Nir Gavish

1.3k total citations
42 papers, 909 citations indexed

About

Nir Gavish is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Nir Gavish has authored 42 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 10 papers in Atomic and Molecular Physics, and Optics and 7 papers in Biomedical Engineering. Recurrent topics in Nir Gavish's work include Nonlinear Photonic Systems (8 papers), Electrostatics and Colloid Interactions (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Nir Gavish is often cited by papers focused on Nonlinear Photonic Systems (8 papers), Electrostatics and Colloid Interactions (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Nir Gavish collaborates with scholars based in Israel, United States and Germany. Nir Gavish's co-authors include Keith Promislow, Gadi Fibich, Arik Yochelis, Xiaoping Wang, Luat T. Vuong, Dario R. Dekel, Guy Katriel, Alexander L. Gaeta, Amiel A. Ishaaya and Taylor D. Grow and has published in prestigious journals such as Nature Communications, The Journal of Physical Chemistry B and Journal of Computational Physics.

In The Last Decade

Nir Gavish

40 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nir Gavish Israel 16 246 213 181 131 131 42 909
Zhenli Xu China 20 306 1.2× 378 1.8× 308 1.7× 117 0.9× 184 1.4× 96 1.1k
Fernando Vericat Argentina 15 271 1.1× 75 0.4× 308 1.7× 111 0.8× 236 1.8× 92 784
M. Bonetti France 19 132 0.5× 197 0.9× 443 2.4× 167 1.3× 439 3.4× 43 1.2k
Shenggao Zhou China 16 154 0.6× 90 0.4× 195 1.1× 120 0.9× 138 1.1× 50 708
C. Tannous France 15 538 2.2× 255 1.2× 119 0.7× 156 1.2× 316 2.4× 57 1.2k
Qiliang Yan United States 19 276 1.1× 97 0.5× 485 2.7× 136 1.0× 803 6.1× 41 1.4k
Thomas A. Knotts United States 18 243 1.0× 209 1.0× 359 2.0× 51 0.4× 271 2.1× 59 1.3k
V. V. Gorodetskii Russia 23 556 2.3× 216 1.0× 226 1.2× 122 0.9× 871 6.6× 94 1.6k
Changho Kim South Korea 15 126 0.5× 57 0.3× 211 1.2× 160 1.2× 169 1.3× 55 738
Ying Wai Li United States 15 139 0.6× 91 0.4× 70 0.4× 63 0.5× 452 3.5× 46 826

Countries citing papers authored by Nir Gavish

Since Specialization
Citations

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

Fields of papers citing papers by Nir Gavish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Gavish

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

All Works

20 of 20 papers shown
1.
Gavish, Nir. (2025). Revisiting the exclusion principle in epidemiology at the limit of a large competitive advantage. Journal of Theoretical Biology. 600. 112045–112045.
2.
Gavish, Nir, Rami Yaari, Amit Huppert, & Guy Katriel. (2022). Population-level implications of the Israeli booster campaign to curtail COVID-19 resurgence. Science Translational Medicine. 14(647). eabn9836–eabn9836. 37 indexed citations
3.
Gavish, Nir & Guy Katriel. (2022). The role of childrens’ vaccination for COVID-19—Pareto-optimal allocations of vaccines. PLoS Computational Biology. 18(2). e1009872–e1009872. 5 indexed citations
4.
Peletier, Mark A., et al.. (2021). Large Deviations and Gradient Flows for the Brownian One-Dimensional Hard-Rod System. Potential Analysis. 58(1). 71–121. 3 indexed citations
5.
Gavish, Nir, et al.. (2020). Bending and pinching of three-phase stripes: From secondary instabilities to morphological deformations in organic photovoltaics. Physical review. E. 102(6). 62213–62213. 1 indexed citations
6.
Gavish, Nir. (2020). Poisson–Nernst–Planck equations with high-order steric effects. Physica D Nonlinear Phenomena. 411. 132536–132536. 6 indexed citations
7.
Gavish, Nir, Oded Kenneth, & Amit Keren. (2020). Ginzburg–Landau model of a Stiffnessometer — A superconducting stiffness meter device. Physica D Nonlinear Phenomena. 415. 132767–132767. 5 indexed citations
8.
Salman, Z., et al.. (2019). Phase transition in the cuprates from a magnetic-field-free stiffness meter viewpoint. Nature Communications. 10(1). 2463–2463. 8 indexed citations
9.
Gavish, Nir, et al.. (2017). From solvent free to dilute electrolytes: A unified continuum approach. arXiv (Cornell University). 2 indexed citations
10.
Gavish, Nir & Keith Promislow. (2016). Dependence of the dielectric constant of electrolyte solutions on ionic concentration: A microfield approach. Physical review. E. 94(1). 12611–12611. 191 indexed citations
11.
Gavish, Nir & Keith Promislow. (2015). Systematic interpretation of differential capacitance data. Physical Review E. 92(1). 12321–12321. 5 indexed citations
12.
Fibich, Gadi & Nir Gavish. (2012). Asymmetric First-Price Auctions—A Dynamical-Systems Approach. Mathematics of Operations Research. 37(2). 219–243. 9 indexed citations
13.
Gavish, Nir, et al.. (2012). Variational Models of Network Formation and Ion Transport: Applications to Perfluorosulfonate Ionomer Membranes. Polymers. 4(1). 630–655. 34 indexed citations
14.
Schrauth, Samuel E., Bonggu Shim, Aaron D. Slepkov, et al.. (2011). Pulse splitting in the anomalous group-velocity-dispersion regime. Optics Express. 19(10). 9309–9309. 5 indexed citations
15.
Fibich, Gadi & Nir Gavish. (2011). Numerical simulations of asymmetric first-price auctions. Games and Economic Behavior. 73(2). 479–495. 31 indexed citations
16.
Gavish, Nir, et al.. (2010). Curvature driven flow of bi-layer interfaces. Physica D Nonlinear Phenomena. 240(7). 675–693. 40 indexed citations
17.
Gavish, Nir, Gadi Fibich, Luat T. Vuong, & Alexander L. Gaeta. (2008). Predicting the filamentation of high-power beams and pulses without numerical integration: A nonlinear geometrical optics method. Physical Review A. 78(4). 10 indexed citations
18.
Ditkowski, Adi & Nir Gavish. (2008). A grid redistribution method for singular problems. Journal of Computational Physics. 228(7). 2354–2365. 7 indexed citations
19.
Vuong, Luat T., Alexander L. Gaeta, Nir Gavish, & Gadi Fibich. (2008). Predicting the filamentation of high-powered beams and pulses without numerical integration. 1–2. 1 indexed citations
20.
Grow, Taylor D., Amiel A. Ishaaya, Luat T. Vuong, et al.. (2006). Collapse dynamics of super-Gaussian Beams. Optics Express. 14(12). 5468–5468. 80 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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