Eli Gibson

161 papers receiving 4.2k citations

Eli Gibson's Hit Papers

NiftyNet: a deep-learning platform for medical imaging 2018 · 433 citations
4330+2+5Years since publication100200300400500

Peers

Eli Gibson
Comparison fields: 5 of 140
  • Health Informatics 85
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Archeology 49
  • Computer Vision and Pattern Recognition 826
  • Condensed Matter Physics 394
Replace Yunzhi Wang with:
Yunzhi Wang United States
Felix Hofmann United Kingdom
Yu Zhou China
Wei Ping Zhao United States
Zhongping Chen United States
Sylvain M. Martel Canada
Richard E Johnston United States
Masahiro Oda Japan
Minhua Lu China
Nobuhiko Hata United States
Eli Gibson relative to Yunzhi Wang United States Yunzhi Wang's profile →
Citations per field
00.5×2×3×4.3×
Yunzhi Wang · 1×
Citations per year

Countries citing papers authored by Eli Gibson

Since Specialization
Citations

This map shows the geographic impact of Eli Gibson'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 Eli Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Gibson more than expected).

Fields of papers citing papers by Eli Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli Gibson. 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 Eli Gibson. The network helps show where Eli Gibson may publish in the future.

Co-authors

The 25 scholars most cited alongside Eli Gibson, 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 Eli Gibson Line = papers co-authored together Eli Gibson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks
Hit paper breakdown →
2018538
2
NiftyNet: a deep-learning platform for medical imaging
Hit paper breakdown →
2018433
3 2018327
4 1967163
5 1989144
6 1998113
7 1987101
8 198998
9 198988
10 199081
11 201264
12 198659
13 201757
14 201257
15 201957
16 197856
17 198753
18 201149
19 199348
20 199048

About Eli Gibson

Eli Gibson is a scholar working on Condensed Matter Physics, Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 173 papers that have together received 4.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (31 papers), Superconducting Materials and Applications (28 papers), Physics of Superconductivity and Magnetism (24 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced Neural Network Applications (15 papers), Particle accelerators and beam dynamics (14 papers), AI in cancer detection (14 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Health Informatics (85 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Archeology (49 citations), Computer Vision and Pattern Recognition (826 citations) and Condensed Matter Physics (394 citations). Eli Gibson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include J. D. Verhoeven, Dean C. Barratt, Yipeng Hu, Ester Bonmati, O.D. McMasters, Steven Bandula, J. E. Ostenson, Brian Ritchie Davidson, Matthew J. Clarkson and Kurinchi Selvan Gurusamy. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Magnetics, Medical Image Analysis, Applied Physics Letters and Journal of Materials Science.

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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