Paul L. Nunez
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 36
- Functional Brain Connectivity Studies 23
- EEG and Brain-Computer Interfaces 20
- Visual perception and processing mechanisms 3
- Signal Processing top 1%
- Blind Source Separation Techniques 6
-
- Neural Networks and Applications 9
-
- Advanced MRI Techniques and Applications 4
-
- Nonlinear Dynamics and Pattern Formation 3
- Co-authors
- Ramesh SrinivasanRichard B. SilbersteinSamuel J. WilliamsonRanjith S. WijesinghePeter J. CaduschAndrew F. WestdorpDon M. TuckerW. Winter
- Journals
- Brain Topography (7 papers)Clinical Neurophysiology (4 papers)Electroencephalography and Clinical Neurophysiology (4 papers)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Paul L. Nunez
41 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 5.6k
- Cellular and Molecular Neuroscience 962
- Signal Processing 479
- Statistical and Nonlinear Physics 322
- Experimental and Cognitive Psychology 298
Countries citing papers authored by Paul L. Nunez
This map shows the geographic impact of Paul L. Nunez'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 L. Nunez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul L. Nunez more than expected).
Fields of papers citing papers by Paul L. Nunez
This network shows the impact of papers produced by Paul L. Nunez. 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 L. Nunez. The network helps show where Paul L. Nunez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul L. Nunez, 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 | 2019 | 18 | |
| 2 | 2019 | 29 | |
| 3 | 2010 | 26 | |
| 4 | 2007 | 97 | |
| 5 | 2007 | 386 | |
| 6 | 2006 | 93 | |
| 7 | 2006 | 138 | |
| 8 | 2006 | 185 | |
| 9 | 2001 | 423 | |
| 10 | 1999 | 261 | |
| 11 | 1998 | 16 | |
| 12 | EEG coherencybreakdown → | 1997 | 1011 |
| 13 | 1996 | 193 | |
| 14 | 1994 | 65 | |
| 15 | 1993 | 24 | |
| 16 | 1993 | 132 | |
| 17 | 1991 | 3 | |
| 18 | 1991 | 68 | |
| 19 | 1991 | 155 | |
| 20 | 1989 | 137 |
About Paul L. Nunez
Paul L. Nunez is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (36 papers), Functional Brain Connectivity Studies (23 papers), EEG and Brain-Computer Interfaces (20 papers), Neural Networks and Applications (9 papers), Blind Source Separation Techniques (6 papers), Advanced MRI Techniques and Applications (4 papers), Visual perception and processing mechanisms (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Cognitive Neuroscience (5.6k citations), Cellular and Molecular Neuroscience (962 citations), Signal Processing (479 citations), Statistical and Nonlinear Physics (322 citations) and Experimental and Cognitive Psychology (298 citations). Paul L. Nunez has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Ramesh Srinivasan, Richard B. Silberstein, Samuel J. Williamson, Ranjith S. Wijesinghe, Peter J. Cadusch, Andrew F. Westdorp, Don M. Tucker, W. Winter, Kenneth L. Pilgreen and Brett Wingeier. Their work appears in journals such as Brain Topography, Clinical Neurophysiology, Electroencephalography and Clinical Neurophysiology, IEEE Transactions on Biomedical Engineering and Behavioral and Brain 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.