Erik A. Martens

3.4k citations
31 papers · 1.8k indexed · 2 hit papers · h-index 16
Topics
Nonlinear Dynamics and Pattern Formation (21 papers)Slime Mold and Myxomycetes Research (12 papers)Neural dynamics and brain function (11 papers)
Partner nations
GermanyDenmarkSweden

In The Last Decade

Erik A. Martens

28 papers receiving 1.8k citations

Hit Papers

Chimera states in mechanical oscillator networks201320262017202120132022100200300400

Peers

Erik A. Martens
Comparison fields: 5 of 109
  • Computer Networks and Communications 1.3k
  • Biomedical Engineering 616
  • Cognitive Neuroscience 520
  • Statistical and Nonlinear Physics 519
  • Cellular and Molecular Neuroscience 187
Replace David Cai with:
David Cai United States
V. S. Zykov Germany
Diego Pazó Spain
Peter Jung United States
Aneta Koseska Germany
Hermann Riecke United States
Emmanuel M. Drakakis United Kingdom
Alberto P. Muñuzuri Spain
Woodrow L. Shew United States
S. R. Lopes Brazil
Erik A. Martens relative to David Cai United States David Cai's profile →
Citations per field
00.5×4.1×
David Cai · 1×
Citations per year

Countries citing papers authored by Erik A. Martens

Since Specialization
Citations

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

Fields of papers citing papers by Erik A. Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik A. Martens. 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 Erik A. Martens. The network helps show where Erik A. Martens may publish in the future.

Co-authorship network of co-authors of Erik A. Martens

This figure shows the co-authorship network connecting the top 25 collaborators of Erik A. Martens. A scholar is included among the top collaborators of Erik A. Martens 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 Erik A. Martens. Erik A. Martens 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
#WorkIndexed citations
1 1
2 0
3 0
4 10
5 2
6 12
7 0
8 5
9
The glymphatic system: Current understanding and modelingbreakdown →
193
10 5
11 3
12 3
13 28
14 27
15 70
16 72
17 25
18 67
19 227
20 212

About Erik A. Martens

Erik A. Martens is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (21 papers), Slime Mold and Myxomycetes Research (12 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Statistical and Nonlinear Physics (519 citations) and Cognitive Neuroscience (520 citations). Erik A. Martens has collaborated with scholars based in Germany, Denmark and Sweden. Frequent co-authors include Oskar Hallatschek, Shashi Thutupalli, Antoine Fourrière, Steven H. Strogatz, Carlo R. Laing, Christian Bick, Thomas M. Antonsen, Paul So, Edward Ott and Ernest Barreto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Genetics.

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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