Eli Gibson

156 papers receiving 4.1k citations

Eli Gibson's Hit Papers

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks 2018 · 521 citations
5210+2+5Years since publication100200300400500

Peers

Eli Gibson
Comparison fields: 5 of 139
  • Health Informatics 81
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Archeology 50
  • Computer Vision and Pattern Recognition 806
  • Condensed Matter Physics 394
Replace Yu Zhou with:
Yu Zhou China
Wei Zhao United States
Hongen Liao China
Felix Hofmann United Kingdom
Masahiro Oda Japan
Paul L. Carson United States
S. Cochran United Kingdom
Nobuhiko Hata United States
Dominik Nickel Germany
Xiaodong Yang China
Eli Gibson relative to Yu Zhou China Yu Zhou's profile →
Citations per field
00.5×8.5×
Yu Zhou · 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 169 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 →
2018521
2
NiftyNet: a deep-learning platform for medical imaging
Hit paper breakdown →
2018415
3 2018307
4 1967163
5 1989146
6 1998112
7 198799
8 198998
9 198986
10 199082
11 201263
12 198660
13 201257
14 201957
15 197856
16 201756
17 198753
18 201149
19 199348
20 201848

About Eli Gibson

Eli Gibson is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Condensed Matter Physics, Mechanical Engineering and Materials Chemistry, having authored 169 papers that have together received 4.3k 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), Advanced Neural Network Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Particle accelerators and beam dynamics (14 papers), AI in cancer detection (14 papers) and Medical Image Segmentation Techniques (13 papers). The work is most often cited by research in Health Informatics (81 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Archeology (50 citations), Computer Vision and Pattern Recognition (806 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, J. E. Ostenson, Matthew J. Clarkson, Brian R Davidson, Kurinchi Selvan Gurusamy and H. L. Downing. Their work appears in journals such as Journal of Applied Physics, Applied Physics Letters, IEEE Transactions on Magnetics, Journal of Materials Science and Medical Image Analysis.

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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