N. S. Lingayat
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Signal Processing top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- S. S. MehtaV. S. Chouhan
- Topics
- ECG Monitoring and Analysis (21 papers)EEG and Brain-Computer Interfaces (17 papers)Non-Invasive Vital Sign Monitoring (10 papers)
- Journals
- Expert Systems with ApplicationsSignal ProcessingComputer Methods and Programs in Biomedicine
- Partner nations
- India
In The Last Decade
N. S. Lingayat
22 papers receiving 435 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 397
- Cognitive Neuroscience 277
- Biomedical Engineering 248
- Signal Processing 55
- Pulmonary and Respiratory Medicine 45
Countries citing papers authored by N. S. Lingayat
This map shows the geographic impact of N. S. Lingayat'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 N. S. Lingayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. S. Lingayat more than expected).
Fields of papers citing papers by N. S. Lingayat
This network shows the impact of papers produced by N. S. Lingayat. 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 N. S. Lingayat. The network helps show where N. S. Lingayat may publish in the future.
Co-authorship network of co-authors of N. S. Lingayat
This figure shows the co-authorship network connecting the top 25 collaborators of N. S. Lingayat. A scholar is included among the top collaborators of N. S. Lingayat 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 N. S. Lingayat. N. S. Lingayat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | Probabilistic Neural Network for the Automatic Detection of QRS-complexes in ECG using Slope | 2 |
| 3 | IDENTIFICATION AND DELINEATION OF QRS COMPLEXES IN ELECTROCARDIOGRAM USING FUZZY C-MEANS ALGORITHM | 6 |
| 4 | 26 | |
| 5 | 1 | |
| 6 | Detection of P and T-waves in Electrocardiogram | 20 |
| 7 | 36 | |
| 8 | 12 | |
| 9 | 35 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | Delineation of QRS-complex, P and T-wave in 12-lead ECG | 16 |
| 13 | Comparative Study of QRS Detection in Single Lead and 12-Lead Electrocardiogram using Support Vector Machine. | 3 |
| 14 | Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram | 32 |
| 15 | 40 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 30 | |
| 19 | 33 | |
| 20 | 8 |
About N. S. Lingayat
N. S. Lingayat is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing, having authored 24 papers that have together received 493 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (21 papers), EEG and Brain-Computer Interfaces (17 papers) and Non-Invasive Vital Sign Monitoring (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (397 citations), Cognitive Neuroscience (277 citations) and Biomedical Engineering (248 citations). N. S. Lingayat has collaborated with scholars based in India. Frequent co-authors include S. S. Mehta and V. S. Chouhan. Their work appears in journals such as Expert Systems with Applications, Signal Processing and Computer Methods and Programs in Biomedicine.
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.