Lithosphere–atmosphere–ionosphere coupling during the September 2015 Coquimbo earthquake

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Adhikari, B, et al. “Lithosphere–atmosphere–ionosphere Coupling During the September 2015 Coquimbo Earthquake”. Journal of Earth System Science, vol. 133, no. 1, 2024, https://doi.org/10.1007/s12040-023-02222-x.
Adhikari, B., Klausner, V., Cândido, C. M. N., Poudel, P., Gimenes, H. M., Silwal, A., Gautam, S. P., Calabia, A., & Shah, M. (2024). Lithosphere–atmosphere–ionosphere coupling during the September 2015 Coquimbo earthquake. Journal of Earth System Science, 133(1). https://doi.org/10.1007/s12040-023-02222-x
Adhikari, B, V Klausner, C M N Cândido, P Poudel, H M Gimenes, A Silwal, S P Gautam, A Calabia, and Munawar Shah. “Lithosphere–atmosphere–ionosphere Coupling During the September 2015 Coquimbo Earthquake”. Journal of Earth System Science 133, no. 1 (2024). https://doi.org/10.1007/s12040-023-02222-x.
Adhikari B, Klausner V, Cândido CMN, Poudel P, Gimenes HM, Silwal A, et al. Lithosphere–atmosphere–ionosphere coupling during the September 2015 Coquimbo earthquake. Journal of Earth System Science. 2024;133(1).
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The category Science: Geology 55 is the most frequently represented among the references in this article. It primarily includes studies from Pure and Applied Geophysics and Earth and Space Science. The chart below illustrates the number of referenced publications per year.
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Citations
Title Journal Journal Categories Citations Publication Date
Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods Natural Hazards
  • Science: Geology
  • Science: Physics: Meteorology. Climatology
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Science: Geology
  • Science: Geology
 2024
Citations Analysis
Category Category Repetition
Science: Geology1
Science: Physics: Meteorology. Climatology1
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)1
The category Science: Geology 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods and was published in 2024. The most recent citation comes from a 2024 study titled Atmospheric precursors associated with two Mw > 6.0 earthquakes using machine learning methods. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the Natural Hazards cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year