Jonathan D. Power
Impact in
- Cognitive Neuroscience top 0.02%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Functional Brain Connectivity Studies 47
- Neural dynamics and brain function 25
- EEG and Brain-Computer Interfaces 7
- Neural and Behavioral Psychology Studies 4
-
- Advanced MRI Techniques and Applications 22
- Advanced Neuroimaging Techniques and Applications 17
- Co-authors
- Steven E. Petersen (24 shared papers)Bradley L. Schlaggar (20 shared papers)Abraham Z. Snyder (5 shared papers)Kelly A. Barnes (5 shared papers)Timothy O. Laumann (8 shared papers)Jessica A. Church (6 shared papers)Alexander Li Cohen (6 shared papers)Alecia C. Vogel (6 shared papers)
- Journals
- NeuroImage (13 papers)Neuron (7 papers)Cerebral Cortex (3 papers)Human Brain Mapping (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jonathan D. Power
65 papers receiving 25.9k citations
Jonathan D. Power's Hit Papers
Peers
Comparison fields: 5 of 189
- Cognitive Neuroscience 21.3k
- Radiology, Nuclear Medicine and Imaging 7.3k
- Experimental and Cognitive Psychology 3.8k
- Psychiatry and Mental health 2.0k
- Neurology 815
Countries citing papers authored by Jonathan D. Power
This map shows the geographic impact of Jonathan D. Power'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 Jonathan D. Power with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Power more than expected).
Fields of papers citing papers by Jonathan D. Power
This network shows the impact of papers produced by Jonathan D. Power. 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 Jonathan D. Power. The network helps show where Jonathan D. Power may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. Power, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion Hit paper breakdown → | 2011 | 6102 |
| 2 | Functional Network Organization of the Human Brain Hit paper breakdown → | 2011 | 3259 |
| 3 | Methods to detect, characterize, and remove motion artifact in resting state fMRI Hit paper breakdown → | 2013 | 2763 |
| 4 | Prediction of Individual Brain Maturity Using fMRI Hit paper breakdown → | 2010 | 1759 |
| 5 | Functional Brain Networks Develop from a “Local to Distributed” Organization Hit paper breakdown → | 2009 | 1264 |
| 6 | Multi-task connectivity reveals flexible hubs for adaptive task control Hit paper breakdown → | 2013 | 1258 |
| 7 | Intrinsic and Task-Evoked Network Architectures of the Human Brain Hit paper breakdown → | 2014 | 1203 |
| 8 | Resting-state fMRI in the Human Connectome Project Hit paper breakdown → | 2013 | 1173 |
| 9 | Recent progress and outstanding issues in motion correction in resting state fMRI Hit paper breakdown → | 2014 | 779 |
| 10 | Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity Hit paper breakdown → | 2017 | 755 |
| 11 | The Development of Human Functional Brain Networks Hit paper breakdown → | 2010 | 616 |
| 12 | Evidence for Hubs in Human Functional Brain Networks Hit paper breakdown → | 2013 | 580 |
| 13 | Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high‐motion data points Hit paper breakdown → | 2013 | 441 |
| 14 | Sources and implications of whole-brain fMRI signals in humans Hit paper breakdown → | 2016 | 415 |
| 15 | 2010 | 312 | |
| 16 | 2012 | 296 | |
| 17 | A somato-cognitive action network alternates with effector regions in motor cortex Hit paper breakdown → | 2023 | 296 |
| 18 | 2013 | 261 | |
| 19 | 2018 | 208 | |
| 20 | 2014 | 204 |
About Jonathan D. Power
Jonathan D. Power is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Neurology and Ocean Engineering, having authored 68 papers that have together received 26.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (47 papers), Neural dynamics and brain function (25 papers), Advanced MRI Techniques and Applications (22 papers), Advanced Neuroimaging Techniques and Applications (17 papers), EEG and Brain-Computer Interfaces (7 papers), Neural and Behavioral Psychology Studies (4 papers), Marine and Coastal Research (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Cognitive Neuroscience (21.3k citations), Radiology, Nuclear Medicine and Imaging (7.3k citations), Experimental and Cognitive Psychology (3.8k citations), Psychiatry and Mental health (2.0k citations) and Neurology (815 citations). Jonathan D. Power has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Steven E. Petersen, Bradley L. Schlaggar, Abraham Z. Snyder, Kelly A. Barnes, Timothy O. Laumann, Jessica A. Church, Alexander Li Cohen, Alecia C. Vogel, Anish Mitra and Michael W. Cole. Their work appears in journals such as NeuroImage, Neuron, Cerebral Cortex, Human Brain Mapping and Proceedings of the National Academy of Sciences.
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.