Rajesh Kumar Tripathy

3.9k total citations
106 papers, 2.8k citations indexed

About

Rajesh Kumar Tripathy is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Rajesh Kumar Tripathy has authored 106 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 39 papers in Cognitive Neuroscience and 28 papers in Biomedical Engineering. Recurrent topics in Rajesh Kumar Tripathy's work include ECG Monitoring and Analysis (39 papers), EEG and Brain-Computer Interfaces (38 papers) and Non-Invasive Vital Sign Monitoring (22 papers). Rajesh Kumar Tripathy is often cited by papers focused on ECG Monitoring and Analysis (39 papers), EEG and Brain-Computer Interfaces (38 papers) and Non-Invasive Vital Sign Monitoring (22 papers). Rajesh Kumar Tripathy collaborates with scholars based in India, Singapore and Mexico. Rajesh Kumar Tripathy's co-authors include Ram Bilas Pachori, U. Rajendra Acharya, Samarendra Dandapat, Samit Kumar Ghosh, L. N. Sharma, Abhijit Bhattacharyya, R. N. Ponnalagu, Mario R. Arrieta Paternina, Alejandro Zamora‐Mendez and Ganesh R. Naik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Rajesh Kumar Tripathy

103 papers receiving 2.8k citations

Peers

Rajesh Kumar Tripathy

CCM

PRM

Jean-Marc Vésin Switzerland

Samarendra Dandapat India

Manish Sharma India

Türker Tuncer Türkiye

Manuel Blanco–Velasco Spain

Mohammad Bagher Shamsollahi Iran

Aydın Akan Türkiye

H. Nazeran United States

Roshan Joy Martis India

Daniel Álvarez Spain

Jean-Marc Vésin Switzerland

Rajesh Kumar Tripathy

1.3k ×1.0

1.2k ×1.0

CCM

627 ×1.0

465 ×0.9

165 ×0.3

PRM

Citations per year, relative to Rajesh Kumar Tripathy Rajesh Kumar Tripathy (= 1×) peers Jean-Marc Vésin

Countries citing papers authored by Rajesh Kumar Tripathy

Since Specialization

Citations

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

Fields of papers citing papers by Rajesh Kumar Tripathy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Kumar Tripathy

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Kumar Tripathy. A scholar is included among the top collaborators of Rajesh Kumar Tripathy 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 Rajesh Kumar Tripathy. Rajesh Kumar Tripathy 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

Tripathy, Rajesh Kumar, et al.. (2025). SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection. IEEE Access. 13. 34844–34853.

Tripathy, Rajesh Kumar, et al.. (2024). Time–frequency domain machine learning for detection of epilepsy using wearable EEG sensor signals recorded during physical activities. Biomedical Signal Processing and Control. 100. 107041–107041. 6 indexed citations

Tripathy, Rajesh Kumar, et al.. (2024). Detection of Atrial Fibrillation From PPG Sensor Data Using Variational Mode Decomposition. IEEE Sensors Letters. 8(3). 1–4. 11 indexed citations

Mohapatra, A., et al.. (2024). Automated Recognition of Hand Gestures From Multichannel EMG Sensor Data Using Time–Frequency Domain Deep Learning for IoT Applications. IEEE Sensors Letters. 8(6). 1–4. 8 indexed citations

Tripathy, Rajesh Kumar, et al.. (2023). Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG. Biomedical Signal Processing and Control. 83. 104701–104701. 10 indexed citations

Tripathy, Rajesh Kumar, et al.. (2023). Detection of Sleep Apnea From ECG Signals Using Sliding Singular Spectrum Based Subpattern Principal Component Analysis. IEEE Transactions on Artificial Intelligence. 5(6). 2897–2906. 4 indexed citations

Yeduri, Sreenivasa Reddy, et al.. (2023). Time frequency domain deep CNN for automatic background classification in speech signals. International Journal of Speech Technology. 26(3). 695–706. 1 indexed citations

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

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

10.

Gupta, Shaurya, et al.. (2022). Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network. Applied Soft Computing. 119. 108610–108610. 30 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.

Chen, Wei, et al.. (2020). Wavelet Domain Optimized Savitzky–Golay Filter for the Removal of Motion Artifacts From EEG Recordings. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 48 indexed citations

13.

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

14.

Tripathy, Rajesh Kumar, et al.. (2020). Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis. Computers in Biology and Medicine. 120. 103769–103769. 29 indexed citations

15.

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

16.

Tripathy, Rajesh Kumar, et al.. (2019). Automated detection of congestive heart failure from electrocardiogram signal using Stockwell transform and hybrid classification scheme. Computer Methods and Programs in Biomedicine. 173. 53–65. 57 indexed citations

17.

Paternina, Mario R. Arrieta, Rajesh Kumar Tripathy, Alejandro Zamora‐Mendez, & Daniel Dotta. (2018). Identification of electromechanical oscillatory modes based on variational mode decomposition. Electric Power Systems Research. 167. 71–85. 62 indexed citations

18.

Tripathy, Rajesh Kumar, L. N. Sharma, & Samarendra Dandapat. (2016). Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition. Journal of Medical Systems. 40(4). 79–79. 98 indexed citations

19.

Tripathy, Rajesh Kumar, et al.. (2012). Combined natural convection and mass transfer effects on unsteady flow past an infinite vertical porous plate embedded in a porous medium with heat source. 3(4). 591–604. 1 indexed citations

20.

Behera, Ajit, et al.. (2012). LEAST SQUARE SUPPORT VECTOR MACHINE ALTERNATIVE TO ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF SURFACE ROUGHNESS AND POROSITY OF PLASMA SPRAYED COPPER SUBSTRATES. 4(12). 1 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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