Markus Abel
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
Papers in
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- Nonlinear Dynamics and Pattern Formation 7
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- Chaos control and synchronization 2
- Co-authors
- Jürgen Kurths (2 shared papers)Karsten Ahnert (3 shared papers)Paul Kolodner (1 shared paper)Henning U. Voss (1 shared paper)Matthias Kollosche (1 shared paper)Guggi Kofod (1 shared paper)Laurent Cordier (4 shared papers)Bernd R. Noack (6 shared papers)
- Journals
- Physical Review Letters (3 papers)Flow Turbulence and Combustion (1 paper)International Journal of Bifurcation and Chaos (1 paper)Journal of Materials Chemistry (1 paper)Physica D Nonlinear Phenomena (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Markus Abel
19 papers receiving 276 citations
Peers
Comparison fields: 5 of 58
- Statistical and Nonlinear Physics 105
- Computational Mechanics 66
- Statistics, Probability and Uncertainty 18
- Computer Networks and Communications 54
- Global and Planetary Change 32
Countries citing papers authored by Markus Abel
This map shows the geographic impact of Markus Abel'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 Markus Abel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Abel more than expected).
Fields of papers citing papers by Markus Abel
This network shows the impact of papers produced by Markus Abel. 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 Markus Abel. The network helps show where Markus Abel may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Abel, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 72 | |
| 2 | 2014 | 34 | |
| 3 | 2011 | 34 | |
| 4 | 2016 | 32 | |
| 5 | 2009 | 27 | |
| 6 | 2016 | 24 | |
| 7 | 2005 | 13 | |
| 8 | 2020 | 8 | |
| 9 | 2004 | 8 | |
| 10 | 2004 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2011 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 1997 | 4 | |
| 16 | Closed-loop turbulence control with machine learning methods | 2013 | 3 |
| 17 | 2015 | 3 | |
| 18 | 2015 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2015 | 1 |
About Markus Abel
Markus Abel is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Mechanics, Biomedical Engineering and Aerospace Engineering, having authored 21 papers that have together received 294 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (7 papers), Fluid Dynamics and Turbulent Flows (4 papers), Meteorological Phenomena and Simulations (2 papers), Combustion and flame dynamics (2 papers), Plasma and Flow Control in Aerodynamics (2 papers), Dielectric materials and actuators (2 papers), Aerodynamics and Acoustics in Jet Flows (2 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (105 citations), Computational Mechanics (66 citations), Statistics, Probability and Uncertainty (18 citations), Computer Networks and Communications (54 citations) and Global and Planetary Change (32 citations). Markus Abel has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Jürgen Kurths, Karsten Ahnert, Paul Kolodner, Henning U. Voss, Matthias Kollosche, Guggi Kofod, Laurent Cordier, Bernd R. Noack, Steven L. Brunton and Jean-Paul Bonnet. Their work appears in journals such as Physical Review Letters, Flow Turbulence and Combustion, International Journal of Bifurcation and Chaos, Journal of Materials Chemistry and Physica D Nonlinear Phenomena.
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.