Natasha Flyer

Natasha Flyer

University of Colorado Boulder

H-index: 30

North America-United States

About Natasha Flyer

Natasha Flyer, With an exceptional h-index of 30 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Colorado Boulder, specializes in the field of Computational geosciences, Radial basis functions.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerating explicit time-stepping with spatially variable time steps through machine learning

Convolutional Neural Networks and Stokes Response Functions

Solar flare catalog based on SDO/AIA EUV images: Composition and correlation with GOES/XRS x-ray flare magnitudes

Solving 3D magnetohydrostatics with RBF-FD: Applications to the solar corona

Decreasing false-alarm rates in CNN-based solar flare prediction using SDO/HMI data

Comparing Solar Flare Irradiance in GOES X-ray and SDO/AIA EUV Data via Machine Learning Regression

Convolutional neural networks for predicting the strength of the near-earth magnetic field caused by interplanetary coronal mass ejections

Reconstructing the coronal magnetic field: the role of cross-field currents in solution uniqueness

Natasha Flyer Information

University

Position

Flyer Research LLC;

Citations(all)

3941

Citations(since 2020)

1959

Cited By

2887

hIndex(all)

30

hIndex(since 2020)

18

i10Index(all)

48

i10Index(since 2020)

32

Email

University Profile Page

University of Colorado Boulder

Google Scholar

View Google Scholar Profile

Natasha Flyer Skills & Research Interests

Computational geosciences

Radial basis functions

Top articles of Natasha Flyer

Title

Journal

Author(s)

Publication Date

Accelerating explicit time-stepping with spatially variable time steps through machine learning

Journal of Scientific Computing

Kiera van der Sande

Natasha Flyer

Bengt Fornberg

2023/7

Convolutional Neural Networks and Stokes Response Functions

The Astrophysical Journal

Rebecca Centeno

Natasha Flyer

Lipi Mukherjee

Ricky Egeland

Roberto Casini

...

2022/2/3

Solar flare catalog based on SDO/AIA EUV images: Composition and correlation with GOES/XRS x-ray flare magnitudes

Frontiers in Astronomy and Space Sciences

Kiera Van der Sande

Natasha Flyer

Thomas E Berger

Riana Gagnon

2022/11/22

Solving 3D magnetohydrostatics with RBF-FD: Applications to the solar corona

Journal of Computational Physics

Nat H Mathews

Natasha Flyer

Sarah E Gibson

2022/8/1

Decreasing false-alarm rates in CNN-based solar flare prediction using SDO/HMI data

The Astrophysical Journal Supplement Series

Varad Deshmukh

Natasha Flyer

Kiera Van Der Sande

Thomas Berger

2022/5/4

Comparing Solar Flare Irradiance in GOES X-ray and SDO/AIA EUV Data via Machine Learning Regression

Proceedings of the 2nd Machine Learning in Heliophysics

Kiera van der Sande

Natasha Flyer

Varad Deshmukh

Thomas Berger

2022/3/21

Convolutional neural networks for predicting the strength of the near-earth magnetic field caused by interplanetary coronal mass ejections

Frontiers in Astronomy and Space Sciences

Anna Malanushenko

Natasha Flyer

Sarah Gibson

2020/9/18

Reconstructing the coronal magnetic field: the role of cross-field currents in solution uniqueness

The Astrophysical Journal

Nat H Mathews

Natasha Flyer

Sarah E Gibson

2020/7/24

Transport schemes in spherical geometries using spline-based RBF-FD with polynomials

Journal of Computational Physics

David Gunderman

Natasha Flyer

Bengt Fornberg

2020/5/1

See List of Professors in Natasha Flyer University(University of Colorado Boulder)