Peter S. LaViolette
Impact in
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Psychiatry and Mental health top 1%
- Dementia and Cognitive Impairment Research
Papers in
- Genetics 21
- Glioma Diagnosis and Treatment 20
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- Radiomics and Machine Learning in Medical Imaging 22
- MRI in cancer diagnosis 18
- Advanced Neuroimaging Techniques and Applications 12
- Advanced MRI Techniques and Applications 9
- Co-authors
- Reisa A. SperlingMaija PihlajamäkiDorene M. RentzKeith A. JohnsonTrey HeddenKelly O’KeefeDennis J. SelkoeJ. Alex Becker
- Journals
- Neuro-Oncology (7 papers)Journal of Neuro-Oncology (6 papers)Tomography (5 papers)Cancers (4 papers)The Prostate (2 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Peter S. LaViolette
70 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 2.6k
- Psychiatry and Mental health 1.2k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Neurology 294
- Physiology 858
Countries citing papers authored by Peter S. LaViolette
This map shows the geographic impact of Peter S. LaViolette'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 S. LaViolette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter S. LaViolette more than expected).
Fields of papers citing papers by Peter S. LaViolette
This network shows the impact of papers produced by Peter S. LaViolette. 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 S. LaViolette. The network helps show where Peter S. LaViolette may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter S. LaViolette, 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 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 33 | |
| 8 | 2019 | 89 | |
| 9 | 2018 | 101 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 56 | |
| 12 | 2015 | 21 | |
| 13 | 2014 | 61 | |
| 14 | 2011 | 14 | |
| 15 | 2011 | 25 | |
| 16 | 2010 | 91 | |
| 17 | 2010 | 37 | |
| 18 | 2010 | 79 | |
| 19 | Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia Hit paper breakdown → | 2009 | 1158 |
| 20 | 2008 | 204 |
About Peter S. LaViolette
Peter S. LaViolette is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Psychiatry and Mental health, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Glioma Diagnosis and Treatment (20 papers), MRI in cancer diagnosis (18 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (9 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Psychiatry and Mental health (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Neurology (294 citations) and Physiology (858 citations). Peter S. LaViolette has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Reisa A. Sperling, Maija Pihlajamäki, Dorene M. Rentz, Keith A. Johnson, Trey Hedden, Kelly O’Keefe, Dennis J. Selkoe, J. Alex Becker, Stephen V. Faraone and Larry J. Seidman. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Tomography, Cancers and The Prostate.
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.