Joseph P. Zbilut
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 2%
- Economics and Econometrics top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Charles L. WebberC. L. WebberAlessandro GiulianiFernanda StrozziNitza ThomassonElio ConteAlfredo ColosimoAntonio Federici
- Topics
- Chaos control and synchronization (27 papers)Protein Structure and Dynamics (19 papers)Complex Systems and Time Series Analysis (18 papers)
- Journals
- Chemical ReviewsPLoS ONENeuroImage
- Partner nations
- United StatesItalyGermany
In The Last Decade
Joseph P. Zbilut
102 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Statistical and Nonlinear Physics 1.3k
- Cognitive Neuroscience 1.2k
- Economics and Econometrics 1.1k
- Molecular Biology 1.0k
- Cardiology and Cardiovascular Medicine 680
Countries citing papers authored by Joseph P. Zbilut
This map shows the geographic impact of Joseph P. Zbilut'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 Joseph P. Zbilut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph P. Zbilut more than expected).
Fields of papers citing papers by Joseph P. Zbilut
This network shows the impact of papers produced by Joseph P. Zbilut. 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 Joseph P. Zbilut. The network helps show where Joseph P. Zbilut may publish in the future.
Co-authorship network of co-authors of Joseph P. Zbilut
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph P. Zbilut. A scholar is included among the top collaborators of Joseph P. Zbilut 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 Joseph P. Zbilut. Joseph P. Zbilut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Mind States Follow Quantum Mechanics During Perception and Cognition of Ambiguous Figures: A Final Experimental Confirmation | 4 |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | Non Linear Assessment of Musical Consonance | 1 |
| 9 | 37 | |
| 10 | Application of Recurrence Quantification Analysis to EEG Signals. | 12 |
| 11 | 28 | |
| 12 | 37 | |
| 13 | 27 | |
| 14 | 49 | |
| 15 | 11 | |
| 16 | 20 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | Dostoevskian Romanticism : from irony to existentiality | 1 |
About Joseph P. Zbilut
Joseph P. Zbilut is a scholar working on Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 109 papers that have together received 5.3k indexed citations. Recurring topics across this work include Chaos control and synchronization (27 papers), Protein Structure and Dynamics (19 papers) and Complex Systems and Time Series Analysis (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Cognitive Neuroscience (1.2k citations) and Signal Processing (462 citations). Joseph P. Zbilut has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Charles L. Webber, C. L. Webber, Alessandro Giuliani, Fernanda Strozzi, Nitza Thomasson, Elio Conte, Alfredo Colosimo, Antonio Federici, J.M. Zaldı́var and Cesare Manetti. Their work appears in journals such as Chemical Reviews, PLoS ONE and NeuroImage.
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.