Erik M. Bollt

Physics and AstronomyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 14 papers. Top paper: “Predicting sea surface temperatures with coupled reservoir computers”.

Predicting sea surface temperatures with coupled reservoir computers

Nonlinear processes in geophysics(2022)10.5194/npg-29-255-2022

N/A

0DataRank · unranked

24 citations

Erik M. Bollt, Benjamin Walleshauser

Predicting Sea Surface Temperatures with Coupled Reservoir Computers

(2022)10.5194/npg-2022-4

N/A

0DataRank · unranked

4 citations

Erik M. Bollt, Benjamin Walleshauser

Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling

Chaos An Interdisciplinary Journal of Nonlinear Science(2023)10.1063/5.0088748

N/A

0DataRank · unranked

25 citations

Dilhani I. Jayathilake, Yonggi Park, Erik M. Bollt, Kelum Gajamannage

Machine learning enhanced Hankel dynamic-mode decomposition

Chaos An Interdisciplinary Journal of Nonlinear Science(2023)10.1063/5.0150689

N/A

0DataRank · unranked

9 citations

Daniel Jay Alford-Lago, Erik M. Bollt, Andrew Tuma, Christopher W. Curtis

Fractal basins as a mechanism for the nimble brain

Scientific Reports(2023)10.1038/s41598-023-45664-5

N/A

0DataRank · unranked

3 citations

Jeremie Fish, Anil Kumar, Edmilson Roque dos Santos, Paul J. Laurienti, Erik M. Bollt

On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them

PNAS Nexus(2024)10.1093/pnasnexus/pgae494

N/A

0DataRank · unranked

1 citations

Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt +2 more

Learning transfer operators by kernel density estimation

Chaos An Interdisciplinary Journal of Nonlinear Science(2024)10.1063/5.0179937

N/A

0DataRank · unranked

4 citations

Jeremie Fish, Erik M. Bollt, Sudam Surasinghe

A causation-based computationally efficient strategy for deploying Lagrangian drifters to improve real-time state estimation

Physica D Nonlinear Phenomena(2024)10.1016/j.physd.2024.134283

N/A

0DataRank · unranked

4 citations

Nan Chen, Stephen Wiggins, Erik M. Bollt

Contrasting topologies of synchronous and asynchronous functional brain networks

Network Neuroscience(2024)10.1162/netn_a_00413

N/A

0DataRank · unranked

1 citations

Mohsen Bahrami, Heather M. Shappell, Robert G. Lyday, Jeremie Fish, Erik M. Bollt +2 more

Fractal Conditional Correlation Dimension Infers Complex Causal Networks

Entropy(2024)10.3390/e26121030

N/A

0DataRank · unranked

1 citations

Erik M. Bollt, Özge Canlı Usta

Linear Stability Analysis of Physics-Informed Random Projection Neural Networks for ODEs

arXiv (Cornell University)(2024)10.48550/arxiv.2408.15393

N/A

0DataRank · unranked

2 citations

Erik M. Bollt, Constantinos Siettos, Athanasios N. Yannacopoulos, Gianluca Fabiani

Contrasting topologies of synchronous and asynchronous functional brain networks

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.23.604765

N/A

0DataRank · unranked

1 citations

Mohsen Bahrami, Heather M. Shappell, Robert G. Lyday, Jeremie Fish, Erik M. Bollt +2 more

A Causation-Based Computationally Efficient Strategy for Deploying Lagrangian Drifters to Improve Real-Time State Estimation

arXiv (Cornell University)(2024)10.48550/arxiv.2402.10034

N/A

0DataRank · unranked

0 citations

Nan Chen, Stephen Wiggins, Erik M. Bollt

Tree-based learning for high-fidelity prediction of chaos

Scientific Reports(2025)10.1038/s41598-025-25939-9

N/A

0DataRank · unranked

3 citations

Kamal Rana, Erik M. Bollt, Nishant Malik, Adam Giammarese