V. Nivitha Varghees

447 total citations
10 papers, 347 citations indexed

About

V. Nivitha Varghees is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, V. Nivitha Varghees has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Cardiology and Cardiovascular Medicine and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in V. Nivitha Varghees's work include Phonocardiography and Auscultation Techniques (8 papers), ECG Monitoring and Analysis (5 papers) and Image and Signal Denoising Methods (2 papers). V. Nivitha Varghees is often cited by papers focused on Phonocardiography and Auscultation Techniques (8 papers), ECG Monitoring and Analysis (5 papers) and Image and Signal Denoising Methods (2 papers). V. Nivitha Varghees collaborates with scholars based in India and France. V. Nivitha Varghees's co-authors include K.I. Ramachandran, M. Sabarimalai Manikandan, K. P. Soman and Laurent Peyrodie and has published in prestigious journals such as IEEE Sensors Journal, Biomedical Signal Processing and Control and Healthcare Technology Letters.

In The Last Decade

V. Nivitha Varghees

10 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Nivitha Varghees India 8 269 146 68 40 38 10 347
S.M. Debbal Algeria 12 451 1.7× 221 1.5× 114 1.7× 68 1.7× 37 1.0× 46 546
Haibin Wang China 9 203 0.8× 75 0.5× 74 1.1× 46 1.1× 14 0.4× 20 288
S. Lukkarinen Finland 9 517 1.9× 234 1.6× 155 2.3× 56 1.4× 15 0.4× 14 582
H. Naseri Iran 9 133 0.5× 132 0.9× 46 0.7× 60 1.5× 16 0.4× 14 289
R. Periyasamy India 10 92 0.3× 37 0.3× 40 0.6× 59 1.5× 132 3.5× 26 330
Houman Ghaemmaghami Australia 10 101 0.4× 33 0.2× 168 2.5× 10 0.3× 13 0.3× 21 314
Wissam Jenkal Morocco 8 43 0.2× 241 1.7× 63 0.9× 132 3.3× 70 1.8× 20 317
Mikhled Alfaouri Jordan 4 46 0.2× 226 1.5× 79 1.2× 108 2.7× 96 2.5× 6 311
Hamed Danandeh Hesar Iran 9 57 0.2× 219 1.5× 37 0.5× 123 3.1× 32 0.8× 20 280
Yaseen Yaseen South Korea 4 242 0.9× 106 0.7× 76 1.1× 14 0.3× 16 0.4× 13 293

Countries citing papers authored by V. Nivitha Varghees

Since Specialization
Citations

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

Fields of papers citing papers by V. Nivitha Varghees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Nivitha Varghees. 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 V. Nivitha Varghees. The network helps show where V. Nivitha Varghees may publish in the future.

Co-authorship network of co-authors of V. Nivitha Varghees

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

All Works

10 of 10 papers shown
1.
Varghees, V. Nivitha, et al.. (2023). Variational Mode Decomposition-Based Simultaneous R Peak Detection and Noise Suppression for Automatic ECG Analysis. IEEE Sensors Journal. 23(8). 8703–8713. 14 indexed citations
2.
Varghees, V. Nivitha, K.I. Ramachandran, & K. P. Soman. (2017). Wavelet‐based fundamental heart sound recognition method using morphological and interval features. Healthcare Technology Letters. 5(3). 81–87. 21 indexed citations
3.
Varghees, V. Nivitha & K.I. Ramachandran. (2017). Effective Heart Sound Segmentation and Murmur Classification Using Empirical Wavelet Transform and Instantaneous Phase for Electronic Stethoscope. IEEE Sensors Journal. 17(12). 3861–3872. 132 indexed citations
4.
Varghees, V. Nivitha & K.I. Ramachandran. (2016). Two-channel heart sound segmentation framework using phonocardiogram and pulsatile signals. 30. 305–310. 8 indexed citations
5.
Varghees, V. Nivitha & K.I. Ramachandran. (2015). Heart murmur detection and classification using wavelet transform and Hilbert phase envelope. 1–6. 12 indexed citations
6.
Varghees, V. Nivitha & K.I. Ramachandran. (2015). Multistage decision‐based heart sound delineation method for automated analysis of heart sounds and murmurs. Healthcare Technology Letters. 2(6). 156–163. 7 indexed citations
7.
Varghees, V. Nivitha & K.I. Ramachandran. (2014). A novel heart sound activity detection framework for automated heart sound analysis. Biomedical Signal Processing and Control. 13. 174–188. 121 indexed citations
8.
Varghees, V. Nivitha & K.I. Ramachandran. (2014). Automated PCG signal delineation method for heart sound analysis. 4. 1–6. 1 indexed citations
9.
Varghees, V. Nivitha, et al.. (2012). Adaptive MRI image denoising using total-variation and local noise estimation. IEEE-International Conference On Advances In Engineering, Science And Management. 506–511. 30 indexed citations
10.
Varghees, V. Nivitha, et al.. (2012). A New Framework to Automatically Select Noise Model for Rician Noise Estimation in MR Images. 82–85. 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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