Antonella Peresan
- Geophysics top 2%
- earthquake and tectonic studies 60
- Earthquake Detection and Analysis 30
- Seismic Waves and Analysis 11
- High-pressure geophysics and materials 10
- Geological and Geochemical Analysis 6
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- Seismic Performance and Analysis 17
- Artificial Intelligence top 5%
- Seismology and Earthquake Studies 34
- Geochemistry and Geologic Mapping 6
Antonella Peresan
80 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 62
- Geophysics 878
- Civil and Structural Engineering 274
- Artificial Intelligence 385
- Management, Monitoring, Policy and Law 68
- Global and Planetary Change 48
Countries citing papers authored by Antonella Peresan
This map shows the geographic impact of Antonella Peresan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonella Peresan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella Peresan more than expected).
Fields of papers citing papers by Antonella Peresan
This network shows the impact of papers produced by Antonella Peresan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonella Peresan. The network helps show where Antonella Peresan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antonella Peresan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | An improved robust detection of quiescences by RTL algorithm | 2019 | 1 |
| 13 | 2019 | 20 | |
| 14 | Identification and characterization of earthquake clusters: a comparative analysis for selected sequences in Italy | 2017 | 8 |
| 15 | The Unified Scaling Law for Earthquakes in the Friuli Venezia Giulia Region | 2016 | 3 |
| 16 | 2010 | 11 | |
| 17 | 2010 | 54 | |
| 18 | Neo-deterministic seismic hazard scenarios for North-Eastern Italy | 2009 | 7 |
| 19 | PATTERN RECOGNITION METHODOLOGIES AND DETERMINISTIC EVALUATION OF SEISMIC HAZARD: A STRATEGY TO INCREASE EARTHQUAKE PREPAREDNESS | 2002 | 8 |
| 20 | 1999 | 5 |
About Antonella Peresan
Antonella Peresan is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include earthquake and tectonic studies (60 papers), Seismology and Earthquake Studies (34 papers), Earthquake Detection and Analysis (30 papers), Seismic Performance and Analysis (17 papers), Seismic Waves and Analysis (11 papers), High-pressure geophysics and materials (10 papers), Geological and Geochemical Analysis (6 papers) and Geochemistry and Geologic Mapping (6 papers). The work is most often cited by research in Geophysics (878 citations), Civil and Structural Engineering (274 citations) and Artificial Intelligence (385 citations). Antonella Peresan has collaborated with scholars based in Italy, Russia and China. Frequent co-authors include G. F. Panza, V. G. Kossobokov, Franco Vaccari, Stefania Gentili, Elisa Zuccolo, Andrea Magrin, Anastasia Nekrasova, Giovanni Costa, Assia Harbi and A. I. Gorshkov. Their work appears in journals such as Pure and Applied Geophysics, Physics of The Earth and Planetary Interiors, Engineering Geology, Natural Hazards and International Journal of Disaster Risk Reduction.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.