Ramesh Paudyal
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Oncology
- Genetics
- Co-authors
- Amita Shukla‐DaveVaios HatzoglouJames R. EwingAmaresha Shridhar KonarHassan Bagher‐EbadianNancy Y. LeeJung Hun OhRichard Kinh Gian
- Topics
- MRI in cancer diagnosis (32 papers)Advanced MRI Techniques and Applications (20 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)
- Journals
- NeuroImageInternational Journal of Radiation Oncology*Biology*PhysicsMagnetic Resonance in Medicine
- Partner nations
- United StatesNetherlandsIran
In The Last Decade
Ramesh Paudyal
44 papers receiving 569 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 411
- Pulmonary and Respiratory Medicine 62
- Biomedical Engineering 61
- Oncology 52
- Genetics 51
Countries citing papers authored by Ramesh Paudyal
This map shows the geographic impact of Ramesh Paudyal'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 Ramesh Paudyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Paudyal more than expected).
Fields of papers citing papers by Ramesh Paudyal
This network shows the impact of papers produced by Ramesh Paudyal. 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 Ramesh Paudyal. The network helps show where Ramesh Paudyal may publish in the future.
Co-authorship network of co-authors of Ramesh Paudyal
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Paudyal. A scholar is included among the top collaborators of Ramesh Paudyal 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 Ramesh Paudyal. Ramesh Paudyal 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 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 57 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 12 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 13 | |
| 18 | 67 | |
| 19 | 7 | |
| 20 | 16 |
About Ramesh Paudyal
Ramesh Paudyal is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Orthopedics and Sports Medicine, having authored 48 papers that have together received 575 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (32 papers), Advanced MRI Techniques and Applications (20 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (411 citations), Health Informatics (21 citations) and Otorhinolaryngology (29 citations). Ramesh Paudyal has collaborated with scholars based in United States, Netherlands and Iran. Frequent co-authors include Amita Shukla‐Dave, Vaios Hatzoglou, James R. Ewing, Amaresha Shridhar Konar, Hassan Bagher‐Ebadian, Nancy Y. Lee, Jung Hun Oh, Richard Kinh Gian, Tavarekere N. Nagaraja and Akash Shah. Their work appears in journals such as NeuroImage, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in 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.