# Earthquake Detection and Analysis

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/earthquake-detection-and-analysis/

## Facts

| Field | Value |
| --- | --- |
| Citations | 373,264 |
| Description | This cluster of papers focuses on the study of various phenomena that may serve as potential earthquake precursors, including ionospheric anomalies, seismic electromagnetics, pre-earthquake signals, thermal infrared emission, lithosphere-atmosphere-ionosphere coupling, electromagnetic radiation, and geoelectric potential changes. The research also involves monitoring seismic activity and developing earthquake prediction models. |
| Domain | Physical Sciences |
| Field | Earth and Planetary Sciences |
| OpenAlex ID | https://openalex.org/T12424 |
| Works | 139,044 |

## Topic papers all

- [Radon in homes and risk of lung cancer: collaborative analysis of individual data from 13 European case-control studies](https://scholariq.org/papers/radon-in-homes-and-risk-of-lung-cancer-collaborative-analysis-of-individual-data/)
- [Particle Acceleration in the Magnetotail and Aurora](https://scholariq.org/papers/particle-acceleration-in-the-magnetotail-and-aurora/)
- [Observation of thundercloud-related gamma rays and neutrons in Tibet](https://scholariq.org/papers/observation-of-thundercloud-related-gamma-rays-and-neutrons-in-tibet/)
- [Worldwide Statistical Correlation of Eight Years of Swarm Satellite Data with M5.5+ Earthquakes: New Hints about the Preseismic Phenomena from Space](https://scholariq.org/papers/worldwide-statistical-correlation-of-eight-years-of-swarm-satellite-data-with-m5/)
- [Predicting the Earthquake Magnitude Using the Multilayer Perceptron Neural Network with Two Hidden Layers](https://scholariq.org/papers/predicting-the-earthquake-magnitude-using-the-multilayer-perceptron-neural/)
- [RETRACTED ARTICLE: Improving earthquake prediction accuracy in Los Angeles with machine learning](https://scholariq.org/papers/retracted-article-improving-earthquake-prediction-accuracy-in-los-angeles-with/)
- [Threshold-based earthquake early warning for high-speed railways using deep learning](https://scholariq.org/papers/threshold-based-earthquake-early-warning-for-high-speed-railways-using-deep/)
- [Improvement of GAIA polar input and its application to September 2017 event](https://scholariq.org/papers/improvement-of-gaia-polar-input-and-its-application-to-september-2017-event/)
- [Eigenstate Transition Model for Successful Tests on Pre-Earthquake Prediction Through Magnetic Field Signals](https://scholariq.org/papers/eigenstate-transition-model-for-successful-tests-on-pre-earthquake-prediction/)

## Topic researchers

Showing 12 of 20.

- [S. Majewski](https://scholariq.org/researchers/s-majewski/)
- [S. Grancagnolo](https://scholariq.org/researchers/s-grancagnolo/)
- [D. I. Jones](https://scholariq.org/researchers/d-i-jones/)
- [C. T. Russell](https://scholariq.org/researchers/c-t-russell/)
- [P. Elmer](https://scholariq.org/researchers/p-elmer/)
- [F. Longo](https://scholariq.org/researchers/f-longo/)
- [R. D. Blandford](https://scholariq.org/researchers/r-d-blandford/)
- [Yoshinori Tokura](https://scholariq.org/researchers/yoshinori-tokura/)
- [J. J. Oh](https://scholariq.org/researchers/j-j-oh/)
- [V. Pierro](https://scholariq.org/researchers/v-pierro/)
- [D. Hoak](https://scholariq.org/researchers/d-hoak/)
- [J. R. Rice](https://scholariq.org/researchers/j-r-rice/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.