G Sharp

9.5k citations
206 papers · 6.7k · 2 hit papers · h-index 47

Impact in

Papers in

G Sharp

199 papers receiving 6.5k citations

G Sharp's Hit Papers

Vision 20/20: Perspectives on automated image segmentation for radiotherapy 2014 · 296 citations
2960+8+16Years since publication100200300400

Peers

G Sharp
Comparison fields: 5 of 136
  • Radiation 3.7k
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Pulmonary and Respiratory Medicine 2.5k
  • Computer Vision and Pattern Recognition 951
  • Geology 250
Replace Yang Lei with:
Yang Lei United States
Tonghe Wang United States
Kensaku Mori Japan
Hans-Peter Meinzer Germany
Zhengrong Liang United States
Heinz Handels Germany
Pretesh Patel United States
Theo van Walsum Netherlands
Kristy K. Brock United States
Jürgen Hesser Germany
G Sharp relative to Yang Lei United States Yang Lei's profile →
Citations per field
00.5×50×109.7×
Yang Lei · 1×
Citations per year

Countries citing papers authored by G Sharp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside G Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G Sharp Line = papers co-authored together G Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ICP registration using invariant features
Hit paper breakdown →
2002479
2 2004297
3
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
Hit paper breakdown →
2014296
4 2005196
5 2018187
6 2013179
7 2014173
8 2006162
9 2007158
10 2004129
11 2013124
12 2010122
13 2008119
14 2008118
15 2005115
16 2015109
17 2006107
18 2004105
19 2016104
20 2014102

About G Sharp

G Sharp is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 206 papers that have together received 6.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (108 papers), Radiation Therapy and Dosimetry (69 papers), Medical Imaging Techniques and Applications (60 papers), Medical Image Segmentation Techniques (30 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (17 papers), Radiation Detection and Scintillator Technologies (13 papers) and Medical Imaging and Analysis (11 papers). The work is most often cited by research in Radiation (3.7k citations), Radiology, Nuclear Medicine and Imaging (2.5k citations), Pulmonary and Respiratory Medicine (2.5k citations), Computer Vision and Pattern Recognition (951 citations) and Geology (250 citations). G Sharp has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Steve Jiang, D.K. Wehe, S.W. Lee, Harald Paganetti, Hiroki Shirato, Brian Winey, George T.Y. Chen, Clemens Grassberger, Karl Fritscher and David P. Gierga. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology and Technology in Cancer Research & Treatment.

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.

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