Paul R. Carney
- Computational Mathematics top 2%
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 31
- EEG and Brain-Computer Interfaces 22
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- Neuroscience and Neuropharmacology Research 28
- Neuroscience and Neural Engineering 14
- Psychiatry and Mental health top 2%
- Epilepsy research and treatment 22
- Signal Processing top 2%
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- Advanced Neuroimaging Techniques and Applications 18
- Advanced MRI Techniques and Applications 14
- Optical Imaging and Spectroscopy Techniques 13
- Co-authors
- Thomas H. MareciMalisa SarntinoranontJ. Chris SackellaresLeonidas IasemidisDeng‐Shan ShiauW. Art ChaovalitwongseJosé C. Prı́ncipeJames D. Geyer
- Journals
- Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesColombiaChina
In The Last Decade
Paul R. Carney
126 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 160
- Computational Mathematics 44
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 741
- Psychiatry and Mental health 552
- Signal Processing 341
Countries citing papers authored by Paul R. Carney
This map shows the geographic impact of Paul R. Carney'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 Paul R. Carney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul R. Carney more than expected).
Fields of papers citing papers by Paul R. Carney
This network shows the impact of papers produced by Paul R. Carney. 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 Paul R. Carney. The network helps show where Paul R. Carney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul R. Carney, 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 | 2023 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 8 | |
| 7 | 2017 | 10 | |
| 8 | 2014 | 73 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 9 | |
| 11 | 2012 | 12 | |
| 12 | Reading EEGs : a practical approach | 2010 | 17 |
| 13 | 2009 | 11 | |
| 14 | 2008 | 18 | |
| 15 | 2008 | 23 | |
| 16 | 2007 | 78 | |
| 17 | 2006 | 32 | |
| 18 | 2005 | 68 | |
| 19 | 2005 | 147 | |
| 20 | 2000 | 30 |
About Paul R. Carney
Paul R. Carney is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 129 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (31 papers), Neuroscience and Neuropharmacology Research (28 papers), Epilepsy research and treatment (22 papers), EEG and Brain-Computer Interfaces (22 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Neuroscience and Neural Engineering (14 papers), Advanced MRI Techniques and Applications (14 papers) and Optical Imaging and Spectroscopy Techniques (13 papers). The work is most often cited by research in Computational Mathematics (44 citations), Cognitive Neuroscience (1.4k citations) and Cellular and Molecular Neuroscience (741 citations). Paul R. Carney has collaborated with scholars based in United States, Colombia and China. Frequent co-authors include Thomas H. Mareci, Malisa Sarntinoranont, J. Chris Sackellares, Leonidas Iasemidis, Deng‐Shan Shiau, W. Art Chaovalitwongse, José C. Prı́ncipe, James D. Geyer, Fernando Casanova and Jerry Silver. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.
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.