Nir Gavish

40 papers receiving 879 citations

Peers

Nir Gavish
Comparison fields: 5 of 100
  • Filtration and Separation 32
  • Physical and Theoretical Chemistry 127
  • Electrochemistry 70
  • Modeling and Simulation 52
  • Statistical and Nonlinear Physics 131
Replace Fernando Vericat with:
Fernando Vericat Argentina
A. G. Schlijper Netherlands
M. Bonetti France
A. A. Khamzin Russia
Qiliang Yan United States
Zhenli Xu China
Shenggao Zhou China
B K P Scaife Ireland
Thomas A. Knotts United States
G. Malescio Italy
Nir Gavish relative to Fernando Vericat Argentina Fernando Vericat's profile →
Citations per field
00.5×8.8×
Fernando Vericat · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nir Gavish, 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 Nir Gavish Line = papers co-authored together Nir Gavish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016191
2 200680
3 201666
4 201751
5 202044
6 201641
7 201040
8 200540
9 202237
10 200737
11 201234
12 201131
13 200828
14 200819
15 201717
16 201515
17 201715
18 201013
19 200810
20 20129

About Nir Gavish

Nir Gavish is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Condensed Matter Physics and Physical and Theoretical Chemistry, having authored 42 papers that have together received 909 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (8 papers), Electrostatics and Colloid Interactions (6 papers), Advanced Mathematical Physics Problems (5 papers), Auction Theory and Applications (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Material Dynamics and Properties (4 papers), Consumer Market Behavior and Pricing (4 papers) and Advanced Fiber Laser Technologies (4 papers). The work is most often cited by research in Filtration and Separation (32 citations), Physical and Theoretical Chemistry (127 citations), Electrochemistry (70 citations), Modeling and Simulation (52 citations) and Statistical and Nonlinear Physics (131 citations). Nir Gavish has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Keith Promislow, Gadi Fibich, Arik Yochelis, Xiaoping Wang, Dario R. Dekel, Luat T. Vuong, Guy Katriel, Alexander L. Gaeta, Amiel A. Ishaaya and Taylor D. Grow. Their work appears in journals such as Physica D Nonlinear Phenomena, Physical review. E, Optics Express, The Journal of Physical Chemistry Letters and Physical Review A.

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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