I. M. Navon
Impact in
- Statistical and Nonlinear Physics top 0.1%
- Model Reduction and Neural Networks
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Model Reduction and Neural Networks 76
- Co-authors
- F. FangChristopher C. PainDavid M. LeglerXiaolei ZouDunhui XiaoZhendong LuoDacian N. DaescuJiang Zhu
- Journals
- International Journal for Numerical Methods in Fluids (34 papers)Monthly Weather Review (28 papers)Journal of Computational Physics (17 papers)Computer Methods in Applied Mechanics and Engineering (15 papers)Computers & Mathematics with Applications (10 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
I. M. Navon
232 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 130
- Statistical and Nonlinear Physics 2.7k
- Statistics, Probability and Uncertainty 1.0k
- Atmospheric Science 2.4k
- Computational Mechanics 2.7k
- Numerical Analysis 636
Countries citing papers authored by I. M. Navon
This map shows the geographic impact of I. M. Navon'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 I. M. Navon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. M. Navon more than expected).
Fields of papers citing papers by I. M. Navon
This network shows the impact of papers produced by I. M. Navon. 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 I. M. Navon. The network helps show where I. M. Navon may publish in the future.
Co-authors
The 25 scholars most cited alongside I. M. Navon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 12 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 36 | |
| 6 | 2019 | 53 | |
| 7 | 2018 | 38 | |
| 8 | 2018 | 4 | |
| 9 | Goal-based sensitivity maps using time windows and ensemble perturbations | 2018 | 1 |
| 10 | 2016 | 32 | |
| 11 | 2015 | 72 | |
| 12 | An ensemble method for targeted adaptive observations applied to multiphase flows | 2013 | 1 |
| 13 | 2006 | 98 | |
| 14 | 2006 | 17 | |
| 15 | 2006 | 3 | |
| 16 | 2006 | 16 | |
| 17 | 1998 | 62 | |
| 18 | 1988 | 5 | |
| 19 | Finite-element solution of the shallow-water equations on a limited-area domain with three different mass matrix formulations | 1979 | 2 |
| 20 | Application of a new partly-implicit time-differencing scheme for solving the shallow-water equations | 1977 | 1 |
About I. M. Navon
I. M. Navon is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Computational Mechanics, Atmospheric Science and Statistics, Probability and Uncertainty, having authored 234 papers that have together received 7.9k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (88 papers), Model Reduction and Neural Networks (76 papers), Advanced Numerical Methods in Computational Mathematics (55 papers), Climate variability and models (44 papers), Fluid Dynamics and Vibration Analysis (41 papers), Computational Fluid Dynamics and Aerodynamics (37 papers), Probabilistic and Robust Engineering Design (28 papers) and Oceanographic and Atmospheric Processes (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.7k citations), Statistics, Probability and Uncertainty (1.0k citations), Atmospheric Science (2.4k citations), Computational Mechanics (2.7k citations) and Numerical Analysis (636 citations). I. M. Navon has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include F. Fang, Christopher C. Pain, David M. Legler, Xiaolei Zou, Dunhui Xiao, Zhendong Luo, Dacian N. Daescu, Jiang Zhu, Joseph G. Sela and Răzvan Ştefanescu. Their work appears in journals such as International Journal for Numerical Methods in Fluids, Monthly Weather Review, Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computers & Mathematics with Applications.
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.