Karsten Keller
Impact in
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- Chaos control and synchronization
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
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- Chaos control and synchronization 25
- Co-authors
- Mathieu SinnAnton M. UnakafovJosé M. AmigóHeinz LaufferA. PlastinoOsvaldo A. RossoA. FigliolaM.T. Martín
- Journals
- The European Physical Journal Special Topics (3 papers)Physica D Nonlinear Phenomena (3 papers)Discrete and Continuous Dynamical Systems (3 papers)Computational Statistics & Data Analysis (2 papers)Nonlinearity (2 papers)
- Partner nations
- GermanyUnited StatesUkraine
In The Last Decade
Karsten Keller
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Statistical and Nonlinear Physics 452
- Signal Processing 219
- Economics and Econometrics 443
- Cognitive Neuroscience 297
- Mathematical Physics 120
Countries citing papers authored by Karsten Keller
This map shows the geographic impact of Karsten Keller'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 Karsten Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Keller more than expected).
Fields of papers citing papers by Karsten Keller
This network shows the impact of papers produced by Karsten Keller. 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 Karsten Keller. The network helps show where Karsten Keller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karsten Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | New Approaches in Ordinal Pattern Representations for Multivariate Time Series. | 2020 | 4 |
| 3 | 2019 | 11 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 7 | |
| 6 | 2013 | 11 | |
| 7 | 2013 | 55 | |
| 8 | 2013 | 55 | |
| 9 | 2012 | 16 | |
| 10 | 2012 | 11 | |
| 11 | 2011 | 22 | |
| 12 | 2009 | 15 | |
| 13 | Continuous selective high gradient magnetic bio separation using novel rotating matrix centrifugation | 2008 | 4 |
| 14 | 2006 | 160 | |
| 15 | 2005 | 1 | |
| 16 | 2004 | 37 | |
| 17 | 2001 | 61 | |
| 18 | 1994 | 3 | |
| 19 | 1993 | 9 | |
| 20 | 1982 | 2 |
About Karsten Keller
Karsten Keller is a scholar working on Statistical and Nonlinear Physics, Computational Mathematics, Mathematical Physics, Molecular Medicine and Signal Processing, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chaos control and synchronization (25 papers), Complex Systems and Time Series Analysis (19 papers), Mathematical Dynamics and Fractals (13 papers), Neural Networks and Applications (9 papers), Fractal and DNA sequence analysis (8 papers), Hydrogels: synthesis, properties, applications (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (452 citations), Signal Processing (219 citations), Economics and Econometrics (443 citations), Cognitive Neuroscience (297 citations) and Mathematical Physics (120 citations). Karsten Keller has collaborated with scholars based in Germany, United States and Ukraine. Frequent co-authors include Mathieu Sinn, Anton M. Unakafov, José M. Amigó, Heinz Lauffer, A. Plastino, Osvaldo A. Rosso, A. Figliola, M.T. Martín, Katharina Wittfeld and Thomas Wallmersperger. Their work appears in journals such as The European Physical Journal Special Topics, Physica D Nonlinear Phenomena, Discrete and Continuous Dynamical Systems, Computational Statistics & Data Analysis and Nonlinearity.
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.