Peter Williamson

12.2k citations
106 papers · 6.8k indexed · h-index 46

Peter Williamson

105 papers receiving 6.5k citations

Peers

Peter Williamson
Comparison fields: 5 of 146
  • Cognitive Neuroscience 3.5k
  • Biological Psychiatry 360
  • Behavioral Neuroscience 499
  • Psychiatry and Mental health 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.9k
Replace Beth A. Verchinski with:
Beth A. Verchinski United States
Hidenori Yamasue Japan
Gregory J. Moore United States
Maria Densmore Canada
Philip R. Szeszko United States
Stephen R. Dager United States
Matti Huttunen Finland
Jean Théberge Canada
Joseph C. Wu United States
Lukas Pezawas Austria
Peter Williamson relative to Beth A. Verchinski United States Beth A. Verchinski's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Peter Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201645
2 201516
3 201384
4 201317
5 201324
6 200971
7 200941
8 200695
9 2004174
10 2002302
11 2001377
12 2000112
13 19998
14 1999104
15 199628
16 199273
17 199136
18 199131
19 199158
20 198948

About Peter Williamson

Peter Williamson is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 106 papers that have together received 6.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (51 papers), Advanced MRI Techniques and Applications (35 papers), Advanced Neuroimaging Techniques and Applications (26 papers), Schizophrenia research and treatment (18 papers), Neuroscience and Neuropharmacology Research (10 papers), Autism Spectrum Disorder Research (8 papers), Mental Health Research Topics (8 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cognitive Neuroscience (3.5k citations), Biological Psychiatry (360 citations), Behavioral Neuroscience (499 citations), Psychiatry and Mental health (1.7k citations) and Radiology, Nuclear Medicine and Imaging (1.9k citations). Peter Williamson has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Richard W. J. Neufeld, Maria Densmore, Dick Drost, Ravi S. Menon, Ruth A. Lanius, Jean Théberge, Kristine Boksman, Robyn Bluhm, Joseph S. Gati and Elizabeth Osuch. Their work appears in journals such as Biological Psychiatry, Psychiatry Research Neuroimaging, The British Journal of Psychiatry, American Journal of Psychiatry and The Canadian Journal of Psychiatry.

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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