Jacqueline M. Hampton
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Experimental and Cognitive Psychology top 10%
- Psychiatry and Mental health
- Neurology top 10%
- Co-authors
- Deanna J. GreeneBradley L. SchlaggarNico U.F. DosenbachSteven E. PetersenAnnie L. NguyenJoshua S. ShimonyCatherine R. HoytTimothy O. Laumann
- Topics
- Functional Brain Connectivity Studies (3 papers)Advanced MRI Techniques and Applications (3 papers)Advanced Neuroimaging Techniques and Applications (2 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Journals
- NeuronNeuroImageScientific Reports
- Partner nations
- United States
In The Last Decade
Jacqueline M. Hampton
4 papers receiving 976 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 856
- Radiology, Nuclear Medicine and Imaging 372
- Experimental and Cognitive Psychology 148
- Psychiatry and Mental health 68
- Neurology 65
Countries citing papers authored by Jacqueline M. Hampton
This map shows the geographic impact of Jacqueline M. Hampton'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 Jacqueline M. Hampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline M. Hampton more than expected).
Fields of papers citing papers by Jacqueline M. Hampton
This network shows the impact of papers produced by Jacqueline M. Hampton. 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 Jacqueline M. Hampton. The network helps show where Jacqueline M. Hampton may publish in the future.
Co-authorship network of co-authors of Jacqueline M. Hampton
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline M. Hampton. A scholar is included among the top collaborators of Jacqueline M. Hampton 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 Jacqueline M. Hampton. Jacqueline M. Hampton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 30 | |
| 3 | 137 | |
| 4 | Precision Functional Mapping of Individual Human Brainsbreakdown → | 788 |
About Jacqueline M. Hampton
Jacqueline M. Hampton is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 4 papers that have together received 982 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (3 papers), Advanced MRI Techniques and Applications (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (856 citations), Radiology, Nuclear Medicine and Imaging (372 citations) and Experimental and Cognitive Psychology (148 citations). Jacqueline M. Hampton has collaborated with scholars based in United States. Frequent co-authors include Deanna J. Greene, Bradley L. Schlaggar, Nico U.F. Dosenbach, Steven E. Petersen, Annie L. Nguyen, Joshua S. Shimony, Catherine R. Hoyt, Timothy O. Laumann, Dillan J. Newbold and Scott M. Nelson. Their work appears in journals such as Neuron, NeuroImage and Scientific Reports.
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.