Acta Geophysica

Aims & Scope

Acta Geophysica is an international journal dealing with all aspects of general and applied geophysics.

This broad scope is divided into five main categories: solid Earth sciences, hydrology, atmospheric sciences, space sciences and applied geophysics.

The editors encourage also submission of articles on topics where geology, geodesy or environmental studies interfere with geophysics.

Acta Geophysica publishes all kinds of high quality contributions: research and review articles, short communications as well as comments to published papers, and letters to the editor.

Proposals for special, topical issues are also welcome, for which careful assistance of the editorial team matches considerable independency granted to their Guest Editors.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.00

Journal Rank

Year	Value
2024	11305

Journal Citation Indicator

Year	Value
2024	1438

SJR (SCImago Journal Rank)

Year	Value
2024	0.514

Quartile

Year	Value
2024	Q2

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Flow and transport in channels with submerged vegetation

  Citation: 289

  Authors: Heidi, Marco

• Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting

  Citation: 261

  Authors: Bibhuti Bhusan, Ramakar, Anshuman, Deepak

• Statistical tools for maximum possible earthquake magnitude estimation

  Citation: 145

  Authors: Andrzej, Mayshree

• Fitting and goodness-of-fit test of non-truncated and truncated power-law distributions

  Citation: 143

  Authors: Anna, Álvaro

• Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

  Citation: 135

  Authors: Hoang, Xuan-Nam, Hoang-Bac, Dao Trong

• Flood risk assessment and mapping using AHP in arid and semiarid regions

  Citation: 121

  Authors: Farid, A. A., Amr

• Toward a unified solid state theory for pre-earthquake signals

  Citation: 117

  Authors: Friedemann

• Turbulence in mobile-bed streams

  Citation: 110

  Authors: Subhasish, Ratul, Roberto, Sujit K.

• Predictability of monthly temperature and precipitation using automatic time series forecasting methods

  Citation: 110

  Authors: Georgia, Hristos, Demetris

• Visibility graph analysis of geophysical time series: Potentials and possible pitfalls

  Citation: 106

  Authors: Reik V., Jonathan F.

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