Marzena Ciszak
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Plant Science top 10%
- Cognitive Neuroscience top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Francesco MarinoF. T. ArecchiRaúl ToralCláudio R. MirassoO. CalvoStefano MancusoR. MeucciCristina Masoller
- Topics
- Nonlinear Dynamics and Pattern Formation (25 papers)stochastic dynamics and bifurcation (24 papers)Neural dynamics and brain function (20 papers)
In The Last Decade
Marzena Ciszak
43 papers receiving 709 citations
Peers
Comparison fields: 5 of 77
- Statistical and Nonlinear Physics 377
- Computer Networks and Communications 348
- Plant Science 184
- Cognitive Neuroscience 178
- Atomic and Molecular Physics, and Optics 85
Countries citing papers authored by Marzena Ciszak
This map shows the geographic impact of Marzena Ciszak'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 Marzena Ciszak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marzena Ciszak more than expected).
Fields of papers citing papers by Marzena Ciszak
This network shows the impact of papers produced by Marzena Ciszak. 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 Marzena Ciszak. The network helps show where Marzena Ciszak may publish in the future.
Co-authorship network of co-authors of Marzena Ciszak
This figure shows the co-authorship network connecting the top 25 collaborators of Marzena Ciszak. A scholar is included among the top collaborators of Marzena Ciszak 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 Marzena Ciszak. Marzena Ciszak 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 | 6 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 20 | |
| 12 | 34 | |
| 13 | 8 | |
| 14 | 43 | |
| 15 | 21 | |
| 16 | Electrical Network Activity in Plant Roots under Gravity-Changing Conditions | 2 |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 48 | |
| 20 | 76 |
About Marzena Ciszak
Marzena Ciszak is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 45 papers that have together received 733 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (25 papers), stochastic dynamics and bifurcation (24 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (377 citations), Computer Networks and Communications (348 citations) and Cognitive Neuroscience (178 citations). Marzena Ciszak has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Francesco Marino, F. T. Arecchi, Raúl Toral, Cláudio R. Mirasso, O. Calvo, Stefano Mancuso, R. Meucci, Cristina Masoller, Elisa Masi and František Baluška. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.
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.