T. Schimming

484 citations
30 papers · 359 · h-index 9

Impact in

Papers in

T. Schimming

26 papers receiving 324 citations

Peers

T. Schimming
Comparison fields: 5 of 24
  • Statistical and Nonlinear Physics 312
  • Computer Vision and Pattern Recognition 206
  • Computational Theory and Mathematics 154
  • Computer Networks and Communications 117
  • Mathematical Physics 21
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Citations per year

Countries citing papers authored by T. Schimming

Since Specialization
Citations

This map shows the geographic impact of T. Schimming'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 T. Schimming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Schimming more than expected).

Fields of papers citing papers by T. Schimming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside T. Schimming, 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 T. Schimming Line = papers co-authored together T. Schimming links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200073
2 200137
3 200137
4 200034
5 200233
6 200129
7 200621
8 200316
9 199810
10
Minimum distance properties of coded modulations based on iterated chaotic maps
20038
11 20037
12
Statistically motivated detection methods for chaos shift keying
19997
13 19986
14
Separating a chaotic signal from noise and applications
19996
15 20026
16
How to repair CSK using small perturbation control - Case study and performance analysis
20034
17
Constrained and unconstrained noise reduction on chaotic trajectories
19994
18
Comparison of different chaos shift keying methods
20013
19 20053
20
Phase modulated ergodic chaos shift keying
20013

About T. Schimming

T. Schimming is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, having authored 30 papers that have together received 359 indexed citations. Recurring topics across this work include Chaos control and synchronization (21 papers), Chaos-based Image/Signal Encryption (13 papers), Cellular Automata and Applications (13 papers), Neural Networks and Applications (10 papers), Fractal and DNA sequence analysis (7 papers), Nonlinear Dynamics and Pattern Formation (1 paper), Neural Networks Stability and Synchronization (1 paper) and Advanced Wireless Communication Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (312 citations), Computer Vision and Pattern Recognition (206 citations), Computational Theory and Mathematics (154 citations), Computer Networks and Communications (117 citations) and Mathematical Physics (21 citations). T. Schimming has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include M. Hasler, Martin Hasler, H. Dedieu, Wolfgang Schwarz, Marco Götz, O. De Feo, Federico Bizzarri and Maciej Ogorzałek. Their work appears in journals such as International Journal of Bifurcation and Chaos, Proceedings of the IEEE, INFM-OAR (INFN Catania), The International Journal of Applied Radiation and Isotopes and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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