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
-
- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 10
- Advanced Neuroimaging Techniques and Applications 7
- Genetics 19
- Glioma Diagnosis and Treatment 18
- Co-authors
- Reisa A. Sperling (8 shared papers)Maija Pihlajamäki (6 shared papers)Dorene M. Rentz (3 shared papers)J. Alex Becker (2 shared papers)Dennis J. Selkoe (2 shared papers)Keith A. Johnson (4 shared papers)Trey Hedden (2 shared papers)Kelly O’Keefe (6 shared papers)
- Journals
- Neuro-Oncology (7 papers)Journal of Neuro-Oncology (6 papers)Tomography (5 papers)Cancers (4 papers)The Prostate (2 papers)
- Partner nations
- United StatesThailandSweden
In The Last Decade
Peter S. LaViolette
71 papers receiving 4.5k citations
Peter S. LaViolette's Hit Papers
Peers
Comparison fields: 5 of 136
- Cognitive Neuroscience 2.3k
- Psychiatry and Mental health 978
- Radiology, Nuclear Medicine and Imaging 977
- Neurology 237
- Physiology 717
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-authors
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
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia Hit paper breakdown → | 2009 | 1165 |
| 2 | Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia Hit paper breakdown → | 2009 | 781 |
| 3 | 2010 | 468 | |
| 4 | 2010 | 217 | |
| 5 | 2008 | 208 | |
| 6 | 2009 | 205 | |
| 7 | 2015 | 179 | |
| 8 | 2018 | 103 | |
| 9 | 2010 | 92 | |
| 10 | 2019 | 90 | |
| 11 | 2010 | 80 | |
| 12 | 2009 | 78 | |
| 13 | 2010 | 69 | |
| 14 | 2014 | 62 | |
| 15 | 2016 | 60 | |
| 16 | 2016 | 57 | |
| 17 | 2018 | 46 | |
| 18 | 2009 | 45 | |
| 19 | 2019 | 41 | |
| 20 | 2014 | 41 |
About Peter S. LaViolette
Peter S. LaViolette is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Artificial Intelligence, having authored 75 papers that have together received 4.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (10 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Advanced Neuroimaging Techniques and Applications (7 papers), AI in cancer detection (7 papers), Functional Brain Connectivity Studies (6 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Psychiatry and Mental health (978 citations), Radiology, Nuclear Medicine and Imaging (977 citations), Neurology (237 citations) and Physiology (717 citations). Peter S. LaViolette has collaborated with scholars based in United States, Thailand and Sweden. Frequent co-authors include Reisa A. Sperling, Maija Pihlajamäki, Dorene M. Rentz, J. Alex Becker, Dennis J. Selkoe, Keith A. Johnson, Trey Hedden, Kelly O’Keefe, 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.