Markus Brede

1.8k citations
78 papers · 1.2k · h-index 17

Impact in

Papers in

Markus Brede

70 papers receiving 1.1k citations

Peers

Markus Brede
Comparison fields: 5 of 129
  • Statistical and Nonlinear Physics 277
  • Cognitive Neuroscience 145
  • Applied Psychology 34
  • Computer Networks and Communications 172
  • Experimental and Cognitive Psychology 87
Replace Seth Bullock with:
Seth Bullock United Kingdom
Massimo Stella Italy
Richard P. Mann United Kingdom
Ralf H. J. M. Kurvers Germany
Kameron Decker Harris United States
Stefan Krause Germany
Lewis Mitchell Australia
Rebecca C. Tyson Canada
Albert B. Kao United States
Arend Hintze United States
Markus Brede relative to Seth Bullock United Kingdom Seth Bullock's profile →
Citations per field
00.5×2×4×6.8×
Seth Bullock · 1×
Citations per year

Countries citing papers authored by Markus Brede

Since Specialization
Citations

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

Fields of papers citing papers by Markus Brede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201791
3 201290
4 200771
5 201869
6 201767
7 200456
8 200847
9 201842
10 200938
11 200236
12 202129
13 201326
14 201524
15 201622
16 201722
17 201620
18 201017
19 200316
20 201916

About Markus Brede

Markus Brede is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Safety Research, Sociology and Political Science and Computer Networks and Communications, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (24 papers), Complex Network Analysis Techniques (23 papers), Evolutionary Game Theory and Cooperation (16 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Game Theory and Applications (10 papers), Experimental Behavioral Economics Studies (8 papers), Evolution and Genetic Dynamics (8 papers) and Neural Networks Stability and Synchronization (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (277 citations), Cognitive Neuroscience (145 citations), Applied Psychology (34 citations), Computer Networks and Communications (172 citations) and Experimental and Cognitive Psychology (87 citations). Markus Brede has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Massimo Stella, Nicole Beckage, Emmanouil Mentzakis, Antonella Ianni, Tao Wang, Jun Tanimoto, Bert J. M. de Vries, Alexander C. Kalloniatis, Manlio De Domenico and Richard A. R. Watson. Their work appears in journals such as PLoS ONE, Physics Letters A, Scientific Reports, Physical review. E and Ecological Complexity.

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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