Evi Kopelowitz
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Nonlinear Dynamics and Pattern Formation 7
- Neural Networks Stability and Synchronization 2
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- Chaos control and synchronization 5
- Co-authors
- Ido Kanter (9 shared papers)Wolfgang Kinzel (7 shared papers)Rajesh Poddar (1 shared paper)Bence P. Ölveczky (1 shared paper)Ashesh K. Dhawale (1 shared paper)Steffen B. E. Wolff (1 shared paper)M. Rosenbluh (3 shared papers)Lev Khaykovich (3 shared papers)
- Journals
- Physical Review Letters (2 papers)Journal of Statistical Physics (1 paper)eLife (1 paper)Europhysics Letters (EPL) (1 paper)Journal of Neuroscience Methods (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Evi Kopelowitz
11 papers receiving 289 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 133
- Cognitive Neuroscience 127
- Computer Networks and Communications 147
- Acoustics and Ultrasonics 5
- Cellular and Molecular Neuroscience 79
Countries citing papers authored by Evi Kopelowitz
This map shows the geographic impact of Evi Kopelowitz'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 Evi Kopelowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evi Kopelowitz more than expected).
Fields of papers citing papers by Evi Kopelowitz
This network shows the impact of papers produced by Evi Kopelowitz. 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 Evi Kopelowitz. The network helps show where Evi Kopelowitz may publish in the future.
Co-authors
The 17 scholars most cited alongside Evi Kopelowitz, 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 | 2017 | 94 | |
| 2 | 2006 | 58 | |
| 3 | 2008 | 42 | |
| 4 | 2007 | 26 | |
| 5 | 2008 | 21 | |
| 6 | 2007 | 18 | |
| 7 | 2012 | 18 | |
| 8 | 2012 | 11 | |
| 9 | 2011 | 4 | |
| 10 | 2013 | 3 | |
| 11 | Lung Nodules Detection and Segmentation Using 3D Mask-RCNN | 2019 | 1 |
| 12 | 2008 | 0 |
About Evi Kopelowitz
Evi Kopelowitz is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 296 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (7 papers), Chaos control and synchronization (5 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (2 papers), Chaos-based Image/Signal Encryption (2 papers), Neural Networks Stability and Synchronization (2 papers), Visual perception and processing mechanisms (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (133 citations), Cognitive Neuroscience (127 citations), Computer Networks and Communications (147 citations), Acoustics and Ultrasonics (5 citations) and Cellular and Molecular Neuroscience (79 citations). Evi Kopelowitz has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Ido Kanter, Wolfgang Kinzel, Rajesh Poddar, Bence P. Ölveczky, Ashesh K. Dhawale, Steffen B. E. Wolff, M. Rosenbluh, Lev Khaykovich, Einat Klein and Noam Gross. Their work appears in journals such as Physical Review Letters, Journal of Statistical Physics, eLife, Europhysics Letters (EPL) and Journal of Neuroscience Methods.
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.