Greg Harris
Impact in
- Virology top 5%
- HIV Research and Treatment
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
-
- Advanced Neuroimaging Techniques and Applications 4
- Medical Imaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
-
- Functional Brain Connectivity Studies 4
- Co-authors
- Nancy C. Andreasen (6 shared papers)Daniel S. OʼLeary (6 shared papers)William T. C. Yuh (3 shared papers)Patrick E. Barta (2 shared papers)Elizabeth Aylward (2 shared papers)Vincent A. Magnotta (1 shared paper)Godfrey D. Pearlson (1 shared paper)Jeffrey Henderer (1 shared paper)
- Journals
- Journal of Neuropsychiatry (2 papers)Neurology (2 papers)NeuroImage (1 paper)European Neuropsychopharmacology (1 paper)Computerized Medical Imaging and Graphics (1 paper)
- Partner nations
- United States
In The Last Decade
Greg Harris
13 papers receiving 985 citations
Peers
Comparison fields: 5 of 85
- Virology 216
- Cognitive Neuroscience 343
- Neurology 118
- Cellular and Molecular Neuroscience 238
- Neurology 193
Countries citing papers authored by Greg Harris
This map shows the geographic impact of Greg Harris'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 Greg Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Harris more than expected).
Fields of papers citing papers by Greg Harris
This network shows the impact of papers produced by Greg Harris. 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 Greg Harris. The network helps show where Greg Harris may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Harris, 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 | 2002 | 283 | |
| 2 | 1993 | 265 | |
| 3 | 1993 | 176 | |
| 4 | 1994 | 140 | |
| 5 | 1994 | 49 | |
| 6 | 1994 | 29 | |
| 7 | 1995 | 28 | |
| 8 | 1995 | 26 | |
| 9 | 2015 | 4 | |
| 10 | 2006 | 4 | |
| 11 | 2014 | 2 | |
| 12 | GPU-Accelerated Parameter Optimization for Classification Rule Learning. | 2016 | 1 |
| 13 | 1996 | 1 |
About Greg Harris
Greg Harris is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), Medical Imaging Techniques and Applications (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Advanced MRI Techniques and Applications (2 papers), HIV Research and Treatment (1 paper), Expert finding and Q&A systems (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Virology (216 citations), Cognitive Neuroscience (343 citations), Neurology (118 citations), Cellular and Molecular Neuroscience (238 citations) and Neurology (193 citations). Greg Harris has collaborated with scholars based in United States. Frequent co-authors include Nancy C. Andreasen, Daniel S. OʼLeary, William T. C. Yuh, Patrick E. Barta, Elizabeth Aylward, Vincent A. Magnotta, Godfrey D. Pearlson, Jeffrey Henderer, Ted Cizadlo and J. C. McArthur. Their work appears in journals such as Journal of Neuropsychiatry, Neurology, NeuroImage, European Neuropsychopharmacology and Computerized Medical Imaging and Graphics.
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.