Mads Ipsen

17 papers receiving 538 citations

Peers

Mads Ipsen
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 198
  • Computer Networks and Communications 247
  • Condensed Matter Physics 56
  • Atomic and Molecular Physics, and Optics 122
  • Materials Chemistry 121
Replace Hidetsugu Sakaguchi with:
Hidetsugu Sakaguchi Japan
Eugene Mihaliuk United States
Luca Donetti Spain
Chang Su Ryu South Korea
Stéphane Métens Belgium
Michael Pollmann Germany
Hie‐Tae Moon South Korea
Holokx A. Albuquerque Brazil
Christina Schenk Spain
R. Castanedo Pérez Mexico
Mads Ipsen relative to Hidetsugu Sakaguchi Japan Hidetsugu Sakaguchi's profile →
Citations per field
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Hidetsugu Sakaguchi · 1×
Citations per year

Countries citing papers authored by Mads Ipsen

Since Specialization
Citations

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

Fields of papers citing papers by Mads Ipsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mads Ipsen, 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 Mads Ipsen Line = papers co-authored together Mads Ipsen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010154
2 200067
3 200264
4 200047
5 200142
6 200134
7 199825
8 200725
9 199721
10 200021
11 200319
12 200217
13 20018
14 20037
15 20046
16 20004
17
On universality in transitions to spatio-temporal chaos
20001

About Mads Ipsen

Mads Ipsen is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Molecular Biology, Condensed Matter Physics and Mathematical Physics, having authored 17 papers that have together received 562 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (9 papers), stochastic dynamics and bifurcation (4 papers), Theoretical and Computational Physics (3 papers), Bioinformatics and Genomic Networks (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Stochastic processes and statistical mechanics (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (198 citations), Computer Networks and Communications (247 citations), Condensed Matter Physics (56 citations), Atomic and Molecular Physics, and Optics (122 citations) and Materials Chemistry (121 citations). Mads Ipsen has collaborated with scholars based in Germany, Denmark and Czechia. Frequent co-authors include Alexander S. Mikhailov, P. G. Sørensen, F. Hynne, Kurt Stokbro, Søren Smidstrup, Anders Blom, Kristen Kaasbjerg, Dan Petersen, Preben Graae Sørensen and Lorenz Kramer. Their work appears in journals such as Physical Review Letters, Physica D Nonlinear Phenomena, Chaos An Interdisciplinary Journal of Nonlinear Science, Physics Reports and International Journal of Bifurcation and Chaos.

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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