Julian Gilbey

1.4k total citations · 1 hit paper
10 papers, 792 citations indexed

About

Julian Gilbey is a scholar working on Discrete Mathematics and Combinatorics, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Julian Gilbey has authored 10 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Discrete Mathematics and Combinatorics, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biophysics. Recurrent topics in Julian Gilbey's work include Advanced Fluorescence Microscopy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and semigroups and automata theory (2 papers). Julian Gilbey is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and semigroups and automata theory (2 papers). Julian Gilbey collaborates with scholars based in United Kingdom, United States and Russia. Julian Gilbey's co-authors include Carola‐Bibiane Schönlieb, Effrossyni Gkrania‐Klotsas, Cathal McCague, James H.F. Rudd, Lucian Beer, Zhongzhao Teng, Derek Driggs, Stephan Ursprung, Evis Sala and Jonathan Weir‐McCall and has published in prestigious journals such as Journal of Physics D Applied Physics, Journal of The Royal Society Interface and Discrete Mathematics.

In The Last Decade

Julian Gilbey

9 papers receiving 775 citations

Hit Papers

Common pitfalls and recommendations for using machine lea... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Julian Gilbey
Comparison fields: 5 of 130
  • Radiology, Nuclear Medicine and Imaging 408
  • Artificial Intelligence 255
  • Health Informatics 203
  • Molecular Biology 108
  • Biophysics 106
Replace Christian Etmann with:
Christian Etmann United Kingdom
Niels Olson United States
Cathal McCague United Kingdom
Stephan Ursprung United Kingdom
Derek Driggs United Kingdom
Donghan M. Yang United States
Pegah Khosravi United States
Judy J. Wang United States
Yuxin Shi China
Kevin Wu United States
Christian Etmann United Kingdom View profile →
Citations per field, relative to Julian Gilbey
Julian Gilbey · 1×
Citations per year, relative to Julian Gilbey
Julian Gilbey · 1×

Countries citing papers authored by Julian Gilbey

Since Specialization
Citations

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

Fields of papers citing papers by Julian Gilbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Gilbey

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Gilbey. A scholar is included among the top collaborators of Julian Gilbey 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 Julian Gilbey. Julian Gilbey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 4
2 12
3
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
10
4
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans breakdown →
573
5 109
6 46
7 1
8 20
9 6
10 11

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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