Markus Müller

2.4k citations
84 papers · 1.7k · h-index 26

Impact in

Papers in

Markus Müller

81 papers receiving 1.6k citations

Peers

Markus Müller
Comparison fields: 5 of 134
  • Statistical and Nonlinear Physics 531
  • Cognitive Neuroscience 446
  • Atomic and Molecular Physics, and Optics 494
  • Signal Processing 105
  • Computer Networks and Communications 135
Replace Pedro Bernaola‐Galván with:
Pedro Bernaola‐Galván Spain
Eckehard Olbrich Germany
Govindan Rangarajan India
Paul So United States
C. Vidal France
Alvin Shrier Canada
H. G. Schuster Germany
Shunsuke Sato Japan
A. Babloyantz Belgium
Olga Sosnovtseva Russia
Markus Müller relative to Pedro Bernaola‐Galván Spain Pedro Bernaola‐Galván's profile →
Citations per field
00.5×4.3×
Pedro Bernaola‐Galván · 1×
Citations per year

Countries citing papers authored by Markus Müller

Since Specialization
Citations

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

Fields of papers citing papers by Markus Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 1999112
3 200588
4 200878
5 201171
6 199869
7 199566
8 199963
9 201057
10 201746
11 200146
12 199937
13 201537
14 201035
15 200634
16 199328
17 200828
18 200927
19 199727
20 200726

About Markus Müller

Markus Müller is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Economics and Econometrics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Complex Systems and Time Series Analysis (21 papers), Quantum chaos and dynamical systems (20 papers), Nonlinear Dynamics and Pattern Formation (18 papers), Cold Atom Physics and Bose-Einstein Condensates (12 papers), Functional Brain Connectivity Studies (11 papers), Chaos control and synchronization (10 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (531 citations), Cognitive Neuroscience (446 citations), Atomic and Molecular Physics, and Optics (494 citations), Signal Processing (105 citations) and Computer Networks and Communications (135 citations). Markus Müller has collaborated with scholars based in Mexico, Germany and Switzerland. Frequent co-authors include I. Rotter, Gerold Baier, Christian Rummel, Kaspar Schindler, W. D. Heiss, Gerhard Frey, Ulrich Stephani, Hiltrud Muhle, Andreas Galka and C. Jung. Their work appears in journals such as PLoS ONE, Physics Letters A, Physical Review A, Chaos An Interdisciplinary Journal of Nonlinear Science and The Journal of Chemical 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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