Markus Bär

92 papers receiving 4.3k citations

Markus Bär's Hit Papers

Fluid Dynamics of Bacterial Turbulence 2013 · 466 citations
4660+4+9Years since publication250500750

Peers

Markus Bär
Comparison fields: 5 of 66
  • Condensed Matter Physics 1.4k
  • Computer Networks and Communications 862
  • Statistical and Nonlinear Physics 217
  • Computational Mechanics 261
  • Modeling and Simulation 46
Replace Markus Bär with:
Markus Bär Germany
Fernando Peruani France
Lev Truskinovsky France
Mario Markus Germany
M. Eiswirth Germany
Yasumasa Nishiura Japan
Laureano Ramírez-Piscina Spain
Guillaume Grégoire France
Rodolfo Cuerno Spain
Jorge Viñals United States
Markus Bär relative to Markus Bär Germany Markus Bär's profile →
Citations per field
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Markus Bär · 1×
Citations per year

Countries citing papers authored by Markus Bär

Since Specialization
Citations

This map shows the geographic impact of Markus Bär'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 Bär with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Bär more than expected).

Fields of papers citing papers by Markus Bär

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Bär. 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 Bär. The network helps show where Markus Bär may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Bär, 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 Bär Line = papers co-authored together Markus Bär links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Active Brownian particles
Hit paper breakdown →
2012919
2
Fluid Dynamics of Bacterial Turbulence
Hit paper breakdown →
2013466
3 2019216
4 2003129
5 2008126
6 201487
7 201384
8 202082
9 201677
10 200475
11 199973
12 199772
13 200567
14 199966
15 200266
16 200266
17 201866
18 200463
19 201362
20 200059

About Markus Bär

Markus Bär is a scholar working on Computer Networks and Communications, Condensed Matter Physics, Cardiology and Cardiovascular Medicine, Computational Mechanics and Biomedical Engineering, having authored 92 papers that have together received 4.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (41 papers), Micro and Nano Robotics (18 papers), Cardiac electrophysiology and arrhythmias (6 papers), Fluid Dynamics and Thin Films (4 papers), Slime Mold and Myxomycetes Research (4 papers), Lipid Membrane Structure and Behavior (3 papers), Flow Measurement and Analysis (2 papers) and Phase Equilibria and Thermodynamics (1 paper). The work is most often cited by research in Condensed Matter Physics (1.4k citations), Computer Networks and Communications (862 citations), Statistical and Nonlinear Physics (217 citations), Computational Mechanics (261 citations) and Modeling and Simulation (46 citations). Markus Bär has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Lutz Schimansky-Geier, Sebastian Heidenreich, Paweł Romańczuk, W. Ebeling, Benjamin Lindner, Sergio Alonso, Lutz Brusch, Fernando Peruani, Jörn Dunkel and Uwe Thiele. Their work appears in journals such as Physical Review Letters, The European Physical Journal Special Topics, Physical review. E, Chaos An Interdisciplinary Journal of Nonlinear Science and New Journal of Physics.

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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