Jonathan Taylor

23 papers receiving 386 citations

Peers

Jonathan Taylor
Comparison fields: 5 of 76
  • Health Informatics 15
  • Pathology and Forensic Medicine 143
  • Neurology 91
  • Psychiatry and Mental health 53
  • Radiology, Nuclear Medicine and Imaging 63
Replace Simona Marcheselli with:
Simona Marcheselli Italy
Fardin Nabizadeh Iran
Kota Yokoyama Japan
Parisa Azimi Iran
Holger Wenz Germany
Frode Kolstad Norway
Makiko Ishihara Japan
Sohrab Shahzadi Iran
Aaron Flammang United States
Jawed Nawabi Germany
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Citations per field
00.5×3.8×
Simona Marcheselli · 1×
Citations per year

Countries citing papers authored by Jonathan Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981188
2 202058
3 201728
4 202219
5 202116
6 201713
7 201213
8
Computer analysis of atypical urothelial cells. I. Classification by supervised learning algorithms.
197713
9 202311
10 20187
11 20237
12 20225
13 20115
14 20234
15 20093
16 20183
17 20143
18
Assessing the performance of a solid-state cardiac gamma camera prior to its introduction into routine clinical service
20113
19 20172
20 20241

About Jonathan Taylor

Jonathan Taylor is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Biomedical Engineering and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Cardiac Imaging and Diagnostics (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Genetic and Kidney Cyst Diseases (2 papers), AI in cancer detection (2 papers), Optical measurement and interference techniques (1 paper) and Foreign Body Medical Cases (1 paper). The work is most often cited by research in Health Informatics (15 citations), Pathology and Forensic Medicine (143 citations), Neurology (91 citations), Psychiatry and Mental health (53 citations) and Radiology, Nuclear Medicine and Imaging (63 citations). Jonathan Taylor has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include M L Espir, Stanley D. Brauer, John Fenner, Peter Metherall, Samer Alabed, Andrew J. Swift, David G. Kiely, Robin Condliffe, Pankaj Garg and Shuo Zhou. Their work appears in journals such as Nuclear Medicine Communications, Frontiers in Cardiovascular Medicine, European Heart Journal - Cardiovascular Imaging, EJNMMI Physics and Kidney International Reports.

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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