Md. Maniruzzaman

2.9k citations
93 papers · 1.8k · 1 hit paper · h-index 24

Impact in

Papers in

Co-authors
Md. Menhazul Abedin (10 shared papers)Md. Jahanur Rahman (15 shared papers)Benojir Ahammed (10 shared papers)Harman S. Suri (6 shared papers)Ayman El‐Baz (4 shared papers)Jungpil Shin (28 shared papers)Md. Al Mehedi Hasan (25 shared papers)Jasjit S. Suri (3 shared papers)
Journals
PLoS ONE (8 papers)IEEE Access (8 papers)Diabetes & Metabolic Syndrome Clinical Research & Reviews (4 papers)Scientific Reports (4 papers)Applied Sciences (3 papers)
Partner nations
BangladeshJapanUnited States

In The Last Decade

Md. Maniruzzaman

84 papers receiving 1.7k citations

Md. Maniruzzaman's Hit Papers

Classification and prediction of diabetes disease using machine learning paradigm 2020 · 231 citations
2310+2+4Years since publication50100150200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2020 Health Information Science and Systems

Peers

Md. Maniruzzaman
Comparison fields: 5 of 138
  • Health Information Management 523
  • Health Informatics 32
  • Artificial Intelligence 434
  • Complementary and alternative medicine 87
  • Psychiatry and Mental health 117
Replace Serguei Pakhomov with:
Serguei Pakhomov United States
Hanna Suominen Finland
Chien‐Yeh Hsu Taiwan
Qing Zeng‐Treitler United States
Iain Marshall United Kingdom
Ole Hejlesen Denmark
Jasjit S. Suri United States
Md. Menhazul Abedin Bangladesh
Yu Rang Park South Korea
Jie Xu China
Md. Maniruzzaman relative to Serguei Pakhomov United States Serguei Pakhomov's profile →
Citations per field
00.5×1.5×2.2×
Serguei Pakhomov · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Md. Maniruzzaman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Md. Maniruzzaman Line = papers co-authored together Md. Maniruzzaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Classification and prediction of diabetes disease using machine learning paradigm
Health Information Science and Systems ·Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin
Hit paper breakdown →		2020231
2
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers
Journal of Medical Systems ·Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri, Md. Menhazul Abedin, Ayman El‐Baz, Jasjit S. Suri
2018190
3
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm
Computer Methods and Programs in Biomedicine ·Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam, Harman S. Suri, Ayman El‐Baz, Jasjit S. Suri
2017183
4
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
Computer Methods and Programs in Biomedicine ·Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin, Harman S. Suri, Mainak Biswas, Ayman El‐Baz, Petros Bangeas, Georgios Tsoulfas, Jasjit S. Suri
201986
5
Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries
PLoS ONE ·Alamgir Sarder, Sheikh Mohammed Shariful Islam, Md. Maniruzzaman, Ashis Talukder, Benojir Ahammed
202149
6
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 ·Avijit Ghosh, Ferdous Ahmed, Md. Jannatul Ferdous, Mst. Miftahul Jannat Juhi, Mohammad Fokhrul Islam Buian, Asif Ahammad Miazee, Muhammad Sajid, Md. Maniruzzaman, Ammar M. Tighezza, Md Farad Ahmmed, Md. Shoriful Islam
202449
7
Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach
PLoS ONE ·Sayedur Rahman, N.A.M. Faisal Ahmed, Md. Menhazul Abedin, Benojir Ahammed, Mohammad Ali, Md. Jahanur Rahman, Md. Maniruzzaman
202146
8
Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques
IEEE Access ·Md. Maniruzzaman, Md. Al Mehedi Hasan, Nobuyoshi Asai, Jungpil Shin
202345
9
Risk factors of neonatal mortality and child mortality in Bangladesh
Journal of Global Health ·Md. Maniruzzaman, Harman S. Suri, Nishith Kumar, Md. Menhazul Abedin, Md. Jahanur Rahman, Ayman El‐Baz, Makrand Bhoot, Jagjit S. Teji, Jasjit S. Suri
201842
10
Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh
