Mario Markus

2.5k total citations
67 papers, 1.7k citations indexed

About

Mario Markus is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Mario Markus has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 24 papers in Statistical and Nonlinear Physics and 9 papers in Molecular Biology. Recurrent topics in Mario Markus's work include Nonlinear Dynamics and Pattern Formation (31 papers), Chaos control and synchronization (11 papers) and stochastic dynamics and bifurcation (9 papers). Mario Markus is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (31 papers), Chaos control and synchronization (11 papers) and stochastic dynamics and bifurcation (9 papers). Mario Markus collaborates with scholars based in Germany, Chile and Spain. Mario Markus's co-authors include Benno Hess, Malte Schmick, Eric Goles, Hans G. Othmer, Arun V. Holden, Stefan C. Müller, G. Nìcolis, Dietrich Kuschmitz, O. Schulz and Alberto P. Muñuzuri and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mario Markus

61 papers receiving 1.7k citations

Peers

Mario Markus
Comparison fields: 5 of 144
  • Computer Networks and Communications 679
  • Statistical and Nonlinear Physics 518
  • Molecular Biology 332
  • Biomedical Engineering 212
  • Atomic and Molecular Physics, and Optics 191
Replace Rafael A. Barrio with:
Rafael A. Barrio Mexico
J. Schnakenberg Germany
Alberto P. Muñuzuri Spain
Cyrill B. Muratov United States
B. I. Henry Australia
Silvina Ponce Dawson Argentina
Tasso J. Kaper United States
Oreste Piro Spain
W. Govaerts Belgium
V. N. Biktashev United Kingdom
Rafael A. Barrio Mexico View profile →
Citations per field, relative to Mario Markus
Mario Markus · 1×
Citations per year, relative to Mario Markus
Mario Markus · 1×

Countries citing papers authored by Mario Markus

Since Specialization
Citations

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

Fields of papers citing papers by Mario Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Markus

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Markus. A scholar is included among the top collaborators of Mario Markus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Markus. Mario Markus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 11
3 3
4 96
5 2
6 1
7 24
8
0
9 4
10
Prey population cycles are stable in an evolutionary model if and only if their periods are prime
1
11 3
12 2
13 387
14 4
15 40
16 3
17 2
18 8
19 65
20 27

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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