Mario Markus
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Quantum chaos and dynamical systems
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Nonlinear Dynamics and Pattern Formation 31
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- Chaos control and synchronization 11
- stochastic dynamics and bifurcation 9
- Quantum chaos and dynamical systems 8
- Co-authors
- Benno Hess (12 shared papers)Malte Schmick (10 shared papers)Eric Goles (4 shared papers)Hans G. Othmer (1 shared paper)Arun V. Holden (1 shared paper)Stefan C. Müller (2 shared papers)G. Nìcolis (1 shared paper)Dietrich Kuschmitz (2 shared papers)
In The Last Decade
Mario Markus
61 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 143
- Statistical and Nonlinear Physics 516
- Computer Networks and Communications 680
- Modeling and Simulation 54
- Condensed Matter Physics 139
- Computational Theory and Mathematics 139
Countries citing papers authored by Mario Markus
This map shows the geographic impact of Mario Markus'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 Mario Markus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Markus more than expected).
Fields of papers citing papers by Mario Markus
This network shows the impact of papers produced by Mario Markus. 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 Mario Markus. The network helps show where Mario Markus may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Markus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 387 | |
| 2 | 1990 | 154 | |
| 3 | 1991 | 145 | |
| 4 | 1988 | 97 | |
| 5 | 2007 | 96 | |
| 6 | 1992 | 76 | |
| 7 | 1994 | 66 | |
| 8 | 1984 | 58 | |
| 9 | 1984 | 52 | |
| 10 | 1999 | 40 | |
| 11 | 1997 | 40 | |
| 12 | 1989 | 31 | |
| 13 | 1996 | 30 | |
| 14 | 2000 | 30 | |
| 15 | 2001 | 28 | |
| 16 | 1989 | 28 | |
| 17 | 1987 | 28 | |
| 18 | 1979 | 27 | |
| 19 | 1985 | 26 | |
| 20 | 2006 | 24 |
About Mario Markus
Mario Markus is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Molecular Biology, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (31 papers), Chaos control and synchronization (11 papers), stochastic dynamics and bifurcation (9 papers), Quantum chaos and dynamical systems (8 papers), Granular flow and fluidized beds (7 papers), Cellular Automata and Applications (7 papers), Slime Mold and Myxomycetes Research (5 papers) and Mathematical Dynamics and Fractals (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (516 citations), Computer Networks and Communications (680 citations), Modeling and Simulation (54 citations), Condensed Matter Physics (139 citations) and Computational Theory and Mathematics (139 citations). Mario Markus has collaborated with scholars based in Germany, Chile and Spain. Frequent co-authors include Benno Hess, Malte Schmick, Eric Goles, Hans G. Othmer, Arun V. Holden, Stefan C. Müller, G. Nìcolis, Dietrich Kuschmitz, O. Schulz and Alberto P. Muñuzuri. Their work appears in journals such as Physics Letters A, International Journal of Bifurcation and Chaos, Complexity, Nature and Physical Review Letters.
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.