DOAJ (DOAJ: Directory of Open Access Journals) ·Md. Merajul Islam, Md. Jahanur Rahman, Md Moidul Islam, Dulal Chandra Roy, N.A.M. Faisal Ahmed, Sadiq Hussain, Md Amanullah, Md. Menhazul Abedin, Md. Maniruzzaman
202237
11
Determinants of depressive symptoms among older people in Bangladesh
Journal of Affective Disorders ·Md. Sazedur Rahman, Md. Ashfikur Rahman, Mohammad Ali, Md. Saidur Rahman, Md. Maniruzzaman, Mst. Anamika Yeasmin, N.A.M. Faisal Ahmed, Md. Menhazul Abedin, Sheikh Mohammed Shariful Islam
201936
12
Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal
Computers, materials & continua/Computers, materials & continua (Print) ·Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan, Akira Yasumura
202236
13
Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach
Diabetes & Metabolic Syndrome Clinical Research & Reviews ·Md. Merajul Islam, Md. Jahanur Rahman, Dulal Chandra Roy, Md. Maniruzzaman
202035
14
Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis
Applied Sciences ·Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan
202233
15
Least-Mean-Square algorithm based adaptive filters for removing power line interference from ECG signal
Md. Maniruzzaman, Kazi Md. Shimul Billah, Uzzal Biswas, Bablu Gain
201232
16
Regression analysis of student academic performance using deep learning
Education and Information Technologies ·Sadiq Hussain, Silvia Gaftandzhıeva, Md. Maniruzzaman, Rositsa Doneva, (unknown)
202032
17
Predicting risks of low birth weight in Bangladesh with machine learning
PLoS ONE ·S.M. Ashikul Islam Pollob, Md. Menhazul Abedin, Md. Touhidul Islam, Md. Merajul Islam, Md. Maniruzzaman
202229
18
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
PLoS ONE ·Md. Merajul Islam, Md. Jahangir Alam, Md. Maniruzzaman, N.A.M. Faisal Ahmed, Md Sujan Ali, Md. Jahanur Rahman, Dulal Chandra Roy
202328
19
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach
Computers in Biology and Medicine ·Elisa Cuadrado‐Godia, Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna, Tadashi Araki, Md. Maniruzzaman, Luca Saba, Andrew Nicolaides, Aditya Sharma, Tomaž Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, (unknown), Petros P. Sfikakis, George D. Kitas, Vijay Viswanathan, Jasjit S. Suri
201928
20
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort
Computers in Biology and Medicine ·Elisa Cuadrado‐Godia, Md. Maniruzzaman, Tadashi Araki, Anudeep Puvvula, Md. Jahanur Rahman, Luca Saba, Harman S. Suri, Ajay Gupta, Sumit K. Banchhor, Jagjit S. Teji, Tomaž Omerzu, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Sophie Mavrogeni, George D. Kitas, Jasjit S. Suri
201826

About Md. Maniruzzaman

Md. Maniruzzaman is a scholar working on Cognitive Neuroscience, Health Information Management, Computer Vision and Pattern Recognition, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Artificial Intelligence in Healthcare (10 papers), Attention Deficit Hyperactivity Disorder (8 papers), Child Nutrition and Water Access (8 papers), Hand Gesture Recognition Systems (6 papers), ECG Monitoring and Analysis (6 papers), Global Maternal and Child Health (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Health Information Management (523 citations), Health Informatics (32 citations), Artificial Intelligence (434 citations), Complementary and alternative medicine (87 citations) and Psychiatry and Mental health (117 citations). Md. Maniruzzaman has collaborated with scholars based in Bangladesh, Japan and United States. Frequent co-authors include Md. Menhazul Abedin, Md. Jahanur Rahman, Benojir Ahammed, Harman S. Suri, Ayman El‐Baz, Jungpil Shin, Md. Al Mehedi Hasan, Jasjit S. Suri, Nishith Kumar and N.A.M. Faisal Ahmed. Their work appears in journals such as PLoS ONE, IEEE Access, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Scientific Reports and Applied Sciences.

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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