Robert L. Nowack
Earth and Planetary Sciences · Purdue University West Lafayette
Publications
140
Citations
1,869
Est. group size
—
Recurring co-author estimate
Active years
46
Publishing since 1980
Robert L. Nowack works in seismology, developing and applying computational methods to image the Earth's subsurface using seismic wave data. His research includes techniques like seismic interferometry (extracting structural information from ambient noise), Marchenko redatuming (a method for improving subsurface imaging without needing a detailed prior model), and machine learning approaches such as convolutional neural networks for reconstructing sparse or incomplete seismic data. Applications mentioned in his work include crustal structure studies, monitoring carbon sequestration sites, and analyzing noise from sources like wind farms.
Publication output was steady at 3-4 papers per year from 2017-2020 but has slowed considerably since 2021, averaging only 0.6 publications per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Extensions for the Reversibility of First-Arrival Travel Times Investigated Using PINNs
Bulletin of the Seismological Society of America · 2025
- Science and reflections: With some thoughts to young applied scientists and engineers
Earthquake Science · 2024
- Seismic Interferometry Applied to Wind Farm and Other Anthropogenic Noise Sources
Seismological Research Letters · 2022
- Machine Learning Using U-Net Convolutional Neural Networks for the Imaging of Sparse Seismic Data
Pure and Applied Geophysics · 2020
- Analysis of Local Seismic Events near a Large-N Array for Moho Reflections
Seismological Research Letters · 2020
- Machine Learning for the Imaging of Sparse Seismic Data in Blocky Subsurface Models
AGU Fall Meeting Abstracts · 2020
- Application of non-stationary iterative time-domain deconvolution
Studia Geophysica et Geodaetica · 2019
- Crustal Structure from Correlation Analysis of the Coda of Local Seismicity Beneath a Large-N Array
Purdue e-Pubs (Purdue University) · 2019
- The Imaging of Sparse Seismic Data using Convolutional Neural Networks
Purdue e-Pubs (Purdue University) · 2019
- Virtual Green’s Functions Using Seismic Interferometry and Marchenko Redatuming
Seismological Research Letters · 2018
- Marchenko redatuming and imaging with application to the Frio carbon sequestration experiment
Geophysical Journal International · 2018
- Enhancing The Resolution Of Near Surface Seismic Reflection Data Using Time Variant Iterative Time Domain Deconvolution
AGUFM · 2018
- Application of Marchenko Redatuming and Imaging to Data from the Frio Carbon Sequestration Experiment
AGU Fall Meeting Abstracts · 2018
- An overview of reproducible 3D seismic data processing and imaging using Madagascar
Geophysics · 2017
- Testing of Marchenko Redatuming and Imaging for Carbon Sequestration Monitoring
AGUFM · 2017
- Seismological Research Letters×3
- AGUFM×3
- AGU Fall Meeting Abstracts×3
- Geophysical Journal International×2
- Purdue e-Pubs (Purdue University)×2
- Bin He
Earth and Planetary Sciences · Purdue University West Lafayette
- Yunyue Elita Li
Earth and Planetary Sciences · Purdue University West Lafayette
- Douglas R. Schmitt
Earth and Planetary Sciences · Purdue University West Lafayette
- Juan E. Santos
Earth and Planetary Sciences · Purdue University West Lafayette
- L. J. Pyrak‐Nolte
Earth and Planetary Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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