S. Mostafa Mousavi

S. Mostafa Mousavi

Stanford University

H-index: 27

North America-United States

About S. Mostafa Mousavi

S. Mostafa Mousavi, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Seismology, AI, Deep-Learning Seismology, Signal Processing, Geophysics.

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

Enhanced insight into Ghana's Seismicity through a Refined Crustal Velocity Model and Earthquake Focal Mechanisms

Deep Scanning of the Bhutan Eastern Himalaya Seismic Dataset for Local Earthquakes

Tremor clustering reveals pre-eruptive signals and evolution of the 2021 Geldingadalir eruption of the Fagradalsfjall Fires, Iceland

Applications of deep neural networks in exploration seismology: A technical survey

Blockly earthquake transformer: A deep learning platform for custom phase picking

IPIML: A deep-scan earthquake detection and location workflow Integrating Pair-Input deep learning model and Migration Location method

Machine learning in earthquake seismology

An automated earthquake detection algorithm by combining pair-input deep learning and migration location methods

S. Mostafa Mousavi Information

University

Position

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Citations(all)

3508

Citations(since 2020)

3279

Cited By

901

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

31

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

S. Mostafa Mousavi Skills & Research Interests

Seismology

AI

Deep-Learning Seismology

Signal Processing

Geophysics

Top articles of S. Mostafa Mousavi

Enhanced insight into Ghana's Seismicity through a Refined Crustal Velocity Model and Earthquake Focal Mechanisms

2024/3/7

Deep Scanning of the Bhutan Eastern Himalaya Seismic Dataset for Local Earthquakes

2024/3/7

Tremor clustering reveals pre-eruptive signals and evolution of the 2021 Geldingadalir eruption of the Fagradalsfjall Fires, Iceland

Communications Earth & Environment

2024/1/2

Applications of deep neural networks in exploration seismology: A technical survey

Geophysics

2024/1/1

Blockly earthquake transformer: A deep learning platform for custom phase picking

Artificial Intelligence in Geosciences

2023

IPIML: A deep-scan earthquake detection and location workflow Integrating Pair-Input deep learning model and Migration Location method

IEEE Transactions on Geoscience and Remote Sensing

2023/7/10

Machine learning in earthquake seismology

2023/5/31

An automated earthquake detection algorithm by combining pair-input deep learning and migration location methods

EGU General Assembly Conference Abstracts

2023/5

Application of deep learning for seismicity analysis in Ghana

Geosystems and Geoenvironment

2023/5/1

A data set of earthquake bulletin and seismic waveforms for Ghana obtained by deep learning

Data in brief

2023/4/1

Precursory volcanic tremor and eruptive phases of the 2021 Geldingadalir eruption revealed through deep clustering

2023

QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing

Geophysical Journal International

2023/1

Deep Clustering of Tremor Episodes Can Reveal Different Eruptive Periods during the 2021 Fagradalsfjall Eruption, Iceland

AGU Fall Meeting Abstracts

2022/12

Deep-learning seismology

2022/8/12

Seismicity analysis in southern Ghana-I: Detecting local earthquakes by Deep Learning

EGU General Assembly Conference Abstracts

2022/5

Earthquake phase association using a Bayesian Gaussian mixture model

Journal of Geophysical Research: Solid Earth

2022/5

An end‐to‐end earthquake detection method for joint phase picking and association using deep learning

Journal of Geophysical Research: Solid Earth

2022/3

A review of earth artificial intelligence

Computers & Geosciences

2022/1

Quakeflow: A scalable deep-learning-based earthquake monitoring workflow with cloud computing

AGU Fall Meeting Abstracts

2021/12

Machine learning and earthquake forecasting—next steps

Nature communications

2021/8/6

See List of Professors in S. Mostafa Mousavi University(Stanford University)

Co-Authors

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