Thomas Aschenbrenner

452 citations
10 papers · 347 indexed · h-index 8
Topics
Chaos control and synchronization (6 papers)Neural Networks and Applications (4 papers)Complex Systems and Time Series Analysis (3 papers)
Partner nations
GermanySpain

In The Last Decade

Thomas Aschenbrenner

10 papers receiving 335 citations

Peers

Thomas Aschenbrenner
Comparison fields: 5 of 75
  • Biophysics 109
  • Molecular Biology 102
  • Statistical and Nonlinear Physics 63
  • Economics and Econometrics 60
  • Analytical Chemistry 54
Replace Jeremy G. Hoskins with:
Jeremy G. Hoskins United States
Daniel Kaschek Germany
Prabhakar Pradhan United States
Kwonmoo Lee United States
Alessandro Filisetti Italy
Theodore G. Papazoglou Greece
Michael Chein Israel
Keyvan Jaferzadeh South Korea
Neal S. Holter United States
David B. Brückner Germany
Thomas Aschenbrenner relative to Jeremy G. Hoskins United States Jeremy G. Hoskins's profile →
Citations per field
00.5×10×20×30×
Jeremy G. Hoskins · 1×
Citations per year

Countries citing papers authored by Thomas Aschenbrenner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Aschenbrenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Aschenbrenner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Aschenbrenner. A scholar is included among the top collaborators of Thomas Aschenbrenner 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 Thomas Aschenbrenner. Thomas Aschenbrenner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 60
2 10
3 16
4 15
5 2
6 2
7 131
8 42
9 34
10 35

About Thomas Aschenbrenner

Thomas Aschenbrenner is a scholar working on Statistical and Nonlinear Physics, Biophysics and Signal Processing, having authored 10 papers that have together received 347 indexed citations. Recurring topics across this work include Chaos control and synchronization (6 papers), Neural Networks and Applications (4 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Biophysics (109 citations), Analytical Chemistry (54 citations) and Statistical and Nonlinear Physics (63 citations). Thomas Aschenbrenner has collaborated with scholars based in Germany and Spain. Frequent co-authors include Roberto Monetti, Wolfram Bunk, Ferdinand Jamitzky, Jürgen Schlegel, José M. Amigó, Robert W. Stark, G. E. Morfill, Alexander M. Gigler, W. Bunk and Friederike Liesche‐Starnecker. Their work appears in journals such as Biophysical Journal, Information Sciences and Frontiers in Oncology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026