Krishnananda Nayak
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ranjan ShettyJyothi SamanthU. RaghavendraAnjan GudigarU. Rajendra AcharyaPadmakumar RamachandranPratap KumarHamido Fujita
- Topics
- Cardiovascular Function and Risk Factors (13 papers)Congenital Heart Disease Studies (12 papers)Cardiac Valve Diseases and Treatments (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaPattern Recognition LettersInternational Journal of Sports Medicine
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Krishnananda Nayak
40 papers receiving 330 citations
Peers
Comparison fields: 5 of 65
- Cardiology and Cardiovascular Medicine 165
- Surgery 116
- Pulmonary and Respiratory Medicine 87
- Epidemiology 72
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by Krishnananda Nayak
This map shows the geographic impact of Krishnananda Nayak'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 Krishnananda Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnananda Nayak more than expected).
Fields of papers citing papers by Krishnananda Nayak
This network shows the impact of papers produced by Krishnananda Nayak. 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 Krishnananda Nayak. The network helps show where Krishnananda Nayak may publish in the future.
Co-authorship network of co-authors of Krishnananda Nayak
This figure shows the co-authorship network connecting the top 25 collaborators of Krishnananda Nayak. A scholar is included among the top collaborators of Krishnananda Nayak 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 Krishnananda Nayak. Krishnananda Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 29 | |
| 17 | 1 | |
| 18 | 25 | |
| 19 | 4 | |
| 20 | 1 |
About Krishnananda Nayak
Krishnananda Nayak is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Internal Medicine, having authored 48 papers that have together received 340 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (13 papers), Congenital Heart Disease Studies (12 papers) and Cardiac Valve Diseases and Treatments (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (165 citations), Health Informatics (5 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Krishnananda Nayak has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Ranjan Shetty, Jyothi Samanth, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Padmakumar Ramachandran, Pratap Kumar, Hamido Fujita, Arun G. Maiya and Edward J. Ciaccio. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and International Journal of Sports Medicine.
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.