Sakib Mahmud

1.9k total citations · 1 hit paper
82 papers, 1.1k citations indexed

About

Sakib Mahmud is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sakib Mahmud has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sakib Mahmud's work include Non-Invasive Vital Sign Monitoring (17 papers), ECG Monitoring and Analysis (10 papers) and COVID-19 diagnosis using AI (9 papers). Sakib Mahmud is often cited by papers focused on Non-Invasive Vital Sign Monitoring (17 papers), ECG Monitoring and Analysis (10 papers) and COVID-19 diagnosis using AI (9 papers). Sakib Mahmud collaborates with scholars based in Bangladesh, Qatar and Malaysia. Sakib Mahmud's co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir, Nabil Ibtehaz, Mohamed Arselene Ayari, Tawsifur Rahman, Serkan Kıranyaz, Somaya Al-Máadeed, Yazan Qiblawey and Md Shafayet Hossain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Sakib Mahmud

72 papers receiving 1.1k 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.

COVID-19 infection localization and severity grading from chest X-ray images

2022 116 citations Anas Tahir, Muhammad E. H. Chowdhury et al. Qatar University QSpace (Qatar University) profile →

Peers

Sakib Mahmud

RNMI

CCM

SURGE

Tianyi Zhang China

Mohamad Forouzanfar Canada

Menghan Hu China

Deep Gupta India

Fahime Khozeimeh Iran

Melissa Berthelot United Kingdom

Friso De Boer Australia

Xiaoliang Wang China

Jo Woon Chong United States

Tianyi Zhang China

Sakib Mahmud

160 ×0.5

RNMI

157 ×0.7

CCM

436 ×2.3

108 ×0.9

SURGE

Citations per year, relative to Sakib Mahmud Sakib Mahmud (= 1×) peers Tianyi Zhang

Countries citing papers authored by Sakib Mahmud

Since Specialization

Citations

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

Fields of papers citing papers by Sakib Mahmud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakib Mahmud

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

Faisal, Md. Ahasan Atick, Sakib Mahmud, Anas Tahir, et al.. (2025). Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD. Medical & Biological Engineering & Computing. 63(7). 2173–2190. 1 indexed citations

Chowdhury, Moajjem Hossain, Muhammad E. H. Chowdhury, Khalid Abualsaud, et al.. (2024). QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning. IEEE Access. 12. 77774–77790. 4 indexed citations

Chowdhury, Muhammad E. H., Amith Khandakar, Nasser Al‐Emadi, et al.. (2024). GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. IEEE Access. 12. 188755–188765. 1 indexed citations

Faisal, Md. Ahasan Atick, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, et al.. (2023). NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern. Applied Intelligence. 53(17). 20034–20046. 15 indexed citations

Hossain, Md Shafayet, Sakib Mahmud, Amith Khandakar, et al.. (2023). MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering. 10(5). 579–579. 18 indexed citations

Kashem, Saad Bin Abul, et al.. (2023). GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management. Waste Management. 174. 439–450. 25 indexed citations

Chowdhury, Muhammad E. H., Nasser Al‐Emadi, Huseyin C. Yalcin, et al.. (2023). A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN. Expert Systems with Applications. 235. 121196–121196. 22 indexed citations

Hossain, Md. Arju, Md Sohel, Md. Sharif Khan, et al.. (2023). Study of kaempferol in the treatment of COVID-19 combined with Chikungunya co-infection by network pharmacology and molecular docking technology. Informatics in Medicine Unlocked. 40(3). 101289–101289. 7 indexed citations

Mahmud, Sakib, Hosney Jahan, Md Habibur Rahman, et al.. (2023). A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron. Diagnostics. 13(12). 2106–2106. 13 indexed citations

10.

Faisal, Md. Ahasan Atick, Sakib Mahmud, Muhammad E. H. Chowdhury, et al.. (2023). Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics. Neural Computing and Applications. 36(3). 1105–1121. 4 indexed citations

11.

Mahmud, Sakib, et al.. (2023). Kidney Cancer Diagnosis and Surgery Selection by Machine Learning from CT Scans Combined with Clinical Metadata. Cancers. 15(12). 3189–3189. 35 indexed citations

12.

Chowdhury, Muhammad E. H., Mohammad Tariqul Islam, Farayi Musharavati, et al.. (2023). Design and Performance Evaluation of a Novel Spiral Head-Stem Trunnion for Hip Implants Using Finite Element Analysis. Materials. 16(4). 1466–1466. 3 indexed citations

13.

Chowdhury, Muhammad E. H., et al.. (2023). PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. Engineering Applications of Artificial Intelligence. 122. 106130–106130. 14 indexed citations

14.

Tahir, Anas, Muhammad E. H. Chowdhury, Amith Khandakar, et al.. (2022). COVID-19 infection localization and severity grading from chest X-ray images. Qatar University QSpace (Qatar University). 116 indexed citations breakdown →

15.

Ibtehaz, Nabil, Sakib Mahmud, Muhammad E. H. Chowdhury, et al.. (2022). PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms. Bioengineering. 9(11). 692–692. 67 indexed citations

16.

Mahmud, Sakib, Nabil Ibtehaz, Amith Khandakar, et al.. (2022). A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors. 22(3). 919–919. 49 indexed citations

17.

Rahman, Tawsifur, Nabil Ibtehaz, Amith Khandakar, et al.. (2022). QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds. Diagnostics. 12(4). 920–920. 21 indexed citations

18.

Qiblawey, Yazan, Anas Tahir, Muhammad E. H. Chowdhury, et al.. (2021). Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning. MDPI (MDPI AG). 88 indexed citations

19.

Mahmud, Sakib, et al.. (2021). COVID-19 vaccine willingness and hesitancy among residents in Qatar: a quantitative analysis based on machine learning. Journal of Human Behavior in the Social Environment. 32(7). 899–922. 7 indexed citations

20.

Sarker, Md Nazirul Islam, et al.. (2019). Promoting digital agriculture through big data for sustainable farm management. International journal of innovation and applied studies. 25(4). 1235–1240. 33 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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