Ditza Auerbach
Impact in
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- Chaos control and synchronization
- Quantum chaos and dynamical systems
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
Papers in ⓘ
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- Chaos control and synchronization 7
- Quantum chaos and dynamical systems 5
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- Mathematical Dynamics and Fractals 4
- Co-authors
- Itamar Procaccia (3 shared papers)Predrag Cvitanović (1 shared paper)Gemunu H. Gunaratne (1 shared paper)Jean‐Pierre Eckmann (1 shared paper)James A. Yorke (2 shared papers)Edward Ott (1 shared paper)Celso Grebogi (1 shared paper)Ron Unger (2 shared papers)
- Journals
- Physical Review Letters (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Physical Review A (2 papers)Journal of the Optical Society of America B (1 paper)Physical review. B, Condensed matter (1 paper)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Ditza Auerbach
10 papers receiving 746 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 603
- Computer Networks and Communications 386
- Mathematical Physics 142
- Condensed Matter Physics 45
- Economics and Econometrics 87
Countries citing papers authored by Ditza Auerbach
This map shows the geographic impact of Ditza Auerbach'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 Ditza Auerbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ditza Auerbach more than expected).
Fields of papers citing papers by Ditza Auerbach
This network shows the impact of papers produced by Ditza Auerbach. 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 Ditza Auerbach. The network helps show where Ditza Auerbach may publish in the future.
Co-authors
The 14 scholars most cited alongside Ditza Auerbach, 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 | 1987 | 388 | |
| 2 | 1992 | 145 | |
| 3 | 1994 | 108 | |
| 4 | 1997 | 55 | |
| 5 | 1990 | 26 | |
| 6 | 1988 | 24 | |
| 7 | 1988 | 11 | |
| 8 | 1990 | 10 | |
| 9 | 1996 | 6 | |
| 10 | 1997 | 3 |
About Ditza Auerbach
Ditza Auerbach is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Computer Networks and Communications, Condensed Matter Physics and Molecular Biology, having authored 10 papers that have together received 776 indexed citations. Recurring topics across this work include Chaos control and synchronization (7 papers), Quantum chaos and dynamical systems (5 papers), Mathematical Dynamics and Fractals (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (603 citations), Computer Networks and Communications (386 citations), Mathematical Physics (142 citations), Condensed Matter Physics (45 citations) and Economics and Econometrics (87 citations). Ditza Auerbach has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Itamar Procaccia, Predrag Cvitanović, Gemunu H. Gunaratne, Jean‐Pierre Eckmann, James A. Yorke, Edward Ott, Celso Grebogi, Ron Unger, James A. Given and John Moult. Their work appears in journals such as Physical Review Letters, Proteins Structure Function and Bioinformatics, Physical Review A, Journal of the Optical Society of America B and Physical review. B, Condensed matter.
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.