Samit Kumar Ghosh

1.2k total citations
46 papers, 761 citations indexed

About

Samit Kumar Ghosh is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Samit Kumar Ghosh has authored 46 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Cardiology and Cardiovascular Medicine and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Samit Kumar Ghosh's work include Phonocardiography and Auscultation Techniques (17 papers), ECG Monitoring and Analysis (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Samit Kumar Ghosh is often cited by papers focused on Phonocardiography and Auscultation Techniques (17 papers), ECG Monitoring and Analysis (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Samit Kumar Ghosh collaborates with scholars based in India, United Arab Emirates and Singapore. Samit Kumar Ghosh's co-authors include Rajesh Kumar Tripathy, U. Rajendra Acharya, R. N. Ponnalagu, Ram Bilas Pachori, Jay Karhade, Ahsan H. Khandoker, Manish Sharma, A. K. Choudhury, Ganesh R. Naik and Mario R. Arrieta Paternina and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Samit Kumar Ghosh

40 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samit Kumar Ghosh India 14 294 288 213 111 91 46 761
Ramesh Kumar Sunkaria India 18 112 0.4× 558 1.9× 350 1.6× 100 0.9× 44 0.5× 94 956
F. Bereksi‐Reguig Algeria 15 473 1.6× 424 1.5× 165 0.8× 159 1.4× 24 0.3× 57 888
Edilson Delgado‐Trejos Colombia 12 118 0.4× 106 0.4× 91 0.4× 81 0.7× 28 0.3× 54 485
Shivnarayan Patidar India 14 204 0.7× 503 1.7× 656 3.1× 405 3.6× 25 0.3× 28 1.1k
Binish Fatimah India 10 48 0.2× 195 0.7× 233 1.1× 93 0.8× 36 0.4× 27 554
Gökhan Altan Türkiye 14 243 0.8× 94 0.3× 128 0.6× 155 1.4× 13 0.1× 31 609
Taikang Ning United States 10 95 0.3× 96 0.3× 173 0.8× 129 1.2× 15 0.2× 66 451
Palani Thanaraj Krishnan India 14 198 0.7× 114 0.4× 177 0.8× 106 1.0× 81 0.9× 39 939
M. Bilginer Gülmezoğlu Türkiye 10 71 0.2× 362 1.3× 233 1.1× 100 0.9× 13 0.1× 29 734
Y. Padma Sai India 12 72 0.2× 193 0.7× 144 0.7× 60 0.5× 13 0.1× 49 466

Countries citing papers authored by Samit Kumar Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Samit Kumar Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samit Kumar Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Samit Kumar Ghosh. A scholar is included among the top collaborators of Samit Kumar Ghosh 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 Samit Kumar Ghosh. Samit Kumar Ghosh 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.
Nayak, Ajit Kumar, et al.. (2025). Deep Learning-Based Hybrid Model with Multi-Head Attention for Multi-Horizon Stock Price Prediction. Journal of risk and financial management. 18(10). 551–551. 1 indexed citations
2.
Alkhodari, Mohanad, et al.. (2025). Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer. Computers in Biology and Medicine. 189. 110002–110002.
3.
Ghosh, Samit Kumar, et al.. (2025). Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning. Frontiers in Medicine. 12. 1551557–1551557.
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Ghosh, Samit Kumar, et al.. (2023). Multiscale Analysis Domain Interpretable Deep Neural Network for Detection of Breast Cancer Using Thermogram Images. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 16 indexed citations
7.
Ghosh, Samit Kumar & Ahsan H. Khandoker. (2023). A machine learning driven nomogram for predicting chronic kidney disease stages 3–5. Scientific Reports. 13(1). 21613–21613. 3 indexed citations
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Ghosh, Samit Kumar & R. N. Ponnalagu. (2022). INVESTIGATION OF DISCRETE WAVELET TRANSFORM DOMAIN OPTIMAL PARAMETRIC APPROACH FOR DENOISING OF PHONOCARDIOGRAM SIGNAL. Journal of Mechanics in Medicine and Biology. 22(6). 5 indexed citations
10.
Ghosh, Samit Kumar, R. N. Ponnalagu, Rajesh Kumar Tripathy, Ganapati Panda, & Ram Bilas Pachori. (2022). Automated Heart Sound Activity Detection From PCG Signal Using Time–Frequency-Domain Deep Neural Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 26 indexed citations
11.
Ghosh, Samit Kumar, et al.. (2021). A Transform Domain Approach for the Compression of Fetal Phonocardiogram Signal. IEEE Sensors Letters. 5(5). 1–4. 12 indexed citations
12.
Karhade, Jay, et al.. (2021). AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals. Computers in Biology and Medicine. 137. 104783–104783. 54 indexed citations
13.
Ghosh, Samit Kumar, et al.. (2021). Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals. Computers in Biology and Medicine. 134. 104428–104428. 93 indexed citations
14.
Ghosh, Samit Kumar, R. N. Ponnalagu, Rajesh Kumar Tripathy, & U. Rajendra Acharya. (2020). Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time‐Frequency Representation of PCG Recordings. BioMed Research International. 2020(1). 8843963–8843963. 20 indexed citations
15.
Ghosh, Samit Kumar, et al.. (2020). Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network. Journal of Medical Systems. 44(6). 114–114. 39 indexed citations
16.
Ghosh, Samit Kumar, R. N. Ponnalagu, Rajesh Kumar Tripathy, & U. Rajendra Acharya. (2020). Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals. Computers in Biology and Medicine. 118. 103632–103632. 109 indexed citations
17.
Ghosh, Samit Kumar, Rajesh Kumar Tripathy, R. N. Ponnalagu, & Ram Bilas Pachori. (2019). Automated Detection of Heart Valve Disorders From the PCG Signal Using Time-Frequency Magnitude and Phase Features. IEEE Sensors Letters. 3(12). 1–4. 72 indexed citations
18.
Ghosh, Samit Kumar, et al.. (2015). Comparative error rate analysis of cooperative spectrum sensing in non-fading and fading environments. 124–127. 7 indexed citations
19.
Ghosh, Samit Kumar, et al.. (2005). Diffraction of P-wave by crack in an elastic strip at asymmetric position. European Journal of Mechanics - A/Solids. 25(2). 299–307. 2 indexed citations
20.
Ghosh, Samit Kumar, et al.. (1985). Morphology and morphometry of the mitral valve in normal human heart.. PubMed. 36(6). 384–90. 3 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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