Gerrit Ansmann

538 citations
12 papers · 391 · h-index 8

Impact in

Papers in

Gerrit Ansmann

12 papers receiving 385 citations

Peers

Gerrit Ansmann
Comparison fields: 5 of 68
  • Statistical and Nonlinear Physics 196
  • Cognitive Neuroscience 172
  • Computer Networks and Communications 173
  • Global and Planetary Change 64
  • Economics and Econometrics 63
Replace Björn Kralemann with:
Björn Kralemann Germany
Lucia Zemanová Germany
L. Romanelli Argentina
Huawei Fan China
Renate Wackerbauer United States
Katalin Štěrbová Czechia
Arnob Ray India
Paul C. Gailey United States
Alexander Rothkegel Germany
Gustavo Zampier dos Santos Lima Brazil
Gerrit Ansmann relative to Björn Kralemann Germany Björn Kralemann's profile →
Citations per field
00.5×3.6×
Björn Kralemann · 1×
Citations per year

Countries citing papers authored by Gerrit Ansmann

Since Specialization
Citations

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

Fields of papers citing papers by Gerrit Ansmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Gerrit Ansmann, 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 Gerrit Ansmann Line = papers co-authored together Gerrit Ansmann links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2013110
2 201382
3 201469
4 201641
5 201528
6 201224
7 201120
8 20177
9
Complexity and irreducibility of dynamics on networks of networks
20185
10 20212
11 20252
12 20241

About Gerrit Ansmann

Gerrit Ansmann is a scholar working on Computer Networks and Communications, Cognitive Neuroscience, Statistical and Nonlinear Physics, Economics and Econometrics and Molecular Biology, having authored 12 papers that have together received 391 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (6 papers), Neural dynamics and brain function (5 papers), Functional Brain Connectivity Studies (3 papers), Chaos control and synchronization (2 papers), Complex Network Analysis Techniques (2 papers), stochastic dynamics and bifurcation (2 papers), Complex Systems and Time Series Analysis (2 papers) and Diverse Scientific and Engineering Research (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (196 citations), Cognitive Neuroscience (172 citations), Computer Networks and Communications (173 citations), Global and Planetary Change (64 citations) and Economics and Econometrics (63 citations). Gerrit Ansmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Klaus Lehnertz, Ulrike Feudel, Rajat Karnatak, Stephan Bialonski, Christian Geier, Henning Dickten, Hölger Kantz, Tobias Bollenbach, Thorsten Rings and Leonardo Rydin Gorjão. Their work appears in journals such as Physical Review X, Physica D Nonlinear Phenomena, PLoS Computational Biology, The European Physical Journal Special Topics and Open Biology.

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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