L. N. Sharma

1.3k total citations
64 papers, 1.0k citations indexed

About

L. N. Sharma is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, L. N. Sharma has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 38 papers in Biomedical Engineering and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in L. N. Sharma's work include ECG Monitoring and Analysis (41 papers), Non-Invasive Vital Sign Monitoring (30 papers) and Phonocardiography and Auscultation Techniques (16 papers). L. N. Sharma is often cited by papers focused on ECG Monitoring and Analysis (41 papers), Non-Invasive Vital Sign Monitoring (30 papers) and Phonocardiography and Auscultation Techniques (16 papers). L. N. Sharma collaborates with scholars based in India and United States. L. N. Sharma's co-authors include Samarendra Dandapat, Rajesh Kumar Tripathy, M. K. Bhuyan, Mousumi Das, Anurag Singh, Ravindra Kumar Garg, Rajesh Verma, Hardeep Singh Malhotra, S. R. Mahadeva Prasanna and Kangkana Bora and has published in prestigious journals such as Biological Psychiatry, The British Journal of Psychiatry and IEEE Transactions on Biomedical Engineering.

In The Last Decade

L. N. Sharma

58 papers receiving 1.0k citations

Peers

L. N. Sharma
Delaram Jarchi United Kingdom
V.X. Afonso United States
Lina Zhao China
L. N. Sharma
Citations per year, relative to L. N. Sharma L. N. Sharma (= 1×) peers Rama Komaragiri

Countries citing papers authored by L. N. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by L. N. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. N. Sharma. 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 L. N. Sharma. The network helps show where L. N. Sharma may publish in the future.

Co-authorship network of co-authors of L. N. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of L. N. Sharma. A scholar is included among the top collaborators of L. N. Sharma 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 L. N. Sharma. L. N. Sharma 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.
Mishra, A. P., et al.. (2025). Fabrication, Characterization, and Clinical Assessment of Ultrathin Skin-Conformable Tattoo Electrodes for ECG Monitoring. ACS Applied Electronic Materials. 7(4). 1611–1621. 4 indexed citations
2.
Sharma, L. N., et al.. (2025). HVDNet: An Interpretable Deep Learning Framework for Heart Valve Disease Classification Using Tri-Axial Seismocardiogram Signals. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
4.
Das, Mousumi, et al.. (2024). Analyzing SCG methodology for identification of ventricular depolarization events. Biomedical Signal Processing and Control. 100. 106940–106940. 2 indexed citations
5.
Sharma, L. N., et al.. (2024). Cuff-Less Blood Pressure Measurement from Wearable Optical Biosignal. 1–6. 1 indexed citations
7.
Sharma, L. N., et al.. (2020). Identification of Human Breathing-States Using Cardiac-Vibrational Signal for m-Health Applications. IEEE Sensors Journal. 21(3). 3463–3470. 13 indexed citations
8.
Sharma, L. N., et al.. (2019). Enhancement of the heart sound envelope using the logistic function amplitude moderation method. Computer Methods and Programs in Biomedicine. 187. 105239–105239. 3 indexed citations
9.
Bhuyan, M. K., et al.. (2019). Orthogonal subspace projection based framework to extract heart cycles from SCG signal. Biomedical Signal Processing and Control. 50. 45–51. 12 indexed citations
10.
Sharma, L. N., et al.. (2018). Standalone Heartbeat Extraction in SCG Signal Using Variational Mode Decomposition. 1–4. 11 indexed citations
11.
Singh, Anurag, L. N. Sharma, & Samarendra Dandapat. (2016). Multi-channel ECG data compression using compressed sensing in eigenspace. Computers in Biology and Medicine. 73. 24–37. 20 indexed citations
12.
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
13.
Tripathy, Rajesh Kumar, L. N. Sharma, & Samarendra Dandapat. (2016). Diagnostic measure to quantify loss of clinical components in multi‐lead electrocardiogram. Healthcare Technology Letters. 3(1). 61–66. 1 indexed citations
14.
Sharma, L. N.. (2016). Information theoretic multiscale truncated SVD for multilead electrocardiogram. Computer Methods and Programs in Biomedicine. 129. 109–116. 4 indexed citations
18.
Sharma, L. N., et al.. (2012). Multichannel ECG Data Compression Based on Multiscale Principal Component Analysis. IEEE Transactions on Information Technology in Biomedicine. 16(4). 730–736. 81 indexed citations
20.
Sharma, L. N., et al.. (1992). Tardive Dyskinesia and Type II Schizophrenia. The British Journal of Psychiatry. 160(2). 253–256. 22 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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