2026 Felix J. Herrmann: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	47	4813	4632	1382	1275	389	9507

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

4813

4632

1382

1275

389

9507

Engineering and Technology

D-Index

Citations

9507

World Ranking

4813

National Ranking

1382

Overview

Felix J. Herrmann is affiliated with the Georgia Institute of Technology in the United States. Their research spans primarily the fields of Earth and Planetary Sciences and Engineering, with significant contributions in subfields such as Geophysics, Ocean Engineering, Artificial Intelligence, Mechanical Engineering, and Computer Vision and Pattern Recognition.

Their main research topics cover a broad range of areas, including:

Seismic Imaging and Inversion Techniques
Reservoir Engineering and Simulation Methods
Seismic Waves and Analysis
Hydraulic Fracturing and Reservoir Analysis
Sparse and Compressive Sensing Techniques
Geophysical Methods and Applications
Seismology and Earthquake Studies

Herrmann has authored numerous papers, with recent works including:

"Architecture and Performance of Devito, a System for Automated Stencil Computation," 2020, published in ACM Transactions on Mathematical Software
"Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs," 2023, published in Computers & Geosciences
"Reliable amortized variational inference with physics-based latent distribution correction," 2023, published in Geophysics
"Deep Bayesian inference for seismic imaging with tasks," 2022, published in Geophysics
"Preconditioned training of normalizing flows for variational inference in inverse problems," 2021, published in arXiv (Cornell University)

The frequent coauthors collaborating with Herrmann include:

Mathias Louboutin
Ali Siahkoohi
Rafael Orozco
Ziyi Yin
Gabrio Rizzuti

The main publication venues where Herrmann's research appears are:

arXiv (Cornell University)
Geophysics
Geophysical Prospecting
Second International Meeting for Applied Geoscience & Energy
The Leading Edge

This profile reflects a scientist with a sustained focus on method development and applications in geophysics and related engineering domains, contributing across computational techniques, imaging, and reservoir analysis.

Best Publications

Non-parametric seismic data recovery with curvelet frames

Felix J. Herrmann;Gilles Hennenfent

726
Citations
Simply denoise: Wavefield reconstruction via jittered undersampling

Gilles Hennenfent;Felix J. Herrmann

410
Citations
Mitigating local minima in full-waveform inversion by expanding the search space

Tristan van Leeuwen;Felix J. Herrmann

382
Citations
Seismic denoising with nonuniformly sampled curvelets

G. Hennenfent;F.J. Herrmann

333
Citations
Curvelet-based seismic data processing : A multiscale and nonlinear approach

Felix J. Herrmann;Deli Wang;Gilles Hennenfent;Peyman P. Moghaddam

279
Citations
Randomized sampling and sparsity: Getting more information from fewer samples

Felix J. Herrmann

228
Citations
Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration

Mathias Louboutin;Michael Lange;Fabio Luporini;Navjot Kukreja

208
Citations
An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides

Eldad Haber;Matthias Chung;Felix Herrmann

192
Citations
A penalty method for PDE-constrained optimization in inverse problems

T. van Leeuwen;Felix J. Herrmann

185
Citations
Sparsity- and continuity-promoting seismic image recovery with curvelet frames

Felix J. Herrmann;Peyman Moghaddam;Christiaan C. Stolk

166
Citations
Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach

Gilles Hennenfent;Lloyd Fenelon;Felix J. Herrmann

166
Citations
Total Variation Regularization Strategies in Full-Waveform Inversion

Ernie Esser;Lluis Guasch;Tristan van Leeuwen;Aleksandr Y. Aravkin

154
Citations
Non-linear primary-multiple separation with directional curvelet frames

Felix J. Herrmann;Urs Böniger;Dirk Jacob (Eric) Verschuur

154
Citations
Efficient least-squares imaging with sparsity promotion and compressive sensing

Felix J. Herrmann;Xiang Li

139
Citations
Compressive simultaneous full-waveform simulation

Felix J. Herrmann;Yogi A. Erlangga;Tim T. Y. Lin

139
Citations
Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology

F. J. Herrmann;M. P. Friedlander;O. Yilmaz

138
Citations
Architecture and Performance of Devito, a System for Automated Stencil Computation

Fabio Luporini;Mathias Louboutin;Michael Lange;Navjot Kukreja

133
Citations
Fast waveform inversion without source‐encoding

Tristan van Leeuwen;Felix J. Herrmann

130
Citations
Fast randomized full-waveform inversion with compressive sensing

Xiang Li;Aleksandr Y. Aravkin;Tristan van Leeuwen;Felix J. Herrmann

128
Citations
Adaptive curvelet-domain primary-multiple separation

Felix J. Herrmann;Deli Wang;Dirk J. Eric Verschuur

109
Citations
A penalty method for PDE-constrained optimization in inverse problems

Tristan van Leeuwen;Felix J. Herrmann

36
Citations