Rayan Krishnan
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Informatics top 2%
- Biomedical Engineering
- Co-authors
- Pranav RajpurkarEric J. TopolAndrew Y. NgAndy TsaiFeiyang YuEduardo Kaiser Ururahy Nunes FonsecaEduardo Pontes ReisVasantha Kumar Venugopal
- Topics
- COVID-19 diagnosis using AI (2 papers)AI in cancer detection (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Rayan Krishnan
3 papers receiving 378 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 157
- Radiology, Nuclear Medicine and Imaging 123
- Computer Vision and Pattern Recognition 64
- Health Informatics 64
- Biomedical Engineering 43
Countries citing papers authored by Rayan Krishnan
This map shows the geographic impact of Rayan Krishnan'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 Rayan Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rayan Krishnan more than expected).
Fields of papers citing papers by Rayan Krishnan
This network shows the impact of papers produced by Rayan Krishnan. 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 Rayan Krishnan. The network helps show where Rayan Krishnan may publish in the future.
Co-authorship network of co-authors of Rayan Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Rayan Krishnan. A scholar is included among the top collaborators of Rayan Krishnan 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 Rayan Krishnan. Rayan Krishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | Self-supervised learning in medicine and healthcarebreakdown → | 326 |
| 3 | CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness | 2 |
About Rayan Krishnan
Rayan Krishnan is a scholar working on Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 3 papers that have together received 385 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (64 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Health Information Management (23 citations). Rayan Krishnan has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Pranav Rajpurkar, Eric J. Topol, Andrew Y. Ng, Andy Tsai, Feiyang Yu, Eduardo Kaiser Ururahy Nunes Fonseca, Eduardo Pontes Reis, Vasantha Kumar Venugopal, Curtis P. Langlotz and Zahra Shakeri Hossein Abad. Their work appears in journals such as Nature Biomedical Engineering and Patterns.
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.