Md. Alimul Haque

753 total citations
32 papers, 318 citations indexed

About

Md. Alimul Haque is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Md. Alimul Haque has authored 32 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 17 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Md. Alimul Haque's work include Network Security and Intrusion Detection (8 papers), Internet of Things and AI (7 papers) and Advanced Malware Detection Techniques (7 papers). Md. Alimul Haque is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Internet of Things and AI (7 papers) and Advanced Malware Detection Techniques (7 papers). Md. Alimul Haque collaborates with scholars based in India, Saudi Arabia and Jordan. Md. Alimul Haque's co-authors include Sultan Ahmad, Kailash Kumar, Jabeen Nazeer, Marisennayya Senapathy, Hikmat A. M. Abdeljaber, A. A. Abd El-Aziz, Md. Alamgir Hossain, Jagdeep Singh, Anita Gehlot and Saqib Qamar and has published in prestigious journals such as Materials Today Proceedings, SN Computer Science and International Journal of Information Technology.

In The Last Decade

Md. Alimul Haque

29 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md. Alimul Haque India	11	143	82	62	52	45	32	318
Yoanes Bandung Indonesia	9	91 0.6×	64 0.8×	54 0.9×	21 0.4×	26 0.6×	95	345
Zainuddin Hassan Malaysia	7	150 1.0×	49 0.6×	45 0.7×	73 1.4×	48 1.1×	33	347
Norliza Katuk Malaysia	11	107 0.7×	84 1.0×	107 1.7×	64 1.2×	11 0.2×	66	412
Zulfiqar Ali Memon Pakistan	12	96 0.7×	66 0.8×	94 1.5×	24 0.5×	21 0.5×	46	321
Shrirang Mare United States	12	250 1.7×	98 1.2×	79 1.3×	117 2.3×	97 2.2×	34	507
Bahtijar Vogel Sweden	12	199 1.4×	99 1.2×	69 1.1×	19 0.4×	23 0.5×	39	442
Affan Yasin China	13	320 2.2×	79 1.0×	122 2.0×	89 1.7×	23 0.5×	45	523
Imam Much Ibnu Subroto Indonesia	9	171 1.2×	77 0.9×	156 2.5×	51 1.0×	14 0.3×	42	450
Yusep Rosmansyah Indonesia	14	176 1.2×	74 0.9×	126 2.0×	53 1.0×	63 1.4×	91	534
Phil Laplante United States	12	109 0.8×	56 0.7×	60 1.0×	22 0.4×	21 0.5×	56	358

Countries citing papers authored by Md. Alimul Haque

Since Specialization

Citations

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

Fields of papers citing papers by Md. Alimul Haque

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Alimul Haque. 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 Md. Alimul Haque. The network helps show where Md. Alimul Haque may publish in the future.

Co-authorship network of co-authors of Md. Alimul Haque

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

All Works

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20 of 20 papers shown

Ahmad, Sultan, et al.. (2025). Machine Learning Approaches in Cybersecurity to Enhance Security in Future Network Technologies. SN Computer Science. 6(4).

Hossain, Md. Alamgir, et al.. (2024). AI-enabled approach for enhancing obfuscated malware detection: a hybrid ensemble learning with combined feature selection techniques. International Journal of Systems Assurance Engineering and Management. 18 indexed citations

Haque, Md. Alimul, Sultan Ahmad, Ali J. Abboud, et al.. (2024). 6G Wireless Communication Networks. 19(1). 1–27. 8 indexed citations

Ahmad, Sultan, Md. Alimul Haque, Hikmat A. M. Abdeljaber, et al.. (2024). Phishing Website Detection: A Dataset-Centric Approach for Enhanced Security. Data & Metadata. 3. 1 indexed citations

Haque, Md. Alimul, et al.. (2024). Predicting Housing Sale Prices Using Machine Learning with Various Data Split Ratios. Data & Metadata. 3. 1 indexed citations

Hossain, Md. Alamgir, et al.. (2024). Towards superior android ransomware detection: An ensemble machine learning perspective. 3. 100076–100076. 3 indexed citations

Haque, Md. Alimul, Sultan Ahmad, Md. Alamgir Hossain, et al.. (2024). Internet of things enabled E-learning system for academic achievement among university students. E-Learning and Digital Media. 6 indexed citations

Haque, Md. Alimul, et al.. (2023). Analytical Studies on the Effectiveness of IoMT for Healthcare Systems. Iraqi Journal of Science. 4719–4728. 6 indexed citations

Haque, Md. Alimul, et al.. (2023). Assessing the Impact of IoT Enabled E-Learning System for Higher Education. SN Computer Science. 4(5). 10 indexed citations

10.

Haque, Md. Alimul, et al.. (2023). Analyzing University Students' Awareness of Cybersecurity. 250–257. 5 indexed citations

11.

Haque, Md. Alimul, et al.. (2023). Internet of Things (IoT) based Model for Water Management System. 1–5. 3 indexed citations

12.

Haque, Md. Alimul, et al.. (2023). Achieving Organizational Effectiveness through Machine Learning Based Approaches for Malware Analysis and Detection. Data & Metadata. 2. 139–139. 12 indexed citations

13.

Haque, Md. Alimul, et al.. (2022). The Factor Affecting Student’s Performance of E-Learning Environment Using Machine Learning Algorithm. 12682–12682. 2 indexed citations

14.

Haque, Md. Alimul, et al.. (2022). Learning management system empowered by machine learning. AIP conference proceedings. 2393. 20085–20085. 8 indexed citations

15.

Haque, Md. Alimul, et al.. (2021). An IoT Based Model to Defend Covid 19 Outbreak. International Journal of Innovative Technology and Exploring Engineering. 10(7). 152–157. 2 indexed citations

16.

Haque, Md. Alimul & Ben Belton. (2021). Shrimp farming and research in Bangladesh adapts to COVID-19 pandemic. 1 indexed citations

17.

Haque, Md. Alimul, et al.. (2021). An IoT model for securing examinations from malpractices. Materials Today Proceedings. 81. 371–376. 12 indexed citations

18.

Haque, Md. Alimul, et al.. (2020). An IoT-Based Model for Defending Against the Novel Coronavirus (COVID-19) Outbreak. Solid State Technology. 592–600. 6 indexed citations

19.

Haque, Md. Alimul, et al.. (2013). A Study of Cognitive Wireless Sensor Networks:Taxonomy of Attacks and Countermeasures - TI Journals.

20.

Haque, Md. Alimul, et al.. (2012). Performance of WiMAX over WiFi with Reliable QoS over Wireless Communication Network - TI Journals. 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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