Ruchir Bhatt
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
Papers in
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 1
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- Medical Image Segmentation Techniques 2
- Co-authors
- Anthony J. McGoron (5 shared papers)Mohammed Goryawala (4 shared papers)Malek Adjouadi (4 shared papers)Seza Güleç (2 shared papers)Mercedes Cabrerizo (1 shared paper)Magno R. Guillen (2 shared papers)Armando Barreto (1 shared paper)
- Journals
- Medical Physics (1 paper)BioMed Research International (1 paper)IEEE Transactions on Information Technology in Biomedicine (1 paper)
- Partner nations
- United States
In The Last Decade
Ruchir Bhatt
5 papers receiving 59 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 34
- Radiology, Nuclear Medicine and Imaging 33
- Hepatology 9
- Radiation 9
- Neurology 7
Countries citing papers authored by Ruchir Bhatt
This map shows the geographic impact of Ruchir Bhatt'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 Ruchir Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruchir Bhatt more than expected).
Fields of papers citing papers by Ruchir Bhatt
This network shows the impact of papers produced by Ruchir Bhatt. 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 Ruchir Bhatt. The network helps show where Ruchir Bhatt may publish in the future.
Co-authors
The 7 scholars most cited alongside Ruchir Bhatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 26 | |
| 2 | 2014 | 23 | |
| 3 | 2012 | 9 | |
| 4 | 2013 | 3 | |
| 5 | 2010 | 2 |
About Ruchir Bhatt
Ruchir Bhatt is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation, Computer Networks and Communications and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 63 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Advanced Radiotherapy Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Distributed and Parallel Computing Systems (1 paper), Parallel Computing and Optimization Techniques (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (34 citations), Radiology, Nuclear Medicine and Imaging (33 citations), Hepatology (9 citations), Radiation (9 citations) and Neurology (7 citations). Ruchir Bhatt has collaborated with scholars based in United States. Frequent co-authors include Anthony J. McGoron, Mohammed Goryawala, Malek Adjouadi, Seza Güleç, Mercedes Cabrerizo, Magno R. Guillen and Armando Barreto. Their work appears in journals such as Medical Physics, BioMed Research International and IEEE Transactions on Information Technology in Biomedicine.
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.