Michael Schanz

1.5k citations
52 papers · 1.0k · h-index 20

Impact in

Papers in

Michael Schanz

52 papers receiving 1.0k citations

Peers

Michael Schanz
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 606
  • Geometry and Topology 248
  • Mathematical Physics 252
  • Computer Networks and Communications 304
  • Economics and Econometrics 165
Replace Виктор Аврутин with:
Виктор Аврутин Germany
Christian Mira France
Yu. L. Maistrenko Ukraine
Yoshisuke Ueda Japan
Zhanybai T. Zhusubaliyev Russia
William Ott United States
Piotr Kowalczyk Poland
Sergio Serrano Spain
Michael Field United States
Zhongqian Fu China
Michael Schanz relative to Виктор Аврутин Germany Виктор Аврутин's profile →
Citations per field
00.5×1.5×
Виктор Аврутин · 1×
Citations per year

Countries citing papers authored by Michael Schanz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200674
2 200072
3 200668
4 201060
5 200352
6 200947
7 201046
8 200846
9 201141
10 200734
11 201427
12 199526
13 200324
14 201124
15 199723
16 201222
17 200822
18 199921
19 200420
20 200719

About Michael Schanz

Michael Schanz is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Computer Networks and Communications, Mathematical Physics and Control and Systems Engineering, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chaos control and synchronization (24 papers), Quantum chaos and dynamical systems (23 papers), Advanced Differential Equations and Dynamical Systems (14 papers), Mathematical Dynamics and Fractals (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), CCD and CMOS Imaging Sensors (7 papers), Robotic Path Planning Algorithms (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (606 citations), Geometry and Topology (248 citations), Mathematical Physics (252 citations), Computer Networks and Communications (304 citations) and Economics and Econometrics (165 citations). Michael Schanz has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Виктор Аврутин, Laura Gardini, Axel Pelster, Soumitro Banerjee, B.J. Hosticka, Fabio Tramontana, Iryna Sushko, Jens Starke, Wolfram Just and W. Brockherde. Their work appears in journals such as International Journal of Bifurcation and Chaos, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Nonlinearity, Chaos Solitons & Fractals and Physica D Nonlinear Phenomena.

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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