Nir Gavish
Impact in
- Filtration and Separation top 5%
-
- Electrostatics and Colloid Interactions
Papers in
-
- Nonlinear Photonic Systems 8
- Nonlinear Waves and Solitons 4
- Co-authors
- Keith Promislow (6 shared papers)Gadi Fibich (13 shared papers)Arik Yochelis (6 shared papers)Xiaoping Wang (2 shared papers)Dario R. Dekel (2 shared papers)Luat T. Vuong (4 shared papers)Taylor D. Grow (1 shared paper)Guy Katriel (4 shared papers)
- Journals
- Physica D Nonlinear Phenomena (8 papers)Physical review. E (3 papers)Physical Review A (2 papers)The Journal of Physical Chemistry Letters (2 papers)Optics Express (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Nir Gavish
38 papers receiving 927 citations
Peers
Comparison fields: 5 of 98
- Filtration and Separation 32
- Physical and Theoretical Chemistry 125
- Electrochemistry 70
- Statistical and Nonlinear Physics 140
- Modeling and Simulation 46
Countries citing papers authored by Nir Gavish
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
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.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 199 | |
| 2 | 2006 | 87 | |
| 3 | 2016 | 69 | |
| 4 | 2017 | 58 | |
| 5 | 2016 | 50 | |
| 6 | 2020 | 47 | |
| 7 | 2010 | 43 | |
| 8 | 2005 | 42 | |
| 9 | 2007 | 39 | |
| 10 | 2012 | 37 | |
| 11 | 2022 | 36 | |
| 12 | 2011 | 28 | |
| 13 | 2008 | 28 | |
| 14 | 2017 | 22 | |
| 15 | 2017 | 19 | |
| 16 | 2008 | 19 | |
| 17 | 2015 | 15 | |
| 18 | 2010 | 13 | |
| 19 | 2012 | 11 | |
| 20 | 2008 | 10 |
About Nir Gavish
Nir Gavish is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Physical and Theoretical Chemistry, Modeling and Simulation and Mathematical Physics, having authored 41 papers that have together received 958 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (8 papers), Electrostatics and Colloid Interactions (5 papers), Advanced Mathematical Physics Problems (5 papers), COVID-19 epidemiological studies (4 papers), Fuel Cells and Related Materials (4 papers), Nonlinear Waves and Solitons (4 papers), Laser-Matter Interactions and Applications (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 (125 citations), Electrochemistry (70 citations), Statistical and Nonlinear Physics (140 citations) and Modeling and Simulation (46 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, Taylor D. Grow, Guy Katriel, Alexander L. Gaeta and Amiel A. Ishaaya. Their work appears in journals such as Physica D Nonlinear Phenomena, Physical review. E, Physical Review A, The Journal of Physical Chemistry Letters and Optics Express.
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.