Paul L. Nunez

8.3k citations
42 papers · 6.3k indexed · 2 hit papers · h-index 29

Paul L. Nunez

41 papers receiving 6.0k citations

Hit Papers

EEG coherency1.0k19962026200620162505007501000

Peers

Paul L. Nunez
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
Replace Peng Xu with:
Peng Xu China
Vadim V. Nikulin Germany
Katarzyna J. Blinowska Poland
Koichi Sameshima Brazil
Luiz Antonio Baccalá Brazil
Paul L. Nunez United States
Guido Nolte Germany
Patrick L. Purdon United States
Tamer Demıralp Türkiye
Olivier David France
Paul L. Nunez relative to Peng Xu China Peng Xu's profile →
Citations per field
00.5×1.7×
Peng Xu · 1×
Citations per year

Countries citing papers authored by Paul L. Nunez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Paul L. Nunez Line = papers co-authored together Paul L. Nunez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201918
2 201929
3 201026
4 200797
5 2007386
6 200693
7 2006138
8 2006185
9 2001423
10 1999261
11 199816
12
EEG coherencybreakdown →
19971011
13 1996193
14 199465
15 199324
16 1993132
17 19913
18 199168
19 1991155
20 1989137

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.

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