Robert Gray

33 papers receiving 1.3k citations

Robert Gray's Hit Papers

NiftyNet: a deep-learning platform for medical imaging 2018 · 415 citations
4150+2+5Years since publication100200300400

Peers

Robert Gray
Comparison fields: 5 of 134
  • Health Informatics 32
  • Neurology 109
  • Radiology, Nuclear Medicine and Imaging 276
  • Geophysics 176
  • Computer Vision and Pattern Recognition 212
Replace Yanbo Zhang with:
Yanbo Zhang China
Yuan Xu China
Shuai Li China
Simon Doran United Kingdom
Yu Dai China
Yuting He China
Dean Ta China
Minhua Lu China
Marcus Stoffel Germany
Vincent Christlein Germany
Robert Gray relative to Yanbo Zhang China Yanbo Zhang's profile →
Citations per field
00.5×6.8×
Yanbo Zhang · 1×
Citations per year

Countries citing papers authored by Robert Gray

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NiftyNet: a deep-learning platform for medical imaging
Hit paper breakdown →
2018415
2 2022125
3 1984115
4 201281
5 201774
6 202260
7 201041
8 201240
9 197440
10 198438
11 202135
12 198333
13 198433
14 202228
15 198423
16 202119
17 202416
18 196616
19 198716
20 201814

About Robert Gray

Robert Gray is a scholar working on Geophysics, Civil and Structural Engineering, Artificial Intelligence, Molecular Biology and Mechanics of Materials, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include earthquake and tectonic studies (7 papers), Innovative concrete reinforcement materials (6 papers), Geological and Geochemical Analysis (6 papers), High-pressure geophysics and materials (6 papers), Structural Behavior of Reinforced Concrete (4 papers), Mechanical Behavior of Composites (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Fiber-reinforced polymer composites (3 papers). The work is most often cited by research in Health Informatics (32 citations), Neurology (109 citations), Radiology, Nuclear Medicine and Imaging (276 citations), Geophysics (176 citations) and Computer Vision and Pattern Recognition (212 citations). Robert Gray has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include R. N. Pysklywec, Parashkev Nachev, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Guotai Wang, Carole H. Sudre, T. Whyntie, Lucas Fidon and Yipeng Hu. Their work appears in journals such as Geophysical Research Letters, Journal of Geophysical Research Atmospheres, Brain Communications, SAE technical papers on CD-ROM/SAE technical paper series and Cement and Concrete Research.

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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