Amit Apte
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- Quantum chaos and dynamical systems 7
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 9
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- Climate variability and models 6
- Hydrology and Drought Analysis 2
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals 5
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- Reservoir Engineering and Simulation Methods 3
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- Oceanographic and Atmospheric Processes 3
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- Complex Systems and Time Series Analysis 2
- Co-authors
- Andrew M. StuartChristopher K. R. T. JonesP. MorrisonMartin HairerP.J. MorrisonTodd B. KrauseBjörn SandstedeLaura Slivinski
- Journals
- SIAM Journal on Control and Optimization (3 papers)Physica D Nonlinear Phenomena (3 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Apte
22 papers receiving 362 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 151
- Atmospheric Science 132
- Nuclear and High Energy Physics 63
- Global and Planetary Change 103
- Mathematical Physics 43
Countries citing papers authored by Amit Apte
This map shows the geographic impact of Amit Apte'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 Amit Apte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Apte more than expected).
Fields of papers citing papers by Amit Apte
This network shows the impact of papers produced by Amit Apte. 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 Amit Apte. The network helps show where Amit Apte may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Amit Apte, 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 | 2 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 1 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 1 | |
| 6 | 2015 | 28 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 5 | |
| 9 | 2012 | 3 | |
| 10 | 2010 | 1 | |
| 11 | 2008 | 39 | |
| 12 | 2007 | 46 | |
| 13 | 2007 | 23 | |
| 14 | 2006 | 66 | |
| 15 | 2005 | 48 | |
| 16 | 2005 | 3 | |
| 17 | 2005 | 16 | |
| 18 | 2004 | 13 | |
| 19 | 2004 | 23 | |
| 20 | 2003 | 29 |
About Amit Apte
Amit Apte is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Atmospheric Science, Global and Planetary Change and Oceanography, having authored 22 papers that have together received 377 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (9 papers), Quantum chaos and dynamical systems (7 papers), Climate variability and models (6 papers), Mathematical Dynamics and Fractals (5 papers), Reservoir Engineering and Simulation Methods (3 papers), Oceanographic and Atmospheric Processes (3 papers), Complex Systems and Time Series Analysis (2 papers) and Hydrology and Drought Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (151 citations), Atmospheric Science (132 citations), Nuclear and High Energy Physics (63 citations), Global and Planetary Change (103 citations) and Mathematical Physics (43 citations). Amit Apte has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Andrew M. Stuart, Christopher K. R. T. Jones, P. Morrison, Martin Hairer, P.J. Morrison, Todd B. Krause, Björn Sandstede, Laura Slivinski, Elaine T. Spiller and Rafael de la Llave. Their work appears in journals such as SIAM Journal on Control and Optimization, Physica D Nonlinear Phenomena, Chaos An Interdisciplinary Journal of Nonlinear Science, Tellus A Dynamic Meteorology and Oceanography and Physics of Plasmas.
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.