Md. Maniruzzaman

2.8k total citations · 1 hit paper
90 papers, 1.7k citations indexed

About

Md. Maniruzzaman is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Md. Maniruzzaman has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Cardiology and Cardiovascular Medicine and 14 papers in Health Information Management. Recurrent topics in Md. Maniruzzaman's work include Artificial Intelligence in Healthcare (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Child Nutrition and Water Access (11 papers). Md. Maniruzzaman is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Child Nutrition and Water Access (11 papers). Md. Maniruzzaman collaborates with scholars based in Bangladesh, Japan and United States. Md. Maniruzzaman's co-authors include Md. Menhazul Abedin, Md. Jahanur Rahman, Benojir Ahammed, Harman S. Suri, Ayman El‐Baz, Jasjit S. Suri, Jungpil Shin, Md. Al Mehedi Hasan, Nishith Kumar and N.A.M. Faisal Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Md. Maniruzzaman

78 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Classification and prediction of diabetes disease using machine learning paradigm

2020 225 citations Md. Maniruzzaman, Md. Jahanur Rahman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md. Maniruzzaman Bangladesh	24	558	495	222	175	167	90	1.7k
Chien‐Yeh Hsu Taiwan	23	220 0.4×	146 0.3×	88 0.4×	129 0.7×	89 0.5×	114	1.8k
Hanna Suominen Finland	28	160 0.3×	539 1.1×	97 0.4×	26 0.1×	41 0.2×	146	2.9k
Qi Long United States	31	50 0.1×	305 0.6×	166 0.7×	177 1.0×	76 0.5×	191	3.3k
Qing Zeng‐Treitler United States	26	228 0.4×	816 1.6×	78 0.4×	46 0.3×	84 0.5×	117	2.2k
Vince I. Madai Germany	25	198 0.4×	635 1.3×	115 0.5×	59 0.3×	200 1.2×	71	2.7k
Ole Hejlesen Denmark	26	248 0.4×	153 0.3×	355 1.6×	29 0.2×	39 0.2×	224	2.5k
Md. Menhazul Abedin Bangladesh	11	464 0.8×	391 0.8×	77 0.3×	89 0.5×	9 0.1×	14	897
Serguei Pakhomov United States	28	357 0.6×	1.6k 3.3×	679 3.1×	57 0.3×	266 1.6×	135	3.6k
Jessilyn Dunn United States	26	99 0.2×	143 0.3×	676 3.0×	66 0.4×	192 1.1×	73	3.1k
Sooyoung Yoo South Korea	23	317 0.6×	268 0.5×	178 0.8×	53 0.3×	101 0.6×	127	1.8k

Countries citing papers authored by Md. Maniruzzaman

Since Specialization

Citations

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

Fields of papers citing papers by Md. Maniruzzaman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Maniruzzaman

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Maniruzzaman. A scholar is included among the top collaborators of Md. Maniruzzaman 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. Maniruzzaman. Md. Maniruzzaman 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

Begum, Firoza, Md. Maniruzzaman, Kosuke Shimizu, et al.. (2025). Enhancing Galantamine Distribution in Rat Brain Using Microplasma-Assisted Nose-to-Brain Drug Delivery. International Journal of Molecular Sciences. 26(4). 1710–1710.

Maniruzzaman, Md., et al.. (2025). MicroRNA dynamics, PTEN/PI3K/AKT signaling, and their relationship to breast cancer: prospects for pharmaceuticals and natural product application. Breast Cancer Research and Treatment. 209(3). 467–485.

Miah, Abu Saleh Musa, et al.. (2025). Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning. Scientific Reports. 15(1). 28027–28027.

Ghosh, Avijit, Mohammad Fokhrul Islam Buian, Muhammad Sajid, et al.. (2024). Strain-induced changes in the electronic, optical and mechanical properties of the inorganic cubic halide perovskite Sr3PBr3 with FP-DFT. Journal of Physics and Chemistry of Solids. 191. 112053–112053. 43 indexed citations

Maniruzzaman, Md., Yoichi Tomioka, Md. Al Mehedi Hasan, et al.. (2024). Machine Learning-Based ADHD Detection From fNIRs Signal During Reverse Stroop Tasks. IEEE Access. 12. 82984–82995. 4 indexed citations

Maniruzzaman, Md., et al.. (2024). Overall Summery of Gulf Country Employees from Bangladesh, Preliminary Evaluation for Abnormal Kidney Liver and Virally Infected Individuals Using Low-cost Tests Like CBC Parameters. Chemical Science International Journal. 33(4). 19–33.

Maniruzzaman, Md., et al.. (2024). Empowering blockchain with SmartNIC: Enhancing performance, security, and scalability. World Journal of Advanced Research and Reviews. 22(1). 151–162. 4 indexed citations

Al‐Zubayer, Md. Akib, et al.. (2024). Machine learning models for prediction of double and triple burdens of non-communicable diseases in Bangladesh. Journal of Biosocial Science. 56(3). 426–444. 1 indexed citations

Islam, Md. Monirul, Ariful Islam, Md. Maniruzzaman, et al.. (2024). Elucidating Gender-Specific Distribution of Imipramine, Chloroquine, and Their Metabolites in Mice Kidney Tissues through AP-MALDI-MSI. International Journal of Molecular Sciences. 25(9). 4840–4840. 3 indexed citations

10.

Shin, Jungpil, Masahiro Matsumoto, Md. Maniruzzaman, et al.. (2024). Classification of Hand-Movement Disabilities in Parkinson’s Disease Using a Motion-Capture Device and Machine Learning. IEEE Access. 12. 52466–52479. 8 indexed citations

11.

Rahman, Mohammad Atikur, et al.. (2024). Skin cancer classification using NASNet. International Journal of Science and Research Archive. 11(1). 775–785. 23 indexed citations

12.

Alam, Md. Shahidul, et al.. (2023). Microsatellite marker-based genetic diversity assessment among exotic and native maize inbred lines of Bangladesh. Saudi Journal of Biological Sciences. 30(8). 103715–103715. 4 indexed citations

13.

Alam, Md. Jahangir, et al.. (2023). Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia. PLoS ONE. 18(8). e0289613–e0289613. 25 indexed citations

14.

Alam, Md. Jahangir, et al.. (2022). Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh. PLoS ONE. 17(10). e0276718–e0276718. 12 indexed citations

15.

Abedin, Md. Menhazul, et al.. (2022). Predicting risks of low birth weight in Bangladesh with machine learning. PLoS ONE. 17(5). e0267190–e0267190. 27 indexed citations

16.

Maniruzzaman, Md., et al.. (2021). Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm. SHILAP Revista de lepidopterología. 3. 100026–100026. 12 indexed citations

17.

Rahman, Md. Jahanur, et al.. (2021). Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(3). 877–884. 23 indexed citations

18.

Maniruzzaman, Md., Md. Jahanur Rahman, Benojir Ahammed, et al.. (2019). Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms. Computer Methods and Programs in Biomedicine. 176. 173–193. 84 indexed citations

19.

Rahman, Md. Sazedur, Md. Ashfikur Rahman, Md. Saidur Rahman, et al.. (2019). Determinants of depressive symptoms among older people in Bangladesh. Journal of Affective Disorders. 264. 157–162. 35 indexed citations

20.

Maniruzzaman, Md., Md. Jahanur Rahman, Harman S. Suri, et al.. (2018). Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers. Journal of Medical Systems. 42(5). 92–92. 186 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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