Brian E. Gregg
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
Papers in
-
- Functional Brain Connectivity Studies 5
- Neurobiology of Language and Bilingualism 1
-
- Advanced Neuroimaging Techniques and Applications 4
- Medical Imaging Techniques and Applications 1
- Advanced MRI Techniques and Applications 1
- Co-authors
- Jeffrey L. Gunter (8 shared papers)Clifford R. Jack (8 shared papers)Prashanthi Vemuri (8 shared papers)Ronald C. Petersen (8 shared papers)Matthew L. Senjem (7 shared papers)David S. Knopman (7 shared papers)Mary M. Machulda (5 shared papers)David T. Jones (4 shared papers)
- Journals
- Neurology (2 papers)Alzheimer s & Dementia (2 papers)JAMA Neurology (1 paper)PLoS ONE (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- United States
In The Last Decade
Brian E. Gregg
8 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 651
- Psychiatry and Mental health 435
- Physiology 373
- Radiology, Nuclear Medicine and Imaging 288
- Neurology 86
Countries citing papers authored by Brian E. Gregg
This map shows the geographic impact of Brian E. Gregg'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 Brian E. Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Gregg more than expected).
Fields of papers citing papers by Brian E. Gregg
This network shows the impact of papers produced by Brian E. Gregg. 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 Brian E. Gregg. The network helps show where Brian E. Gregg may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Gregg, 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 | 2012 | 341 | |
| 2 | 2015 | 273 | |
| 3 | 2013 | 150 | |
| 4 | 2012 | 111 | |
| 5 | 2014 | 99 | |
| 6 | 2014 | 78 | |
| 7 | 2021 | 5 | |
| 8 | 2012 | 2 |
About Brian E. Gregg
Brian E. Gregg is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Physiology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers), Neurobiology of Language and Bilingualism (1 paper), Medical Imaging Techniques and Applications (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (651 citations), Psychiatry and Mental health (435 citations), Physiology (373 citations), Radiology, Nuclear Medicine and Imaging (288 citations) and Neurology (86 citations). Brian E. Gregg has collaborated with scholars based in United States. Frequent co-authors include Jeffrey L. Gunter, Clifford R. Jack, Prashanthi Vemuri, Ronald C. Petersen, Matthew L. Senjem, David S. Knopman, Mary M. Machulda, David T. Jones, Scott A. Przybelski and Michelle M. Mielke. Their work appears in journals such as Neurology, Alzheimer s & Dementia, JAMA Neurology, PLoS ONE and Frontiers in Neurology.
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.