Journal of Atmospheric and Solar-Terrestrial Physics

Papers
(The H4-Index of Journal of Atmospheric and Solar-Terrestrial Physics is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Evaluation of dB/dt amplitudes and sources over the Brazilian region during geomagnetic storms in the 2021–2022 biennium41
Editorial Board32
A model to estimate energy deposition within the geomagnetosphere using 28
A simple time-domain “2D” median filter for atmospheric electric field denoising25
Low latitude Pi2 pulsations at Desalpar, Gujarat, India: A statistical analysis of the influences of magnetic storms/substorms, seasons, and solar cycles24
Water vapor and cloud microphysical characteristics of a sea-effect snowstorm in Shandong Peninsula, China24
Multifractal and monofractal characteristics of ULF magnetic fields in Kachchh region, Gujarat, India: Prospects for earthquake precursor detection22
Multi-instrument study of a spread-F event at Arecibo linked to solar wind variations21
Quantitative assessment of ionospheric F-region variability under different geomagnetic storm conditions during 24th and 25th solar cycle at a low-mid latitude station, New Delhi21
The multiview observatory for solar terrestrial science (MOST)19
Emergent constraints for uncertainty reduction in climate projections18
Nighttime and seasonal variation of lower ionospheric parameters using tweek analysis during minimum solar activity period over low latitude18
Quasi-biennial modulation of total ozone distribution from equator to polar regions based on observations18
Low latitude atmospheric-ionospheric dynamical response to Prior, During, and Post stages of Super Cyclonic Storm “AMPHAN”17
Long-term air quality forecasting in Korba, India (2025–2047): A hybrid model using 44-year satellite data16
Characterization of gravity wave events detected in the low ionosphere at the Brazilian Antarctic Station16
Fine-tuning prior knowledge networks for seismic anomaly filtering in Schumann resonance16
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