Paul E. Rapp

4.7k total citations
85 papers, 3.4k citations indexed

About

Paul E. Rapp is a scholar working on Cognitive Neuroscience, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Paul E. Rapp has authored 85 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 20 papers in Molecular Biology and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Paul E. Rapp's work include Neural dynamics and brain function (23 papers), Traumatic Brain Injury Research (12 papers) and Chaos control and synchronization (12 papers). Paul E. Rapp is often cited by papers focused on Neural dynamics and brain function (23 papers), Traumatic Brain Injury Research (12 papers) and Chaos control and synchronization (12 papers). Paul E. Rapp collaborates with scholars based in United States, United Kingdom and Australia. Paul E. Rapp's co-authors include A. M. Albano, M J Berridge, A.I. Mees, James Theiler, Christopher J. Cellucci, I. D. Zimmerman, Tanya Schmah, Theodore R. Bashore, C.A. Schwartz and Lawrence A. Farwell and has published in prestigious journals such as Nature, Nature Communications and Psychological Bulletin.

In The Last Decade

Paul E. Rapp

78 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paul E. Rapp United States	29	1.2k	1.1k	709	648	508	85	3.4k
Steven B. Lowen United States	31	1.2k 1.0×	744 0.7×	372 0.5×	508 0.8×	413 0.8×	68	3.1k
John Milton United States	42	2.4k 1.9×	1.4k 1.3×	349 0.5×	245 0.4×	1.1k 2.2×	156	5.4k
Christoph Bandt Germany	21	1.1k 0.9×	1.4k 1.4×	467 0.7×	1.2k 1.9×	415 0.8×	68	5.0k
Daniel T. Kaplan United States	27	936 0.8×	973 0.9×	344 0.5×	922 1.4×	467 0.9×	75	3.7k
Seunghwan Kim South Korea	40	1.3k 1.0×	1.8k 1.7×	557 0.8×	572 0.9×	1.1k 2.3×	238	5.0k
Joseph P. Zbilut United States	34	1.2k 0.9×	1.3k 1.2×	1.0k 1.4×	1.1k 1.7×	647 1.3×	109	5.3k
A. M. Albano United States	24	792 0.6×	1.2k 1.1×	236 0.3×	604 0.9×	467 0.9×	58	2.6k
Jianbo Gao United States	35	887 0.7×	1.7k 1.6×	580 0.8×	1.4k 2.1×	757 1.5×	127	4.3k
M. Carmen Romano United Kingdom	27	1.0k 0.8×	1.4k 1.3×	789 1.1×	1.0k 1.6×	934 1.8×	67	4.8k
Bernd Pompe Germany	16	1.2k 1.0×	1.5k 1.4×	517 0.7×	1.2k 1.8×	578 1.1×	31	4.7k

Countries citing papers authored by Paul E. Rapp

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Paul E. Rapp

This figure shows the co-authorship network connecting the top 25 collaborators of Paul E. Rapp. A scholar is included among the top collaborators of Paul E. Rapp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul E. Rapp. Paul E. Rapp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Barbosa, Daniel A. N., Allan Wang, Yuhao Huang, et al.. (2023). An orexigenic subnetwork within the human hippocampus. Nature. 621(7978). 381–388. 13 indexed citations

Kim, Soyun, Jenna N. Adams, Miranda G Chappel-Farley, et al.. (2023). Examining the diagnostic value of the mnemonic discrimination task for classification of cognitive status and amyloid-beta burden. Neuropsychologia. 191. 108727–108727. 5 indexed citations

Rapp, Paul E.. (2020). Commentary on Wright and Bourke “The growth of cognition: Free energy minimization and the embryogenesis of cortical computation”. Physics of Life Reviews. 36. 24–26. 1 indexed citations

Rapp, Paul E., Chao Wang, Michelle E. Costanzo, et al.. (2019). Single-Trial Mechanisms Underlying Changes in Averaged P300 ERP Amplitude and Latency in Military Service Members After Combat Deployment. Frontiers in Human Neuroscience. 13. 377–377. 4 indexed citations

Rapp, Paul E., et al.. (2017). Specific transfer entropy and other state-dependent transfer entropies for continuous-state input-output systems. Physical review. E. 96(2). 22121–22121. 16 indexed citations

Wang, Chao, Michelle E. Costanzo, Paul E. Rapp, et al.. (2017). Identifying Electrophysiological Prodromes of Post-traumatic Stress Disorder: Results from a Pilot Study. Frontiers in Psychiatry. 8. 71–71. 10 indexed citations

Rapp, Paul E., David O. Keyser, A. M. Albano, et al.. (2015). Traumatic Brain Injury Detection Using Electrophysiological Methods. Frontiers in Human Neuroscience. 9. 11–11. 111 indexed citations

Costanzo, Michelle E., Yi‐Yu Chou, Suzanne Leaman, et al.. (2014). Connecting combat-related mild traumatic brain injury with posttraumatic stress disorder symptoms through brain imaging. Neuroscience Letters. 577. 11–15. 39 indexed citations

Sullivan, Sarah, Stuart H. Friess, Jill Ralston, et al.. (2013). Improved Behavior, Motor, and Cognition Assessments in Neonatal Piglets. Journal of Neurotrauma. 30(20). 1770–1779. 22 indexed citations

10.

Rosenberg, Barr, et al.. (2013). Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures. Cognitive Neurodynamics. 8(1). 1–15. 67 indexed citations

11.

Brunner, Dominik, M. Junge, Paul E. Rapp, Mario Bebendorf, & Lothar Gaul. (2010). Comparison of the Fast Multipole Method with Hierarchical Matrices for the Helmholtz-BEM. Computer Modeling in Engineering & Sciences. 58(2). 131–160. 33 indexed citations

12.

Albano, A. M., et al.. (2008). Time series analysis, or the quest for quantitative measures of time dependent behavior. 1(1). 18–31. 6 indexed citations

13.

Rapp, Paul E., et al.. (2008). Fully optimized discrimination of physiological responses to auditory stimuli. Journal of Neural Engineering. 5(2). 133–143. 1 indexed citations

14.

Rapp, Paul E.. (2007). Quantitative characterization of animal behavior following blast exposure. Cognitive Neurodynamics. 1(4). 287–293. 10 indexed citations

15.

Cellucci, Christopher J., A. M. Albano, & Paul E. Rapp. (2005). Statistical validation of mutual information calculations: Comparison of alternative numerical algorithms. Physical Review E. 71(6). 66208–66208. 131 indexed citations

16.

Rapp, Paul E.. (1994). A guide to dynamical analysis. Integrative Psychological and Behavioral Science. 29(3). 311–327. 70 indexed citations

17.

Rapp, Paul E., A. M. Albano, Tanya Schmah, & Lawrence A. Farwell. (1993). Filtered Noise Can Mimic Low-Dimensional Chaotic Attractors. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 1 indexed citations

18.

Farwell, Lawrence A., et al.. (1993). Optimal digital filters for long‐latency components of the event‐related brain potential. Psychophysiology. 30(3). 306–315. 42 indexed citations

19.

Rapp, Paul E., Theodore R. Bashore, Jacques Martinerie, et al.. (1989). Dynamics of brain electrical activity. Brain Topography. 2(1-2). 99–118. 209 indexed citations

20.

McCusker, C. B. A., et al.. (1975). Structure Function of Large Air Showers. International Cosmic Ray Conference. 8. 2762. 1 indexed citations

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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