R. Lambo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Advanced Chemical Physics Studies 9
- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum, superfluid, helium dynamics 4
- Atomic and Molecular Physics 3
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Yaoqin Xie (8 shared papers)Wenjian Qin (8 shared papers)Weiren Luo (2 shared papers)Shui-Ming Hu (6 shared papers)C. L. Cesar (3 shared papers)Zhanyu Wang (1 shared paper)Jing Cai (1 shared paper)Alexei A. Buchachenko (4 shared papers)
In The Last Decade
R. Lambo
21 papers receiving 202 citations
Peers
Comparison fields: 5 of 44
- Radiology, Nuclear Medicine and Imaging 91
- Health Informatics 5
- Radiation 29
- Otorhinolaryngology 14
- Atomic and Molecular Physics, and Optics 62
Countries citing papers authored by R. Lambo
This map shows the geographic impact of R. Lambo'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 R. Lambo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Lambo more than expected).
Fields of papers citing papers by R. Lambo
This network shows the impact of papers produced by R. Lambo. 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 R. Lambo. The network helps show where R. Lambo may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Lambo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 29 | |
| 2 | 2022 | 28 | |
| 3 | 2023 | 28 | |
| 4 | 2021 | 16 | |
| 5 | 2015 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2013 | 12 | |
| 8 | 2007 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2012 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2011 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2009 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2013 | 2 |
About R. Lambo
R. Lambo is a scholar working on Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Spectroscopy and Condensed Matter Physics, having authored 21 papers that have together received 206 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (9 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Quantum, superfluid, helium dynamics (4 papers), Spectroscopy and Laser Applications (4 papers), Atomic and Molecular Physics (3 papers) and Rare-earth and actinide compounds (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (91 citations), Health Informatics (5 citations), Radiation (29 citations), Otorhinolaryngology (14 citations) and Atomic and Molecular Physics, and Optics (62 citations). R. Lambo has collaborated with scholars based in China, Russia and Japan. Frequent co-authors include Yaoqin Xie, Wenjian Qin, Weiren Luo, Shui-Ming Hu, C. L. Cesar, Zhanyu Wang, Jing Cai, Alexei A. Buchachenko, Hong Yu and Nazar Zaki. Their work appears in journals such as The Journal of Chemical Physics, IEEE Journal of Biomedical and Health Informatics, American Journal Of Pathology, Molecular Physics and Radiotherapy and Oncology.
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.