Tilo Schwalger

943 citations
35 papers · 626 · h-index 14

Impact in

Papers in

Tilo Schwalger

31 papers receiving 616 citations

Peers

Tilo Schwalger
Comparison fields: 5 of 54
  • Statistical and Nonlinear Physics 436
  • Cognitive Neuroscience 525
  • Cellular and Molecular Neuroscience 182
  • Computer Networks and Communications 172
  • Sensory Systems 11
Replace Aaditya V. Rangan with:
Aaditya V. Rangan United States
Jun-nosuke Teramae Japan
Zachary P. Kilpatrick United States
Pulin Gong Australia
Toshio Aoyagi Japan
Claude Meunier France
A. N. Burkitt Australia
Maksim Bazhenov United States
Thomas Petermann Switzerland
Hatsuo Hayashi Japan
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Citations per field
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Aaditya V. Rangan · 1×
Citations per year

Countries citing papers authored by Tilo Schwalger

Since Specialization
Citations

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

Fields of papers citing papers by Tilo Schwalger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 201061
3 201249
4 201547
5 201540
6 201937
7 200837
8 201332
9 201429
10 202124
11 201318
12 201114
13 201514
14 201014
15 201313
16 202013
17 201512
18 201212
19 200811
20 200710

About Tilo Schwalger

Tilo Schwalger is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 35 papers that have together received 626 indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), stochastic dynamics and bifurcation (24 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Neuroscience and Neuropharmacology Research (5 papers), Advanced Memory and Neural Computing (5 papers), Photoreceptor and optogenetics research (3 papers), Memory and Neural Mechanisms (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (436 citations), Cognitive Neuroscience (525 citations), Cellular and Molecular Neuroscience (182 citations), Computer Networks and Communications (172 citations) and Sensory Systems (11 citations). Tilo Schwalger has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Benjamin Lindner, Wulfram Gerstner, Moritz Deger, Jan Benda, Lutz Schimansky-Geier, Andreas V. M. Herz, Bastian Pietras, Richard Naud, Rodrigo Quian Quiroga and LieJune Shiau. Their work appears in journals such as PLoS Computational Biology, BMC Neuroscience, Journal of Computational Neuroscience, The European Physical Journal Special Topics and SIAM Journal on Applied Dynamical Systems.

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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