S. Satheeskumaran

568 total citations
16 papers, 381 citations indexed

About

S. Satheeskumaran is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Satheeskumaran has authored 16 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Satheeskumaran's work include ECG Monitoring and Analysis (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and EEG and Brain-Computer Interfaces (4 papers). S. Satheeskumaran is often cited by papers focused on ECG Monitoring and Analysis (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and EEG and Brain-Computer Interfaces (4 papers). S. Satheeskumaran collaborates with scholars based in India and South Korea. S. Satheeskumaran's co-authors include C. Venkatesan, P. Karthigaikumar, R. Kumar, Anand Paul, Saira Nawaz, L Niranjan and S. Saravanan and has published in prestigious journals such as IEEE Access, Biomedical Signal Processing and Control and Multimedia Tools and Applications.

In The Last Decade

S. Satheeskumaran

15 papers receiving 357 citations

Peers

Countries citing papers authored by S. Satheeskumaran

Since Specialization

Citations

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

Fields of papers citing papers by S. Satheeskumaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Satheeskumaran

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	An Effective Multi-Patch Deep Learning Method for Mitosis Detection in Breast Histopathology 2025 ·(unknown), S. Satheeskumaran	0
2	Automatic Mitosis and Nuclear Atypia Detection for Breast Cancer Grading in Histopathological Images using Hybrid Machine Learning Technique 2024 ·Multimedia Tools and Applications ·(unknown), S. Satheeskumaran	2
3	An efficient multi-disease prediction model using advanced optimization aided weighted convolutional neural network with dilated gated recurrent unit 2024 ·Intelligent Decision Technologies ·(unknown), S. Satheeskumaran	2
4	IoT based ECG Signal Feature Extraction and Analysis for Heart Disease Risk Assessment 2023 ·S. Satheeskumaran, (unknown), (unknown), (unknown), (unknown)	5
5	QRCP Decomposition-Based Hybrid Approach for Fusion of Visible and Infrared Images 2021 ·Circuits Systems and Signal Processing ·(unknown), S. Satheeskumaran	1
6	Design and implementation of chicken egg incubator for hatching using IoT 2021 ·International Journal of Computational Science and Engineering ·L Niranjan, C. Venkatesan, (unknown), S. Satheeskumaran, Saira Nawaz	34
7	Singular value decomposition and saliency - map based image fusion for visible and infrared images 2021 ·International Journal of Image and Data Fusion ·(unknown), S. Satheeskumaran	6
8	Discrete stationary wavelet transform and SVD-based digital image watermarking for improved security 2021 ·International Journal of Computational Science and Engineering ·(unknown), S. Satheeskumaran, C. Venkatesan, S. Saravanan	10
9	Design and implementation of chicken egg incubator for hatching using IoT 2021 ·International Journal of Computational Science and Engineering ·Saira Nawaz, S. Satheeskumaran, C. Venkatesan, (unknown), L Niranjan	5
10	Real-time ECG signal pre-processing and neuro fuzzy-based CHD risk prediction 2021 ·International Journal of Computational Science and Engineering ·C. Venkatesan, (unknown), S. Satheeskumaran	1
11	Real-time ECG signal pre-processing and neuro fuzzy-based CHD risk prediction 2021 ·International Journal of Computational Science and Engineering ·S. Satheeskumaran, C. Venkatesan, S. Saravanan	12
12	ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications 2018 ·IEEE Access ·C. Venkatesan, P. Karthigaikumar, Anand Paul, S. Satheeskumaran, R. Kumar	189
13	Mobile cloud computing for ECG telemonitoring and real-time coronary heart disease risk detection 2018 ·Biomedical Signal Processing and Control ·C. Venkatesan, P. Karthigaikumar, S. Satheeskumaran	48
14	Contourlet transform based adaptive nonlinear diffusion filtering for speckle noise removal in ultrasound images 2017 ·Cluster Computing ·(unknown), S. Satheeskumaran, C. Venkatesan	23
15	VLSI implementation of a new LMS-based algorithm for noise removal in ECG signal 2015 ·International Journal of Electronics ·S. Satheeskumaran, (unknown)	16
16	A New LMS Based Noise Removal and DWT Based R-peak Detection in ECG Signal for Biotelemetry Applications 2014 ·National Academy Science Letters ·S. Satheeskumaran, (unknown)	27

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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