Md. Rashed-Al-Mahfuz

885 total citations
15 papers, 585 citations indexed

About

Md. Rashed-Al-Mahfuz is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Md. Rashed-Al-Mahfuz has authored 15 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Md. Rashed-Al-Mahfuz's work include EEG and Brain-Computer Interfaces (5 papers), COVID-19 diagnosis using AI (3 papers) and ECG Monitoring and Analysis (2 papers). Md. Rashed-Al-Mahfuz is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), COVID-19 diagnosis using AI (3 papers) and ECG Monitoring and Analysis (2 papers). Md. Rashed-Al-Mahfuz collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Md. Rashed-Al-Mahfuz's co-authors include Mohammad Ali Moni, Salem A. Alyami, Shahadat Uddin, Julian M.W. Quinn, Píetro Lió, Matthew A. Summers, AKM Azad, Sakifa Aktar, Md. Martuza Ahamad and Valsamma Eapen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Sciences.

In The Last Decade

Md. Rashed-Al-Mahfuz

15 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md. Rashed-Al-Mahfuz Bangladesh	10	200	185	130	97	81	15	585
Talha Burak Alakuş Türkiye	10	162 0.8×	325 1.8×	375 2.9×	138 1.4×	43 0.5×	26	797
Delaram Sadeghi Australia	9	352 1.8×	173 0.9×	196 1.5×	23 0.2×	23 0.3×	11	710
Rahul Sharma India	9	243 1.2×	127 0.7×	146 1.1×	114 1.2×	6 0.1×	22	507
Álvaro Alesanco Spain	18	85 0.4×	153 0.8×	32 0.2×	33 0.3×	70 0.9×	53	889
Jiewei Jiang China	13	49 0.2×	174 0.9×	475 3.7×	116 1.2×	38 0.5×	49	941
Sajid Gul Khawaja Pakistan	12	113 0.6×	65 0.4×	150 1.2×	87 0.9×	13 0.2×	50	496
Maíra Araújo de Santana Brazil	10	54 0.3×	92 0.5×	192 1.5×	27 0.3×	18 0.2×	32	338
Kiran Kumar Patro India	14	144 0.7×	102 0.6×	70 0.5×	19 0.2×	31 0.4×	24	502
Allam Jaya Prakash India	15	162 0.8×	115 0.6×	79 0.6×	31 0.3×	35 0.4×	30	633

Countries citing papers authored by Md. Rashed-Al-Mahfuz

Since Specialization

Citations

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

Fields of papers citing papers by Md. Rashed-Al-Mahfuz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Rashed-Al-Mahfuz. 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. Rashed-Al-Mahfuz. The network helps show where Md. Rashed-Al-Mahfuz may publish in the future.

Co-authorship network of co-authors of Md. Rashed-Al-Mahfuz

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

All Works

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15 of 15 papers shown

Rashed-Al-Mahfuz, Md., et al.. (2023). Recognizing Command Words using Deep Recurrent Neural Network for Both Acoustic and Throat Speech. 3(2). 7–13. 1 indexed citations

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

Aktar, Sakifa, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz, et al.. (2021). Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development. JMIR Medical Informatics. 9(4). e25884–e25884. 52 indexed citations

Rashed-Al-Mahfuz, Md., Mohammad Ali Moni, Shahadat Uddin, et al.. (2021). A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–12. 86 indexed citations

Rashed-Al-Mahfuz, Md., Mohammad Ali Moni, Píetro Lió, et al.. (2021). Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions. Biomedical Engineering Letters. 11(2). 147–162. 45 indexed citations

Islam, Md. Rabiul, Mohammad Ali Moni, Md. Milon Islam, et al.. (2021). Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access. 9. 94601–94624. 129 indexed citations

Paek, Andrew, Justin Brantley, Kevin Nathan, et al.. (2021). A Roadmap Towards Standards for Neurally Controlled End Effectors. IEEE Open Journal of Engineering in Medicine and Biology. 2. 84–90. 6 indexed citations

Rashed-Al-Mahfuz, Md., Abedul Haque, AKM Azad, et al.. (2021). Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–11. 48 indexed citations

Rashed-Al-Mahfuz, Md., et al.. (2021). Vulnerability in Deep Transfer Learning Models to Adversarial Fast Gradient Sign Attack for COVID-19 Prediction from Chest Radiography Images. Applied Sciences. 11(9). 4233–4233. 40 indexed citations

10.

Ahamad, Md. Martuza, Sakifa Aktar, Md. Rashed-Al-Mahfuz, et al.. (2020). A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Systems with Applications. 160. 113661–113661. 111 indexed citations

11.

Rashed-Al-Mahfuz, Md., et al.. (2019). SVM Model for Feature Selection to Increase Accuracy and Reduce False Positive Rate in Falls Detection. 282. 1–5. 2 indexed citations

12.

Moni, Mohammad Ali, Md Rezanur Rahman, Md. Rashed-Al-Mahfuz, et al.. (2019). Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. IEEE Access. 8. 1486–1497. 15 indexed citations

13.

Islam, Md. Rabiul, et al.. (2013). Speech enhancement using spectral weighting with EMD-based post filtering. 29–32. 1 indexed citations

14.

Rashed-Al-Mahfuz, Md., Md. Rabiul Islam, Keikichi Hirose, & Md. Khademul Islam Molla. (2013). Artifact suppression and analysis of brain activities with electroencephalography signals.. PubMed. 8(16). 1500–13. 7 indexed citations

15.

Islam, Md. Rabiul, Md. Rashed-Al-Mahfuz, Shamim Ahmad, & Md. Khademul Islam Molla. (2012). Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition. Discrete Dynamics in Nature and Society. 2012(1). 20 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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