Martin Krupa
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 1%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Geometry and Topology top 2%
- Co-authors
- Peter SzmolyanIan MelbourneMathieu DesrochesNikola PopovićMartin WechselbergerNancy KopellMartin GolubitskyStephan A. van Gils
- Topics
- Nonlinear Dynamics and Pattern Formation (31 papers)stochastic dynamics and bifurcation (20 papers)Quantum chaos and dynamical systems (9 papers)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Martin Krupa
63 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 123
- Statistical and Nonlinear Physics 1.4k
- Computer Networks and Communications 1.3k
- Cognitive Neuroscience 358
- Molecular Biology 326
- Geometry and Topology 326
Countries citing papers authored by Martin Krupa
This map shows the geographic impact of Martin Krupa'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 Martin Krupa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Krupa more than expected).
Fields of papers citing papers by Martin Krupa
This network shows the impact of papers produced by Martin Krupa. 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 Martin Krupa. The network helps show where Martin Krupa may publish in the future.
Co-authorship network of co-authors of Martin Krupa
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Krupa. A scholar is included among the top collaborators of Martin Krupa 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 Martin Krupa. Martin Krupa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 30 | |
| 3 | 29 | |
| 4 | 25 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 21 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | Wpływ pola magnetycznego I wody uzdatnianej magnetycznie na wybrane cechy morfologiczne I skład chemiczny siewek słonecznika (Hellanthus annuus L.) | 0 |
| 11 | 34 | |
| 12 | 35 | |
| 13 | 25 | |
| 14 | 10 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | Light-induced changes in stem circumnutations and electrical potential in Helianthus annuus L. | 1 |
| 18 | Are lunar rhythms a 'zeitgraber' for circumnutations in sunflower plants [Helianthus annuus] | 2 |
| 19 | 352 | |
| 20 | 82 |
About Martin Krupa
Martin Krupa is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Physiology, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (31 papers), stochastic dynamics and bifurcation (20 papers) and Quantum chaos and dynamical systems (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Computer Networks and Communications (1.3k citations) and Geometry and Topology (326 citations). Martin Krupa has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Peter Szmolyan, Ian Melbourne, Mathieu Desroches, Nikola Popović, Martin Wechselberger, Nancy Kopell, Martin Golubitsky, Stephan A. van Gils, Tasso J. Kaper and D. G. Aronson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.