Ditza Auerbach

1.0k citations
12 papers · 836 · h-index 8

Impact in

Papers in

Ditza Auerbach

12 papers receiving 802 citations

Peers

Ditza Auerbach
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 644
  • Mathematical Physics 159
  • Computer Networks and Communications 408
  • Condensed Matter Physics 47
  • Economics and Econometrics 93
Replace S. N. Rauseo with:
S. N. Rauseo United States
A. Wolf United States
I. Shimada Japan
John C. Sommerer United States
Paul S. Linsay United States
Ittai Kan United States
Tomohiro Nagashima Germany
Glen Richard Hall United States
H. Fujisaka Japan
Jorge Buescu Portugal
Ditza Auerbach relative to S. N. Rauseo United States S. N. Rauseo's profile →
Citations per field
00.5×1.5×
S. N. Rauseo · 1×
Citations per year

Countries citing papers authored by Ditza Auerbach

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with Ditza Auerbach Line = papers co-authored together Ditza Auerbach links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1987416
2 1992155
3 1994112
4 199757
5 199027
6 198826
7 198811
8 199010
9 20027
10 19967
11 19895
12 19973

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 12 papers that have together received 836 indexed citations. Recurring topics across this work include Chaos control and synchronization (9 papers), Quantum chaos and dynamical systems (6 papers), Mathematical Dynamics and Fractals (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Protein Structure and Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Enzyme Structure and Function (2 papers) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (644 citations), Mathematical Physics (159 citations), Computer Networks and Communications (408 citations), Condensed Matter Physics (47 citations) and Economics and Econometrics (93 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, Celso Grebogi, Edward Ott, John Moult, James A. Given and Ron Unger. Their work appears in journals such as Physical Review Letters, Physical Review A, Proteins Structure Function and Bioinformatics, 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.

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