G Sharp
- Radiation top 0.02%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Biomedical Engineering top 2%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Steve JiangD.K. WeheS.W. LeeHarald PaganettiHiroki ShiratoBrian WineyClemens GrassbergerGeorge T.Y. Chen
- Topics
- Advanced Radiotherapy Techniques (131 papers)Radiation Therapy and Dosimetry (80 papers)Medical Imaging Techniques and Applications (77 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Radiation Oncology*Biology*PhysicsIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
G Sharp
187 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Radiation 4.4k
- Radiology, Nuclear Medicine and Imaging 3.7k
- Pulmonary and Respiratory Medicine 3.2k
- Biomedical Engineering 1.3k
- Computer Vision and Pattern Recognition 932
Countries citing papers authored by G Sharp
This map shows the geographic impact of G Sharp'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 G Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Sharp more than expected).
Fields of papers citing papers by G Sharp
This network shows the impact of papers produced by G Sharp. 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 G Sharp. The network helps show where G Sharp may publish in the future.
Co-authorship network of co-authors of G Sharp
This figure shows the co-authorship network connecting the top 25 collaborators of G Sharp. A scholar is included among the top collaborators of G Sharp 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 G Sharp. G Sharp 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 45 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 164 | |
| 16 | 13 | |
| 17 | 22 | |
| 18 | 59 | |
| 19 | Linking Health Education and Health Care Service Information via the WWW: The HealthAware Project | 1 |
| 20 | An Expert Consultant System in Rheumatology: AI/RHEUM. | 3 |
About G Sharp
G Sharp is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 193 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (131 papers), Radiation Therapy and Dosimetry (80 papers) and Medical Imaging Techniques and Applications (77 papers). The work is most often cited by research in Radiation (4.4k citations), Radiology, Nuclear Medicine and Imaging (3.7k citations) and Pulmonary and Respiratory Medicine (3.2k citations). G Sharp has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Steve Jiang, D.K. Wehe, S.W. Lee, Harald Paganetti, Hiroki Shirato, Brian Winey, Clemens Grassberger, George T.Y. Chen, David P. Gierga and S Dowdell. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Biomedical Engineering.
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.