Md. Mahbubur Rahman

1.4k total citations
29 papers, 790 citations indexed

About

Md. Mahbubur Rahman is a scholar working on Computer Networks and Communications, Artificial Intelligence and Modeling and Simulation. According to data from OpenAlex, Md. Mahbubur Rahman has authored 29 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 6 papers in Modeling and Simulation. Recurrent topics in Md. Mahbubur Rahman's work include COVID-19 epidemiological studies (6 papers), Network Security and Intrusion Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Md. Mahbubur Rahman is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Network Security and Intrusion Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Md. Mahbubur Rahman collaborates with scholars based in Bangladesh, United States and Japan. Md. Mahbubur Rahman's co-authors include Samrat Kumar Dey, Kazi Abu Taher, Umme Raihan Siddiqi, T. M. Shahriar Sazzad, Nafiz Imtiaz Khan, Ashraf Hossain, Le Wei, Dilruba Ahmed, Md. Sohel Rana and John S. Armstrong‐Altrin and has published in prestigious journals such as PLoS ONE, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Md. Mahbubur Rahman

26 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Mahbubur Rahman Bangladesh 11 313 245 136 130 121 29 790
Samrat Kumar Dey Bangladesh 17 467 1.5× 126 0.5× 60 0.4× 171 1.3× 164 1.4× 51 1.0k
Jyotismita Chaki India 18 359 1.1× 26 0.1× 105 0.8× 96 0.7× 280 2.3× 49 1.3k
Akhilesh Tiwari India 11 268 0.9× 72 0.3× 42 0.3× 18 0.1× 66 0.5× 43 662
Amitava Nag India 15 231 0.7× 164 0.7× 38 0.3× 14 0.1× 285 2.4× 67 673
Abdulaziz Alhumam Saudi Arabia 13 167 0.5× 199 0.8× 66 0.5× 11 0.1× 46 0.4× 31 561
Guesh Dagnew Saudi Arabia 8 260 0.8× 32 0.1× 28 0.2× 12 0.1× 72 0.6× 9 678
Ersin Elbaşı Kuwait 14 175 0.6× 70 0.3× 33 0.2× 31 0.2× 364 3.0× 64 977
Yadunath Pathak India 10 294 0.9× 43 0.2× 19 0.1× 21 0.2× 132 1.1× 19 619
Mohamad Roshanzamir Iran 16 555 1.8× 54 0.2× 15 0.1× 29 0.2× 95 0.8× 30 1.3k
Yanan Li China 14 264 0.8× 142 0.6× 24 0.2× 9 0.1× 119 1.0× 67 714

Countries citing papers authored by Md. Mahbubur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Mahbubur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Mahbubur Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mahbubur Rahman. A scholar is included among the top collaborators of Md. Mahbubur Rahman 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. Mahbubur Rahman. Md. Mahbubur Rahman 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.
Uddin, Khandaker Mohammad Mohi, et al.. (2024). Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data. Biomedical Materials & Devices. 3(1). 558–575. 6 indexed citations
2.
Alam, Nurul, Mahbub Elahi Chowdhury, Bidhan Krishna Sarker, et al.. (2024). Identifying the zero-dose and under-immunized children in Bangladesh: Approaches and experiences. PLoS ONE. 19(10). e0312171–e0312171.
3.
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Kundu, Dipanjali, Md. Mahbubur Rahman, Anichur Rahman, et al.. (2024). Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset. IEEE Access. 12. 32819–32829. 29 indexed citations
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Siddiqi, Umme Raihan, et al.. (2023). Plasma zinc, copper and serum ceruloplasmin levels of autism spectrum disorder children in Bangladesh. Heliyon. 9(8). e18624–e18624. 15 indexed citations
7.
Alam, Md. Golam Rabiul, et al.. (2023). A sustainable Bitcoin blockchain network through introducing dynamic block size adjustment using predictive analytics. Future Generation Computer Systems. 153. 12–26. 6 indexed citations
8.
Rahman, Md. Mahbubur, et al.. (2023). An Empirical Study of Deep Learning Models for Vulnerability Detection. 2237–2248. 52 indexed citations
9.
Uddin, Md. Josim, Immacolata Faraone, Md. Anwarul Haque, et al.. (2022). Insights into the leaves of Ceriscoides campanulata: Natural proanthocyanidins alleviate diabetes, inflammation, and esophageal squamous cell cancer via in vitro and in silico models. Fitoterapia. 158. 105164–105164. 8 indexed citations
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Rahman, Md. Mahbubur, et al.. (2021). VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images. IEEE Access. 9. 116942–116952. 152 indexed citations
12.
Saha, Otun, et al.. (2020). SARS-CoV-2 and COVID-19: A Threat to Global Health. 3. e13–e13. 7 indexed citations
13.
Dey, Samrat Kumar, et al.. (2020). Exploring Epidemiological Behavior of Novel Coronavirus (COVID-19) Outbreak in Bangladesh. SN Comprehensive Clinical Medicine. 2(10). 1724–1732. 10 indexed citations
14.
Rahman, Md. Mahbubur, et al.. (2020). Mental Health and Physical Health of People Living in Different Crowding Areas of Dhaka City. JOURNAL OF PSYCHOSOCIAL RESEARCH. 14(2). 445–453. 1 indexed citations
15.
Dey, Samrat Kumar & Md. Mahbubur Rahman. (2019). Effects of Machine Learning Approach in Flow-Based Anomaly Detection on Software-Defined Networking. Symmetry. 12(1). 7–7. 44 indexed citations
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Dey, Samrat Kumar, Ashraf Hossain, & Md. Mahbubur Rahman. (2018). Implementation of a Web Application to Predict Diabetes Disease: An Approach Using Machine Learning Algorithm. 1–5. 50 indexed citations
18.
Dey, Samrat Kumar & Md. Mahbubur Rahman. (2018). Flow Based Anomaly Detection in Software Defined Networking: A Deep Learning Approach With Feature Selection Method. 630–635. 33 indexed citations
19.
Ahmed, Dilruba, et al.. (2017). Bacterial etiology of bloodstream infections and antimicrobial resistance in Dhaka, Bangladesh, 2005–2014. Antimicrobial Resistance and Infection Control. 6(1). 2–2. 44 indexed citations
20.
Rahman, Md. Mahbubur, et al.. (2011). Preparation and In-Vitro Pharmacokinetic Evaluation of Compressed Kollidon® SR Based Salbutamol Sulphate Microcapsules: Effect of Pigments. 2(2). 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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