Philipp Kügler

1.3k citations
45 papers · 919 indexed · h-index 14

Impact in

Papers in

Philipp Kügler

44 papers receiving 887 citations

Peers

Philipp Kügler
Comparison fields: 5 of 133
  • Biochemistry 218
  • Endocrine and Autonomic Systems 65
  • Statistical and Nonlinear Physics 114
  • Mathematical Physics 68
  • Molecular Biology 413
Replace Harold E. Layton with:
Harold E. Layton United States
Markus Kunze Germany
C.D. Thron United States
David White United States
Jimin Zhang China
Juan Zhang China
John L. Stephenson United States
Roberto Festa Italy
Serena Di Santo Italy
Robert Kennedy United States
Philipp Kügler relative to Harold E. Layton United States Harold E. Layton's profile →
Citations per field
00.5×3.9×
Harold E. Layton · 1×
Citations per year

Countries citing papers authored by Philipp Kügler

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Kügler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philipp Kügler, 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 Philipp Kügler Line = papers co-authored together Philipp Kügler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20233
4 20212
5 20193
6 201827
7 201724
8 201629
9 20151
10 20139
11 20134
12 201312
13 20125
14 201116
15 20101
16 20094
17 2009299
18 2008140
19 20047
20 200217

About Philipp Kügler

Philipp Kügler is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty and Biophysics, having authored 45 papers that have together received 919 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (12 papers), Numerical methods in inverse problems (10 papers), stochastic dynamics and bifurcation (9 papers), Gene Regulatory Network Analysis (6 papers), Composite Material Mechanics (4 papers), Ecosystem dynamics and resilience (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Biochemistry (218 citations), Endocrine and Autonomic Systems (65 citations), Statistical and Nonlinear Physics (114 citations), Mathematical Physics (68 citations) and Molecular Biology (413 citations). Philipp Kügler has collaborated with scholars based in Austria, Germany and Russia. Frequent co-authors include Peter Pohl, Sapar M. Saparov, John Mathai, Andreas Missner, Mark L. Zeidel, John K. Lee, Heinz W. Engl, Klaus Sommer, Stefan C. Müller and Christoph Flamm. Their work appears in journals such as PLoS ONE, Inverse Problems, European Journal of Applied Mathematics, Journal of Biological Chemistry and Chaos Solitons & Fractals.

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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