Paul E. Rapp
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
-
- Neural dynamics and brain function 27
- EEG and Brain-Computer Interfaces 12
-
- Gene Regulatory Network Analysis 10
- Co-authors
- A. M. Albano (27 shared papers)A.I. Mees (11 shared papers)M J Berridge (3 shared papers)Christopher J. Cellucci (23 shared papers)James Theiler (1 shared paper)I. D. Zimmerman (7 shared papers)Theodore R. Bashore (9 shared papers)Tanya Schmah (5 shared papers)
- Journals
- International Journal of Bifurcation and Chaos (8 papers)Mathematical Biosciences (5 papers)Journal of Experimental Biology (4 papers)Frontiers in Neurology (3 papers)Psychophysiology (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Paul E. Rapp
89 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 167
- Statistical and Nonlinear Physics 1.2k
- Cognitive Neuroscience 1.4k
- Economics and Econometrics 745
- Computer Networks and Communications 604
- Cellular and Molecular Neuroscience 423
Countries citing papers authored by Paul E. Rapp
This map shows the geographic impact of Paul E. Rapp'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 E. Rapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Rapp more than expected).
Fields of papers citing papers by Paul E. Rapp
This network shows the impact of papers produced by Paul E. Rapp. 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 E. Rapp. The network helps show where Paul E. Rapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul E. Rapp, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 394 | |
| 2 | 1996 | 265 | |
| 3 | 1993 | 224 | |
| 4 | 1989 | 221 | |
| 5 | 1979 | 190 | |
| 6 | 1985 | 155 | |
| 7 | 2005 | 145 | |
| 8 | 1989 | 137 | |
| 9 | 1987 | 126 | |
| 10 | 1994 | 121 | |
| 11 | 2015 | 119 | |
| 12 | 1979 | 115 | |
| 13 | 2003 | 97 | |
| 14 | 1987 | 96 | |
| 15 | 1977 | 92 | |
| 16 | 1981 | 84 | |
| 17 | 1992 | 79 | |
| 18 | 2013 | 74 | |
| 19 | 1994 | 73 | |
| 20 | 1981 | 71 |
About Paul E. Rapp
Paul E. Rapp is a scholar working on Cognitive Neuroscience, Molecular Biology, Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 94 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), Chaos control and synchronization (17 papers), Blind Source Separation Techniques (12 papers), EEG and Brain-Computer Interfaces (12 papers), Neural Networks and Applications (11 papers), Traumatic Brain Injury Research (11 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Gene Regulatory Network Analysis (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Cognitive Neuroscience (1.4k citations), Economics and Econometrics (745 citations), Computer Networks and Communications (604 citations) and Cellular and Molecular Neuroscience (423 citations). Paul E. Rapp has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include A. M. Albano, A.I. Mees, M J Berridge, Christopher J. Cellucci, James Theiler, I. D. Zimmerman, Theodore R. Bashore, Tanya Schmah, C.A. Schwartz and Jacques Martinerie. Their work appears in journals such as International Journal of Bifurcation and Chaos, Mathematical Biosciences, Journal of Experimental Biology, Frontiers in Neurology and Psychophysiology.
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.