Samrat Kumar Dey

1.9k total citations
51 papers, 1.0k citations indexed

About

Samrat Kumar Dey is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Samrat Kumar Dey has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samrat Kumar Dey's work include Network Security and Intrusion Detection (8 papers), AI in cancer detection (7 papers) and Artificial Intelligence in Healthcare (6 papers). Samrat Kumar Dey is often cited by papers focused on Network Security and Intrusion Detection (8 papers), AI in cancer detection (7 papers) and Artificial Intelligence in Healthcare (6 papers). Samrat Kumar Dey collaborates with scholars based in Bangladesh, Brunei and Saudi Arabia. Samrat Kumar Dey's co-authors include Md. Mahbubur Rahman, Khandaker Mohammad Mohi Uddin, Umme Raihan Siddiqi, T. M. Shahriar Sazzad, Nafiz Imtiaz Khan, Md Mahbubur Rahman, Ashraf Hossain, Atika Qazi, Dipanjali Kundu and Rafid Mostafiz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Samrat Kumar Dey

49 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samrat Kumar Dey Bangladesh 17 467 272 173 171 164 51 1.0k
M. Rubaiyat Hossain Mondal Bangladesh 18 518 1.1× 304 1.1× 86 0.5× 64 0.4× 123 0.8× 75 1.2k
Saad Alanazi Saudi Arabia 20 376 0.8× 165 0.6× 58 0.3× 62 0.4× 145 0.9× 84 1.1k
Subrato Bharati Bangladesh 17 411 0.9× 290 1.1× 80 0.5× 52 0.3× 73 0.4× 43 887
Prabhu Jayagopal India 15 222 0.5× 135 0.5× 49 0.3× 99 0.6× 163 1.0× 83 826
Roseline Oluwaseun Ogundokun Nigeria 16 315 0.7× 163 0.6× 30 0.2× 53 0.3× 131 0.8× 99 836
Mohammed Ali Al-Garadi United States 17 750 1.6× 226 0.8× 35 0.2× 50 0.3× 207 1.3× 45 1.4k
Madallah Alruwaili Saudi Arabia 19 326 0.7× 204 0.8× 29 0.2× 72 0.4× 179 1.1× 57 973
Nora El-Rashidy Egypt 15 312 0.7× 209 0.8× 129 0.7× 47 0.3× 80 0.5× 47 876
Javad Hassannataj Joloudari Iran 14 350 0.7× 187 0.7× 171 1.0× 34 0.2× 75 0.5× 33 811
Jawad Rasheed Türkiye 15 315 0.7× 247 0.9× 155 0.9× 20 0.1× 115 0.7× 71 780

Countries citing papers authored by Samrat Kumar Dey

Since Specialization
Citations

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

Fields of papers citing papers by Samrat Kumar Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samrat Kumar Dey. 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 Samrat Kumar Dey. The network helps show where Samrat Kumar Dey may publish in the future.

Co-authorship network of co-authors of Samrat Kumar Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Samrat Kumar Dey. A scholar is included among the top collaborators of Samrat Kumar Dey 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 Samrat Kumar Dey. Samrat Kumar Dey 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.
Dey, Samrat Kumar, et al.. (2025). Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach. SHILAP Revista de lepidopterología. 5(2). 100193–100193. 3 indexed citations
2.
Islam, Tania, et al.. (2024). Recurrent neural network based multiclass cyber bullying classification. SHILAP Revista de lepidopterología. 9. 100111–100111. 3 indexed citations
3.
Uddin, Khandaker Mohammad Mohi, et al.. (2023). Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset. Intelligence-Based Medicine. 7. 100100–100100. 26 indexed citations
4.
Uddin, Khandaker Mohammad Mohi, et al.. (2023). Artificial Intelligence Based Domotics Using Multimodal Security. International Journal of Intelligent Systems and Applications. 15(3). 44–55. 1 indexed citations
5.
Uddin, Khandaker Mohammad Mohi, et al.. (2023). XML‐LightGBMDroid: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis. Engineering Reports. 5(11). 12 indexed citations
6.
Uddin, Khandaker Mohammad Mohi, et al.. (2023). Machine Learning-Based Chronic Kidney Cancer Prediction Application: A Predictive Analytics Approach. Biomedical Materials & Devices. 2(2). 1028–1048. 8 indexed citations
7.
Uddin, Khandaker Mohammad Mohi, et al.. (2023). XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer. Journal of Pathology Informatics. 14. 100307–100307. 20 indexed citations
8.
Kabir, Mohammad Humayun, et al.. (2022). Network Intrusion Detection Using UNSW-NB15 Dataset: Stacking Machine Learning Based Approach. 1–6. 24 indexed citations
9.
Uddin, Khandaker Mohammad Mohi, Samrat Kumar Dey, Hafiz Md. Hasan Babu, et al.. (2022). Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images. Scientific Reports. 12(1). 21796–21796. 6 indexed citations
10.
Dey, Samrat Kumar, et al.. (2022). Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach. PLoS ONE. 17(7). e0270933–e0270933. 34 indexed citations
11.
Qazi, Atika, et al.. (2022). SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education. Heliyon. 9(1). e12705–e12705. 12 indexed citations
12.
Dey, Samrat Kumar, et al.. (2022). Performance Evaluation of Various Deep Convolutional Neural Network Models Through Classification of Malware. International Journal of Information and Computer Security. 1(1). 1–1. 1 indexed citations
13.
Alghazzawi, Daniyal, Atika Qazi, Javaria Qazi, et al.. (2021). Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence. Sustainability. 13(20). 11339–11339. 4 indexed citations
14.
Uddin, Khandaker Mohammad Mohi, et al.. (2021). Artificial Intelligence Based Real-Time Attendance System Using Face Recognition. 1–6. 8 indexed citations
15.
Dey, Samrat Kumar, et al.. (2020). COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images. Informatics in Medicine Unlocked. 20. 100405–100405. 115 indexed citations
16.
Dey, Samrat Kumar, et al.. (2019). Design and Development of Hand Gesture Based Virtual Mouse. 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). 1–5. 39 indexed citations
17.
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
20.
Dey, Samrat Kumar, et al.. (2018). Minimization of Sewing Defects of an Apparel Industry in Bangladesh with 5S & PDCA. 5(1). 17–24. 10 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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