Jaideep Pathak

3.3k citations
11 papers · 1.7k · 3 hit papers · h-index 9

Impact in

Papers in

Jaideep Pathak

11 papers receiving 1.6k citations

Hit Papers

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators 2023 · 98 citations
980+3+6Years since publication250500750

Peers

Jaideep Pathak
Comparison fields: 5 of 84
  • Statistical and Nonlinear Physics 622
  • Artificial Intelligence 1.1k
  • Atmospheric Science 288
  • Cognitive Neuroscience 310
  • Computer Networks and Communications 268
Replace Dirk Witthaut with:
Dirk Witthaut Germany
R. Eykholt United States
Jan Sieber United Kingdom
Jürgen Kurths Germany
Elbert E. N. Macau Brazil
Jason Hickey United States
Bethany Lusch United States
James F. Heagy United States
R. Badii Switzerland
Jaideep Pathak relative to Dirk Witthaut Germany Dirk Witthaut's profile →
Citations per field
00.5×2.7×
Dirk Witthaut · 1×
Citations per year

Countries citing papers authored by Jaideep Pathak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jaideep Pathak Line = papers co-authored together Jaideep Pathak links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach
Hit paper breakdown →
2018770
2
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
Hit paper breakdown →
2017399
3 2017225
4
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Hit paper breakdown →
202398
5 202094
6 202242
7 202514
8
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms
201912
9 20258
10 20233
11
ML-PDE: A Framework for a Machine Learning Enhanced PDE Solver
20211

About Jaideep Pathak

Jaideep Pathak is a scholar working on Artificial Intelligence, Atmospheric Science, Statistical and Nonlinear Physics, Global and Planetary Change and Environmental Engineering, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (6 papers), Neural Networks and Reservoir Computing (6 papers), Neural Networks and Applications (4 papers), Climate variability and models (4 papers), Model Reduction and Neural Networks (3 papers), Hydrological Forecasting Using AI (2 papers), Chaos control and synchronization (1 paper) and Cryospheric studies and observations (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (622 citations), Artificial Intelligence (1.1k citations), Atmospheric Science (288 citations), Cognitive Neuroscience (310 citations) and Computer Networks and Communications (268 citations). Jaideep Pathak has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Edward Ott, Brian R. Hunt, Michelle Girvan, Zhixin Lu, Roger W. Brockett, Istvan Szunyogh, Thorsten Kurth, Peter Harrington, Karthik Kashinath and Morteza Mardani. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Geophysical Research Letters, Communications Earth & Environment, Journal of Advances in Modeling Earth Systems 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.

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