Piotr Suffczyński
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Statistical and Nonlinear Physics top 2%
- Psychiatry and Mental health top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Stiliyan KalitzinW. BlanesF.H. Lopes Da SilvaFernando Lopes da SilvaJ. ParraD.N. VelisJaime ParraDemetrios N. Velis
- Topics
- Neural dynamics and brain function (33 papers)Neuroscience and Neuropharmacology Research (15 papers)EEG and Brain-Computer Interfaces (12 papers)
- Partner nations
- PolandNetherlandsGermany
In The Last Decade
Piotr Suffczyński
36 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 880
- Statistical and Nonlinear Physics 333
- Psychiatry and Mental health 236
- Computer Networks and Communications 211
Countries citing papers authored by Piotr Suffczyński
This map shows the geographic impact of Piotr Suffczyński'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 Piotr Suffczyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Suffczyński more than expected).
Fields of papers citing papers by Piotr Suffczyński
This network shows the impact of papers produced by Piotr Suffczyński. 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 Piotr Suffczyński. The network helps show where Piotr Suffczyński may publish in the future.
Co-authorship network of co-authors of Piotr Suffczyński
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Suffczyński. A scholar is included among the top collaborators of Piotr Suffczyński 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 Piotr Suffczyński. Piotr Suffczyński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 38 | |
| 7 | 7 | |
| 8 | 42 | |
| 9 | 71 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 63 | |
| 13 | 34 | |
| 14 | 24 | |
| 15 | Epileptic transitions: model predictions and experimental validation. | 42 |
| 16 | Bistability in epileptic phenomena | 0 |
| 17 | 14 | |
| 18 | 82 | |
| 19 | 194 | |
| 20 | 342 |
About Piotr Suffczyński
Piotr Suffczyński is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (33 papers), Neuroscience and Neuropharmacology Research (15 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (880 citations) and Statistical and Nonlinear Physics (333 citations). Piotr Suffczyński has collaborated with scholars based in Poland, Netherlands and Germany. Frequent co-authors include Stiliyan Kalitzin, W. Blanes, F.H. Lopes Da Silva, Fernando Lopes da Silva, J. Parra, D.N. Velis, Jaime Parra, Demetrios N. Velis, J.P. Pijn and Cornelis J. Stam. Their work appears in journals such as PLoS ONE, Proceedings of the IEEE and Journal of Neurophysiology.
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.