Raphael T. Gerraty
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Psychiatry and Mental health top 5%
- Experimental and Cognitive Psychology top 5%
- Clinical Psychology top 10%
- Co-authors
- Matthew M. KurtzKosha RuparelRuben C. GurJames LougheadRaquel E. GurMark A. ElliottTheodore D. SatterthwaiteHåkon Håkonarson
- Topics
- Functional Brain Connectivity Studies (8 papers)Neural dynamics and brain function (5 papers)Neural and Behavioral Psychology Studies (5 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Raphael T. Gerraty
11 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 1.5k
- Radiology, Nuclear Medicine and Imaging 525
- Psychiatry and Mental health 426
- Experimental and Cognitive Psychology 368
- Clinical Psychology 132
Countries citing papers authored by Raphael T. Gerraty
This map shows the geographic impact of Raphael T. Gerraty'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 Raphael T. Gerraty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael T. Gerraty more than expected).
Fields of papers citing papers by Raphael T. Gerraty
This network shows the impact of papers produced by Raphael T. Gerraty. 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 Raphael T. Gerraty. The network helps show where Raphael T. Gerraty may publish in the future.
Co-authorship network of co-authors of Raphael T. Gerraty
This figure shows the co-authorship network connecting the top 25 collaborators of Raphael T. Gerraty. A scholar is included among the top collaborators of Raphael T. Gerraty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphael T. Gerraty. Raphael T. Gerraty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 64 | |
| 6 | 12 | |
| 7 | 60 | |
| 8 | 52 | |
| 9 | 36 | |
| 10 | 107 | |
| 11 | An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity databreakdown → | 1302 |
| 12 | 309 |
About Raphael T. Gerraty
Raphael T. Gerraty is a scholar working on Cognitive Neuroscience, Neurology and Management Science and Operations Research, having authored 12 papers that have together received 2.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Experimental and Cognitive Psychology (368 citations) and Psychiatry and Mental health (426 citations). Raphael T. Gerraty has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Matthew M. Kurtz, Kosha Ruparel, Ruben C. Gur, James Loughead, Raquel E. Gur, Mark A. Elliott, Theodore D. Satterthwaite, Håkon Håkonarson, Daniel H. Wolf and Monica E. Calkins. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Human Brain Mapping.
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.