Kiran Vishnu Narayan
- Radiology, Nuclear Medicine and Imaging
- Critical Care and Intensive Care Medicine
- Pulmonary and Respiratory Medicine
- Small Animals
- Computer Vision and Pattern Recognition
- Co-authors
- Chandrasekharan KesavadasMahesh Raveendranatha PanickerYale Tung‐ChenJacob L. JaremkoAbhilash Rakkunedeth HareendranathanA A RajA. P. Vinod
- Topics
- Ultrasound in Clinical Applications (4 papers)COVID-19 diagnosis using AI (4 papers)Lung Cancer Diagnosis and Treatment (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Annals of Thoracic SurgeryComputers in Biology and Medicine
In The Last Decade
Kiran Vishnu Narayan
6 papers receiving 18 citations
Peers
Comparison fields: 5 of 21
- Radiology, Nuclear Medicine and Imaging 9
- Critical Care and Intensive Care Medicine 8
- Pulmonary and Respiratory Medicine 7
- Small Animals 3
- Computer Vision and Pattern Recognition 3
Countries citing papers authored by Kiran Vishnu Narayan
This map shows the geographic impact of Kiran Vishnu Narayan'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 Kiran Vishnu Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Vishnu Narayan more than expected).
Fields of papers citing papers by Kiran Vishnu Narayan
This network shows the impact of papers produced by Kiran Vishnu Narayan. 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 Kiran Vishnu Narayan. The network helps show where Kiran Vishnu Narayan may publish in the future.
Co-authorship network of co-authors of Kiran Vishnu Narayan
This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Vishnu Narayan. A scholar is included among the top collaborators of Kiran Vishnu Narayan 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 Kiran Vishnu Narayan. Kiran Vishnu Narayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | Role of Pirfenidone in Idiopathic Pulmonary Fibrosis - A Longitudinal Cohort Study. | 1 |
About Kiran Vishnu Narayan
Kiran Vishnu Narayan is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Small Animals, having authored 8 papers that have together received 19 indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (4 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (8 citations), Health Informatics (1 citation) and Small Animals (3 citations). Kiran Vishnu Narayan has collaborated with scholars based in India, Spain and Canada. Frequent co-authors include Chandrasekharan Kesavadas, Mahesh Raveendranatha Panicker, Yale Tung‐Chen, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan, A A Raj and A. P. Vinod. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Thoracic Surgery and Computers in Biology and 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.