John R. Pruett
- Cognitive Neuroscience top 1%
- Autism Spectrum Disorder Research 21
- Functional Brain Connectivity Studies 6
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- Advanced Neuroimaging Techniques and Applications 4
- Psychiatry and Mental health top 5%
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- Child and Animal Learning Development 6
- Behavioral and Psychological Studies 4
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- Family and Disability Support Research 7
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- Child Development and Digital Technology 5
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- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Steven E. PetersenBradley L. SchlaggarEric FeczkoJonathan D. PowerJoseph W. DubisRebecca S. CoalsonDeanna M. BarchNico U.F. Dosenbach
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Partner nations
- United StatesCanadaIndia
In The Last Decade
John R. Pruett
34 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cognitive Neuroscience 1.8k
- Radiology, Nuclear Medicine and Imaging 621
- Experimental and Cognitive Psychology 323
- Psychiatry and Mental health 295
- Developmental and Educational Psychology 137
Countries citing papers authored by John R. Pruett
This map shows the geographic impact of John R. Pruett'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 John R. Pruett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Pruett more than expected).
Fields of papers citing papers by John R. Pruett
This network shows the impact of papers produced by John R. Pruett. 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 John R. Pruett. The network helps show where John R. Pruett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John R. Pruett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 18 | |
| 10 | 2016 | 31 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 9 | |
| 13 | 2014 | 10 | |
| 14 | 2013 | 19 | |
| 15 | 2012 | 15 | |
| 16 | Prediction of Individual Brain Maturity Using fMRIbreakdown → | 2010 | 1584 |
| 17 | 2010 | 50 | |
| 18 | 2005 | 7 | |
| 19 | 2003 | 5 | |
| 20 | 1992 | 2 |
About John R. Pruett
John R. Pruett is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Clinical Psychology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (21 papers), Family and Disability Support Research (7 papers), Child and Animal Learning Development (6 papers), Functional Brain Connectivity Studies (6 papers), Child Development and Digital Technology (5 papers), Behavioral and Psychological Studies (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Radiology, Nuclear Medicine and Imaging (621 citations) and Experimental and Cognitive Psychology (323 citations). John R. Pruett has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Steven E. Petersen, Bradley L. Schlaggar, Eric Feczko, Jonathan D. Power, Joseph W. Dubis, Rebecca S. Coalson, Deanna M. Barch, Nico U.F. Dosenbach, Christina N. Lessov‐Schlaggar and Scott M. Nelson. Their work appears in journals such as Science, Journal of Neuroscience and PLoS ONE.
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.