Avi Gozolchiani

1.6k total citations
15 papers, 994 citations indexed

About

Avi Gozolchiani is a scholar working on Global and Planetary Change, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Avi Gozolchiani has authored 15 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 8 papers in Economics and Econometrics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Avi Gozolchiani's work include Climate variability and models (10 papers), Complex Systems and Time Series Analysis (8 papers) and Ecosystem dynamics and resilience (5 papers). Avi Gozolchiani is often cited by papers focused on Climate variability and models (10 papers), Complex Systems and Time Series Analysis (8 papers) and Ecosystem dynamics and resilience (5 papers). Avi Gozolchiani collaborates with scholars based in Israel, Germany and Japan. Avi Gozolchiani's co-authors include Shlomo Havlin, Kazuko Yamasaki, Armin Bunde, Mikhail I. Bogachev, Hans Joachim Schellnhuber, Josef Ludescher, Yosef Ashkenazy, Yehiel Berezin, Shlomo Havlin and Yang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Scientific Reports.

In The Last Decade

Avi Gozolchiani

15 papers receiving 969 citations

Peers

Avi Gozolchiani
Renato Vitolo United Kingdom
Tamás Bódai United Kingdom
Geli Wang China
Frank Kwasniok United Kingdom
Nishant Malik United States
Avi Gozolchiani
Citations per year, relative to Avi Gozolchiani Avi Gozolchiani (= 1×) peers Josef Ludescher

Countries citing papers authored by Avi Gozolchiani

Since Specialization
Citations

This map shows the geographic impact of Avi Gozolchiani'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 Avi Gozolchiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Gozolchiani more than expected).

Fields of papers citing papers by Avi Gozolchiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avi Gozolchiani. 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 Avi Gozolchiani. The network helps show where Avi Gozolchiani may publish in the future.

Co-authorship network of co-authors of Avi Gozolchiani

This figure shows the co-authorship network connecting the top 25 collaborators of Avi Gozolchiani. A scholar is included among the top collaborators of Avi Gozolchiani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avi Gozolchiani. Avi Gozolchiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Feng, Qing, Ruggero Vasile, Avi Gozolchiani, et al.. (2016). ClimateLearn: A machine-learning approach for climate prediction using network measures. 32 indexed citations
2.
Fredj, Erick, Daniel F. Carlson, Yael Amitai, Avi Gozolchiani, & Hezi Gildor. (2016). The particle tracking and analysis toolbox (PaTATO) for Matlab. Limnology and Oceanography Methods. 14(9). 586–599. 28 indexed citations
3.
Gozolchiani, Avi, et al.. (2015). Teleconnection Paths via Climate Network Direct Link Detection. Physical Review Letters. 115(26). 268501–268501. 66 indexed citations
4.
Gozolchiani, Avi, et al.. (2014). Influence of autocorrelation on the topology of the climate network. Physical Review E. 90(6). 62814–62814. 30 indexed citations
5.
Ludescher, Josef, Avi Gozolchiani, Mikhail I. Bogachev, et al.. (2014). Very early warning of next El Niño. Proceedings of the National Academy of Sciences. 111(6). 2064–2066. 136 indexed citations
6.
Gozolchiani, Avi, Yehiel Berezin, Yang Wang, & Shlomo Havlin. (2013). Global climate network evolves with North Atlantic Oscillation phases: Coupling to Southern Pacific Ocean. 14 indexed citations
7.
Wang, Yang, et al.. (2013). Dominant Imprint of Rossby Waves in the Climate Network. Physical Review Letters. 111(13). 138501–138501. 51 indexed citations
8.
Mheen, Mirjam van der, et al.. (2013). Interaction network based early warning indicators for the Atlantic MOC collapse. Geophysical Research Letters. 40(11). 2714–2719. 55 indexed citations
9.
Ludescher, Josef, Avi Gozolchiani, Mikhail I. Bogachev, et al.. (2013). Improved El Niño forecasting by cooperativity detection. Proceedings of the National Academy of Sciences. 110(29). 11742–11745. 121 indexed citations
10.
Berezin, Yehiel, et al.. (2012). Stability of Climate Networks with Time. Scientific Reports. 2(1). 666–666. 47 indexed citations
11.
Gozolchiani, Avi, Shlomo Havlin, & Kazuko Yamasaki. (2011). Emergence of El Niño as an Autonomous Component in the Climate Network. Physical Review Letters. 107(14). 148501–148501. 79 indexed citations
12.
Yamasaki, Kazuko, Avi Gozolchiani, & Shlomo Havlin. (2009). Climate Networks Based on Phase Synchronization Analysis Track El-Niño. Progress of Theoretical Physics Supplement. 179. 178–188. 27 indexed citations
13.
Yamasaki, Kazuko, Avi Gozolchiani, & Shlomo Havlin. (2008). Climate Networks around the Globe are Significantly Affected by El Niño. Physical Review Letters. 100(22). 228501–228501. 226 indexed citations
14.
Gozolchiani, Avi, et al.. (2008). Pattern of climate network blinking links follows El Niño events. Europhysics Letters (EPL). 83(2). 28005–28005. 75 indexed citations
15.
Gozolchiani, Avi, et al.. (2005). Decaying of phase synchronization in parkinsonian tremor. Physica A Statistical Mechanics and its Applications. 366. 552–560. 7 indexed citations

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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