Tim Donovan

3.4k citations
64 papers · 2.6k · h-index 24

Impact in

Papers in

Tim Donovan

60 papers receiving 2.4k citations

Peers

Tim Donovan
Comparison fields: 5 of 121
  • Equine 113
  • Family Practice 89
  • Cognitive Neuroscience 557
  • Radiology, Nuclear Medicine and Imaging 575
  • Cellular and Molecular Neuroscience 266
Replace Trevor J. Crawford with:
Trevor J. Crawford United Kingdom
Arto C. Nirkko Switzerland
T.H. Brandt Germany
Louis Georges Maillard France
James Vernon Odom United States
Hamish Gavin MacDougall Australia
Christoph Johannes Ploner Germany
Gunnar Lennerstrand Sweden
Charles D. Yingling United States
Hervé Vespignani France
Tim Donovan relative to Trevor J. Crawford United Kingdom Trevor J. Crawford's profile →
Citations per field
00.5×2×3.0×
Trevor J. Crawford · 1×
Citations per year

Countries citing papers authored by Tim Donovan

Since Specialization
Citations

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

Fields of papers citing papers by Tim Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017229
2 2002222
3 2003196
4 2001189
5 2005174
6 2010123
7 2003120
8 2004113
9 200197
10 199891
11 200488
12 200378
13 201477
14 201273
15 200256
16 201747
17 201642
18 200639
19 200333
20 200532

About Tim Donovan

Tim Donovan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Equine, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Radiology practices and education (14 papers), Visual perception and processing mechanisms (7 papers), AI in cancer detection (7 papers), Visual Attention and Saliency Detection (6 papers), Cystic Fibrosis Research Advances (5 papers), Face Recognition and Perception (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Equine (113 citations), Family Practice (89 citations), Cognitive Neuroscience (557 citations), Radiology, Nuclear Medicine and Imaging (575 citations) and Cellular and Molecular Neuroscience (266 citations). Tim Donovan has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include David Manning, Trevor J. Crawford, Thomas Adrian Carpenter, Susan C. Ethell, Damien Litchfield, Vincent M. Reid, Kirsty Dunn, Edward Thomas Bullmore, Paul Charles Fletcher and Johnson Amu. Their work appears in journals such as Cochrane Database of Systematic Reviews, Current Biology, British Journal of Radiology, NeuroImage and Experimental Brain 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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