Peter J. Cadusch

3.6k total citations · 1 hit paper
43 papers, 2.8k citations indexed

About

Peter J. Cadusch is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Peter J. Cadusch has authored 43 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 9 papers in Statistical and Nonlinear Physics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Peter J. Cadusch's work include Neural dynamics and brain function (19 papers), EEG and Brain-Computer Interfaces (12 papers) and stochastic dynamics and bifurcation (6 papers). Peter J. Cadusch is often cited by papers focused on Neural dynamics and brain function (19 papers), EEG and Brain-Computer Interfaces (12 papers) and stochastic dynamics and bifurcation (6 papers). Peter J. Cadusch collaborates with scholars based in Australia, United States and South Africa. Peter J. Cadusch's co-authors include Richard B. Silberstein, Paul L. Nunez, Ramesh Srinivasan, Ranjith S. Wijesinghe, Don M. Tucker, Andrew F. Westdorp, David T. J. Liley, Mathew P. Dafilis, Paul R. Stoddart and Andrew Wood and has published in prestigious journals such as Psychophysiology, Electroencephalography and Clinical Neurophysiology and PLoS Computational Biology.

In The Last Decade

Peter J. Cadusch

40 papers receiving 2.7k citations

Hit Papers

EEG coherency 1997 2026 2006 2016 1997 250 500 750 1000

Peers

Peter J. Cadusch
Paul L. Nunez United States
Wim van Drongelen United States
Piotr J. Franaszczuk United States
Sarang S. Dalal United States
Ryan T. Canolty United States
Michael Lindner United Kingdom
Peter J. Cadusch
Citations per year, relative to Peter J. Cadusch Peter J. Cadusch (= 1×) peers Koichi Sameshima

Countries citing papers authored by Peter J. Cadusch

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Cadusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Cadusch. 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 Peter J. Cadusch. The network helps show where Peter J. Cadusch may publish in the future.

Co-authorship network of co-authors of Peter J. Cadusch

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Cadusch. A scholar is included among the top collaborators of Peter J. Cadusch 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 Peter J. Cadusch. Peter J. Cadusch 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.
Cadusch, Peter J., et al.. (2020). Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra. PLoS Computational Biology. 16(4). e1007662–e1007662. 12 indexed citations
2.
Cadusch, Peter J., et al.. (2019). Parameter estimation and identifiability in a neural population model for electro-cortical activity. PLoS Computational Biology. 15(5). e1006694–e1006694. 24 indexed citations
3.
Dafilis, Mathew P., Federico Frascoli, Peter J. Cadusch, & David T. J. Liley. (2015). Extensive Four-Dimensional Chaos in a Mesoscopic Model of the Electroencephalogram. PubMed. 5(1). 28–28. 4 indexed citations
4.
Paviolo, Chiara, John W. Haycock, Peter J. Cadusch, Sally L. McArthur, & Paul R. Stoddart. (2013). Laser exposure of gold nanorods can induce intracellular calcium transients. Journal of Biophotonics. 7(10). 761–765. 64 indexed citations
5.
Thompson, A., et al.. (2012). Origins of Spectral Changes in Fiber Bragg Gratings Due to Macrobending. Journal of Lightwave Technology. 30(22). 3500–3511. 10 indexed citations
6.
Croft, Rodney J., et al.. (2010). Temporal stability of regression‐based electrooculographic correction coefficients. Psychophysiology. 48(1). 96–101. 1 indexed citations
7.
Croft, Rodney J., et al.. (2010). A test of four EOG correction methods using an improved validation technique. International Journal of Psychophysiology. 79(2). 203–210. 27 indexed citations
8.
Croft, Rodney J., et al.. (2009). Is ocular voltage propagation to the electroencephalogram frequency dependent?. Psychophysiology. 46(5). 949–956. 1 indexed citations
9.
Cadusch, Peter J., et al.. (2005). Real-time recording of neuropsychophysiological parameters during 50 Hz magnetic field exposure. Australasian Physical & Engineering Sciences in Medicine. 28(1). 43–50. 4 indexed citations
10.
Wood, Andrew & Peter J. Cadusch. (2005). Cell calcium oscillations: The origin of their variability. Medical & Biological Engineering & Computing. 43(2). 200–205. 2 indexed citations
11.
Bojak, Ingo, David T. J. Liley, Peter J. Cadusch, & K. S. Cheng. (2004). Electrorhythmogenesis and anaesthesia in a physiological mean field theory. Neurocomputing. 58-60. 1197–1202. 13 indexed citations
12.
Liley, David T. J., Peter J. Cadusch, Marcus A. Gray, & Pradeep J. Nathan. (2003). Drug-induced modification of the system properties associated with spontaneous human electroencephalographic activity. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(5). 51906–51906. 40 indexed citations
13.
Silberstein, Richard B., et al.. (2000). Steady-state visual evoked potentials and travelling waves. Clinical Neurophysiology. 111(2). 246–258. 130 indexed citations
14.
Nunez, Paul L., Richard B. Silberstein, Zhiping Shi, et al.. (1999). EEG coherency II: experimental comparisons of multiple measures. Clinical Neurophysiology. 110(3). 469–486. 261 indexed citations
15.
Nunez, Paul L., Ramesh Srinivasan, Andrew F. Westdorp, et al.. (1997). EEG coherency. Electroencephalography and Clinical Neurophysiology. 103(5). 499–515. 1011 indexed citations breakdown →
16.
Srinivasan, Ramesh, Paul L. Nunez, Don M. Tucker, Richard B. Silberstein, & Peter J. Cadusch. (1996). Spatial sampling and filtering of EEG with spline Laplacians to estimate cortical potentials. Brain Topography. 8(4). 355–366. 193 indexed citations
17.
Puce, Aina, Samuel F. Berkovic, Peter J. Cadusch, & Peter F. Bladin. (1994). P3 latency jitter assessed using 2 techniques. I. Simulated data and surface recordings in normal subjects. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 92(4). 352–364. 16 indexed citations
18.
Nunez, Paul L., Richard B. Silberstein, Peter J. Cadusch, & Ranjith S. Wijesinghe. (1993). Comparison of high resolution EEG methods having different theoretical bases. Brain Topography. 5(4). 361–364. 24 indexed citations
19.
Silberstein, Richard B. & Peter J. Cadusch. (1992). Measurement processes and spatial principal components analysis. Brain Topography. 4(4). 267–276. 30 indexed citations
20.
Nayudu, P. L., Debra A. Gook, Andreas L. Lopata, et al.. (1987). Follicular characteristics associated with viable pregnancy after in vitro fertilization in humans. Gamete Research. 18(1). 37–55. 23 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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