Thomas Anthony

26 papers receiving 262 citations

Peers

Thomas Anthony
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 107
  • Cognitive Neuroscience 82
  • Psychiatry and Mental health 58
  • Neurology 52
  • Biological Psychiatry 7
Replace Suhong Wang with:
Suhong Wang China
David Brennan United Kingdom
Gustaf Öqvist Seimyr Sweden
Yan Tang China
Peter Lee South Korea
Jennifer Stiso United States
Thomas Foki Austria
Silvia Primativo Italy
Matthew Rosenberg United States
Hang-Keun Kim South Korea
Thomas Anthony relative to Suhong Wang China Suhong Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Anthony

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Anthony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201941
2 202036
3 201734
4 201925
5
Thinking Fast and Slow with Deep Learning and Tree Search
201723
6 202218
7 202013
8 201411
9 200111
10
On the role of planning in model-based deep reinforcement learning
202110
11 20219
12 20217
13 20166
14 20205
15 19854
16 20083
17 20202
18 20202
19 20032
20 20241

About Thomas Anthony

Thomas Anthony is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Neurology and Safety, Risk, Reliability and Quality, having authored 30 papers that have together received 270 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Traffic and Road Safety (5 papers), Neurological disorders and treatments (5 papers), Human-Automation Interaction and Safety (4 papers), Reinforcement Learning in Robotics (4 papers), Artificial Intelligence in Games (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Schizophrenia research and treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (107 citations), Cognitive Neuroscience (82 citations), Psychiatry and Mental health (58 citations), Neurology (52 citations) and Biological Psychiatry (7 citations). Thomas Anthony has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nina V. Kraguljac, Adrienne C. Lahti, Frank M. Skidmore, Charity J. Morgan, Ripu D. Jindal, David M. White, Tian Zheng, David Barber, Neel Patel and Benjamin McManus. Their work appears in journals such as IEEE Transactions on Magnetics, Transportation Research Part F Traffic Psychology and Behaviour, Neuroinformatics, Biological Psychiatry Cognitive Neuroscience and Neuroimaging and Journal of Sleep 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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