Einat Klein
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Chaos control and synchronization 6
- stochastic dynamics and bifurcation 2
- Quantum chaos and dynamical systems 1
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- Nonlinear Dynamics and Pattern Formation 4
- Co-authors
- Wolfgang Kinzel (9 shared papers)Ido Kanter (9 shared papers)Lev Khaykovich (3 shared papers)M. Rosenbluh (3 shared papers)Noam Gross (3 shared papers)Evi Kopelowitz (2 shared papers)Michal Rosen‐Zvi (1 shared paper)Andreas Ruttor (1 shared paper)
- Journals
- Physical Review Letters (2 papers)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (1 paper)Neural Information Processing Systems (1 paper)Physical Review E (4 papers)
In The Last Decade
Einat Klein
9 papers receiving 365 citations
Peers
Comparison fields: 5 of 29
- Statistical and Nonlinear Physics 210
- Computer Networks and Communications 220
- Computer Vision and Pattern Recognition 141
- Artificial Intelligence 147
- Acoustics and Ultrasonics 3
Countries citing papers authored by Einat Klein
This map shows the geographic impact of Einat Klein'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 Einat Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Einat Klein more than expected).
Fields of papers citing papers by Einat Klein
This network shows the impact of papers produced by Einat Klein. 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 Einat Klein. The network helps show where Einat Klein may publish in the future.
Co-authors
The 8 scholars most cited alongside Einat Klein, 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 | 2006 | 102 | |
| 2 | 2003 | 62 | |
| 3 | 2006 | 58 | |
| 4 | 2004 | 38 | |
| 5 | 2002 | 37 | |
| 6 | 2005 | 35 | |
| 7 | 2007 | 26 | |
| 8 | Synchronization of neural networks by mutual learning and its application to cryptography | 2004 | 21 |
| 9 | 2005 | 13 |
About Einat Klein
Einat Klein is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 9 papers that have together received 392 indexed citations. Recurring topics across this work include Chaos control and synchronization (6 papers), Neural Networks and Applications (4 papers), Chaos-based Image/Signal Encryption (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers), stochastic dynamics and bifurcation (2 papers), Cellular Automata and Applications (1 paper), Complex Systems and Time Series Analysis (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (210 citations), Computer Networks and Communications (220 citations), Computer Vision and Pattern Recognition (141 citations), Artificial Intelligence (147 citations) and Acoustics and Ultrasonics (3 citations). Einat Klein has collaborated with scholars based in Israel and Germany. Frequent co-authors include Wolfgang Kinzel, Ido Kanter, Lev Khaykovich, M. Rosenbluh, Noam Gross, Evi Kopelowitz, Michal Rosen‐Zvi and Andreas Ruttor. Their work appears in journals such as Physical Review Letters, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, Neural Information Processing Systems and Physical Review E.
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.