Evi Kopelowitz

520 total citations
12 papers, 296 citations indexed

About

Evi Kopelowitz is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Evi Kopelowitz has authored 12 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Statistical and Nonlinear Physics and 5 papers in Cognitive Neuroscience. Recurrent topics in Evi Kopelowitz's work include Nonlinear Dynamics and Pattern Formation (7 papers), Neural dynamics and brain function (5 papers) and Chaos control and synchronization (5 papers). Evi Kopelowitz is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (7 papers), Neural dynamics and brain function (5 papers) and Chaos control and synchronization (5 papers). Evi Kopelowitz collaborates with scholars based in Israel, Germany and United States. Evi Kopelowitz's co-authors include Ido Kanter, Wolfgang Kinzel, Bence P. Ölveczky, Ashesh K. Dhawale, Steffen B. E. Wolff, Rajesh Poddar, M. Rosenbluh, Lev Khaykovich, Noam Gross and Einat Klein and has published in prestigious journals such as Physical Review Letters, eLife and Europhysics Letters (EPL).

In The Last Decade

Evi Kopelowitz

11 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Evi Kopelowitz Israel	8	147	133	127	79	48	12	296
Shannon R. Campbell United States	7	164 1.1×	135 1.0×	207 1.6×	55 0.7×	68 1.4×	18	327
David Chik United Kingdom	11	136 0.9×	183 1.4×	217 1.7×	39 0.5×	47 1.0×	22	379
Romain Veltz France	11	147 1.0×	188 1.4×	262 2.1×	85 1.1×	49 1.0×	27	370
Toru Aonishi Japan	12	83 0.6×	71 0.5×	201 1.6×	118 1.5×	61 1.3×	52	436
Takashi Kanamaru Japan	11	150 1.0×	228 1.7×	194 1.5×	45 0.6×	39 0.8×	33	349
M. Zigzag Israel	7	242 1.6×	185 1.4×	54 0.4×	15 0.2×	56 1.2×	9	294
Quansheng Ren China	11	127 0.9×	81 0.6×	155 1.2×	31 0.4×	144 3.0×	24	402
Maxim Komarov Russia	13	205 1.4×	117 0.9×	232 1.8×	56 0.7×	24 0.5×	21	385
Elie Bertrand Megam Ngouonkadi Cameroon	9	227 1.5×	297 2.2×	149 1.2×	19 0.2×	84 1.8×	24	358

Countries citing papers authored by Evi Kopelowitz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Evi Kopelowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Evi Kopelowitz. A scholar is included among the top collaborators of Evi Kopelowitz 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 Evi Kopelowitz. Evi Kopelowitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Kopelowitz, Evi, et al.. (2019). Lung Nodules Detection and Segmentation Using 3D Mask-RCNN. 1 indexed citations

Dhawale, Ashesh K., et al.. (2017). Automated long-term recording and analysis of neural activity in behaving animals. eLife. 6. 94 indexed citations

Kopelowitz, Evi, et al.. (2013). Quantification of pairwise neuronal interactions: Going beyond the significance lines. Journal of Neuroscience Methods. 222. 147–155. 3 indexed citations

Kopelowitz, Evi, Micha Abeles, Dana Cohen, & Ido Kanter. (2012). Sensitivity of global network dynamics to local parameters versus motif structure in a cortexlike neuronal model. Physical Review E. 85(5). 51902–51902. 11 indexed citations

Wallach, Avner, et al.. (2012). Synthetic reverberating activity patterns embedded in networks of cortical neurons. Europhysics Letters (EPL). 97(6). 66002–66002. 18 indexed citations

Kanter, Ido, et al.. (2011). Nonlocal Mechanism for Synchronization of Time Delay Networks. Journal of Statistical Physics. 145(3). 713–733. 4 indexed citations

Kopelowitz, Evi, et al.. (2008). Patterns of chaos synchronization. Physical Review E. 77(4). 46209–46209. 21 indexed citations

Kanter, Ido, Evi Kopelowitz, & Wolfgang Kinzel. (2008). Public Channel Cryptography: Chaos Synchronization and Hilbert’s Tenth Problem. Physical Review Letters. 101(8). 84102–84102. 42 indexed citations

Kopelowitz, Evi, et al.. (2008). Publisher's Note: Patterns of chaos synchronization [Phys. Rev. E77, 046209 (2008)]. Physical Review E. 77(4).

10.

Kanter, Ido, Noam Gross, Einat Klein, et al.. (2007). Synchronization of Mutually Coupled Chaotic Lasers in the Presence of a Shutter. Physical Review Letters. 98(15). 154101–154101. 26 indexed citations

11.

Rosenbluh, M., Yaara Aviad, Elad Cohen, et al.. (2007). Spiking optical patterns and synchronization. Physical Review E. 76(4). 46207–46207. 18 indexed citations

12.

Klein, Einat, Noam Gross, Evi Kopelowitz, et al.. (2006). Public-channel cryptography based on mutual chaos pass filters. Physical Review E. 74(4). 46201–46201. 58 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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