Marco Götz
Impact in
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- Probabilistic and Robust Engineering Design
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- Chaos control and synchronization
- Quantum chaos and dynamical systems
Papers in
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- Probabilistic and Robust Engineering Design 8
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- Structural Health Monitoring Techniques 4
- Co-authors
- Wolfgang Schwarz (8 shared papers)Wolfgang Graf (10 shared papers)Michael Kaliske (10 shared papers)Andreas Abel (4 shared papers)Ian R. Whittle (1 shared paper)T. Schimming (1 shared paper)Patrick Statham (1 shared paper)P. Bramley (1 shared paper)
- Journals
- Advances in Engineering Software (2 papers)Structural Safety (1 paper)Acta Neurochirurgica (1 paper)GAMM-Mitteilungen (1 paper)Computer Modeling in Engineering & Sciences (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Marco Götz
20 papers receiving 334 citations
Peers
Comparison fields: 5 of 54
- Statistics, Probability and Uncertainty 106
- Statistical and Nonlinear Physics 147
- Computer Vision and Pattern Recognition 127
- Computational Theory and Mathematics 91
- Civil and Structural Engineering 86
Countries citing papers authored by Marco Götz
This map shows the geographic impact of Marco Götz'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 Marco Götz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Götz more than expected).
Fields of papers citing papers by Marco Götz
This network shows the impact of papers produced by Marco Götz. 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 Marco Götz. The network helps show where Marco Götz may publish in the future.
Co-authors
The 17 scholars most cited alongside Marco Götz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 96 | |
| 2 | 2014 | 52 | |
| 3 | 2000 | 33 | |
| 4 | 2015 | 32 | |
| 5 | 1993 | 29 | |
| 6 | 2019 | 17 | |
| 7 | 2005 | 14 | |
| 8 | 2002 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 1998 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2002 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2018 | 5 | |
| 15 | 2002 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2002 | 3 | |
| 18 | 2012 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2002 | 1 |
About Marco Götz
Marco Götz is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 21 papers that have together received 353 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (8 papers), Chaos control and synchronization (4 papers), Structural Health Monitoring Techniques (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Chaos-based Image/Signal Encryption (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Quantum chaos and dynamical systems (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (106 citations), Statistical and Nonlinear Physics (147 citations), Computer Vision and Pattern Recognition (127 citations), Computational Theory and Mathematics (91 citations) and Civil and Structural Engineering (86 citations). Marco Götz has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Wolfgang Schwarz, Wolfgang Graf, Michael Kaliske, Andreas Abel, Ian R. Whittle, T. Schimming, Patrick Statham, P. Bramley, F. Dachselt and Dietmar Hömberg. Their work appears in journals such as Advances in Engineering Software, Structural Safety, Acta Neurochirurgica, GAMM-Mitteilungen and Computer Modeling in Engineering & Sciences.
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.