Sarker. (2025). CNN Based Deep Learning Modeling with Explainability Analysis for Detecting Fraudulent Blockchain Transactions. Australasian Journal of Paramedicine. 3. 100101–100101. 2 indexed citations
6.
Ferrag, Mohamed Amine, Mohamed Chahine Ghanem, Iqbal H. Sarker, et al.. (2025). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. SHILAP Revista de lepidopterología. 25(6). 1666–1666. 10 indexed citations
7.
Janicke, Helge, et al.. (2024). Automated Sensor Node Malicious Activity Detection with Explainability Analysis. Sensors. 24(12). 3712–3712. 3 indexed citations
8.
Faruqui, Nuruzzaman, et al.. (2024). AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization. IEEE Access. 12. 195188–195203. 7 indexed citations
9.
Hoque, Mohammed Moshiul, et al.. (2023). CovTiNet: Covid text identification network using attention-based positional embedding feature fusion. Neural Computing and Applications. 35(18). 13503–13527. 17 indexed citations
10.
Deb, Kaushik, et al.. (2023). Improved YOLOv5-Based Real-Time Road Pavement Damage Detection in Road Infrastructure Management. Algorithms. 16(9). 452–452. 26 indexed citations
11.
Iqbal, Md Asif, et al.. (2022). BEmoC: A Corpus for Identifying Emotion in Bengali Texts. SN Computer Science. 3(2). 135–135. 21 indexed citations
12.
Ahamad, Md. Martuza, Sakifa Aktar, Md. Jamal Uddin, et al.. (2022). Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity. Healthcare. 11(1). 31–31. 22 indexed citations
13.
Arefin, Mohammad Shamsul, et al.. (2022). CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation. IEEE Access. 10. 36299–36310. 15 indexed citations
14.
Islam, Muhammad Nazrul, et al.. (2022). COVID-19 analytics: Towards the effect of vaccine brands through analyzing public sentiment of tweets. Informatics in Medicine Unlocked. 31. 100969–100969. 8 indexed citations
15.
Sharmin, Shayla, Mohammed Moshiul Hoque, S. M. Riazul Islam, Md. Fazlul Kader, & Iqbal H. Sarker. (2021). Development of Duplex Eye Contact Framework for Human-Robot Inter Communication. IEEE Access. 9. 54435–54456. 5 indexed citations
16.
Hoque, Mohammed Moshiul, et al.. (2021). Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks. IEEE Access. 9. 100319–100338. 17 indexed citations
17.
Sarker, Iqbal H.. (2021). Machine Learning: Algorithms, Real-World Applications and Research Directions. SN Computer Science. 2(3). 160–160. 2810 indexed citations breakdown →
18.
Sarker, Iqbal H.. (2021). Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions. SN Computer Science. 2(6). 420–420. 1440 indexed citations breakdown →
19.
Sarker, Iqbal H., A. S. M. Kayes, Shahriar Badsha, et al.. (2020). Cybersecurity data science: an overview from machine learning perspective. Journal Of Big Data. 7(1). 366 indexed citations breakdown →
20.
Sharif, Omar, et al.. (2020). Detecting Suspicious Texts Using Machine Learning Techniques. Applied Sciences. 10(18). 6527–6527. 27 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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