Julian Gilbey
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Health Informatics top 0.5%
- Molecular Biology
- Biophysics top 5%
- Co-authors
- Carola‐Bibiane SchönliebEffrossyni Gkrania‐KlotsasCathal McCagueJames H.F. RuddLucian BeerZhongzhao TengDerek DriggsStephan Ursprung
- Topics
- Advanced Fluorescence Microscopy Techniques (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)semigroups and automata theory (2 papers)
- Journals
- Journal of Physics D Applied PhysicsJournal of The Royal Society InterfaceDiscrete Mathematics
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Julian Gilbey
9 papers receiving 775 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 408
- Artificial Intelligence 255
- Health Informatics 203
- Molecular Biology 108
- Biophysics 106
Countries citing papers authored by Julian Gilbey
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
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
| # | 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 scansbreakdown → | 573 |
| 5 | 109 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 11 |
About Julian Gilbey
Julian Gilbey is a scholar working on Health Informatics, Discrete Mathematics and Combinatorics and Structural Biology, having authored 10 papers that have together received 792 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Health Informatics (203 citations), Biophysics (106 citations) and Radiology, Nuclear Medicine and Imaging (408 citations). Julian Gilbey has collaborated with scholars based in United Kingdom, United States and Russia. Frequent 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. Their work appears in journals such as Journal of Physics D Applied Physics, Journal of The Royal Society Interface and Discrete Mathematics.
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.