Markus Abel

19 papers receiving 279 citations

Peers

Markus Abel
Comparison fields: 5 of 58
  • Statistical and Nonlinear Physics 105
  • Computational Mechanics 67
  • Statistics, Probability and Uncertainty 18
  • Computer Networks and Communications 54
  • Global and Planetary Change 32
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Liqian Peng United States
Aditya Nair United States
Panos Stinis United States
N. Pitrone Italy
K. Y. R. Billah United States
Ruilan Tian China
Markus Abel Germany
Brian M. de Silva United States
Christian Lessig Germany
Aiguo Song China
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Citations per year

Countries citing papers authored by Markus Abel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Abel Line = papers co-authored together Markus Abel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199972
2 201135
3 201434
4 201632
5 200927
6 201624
7 200513
8 20209
9 20048
10 20047
11 20166
12 20186
13 20186
14 20115
15 19974
16 20153
17
Closed-loop turbulence control with machine learning methods
20133
18 20151
19 20131
20 20151

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 22 papers that have together received 297 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (7 papers), Fluid Dynamics and Turbulent Flows (4 papers), Aerodynamics and Acoustics in Jet Flows (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Chaos control and synchronization (2 papers), Dielectric materials and actuators (2 papers), Combustion and flame dynamics (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (105 citations), Computational Mechanics (67 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, Henning U. Voss, Paul Kolodner, Marc Segond, Matthias Kollosche, Guggi Kofod, Jean-Paul Bonnet, Bernd R. Noack and Vladimir Parezanović. Their work appears in journals such as Physical Review Letters, International Journal of Bifurcation and Chaos, The Journal of the Acoustical Society of America, Review of Scientific Instruments and Flow Turbulence and Combustion.

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.

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