Jaideep Pathak
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks
- Chaos control and synchronization
- Artificial Intelligence top 1%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
Papers in
-
- Meteorological Phenomena and Simulations 9
-
- Model Reduction and Neural Networks 2
- Chaos control and synchronization 1
- Co-authors
- Edward Ott (8 shared papers)Brian R. Hunt (7 shared papers)Michelle Girvan (5 shared papers)Zhixin Lu (3 shared papers)Themistoklis P. Sapsis (2 shared papers)Petros Koumoutsakos (2 shared papers)Pantelis Rafail Vlachas (2 shared papers)R. W. Brockett (1 shared paper)
- Journals
- Geophysical Research Letters (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)Communications Earth & Environment (1 paper)Science Advances (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Jaideep Pathak
15 papers receiving 2.4k citations
Jaideep Pathak's Hit Papers
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 833
- Artificial Intelligence 1.2k
- Atmospheric Science 275
- Global and Planetary Change 145
- Mathematical Physics 80
Countries citing papers authored by Jaideep Pathak
This map shows the geographic impact of Jaideep Pathak'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 Jaideep Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaideep Pathak more than expected).
Fields of papers citing papers by Jaideep Pathak
This network shows the impact of papers produced by Jaideep Pathak. 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 Jaideep Pathak. The network helps show where Jaideep Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaideep Pathak, 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 | Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach Hit paper breakdown → | 2018 | 927 |
| 2 | Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data Hit paper breakdown → | 2017 | 478 |
| 3 | Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics Hit paper breakdown → | 2020 | 339 |
| 4 | 2017 | 262 | |
| 5 | FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators Hit paper breakdown → | 2023 | 150 |
| 6 | 2020 | 109 | |
| 7 | 2022 | 53 | |
| 8 | Residual corrective diffusion modeling for km-scale atmospheric downscaling Hit paper breakdown → | 2025 | 50 |
| 9 | 2025 | 19 | |
| 10 | Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms | 2019 | 16 |
| 11 | 2023 | 5 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 2 | |
| 14 | ML-PDE: A Framework for a Machine Learning Enhanced PDE Solver | 2021 | 1 |
| 15 | 2023 | 1 | |
| 16 | 2026 | 0 |
About Jaideep Pathak
Jaideep Pathak is a scholar working on Atmospheric Science, Statistical and Nonlinear Physics, Artificial Intelligence, Global and Planetary Change and Nuclear Energy and Engineering, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (9 papers), Neural Networks and Reservoir Computing (6 papers), Climate variability and models (2 papers), Model Reduction and Neural Networks (2 papers) and Chaos control and synchronization (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (833 citations), Artificial Intelligence (1.2k citations), Atmospheric Science (275 citations), Global and Planetary Change (145 citations) and Mathematical Physics (80 citations). Jaideep Pathak has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Edward Ott, Brian R. Hunt, Michelle Girvan, Zhixin Lu, Themistoklis P. Sapsis, Petros Koumoutsakos, Pantelis Rafail Vlachas, R. W. Brockett, Istvan Szunyogh and Karthik Kashinath. Their work appears in journals such as Geophysical Research Letters, Chaos An Interdisciplinary Journal of Nonlinear Science, Communications Earth & Environment, Science Advances and Physical Review Letters.
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.