Bernd Pompe

6.5k total citations · 1 hit paper
31 papers, 4.7k citations indexed

About

Bernd Pompe is a scholar working on Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine and Economics and Econometrics. According to data from OpenAlex, Bernd Pompe has authored 31 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 12 papers in Cardiology and Cardiovascular Medicine and 12 papers in Economics and Econometrics. Recurrent topics in Bernd Pompe's work include Chaos control and synchronization (13 papers), Complex Systems and Time Series Analysis (12 papers) and Heart Rate Variability and Autonomic Control (12 papers). Bernd Pompe is often cited by papers focused on Chaos control and synchronization (13 papers), Complex Systems and Time Series Analysis (12 papers) and Heart Rate Variability and Autonomic Control (12 papers). Bernd Pompe collaborates with scholars based in Germany, Poland and Italy. Bernd Pompe's co-authors include Christoph Bandt, Stefan Frenzel, Gerhard Keller, R. Leven, Bernd-Peter Koch, Dirk Hoyer, Jakob Runge, C. Wilke, Daniël Hoyer and Uwe Schneider and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Biomedical Engineering and Physics Letters A.

In The Last Decade

Bernd Pompe

31 papers receiving 4.6k citations

Hit Papers

Permutation Entropy: A Natural Complexity Measure for Tim... 2002 2026 2010 2018 2002 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernd Pompe Germany 16 1.5k 1.2k 1.2k 645 626 31 4.7k
Christoph Bandt Germany 21 1.4k 0.9× 1.1k 0.8× 1.2k 1.0× 382 0.6× 608 1.0× 68 5.0k
Joseph P. Zbilut United States 34 1.3k 0.9× 1.2k 0.9× 1.1k 1.0× 680 1.1× 423 0.7× 109 5.3k
Matthew B. Kennel United States 18 1.7k 1.1× 714 0.6× 1.1k 0.9× 246 0.4× 699 1.1× 29 3.9k
Andrew M. Fraser United States 13 1.7k 1.2× 765 0.6× 1.2k 1.0× 244 0.4× 760 1.2× 22 4.6k
Reggie Brown United States 21 3.0k 2.0× 912 0.7× 1.5k 1.3× 336 0.5× 939 1.5× 27 5.8k
M. Carmen Romano United Kingdom 27 1.4k 0.9× 1.0k 0.8× 1.0k 0.9× 377 0.6× 363 0.6× 67 4.8k
Jianbo Gao United States 35 1.7k 1.1× 887 0.7× 1.4k 1.2× 365 0.6× 399 0.6× 127 4.3k
Michael T. Rosenstein United States 21 1.1k 0.7× 608 0.5× 616 0.5× 294 0.5× 742 1.2× 45 4.8k
Milan Paluš Czechia 35 1.1k 0.7× 1.8k 1.5× 1.1k 0.9× 324 0.5× 483 0.8× 95 4.4k
Marko Thiel Germany 16 1.1k 0.7× 870 0.7× 833 0.7× 332 0.5× 346 0.6× 40 3.6k

Countries citing papers authored by Bernd Pompe

Since Specialization
Citations

This map shows the geographic impact of Bernd Pompe'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 Bernd Pompe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Pompe more than expected).

Fields of papers citing papers by Bernd Pompe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernd Pompe. 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 Bernd Pompe. The network helps show where Bernd Pompe may publish in the future.

Co-authorship network of co-authors of Bernd Pompe

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Pompe. A scholar is included among the top collaborators of Bernd Pompe 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 Bernd Pompe. Bernd Pompe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pompe, Bernd & Jakob Runge. (2011). Momentary information transfer as a coupling measure of time series. Physical Review E. 83(5). 51122–51122. 73 indexed citations
2.
Frenzel, Stefan & Bernd Pompe. (2007). Partial Mutual Information for Coupling Analysis of Multivariate Time Series. Physical Review Letters. 99(20). 204101–204101. 222 indexed citations
3.
Hoyer, Dirk, Holger Friedrich, B. Frank, et al.. (2006). Autonomic information flow improves prognostic impact of task force HRV monitoring. Computer Methods and Programs in Biomedicine. 81(3). 246–255. 28 indexed citations
4.
Pompe, Bernd, et al.. (2006). Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses. Medical & Biological Engineering & Computing. 44(3). 179–187. 96 indexed citations
5.
Hoyer, Dirk, et al.. (2005). Mutual Information Function Assesses Autonomic Information Flow of Heart Rate Dynamics at Different Time Scales. IEEE Transactions on Biomedical Engineering. 52(4). 584–592. 74 indexed citations
7.
Rienzo, Marco Di, Dirk Hoyer, Paolo Castiglioni, et al.. (2005). Assessment of baroreflex contribution to spontaneous blood pressure-heart rate coupling by cross mutual information. IrInSubria (University of Insubria). 1. 589–591. 1 indexed citations
8.
Hoyer, Dirk, Holger Friedrich, Ulrich Zwiener, et al.. (2005). Prognostic impact of autonomic information flow in multiple organ dysfunction syndrome patients. International Journal of Cardiology. 108(3). 359–369. 47 indexed citations
9.
Bandt, Christoph & Bernd Pompe. (2002). Permutation Entropy: A Natural Complexity Measure for Time Series. Physical Review Letters. 88(17). 174102–174102. 3524 indexed citations breakdown →
10.
Hoyer, Dirk, Daniel T. Kaplan, Milan Paluš, Bernd Pompe, & Henrik Seidel. (1998). New systems-analytical approaches to nonlinear coordination. IEEE Engineering in Medicine and Biology Magazine. 17(6). 58–61. 7 indexed citations
11.
Pompe, Bernd, et al.. (1998). Using mutual information to measure coupling in the cardiorespiratory system. IEEE Engineering in Medicine and Biology Magazine. 17(6). 32–39. 85 indexed citations
12.
Hoyer, Dirk, Bernd Pompe, Hanspeter Herzel, & U. Zwiener. (1998). Nonlinear coordination of cardiovascular autonomic control. IEEE Engineering in Medicine and Biology Magazine. 17(6). 17–21. 17 indexed citations
13.
Pompe, Bernd. (1994). On some entropy methods in data analysis. Chaos Solitons & Fractals. 4(1). 83–96. 12 indexed citations
14.
Pompe, Bernd. (1993). Measuring statistical dependences in a time series. Journal of Statistical Physics. 73(3-4). 587–610. 69 indexed citations
15.
Koch, Bernd-Peter, et al.. (1989). Chaos in dissipativen Systemen. 30 indexed citations
16.
Herzel, Hanspeter & Bernd Pompe. (1987). Effects of noise on a nonuniform chaotic map. Physics Letters A. 122(2). 121–125. 25 indexed citations
17.
Pompe, Bernd, et al.. (1986). State Predictability and Information Flow in Simple Chaotic Systems. Zeitschrift für Naturforschung A. 41(6). 801–818. 14 indexed citations
18.
Pompe, Bernd & R. Leven. (1986). Transinformation of Chaotic Systems. Physica Scripta. 34(1). 8–13. 5 indexed citations
19.
Leven, R., Bernd Pompe, C. Wilke, & Bernd-Peter Koch. (1985). Experiments on periodic and chaotic motions of a parametrically forced pendulum. Physica D Nonlinear Phenomena. 16(3). 371–384. 87 indexed citations
20.
Koch, Bernd-Peter, R. Leven, Bernd Pompe, & C. Wilke. (1983). Experimental evidence for chaotic behaviour of a parametrically forced pendulum. Physics Letters A. 96(5). 219–224. 41 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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