K. Jayanthi
Impact in
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- Cardiovascular Health and Disease Prevention
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- Medical Image Segmentation Techniques
Papers in
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- Cardiovascular Health and Disease Prevention 11
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- Medical Image Segmentation Techniques 9
- Co-authors
- Nirmala Madian (8 shared papers)I Sathyamurthy (11 shared papers)S. Sudha (2 shared papers)S. Sudha (1 shared paper)Reshma Banu (4 shared papers)Y. Nemoto (3 shared papers)C Ratnakar (1 shared paper)Kiminori Ohta (1 shared paper)
- Journals
- Measurement (2 papers)Indian Journal of Science and Technology (2 papers)Journal of Medical Systems (1 paper)Digital Signal Processing (1 paper)International Journal of Gynecology & Obstetrics (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
K. Jayanthi
60 papers receiving 263 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 69
- Computer Vision and Pattern Recognition 54
- Genetics 54
- Obstetrics and Gynecology 13
- Health Information Management 8
Countries citing papers authored by K. Jayanthi
This map shows the geographic impact of K. Jayanthi'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 K. Jayanthi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Jayanthi more than expected).
Fields of papers citing papers by K. Jayanthi
This network shows the impact of papers produced by K. Jayanthi. 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 K. Jayanthi. The network helps show where K. Jayanthi may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Jayanthi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 26 | |
| 2 | 2012 | 21 | |
| 3 | 2002 | 20 | |
| 4 | 2013 | 20 | |
| 5 | 2019 | 20 | |
| 6 | 1978 | 15 | |
| 7 | 2018 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 7 | |
| 12 | Dual antiplatelet therapy in acute coronary syndromes and coronary artery interventions. | 2014 | 7 |
| 13 | 2015 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2015 | 4 |
About K. Jayanthi
K. Jayanthi is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 75 papers that have together received 293 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (11 papers), Medical Image Segmentation Techniques (9 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Genomic variations and chromosomal abnormalities (6 papers), Antenna Design and Analysis (5 papers), Advanced MIMO Systems Optimization (5 papers), Remote-Sensing Image Classification (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (69 citations), Computer Vision and Pattern Recognition (54 citations), Genetics (54 citations), Obstetrics and Gynecology (13 citations) and Health Information Management (8 citations). K. Jayanthi has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Nirmala Madian, I Sathyamurthy, S. Sudha, S. Sudha, Reshma Banu, Y. Nemoto, C Ratnakar, Kiminori Ohta, A J Veliath and V. Nagarajan. Their work appears in journals such as Measurement, Indian Journal of Science and Technology, Journal of Medical Systems, Digital Signal Processing and International Journal of Gynecology & Obstetrics.
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.