37 citations as recorded by crossref.

1. Space weather hazards and their impact on human cardio-health state parameters on Earth H. Mavromichalaki et al. https://doi.org/10.1007/s11069-012-0306-2
2. Possible Causes of Instability of Reproduction of Heliobiological Results T. Zenchenko & T. Breus https://doi.org/10.7256/2730-0560.2023.1.39903
3. The Frequency‐Domain Characterization of Cosmic Ray Intensity Variations Before Forbush Decreases Associated With Geomagnetic Storms Q. Ye et al. https://doi.org/10.1029/2021SW002863
4. Interplanetary coronal mass ejection induced forbush decrease event:a simulation study with one-dimensional stochastic differential method . Ni Su-Lan et al. https://doi.org/10.7498/aps.66.139601
5. Human Physiological Parameters Related to Solar and Geomagnetic Disturbances: Data from Different Geographic Regions H. Mavromichalaki et al. https://doi.org/10.3390/atmos12121613
6. Precursory Signals of Forbush Decreases Not Connected with Shock Waves D. Lingri et al. https://doi.org/10.1007/s11207-022-01951-4
7. Heart Rate Variations During Two Historic Geomagnetic Storms: October and November 2003 M. Papailiou & H. Mavromichalaki https://doi.org/10.3390/atmos16060711
8. Forbush Decreases and Geomagnetic Storms During a Highly Disturbed Solar and Interplanetary Period, 4–10 September 2017 B. Badruddin et al. https://doi.org/10.1029/2018SW001941
9. Forbush Effects and Geomagnetic Storms A. Belov et al. https://doi.org/10.1134/S0016793224600097
10. Evolution of Cosmic-Ray Intensities While the Earth Was Engulfed by the Interplanetary Storm (Blob) of 1 – 3 October 2013 R. Kane https://doi.org/10.1007/s11207-014-0489-7
11. The Asymptotic Longitudinal Cosmic Ray Intensity Distribution as a Precursor of Forbush Decreases M. Papailiou et al. https://doi.org/10.1007/s11207-012-9945-4
12. Cosmic ray variations of solar origin in relation to human physiological state during the December 2006 solar extreme events M. Papailiou et al. https://doi.org/10.1016/j.asr.2008.08.009
13. Station-Ring Method in the Study of Cosmic-Ray Variations: 2. Examples of Its Use M. Abunina et al. https://doi.org/10.1134/S0016793220020024
14. Flare-forecasting Algorithms Based on High-gradient Polarity Inversion Lines in Active Regions D. Cicogna et al. https://doi.org/10.3847/1538-4357/abfafb
15. Method of Wavelet-Decomposition to Research Cosmic Ray Variations: Application in Space Weather O. Mandrikova & B. Mandrikova https://doi.org/10.3390/sym13122313
16. Method for Detection of Forbush Effects in Cosmic Ray Flux According to Neutron Monitors Data Using Wavelet Transform O. Mandrikova & B. Mandrikova https://doi.org/10.2205/2025ES000978
17. Storm Time Ionospheric-Tropospheric Dynamics: a Study Through Ionospheric and Lower Atmospheric Variability Features of High/Mid and Low Latitudes M. Devi et al. https://doi.org/10.1134/S001679321807006X
18. On the Most Interesting Solar-Wind and Cosmic-Ray Events in February–April 2023 S. Belov et al. https://doi.org/10.1007/s11207-024-02406-8
19. Forbush Decreases Associated with Western Solar Sources and Geomagnetic Storms: A Study on Precursors M. Papailiou et al. https://doi.org/10.1007/s11207-013-0231-x
20. Ring of Stations Method in Cosmic Rays Variations Research M. Abunina et al. https://doi.org/10.1007/s11207-020-01639-7
21. Study of the development and mechanism of large amplitude decreases in cosmic ray intensity during geomagnetic disturbances in the magnetosphere B. Badruddin et al. https://doi.org/10.1016/j.asr.2021.08.019
22. Vector anisotropy of cosmic rays in the beginning of Forbush effects A. Belov et al. https://doi.org/10.1134/S0016793217050036
23. Precursors of Forbush decreases connected to western solar sources and geomagnetic storms M. Papailiou et al. https://doi.org/10.1088/1742-6596/409/1/012182
24. Behavior of the cosmic ray density during the initial phase of the Forbush effect A. Belov et al. https://doi.org/10.1134/S0016793216060050
25. On energetic particles in space K. Kudela https://doi.org/10.2478/v10155-010-0098-4
26. Forbush decreases and geomagnetic storms A. Belov et al. https://doi.org/10.31857/S0016794024030015
27. Influence of Magnetic Clouds on Variations of Cosmic Rays in November 2004 X. Yu et al. https://doi.org/10.1007/s11207-010-9522-7
28. Forbush decreases during strong geomagnetic storms: time delays, rigidity effects, and ICME-driven modulation O. Ahmed et al. https://doi.org/10.1007/s10509-025-04477-w
29. Detection of Anomalies in Natural Complicated Data Structures Based on a Hybrid Approach O. Mandrikova et al. https://doi.org/10.3390/math11112464
30. Векторная анизотропия космических лучей в начале Форбуш-эффектов, "Геомагнетизм и аэрономия" А. Белов et al. https://doi.org/10.7868/S0016794017050030
31. Hybrid Method for Detecting Anomalies in Cosmic ray Variations Using Neural Networks Autoencoder O. Mandrikova & B. Mandrikova https://doi.org/10.3390/sym14040744
32. A New Method for Predicting Non‐Recurrent Geomagnetic Storms C. Wang et al. https://doi.org/10.1029/2023SW003522
33. Possible heliogeophysical effects on human physiological state S. Dimitrova https://doi.org/10.1017/S174392130902910X
34. Precursory Signs of Large Forbush Decreases M. Papailiou et al. https://doi.org/10.1007/s11207-021-01844-y
35. Precursory Signs of Large Forbush Decreases in Relation to Cosmic Rays Equatorial Anisotropy Variation M. Papailiou et al. https://doi.org/10.3390/atmos15070742
36. Traffic accidents and environmental physical activity E. Stoupel et al. https://doi.org/10.1007/s00484-009-0240-5
37. Precursory Signs of Large Forbush Decreases: The Criterion of Anisotropy M. Papailiou et al. https://doi.org/10.1007/s11207-024-02391-y