Tomáš Götthans

876 citations
54 papers · 587 · h-index 13

Impact in

Papers in

Tomáš Götthans

52 papers receiving 559 citations

Peers

Tomáš Götthans
Comparison fields: 5 of 48
  • Statistical and Nonlinear Physics 379
  • Computer Networks and Communications 240
  • Computer Vision and Pattern Recognition 96
  • Mathematical Physics 36
  • Modeling and Simulation 16
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Countries citing papers authored by Tomáš Götthans

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Götthans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015130
2 201697
3
Modeling Deterministic Chaos Using Electronic Circuits
201132
4 201632
5 201727
6
Communication Subsystems for Emerging Wireless Technologies
201224
7 201720
8 202019
9 201917
10 202216
11 202016
12
Experimental Study of the Sampled Labyrinth Chaos
201116
13 202114
14 202011
15 201811
16 201710
17 20226
18 20226
19
Chaotic oscillators with single polynomial nonlinearity and digital sampled dynamics
20115
20 20135

About Tomáš Götthans

Tomáš Götthans is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence and Aerospace Engineering, having authored 54 papers that have together received 587 indexed citations. Recurring topics across this work include Chaos control and synchronization (19 papers), Advanced Power Amplifier Design (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Radio Frequency Integrated Circuit Design (11 papers), PAPR reduction in OFDM (9 papers), Quantum chaos and dynamical systems (8 papers), stochastic dynamics and bifurcation (6 papers) and Wireless Communication Networks Research (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (379 citations), Computer Networks and Communications (240 citations), Computer Vision and Pattern Recognition (96 citations), Mathematical Physics (36 citations) and Modeling and Simulation (16 citations). Tomáš Götthans has collaborated with scholars based in Czechia, Austria and Vietnam. Frequent co-authors include Jiří Petržela, J. C. Sprott, Roman Maršálek, Milan Guzan, Sajad Jafari, Jiří Blumenstein, Xiong Wang, Markus Rupp, Viet–Thanh Pham and Christos Volos. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Sensors, International Journal of Bifurcation and Chaos, Applied Sciences and Electronics.

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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