Stephan Bialonski
- Cognitive Neuroscience top 2%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience top 10%
- Economics and Econometrics top 10%
- Co-authors
- Klaus LehnertzChristian GeierMarie‐Therese HorstmannMatthäus StaniekGerrit AnsmannAlexander RothkegelTobias WagnerHermann Hinrichs
- Topics
- Neural dynamics and brain function (12 papers)Functional Brain Connectivity Studies (7 papers)Nonlinear Dynamics and Pattern Formation (5 papers)
- Journals
- PLoS ONEScientific ReportseLife
In The Last Decade
Stephan Bialonski
20 papers receiving 927 citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 705
- Statistical and Nonlinear Physics 185
- Computer Networks and Communications 154
- Cellular and Molecular Neuroscience 129
- Economics and Econometrics 103
Countries citing papers authored by Stephan Bialonski
This map shows the geographic impact of Stephan Bialonski'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 Stephan Bialonski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Bialonski more than expected).
Fields of papers citing papers by Stephan Bialonski
This network shows the impact of papers produced by Stephan Bialonski. 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 Stephan Bialonski. The network helps show where Stephan Bialonski may publish in the future.
Co-authorship network of co-authors of Stephan Bialonski
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Bialonski. A scholar is included among the top collaborators of Stephan Bialonski 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 Stephan Bialonski. Stephan Bialonski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 19 | |
| 5 | 11 | |
| 6 | 49 | |
| 7 | 24 | |
| 8 | 28 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 50 | |
| 12 | 20 | |
| 13 | 57 | |
| 14 | 109 | |
| 15 | 48 | |
| 16 | 158 | |
| 17 | 171 | |
| 18 | 56 | |
| 19 | 34 | |
| 20 | 39 |
About Stephan Bialonski
Stephan Bialonski is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 22 papers that have together received 937 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (7 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Cognitive Neuroscience (705 citations), Statistical and Nonlinear Physics (185 citations) and Cellular and Molecular Neuroscience (129 citations). Stephan Bialonski has collaborated with scholars based in Germany, Austria and Denmark. Frequent co-authors include Klaus Lehnertz, Christian Geier, Marie‐Therese Horstmann, Matthäus Staniek, Gerrit Ansmann, Alexander Rothkegel, Tobias Wagner, Hermann Hinrichs, Jörg Wellmer and Hölger Kantz. Their work appears in journals such as PLoS ONE, Scientific Reports and eLife.
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.