Michael Šebek

2.5k citations
191 papers · 1.8k · h-index 19

Impact in

    • Numerical methods for differential equations
    • Stability and Control of Uncertain Systems
    • Advanced Control Systems Optimization
    • Control Systems and Identification
    • Adaptive Control of Nonlinear Systems

Papers in

Michael Šebek

176 papers receiving 1.7k citations

Peers

Michael Šebek
Comparison fields: 5 of 119
  • Numerical Analysis 256
  • Control and Systems Engineering 983
  • Computational Theory and Mathematics 323
  • Statistical and Nonlinear Physics 200
  • Computer Networks and Communications 325
Replace Yiheng Wei with:
Yiheng Wei China
Takao Watanabe Japan
Xingwen Liu China
H. Hammouri France
Siddhartha Sen India
Jihui Zhang China
Yufan Zheng China
Chuanxi Zhu China
Yuxia Li China
Michael Šebek relative to Yiheng Wei China Yiheng Wei's profile →
Citations per field
00.5×3.7×
Yiheng Wei · 1×
Citations per year

Countries citing papers authored by Michael Šebek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Šebek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003151
2 200572
3 199462
4 201545
5 201440
6 201739
7 200339
8 198439
9 201737
10 199936
11 201835
12 200135
13 200134
14 202231
15
The polynomial toolbox for matlab
199731
16 200331
17 201329
18 201226
19 198521
20 199918

About Michael Šebek

Michael Šebek is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Numerical Analysis, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 191 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (36 papers), Numerical methods for differential equations (33 papers), Matrix Theory and Algorithms (28 papers), Nonlinear Dynamics and Pattern Formation (27 papers), Advanced Control Systems Optimization (25 papers), Control Systems and Identification (22 papers), Distributed Control Multi-Agent Systems (20 papers) and Traffic control and management (15 papers). The work is most often cited by research in Numerical Analysis (256 citations), Control and Systems Engineering (983 citations), Computational Theory and Mathematics (323 citations), Statistical and Nonlinear Physics (200 citations) and Computer Networks and Communications (325 citations). Michael Šebek has collaborated with scholars based in Czechia, France and United States. Frequent co-authors include Didier Henrion, V. Kučera, István Z. Kiss, H. Kwakernaak, Kristian Hengster‐Movric, Ivo Herman, Zdeněk Hurák, Norbert Steinfeldt, Sergej Čelikovský and Frank L. Lewis. Their work appears in journals such as IEEE Transactions on Automatic Control, Kybernetika, Automatica, International Journal of Control and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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