Leaderboards/Earthquake Detection and Analysis

Earthquake Detection and Analysis

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Josh Adkins
Pacific Northwest National Laboratory
2
Anushka Joshi
Indian Institute of Technology Roorkee
3
Randa Natraš
Technical University of Munich
4
Zesheng Zang
China University of Mining and Technology
5
Steve Lindemann
Purdue University West Lafayette
6
Chunmei Ren
Peking University
7
Lijia He
Suzhou University of Technology
8
Guozhen Xia
Wuhan University of Science and Technology
9
Saddam Hussain Khan
Artificial Intelligence in Medicine (Canada)
10
Murat Öztürk
Gebze Technical University

Rising Stars Papers

1
Supershear triggering and cascading fault ruptures of the 2023 Kahramanmaraş, Türkiye, earthquake doublet
Science|2024
151 cit.
2
Spatiotemporal Changes and Influencing Factors of the Coupled Production–Living–Ecological Functions in the Yellow River Basin, China
Land|2024
41 cit.
3
An integrated approach for prediction of magnitude using deep learning techniques
Neural Computing and Applications|2024
36 cit.
4
The multi-dimensional joint response of the electric potential time–frequency-field in the fracture process of flawed coal under dynamic load
Theoretical and Applied Fracture Mechanics|2024
27 cit.
5
Investigation of a Photovoltaic–Thermal Solar Dryer System with Double-Pass Solar Air Collectors and Absorber Surfaces Enhanced with Graphene Nanoparticles
Arabian Journal for Science and Engineering|2024
26 cit.
6
Electric Potential Response Characteristics of Coal Under Stress Wave Loading
Natural Resources Research|2024
21 cit.
7
Study on the propagation and multifractal characteristics of stress waves in coal based on electric potential and DIC characterization
Chaos Solitons & Fractals|2024
17 cit.
8
Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data
Geodesy and Geodynamics|2025
17 cit.
9
Path Loss Prediction in Urban Environments With Sionna-RT Based on Accurate Propagation Scene Models at 2.8 GHz
IEEE Transactions on Antennas and Propagation|2024
13 cit.
10
Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences
PLoS ONE|2025
12 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Marine Denolle
Earth and Space Research
2
Talat Iqbal
Abdus Salam Centre for Physics
3
Terry Law
Environmental Molecular Sciences Laboratory
4
Kelly Hatter
University of Michigan
5
Jianping Huang
Institute of Disaster Prevention
6
Jungkyo Jung
Jet Propulsion Laboratory
7
Sampad Kumar Panda
Koneru Lakshmaiah Education Foundation
8
Wooseok Seo
Pusan National University
9
Munawar Shah
Institute of Space Technology
10
Han Xiao
Tongji University

Emerging Leaders Papers

1
Ionospheric TEC Forecasting over an Indian Low Latitude Location Using Long Short-Term Memory (LSTM) Deep Learning Network
Universe|2022
40 cit.
2
Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing
Geophysical Research Letters|2024
39 cit.
3
Optimal stacking of noise cross-correlation functions
Geophysical Journal International|2022
37 cit.
4
Pronounced Seismic Anisotropy in Kanto Sedimentary Basin: A Case Study of Using Dense Arrays, Ambient Noise Seismology, and Multi‐Modal Surface‐Wave Imaging
Journal of Geophysical Research Solid Earth|2022
35 cit.
5
The Seismic Signature of California's Earthquakes, Droughts, and Floods
Journal of Geophysical Research Solid Earth|2023
31 cit.
6
Locating the Precise Sources of High‐Frequency Microseisms Using Distributed Acoustic Sensing
Geophysical Research Letters|2022
29 cit.
7
Ionospheric Total Electron Content Forecasting at a Low-Latitude Indian Location Using a Bi-Long Short-Term Memory Deep Learning Approach
IEEE Transactions on Plasma Science|2023
28 cit.
8
Possible seismo-ionospheric anomalies associated with M  > 5.0 earthquakes during 2000–2020 from GNSS TEC
Advances in Space Research|2022
26 cit.
9
Applying support vector machine (SVM) using GPS-TEC and Space Weather parameters to distinguish ionospheric disturbances possibly related to earthquakes
Advances in Space Research|2023
20 cit.
10
Better Together: Ensemble Learning for Earthquake Detection and Phase Picking
IEEE Transactions on Geoscience and Remote Sensing|2023
20 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Hiroo Kanamori
California Institute of Technology
2
John Woodhouse
University of Oxford
3
Masashi Hayakawa
Nagoya Ekisaikai Hospital
4
Gregory C. Beroza
Stanford University
5
C. T. Russell
Planetary Science Institute
6
Didier Sornette
Southern University of Science and Technology
7
R. B. Horne
British Antarctic Survey
8
Yehuda Ben‐Zion
University of Southern California
9
A. A. Mamun
Bangladesh University of Engineering and Technology
10
M. Y. Yu
Shandong University

Current Senior Leaders Papers

1
A moment magnitude scale
Journal of Geophysical Research Atmospheres|1979
4k cit.
2
Determination of earthquake source parameters from waveform data for studies of global and regional seismicity
Journal of Geophysical Research Atmospheres|1981
3.2k cit.
3
Theoretical basis of some empirical relations in seismology
CaltechAUTHORS (California Institute of Technology)|1975
2.9k cit.
4
The energy release in great earthquakes
Journal of Geophysical Research Atmospheres|1977
2.5k cit.
5
Dust-acoustic waves in dusty plasmas
Planetary and Space Science|1990
2.2k cit.
6
Moho depth variation in southern California from teleseismic receiver functions
Journal of Geophysical Research Atmospheres|2000
1.5k cit.
7
An empirical relationship between interplanetary conditions and<i>Dst</i>
Journal of Geophysical Research Atmospheres|1975
1.4k cit.
8
Back‐arc opening and the mode of subduction
Journal of Geophysical Research Atmospheres|1979
1.3k cit.
9
The Magnetospheric Multiscale Magnetometers
Space Science Reviews|2014
1.2k cit.
10
Mapping the upper mantle: Three‐dimensional modeling of earth structure by inversion of seismic waveforms
Journal of Geophysical Research Atmospheres|1984
1.2k cit.

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