Bino Varghese
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging 46
- MRI in cancer diagnosis 11
- Medical Imaging Techniques and Applications 4
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- Renal cell carcinoma treatment 18
- Biomedical Engineering top 10%
- Advanced X-ray and CT Imaging 18
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- AI in cancer detection 10
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- Renal and related cancers 6
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- Medical Image Segmentation Techniques 4
- Co-authors
- Vinay DuddalwarSteven CenDarryl HwangBhushan DesaiInderbir S. GillManju AronXiaomeng LeiCameron Hassani
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- United StatesNorwayChina
In The Last Decade
Bino Varghese
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Health Informatics 73
- Radiology, Nuclear Medicine and Imaging 873
- Pulmonary and Respiratory Medicine 533
- Biomedical Engineering 345
- Oncology 126
Countries citing papers authored by Bino Varghese
This map shows the geographic impact of Bino Varghese'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 Bino Varghese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bino Varghese more than expected).
Fields of papers citing papers by Bino Varghese
This network shows the impact of papers produced by Bino Varghese. 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 Bino Varghese. The network helps show where Bino Varghese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bino Varghese, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 56 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 54 | |
| 15 | 2019 | 63 | |
| 16 | 2018 | 32 | |
| 17 | 2018 | 32 | |
| 18 | 2014 | 19 | |
| 19 | 2011 | 5 | |
| 20 | 2011 | 62 |
About Bino Varghese
Bino Varghese is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (46 papers), Renal cell carcinoma treatment (18 papers), Advanced X-ray and CT Imaging (18 papers), MRI in cancer diagnosis (11 papers), AI in cancer detection (10 papers), Renal and related cancers (6 papers), Medical Imaging Techniques and Applications (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Health Informatics (73 citations), Radiology, Nuclear Medicine and Imaging (873 citations) and Pulmonary and Respiratory Medicine (533 citations). Bino Varghese has collaborated with scholars based in United States, Norway and China. Frequent co-authors include Vinay Duddalwar, Steven Cen, Darryl Hwang, Bhushan Desai, Inderbir S. Gill, Manju Aron, Xiaomeng Lei, Cameron Hassani, Assad A. Oberai and Mihir Desai. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.