Angelo De Santis

4.3k total citations
154 papers, 2.7k citations indexed

About

Angelo De Santis is a scholar working on Geophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Angelo De Santis has authored 154 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Geophysics, 64 papers in Molecular Biology and 34 papers in Artificial Intelligence. Recurrent topics in Angelo De Santis's work include Earthquake Detection and Analysis (87 papers), Geomagnetism and Paleomagnetism Studies (64 papers) and earthquake and tectonic studies (62 papers). Angelo De Santis is often cited by papers focused on Earthquake Detection and Analysis (87 papers), Geomagnetism and Paleomagnetism Studies (64 papers) and earthquake and tectonic studies (62 papers). Angelo De Santis collaborates with scholars based in Italy, China and Spain. Angelo De Santis's co-authors include Fco. Javier Pavón–Carrasco, Gianfranco Cianchini, J. M. Torta, Dedalo Marchetti, Alessandro Piscini, Marı́a Luisa Osete, Maurizio Fedi, T. Quarta, Paolo Favali and Enkelejda Qamili and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Angelo De Santis

143 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Angelo De Santis Italy 28 1.9k 869 701 465 386 154 2.7k
C. G. A. Harrison United States 34 2.5k 1.3× 1.2k 1.4× 276 0.4× 1.3k 2.7× 246 0.6× 123 3.8k
Mioara Mandéa France 38 2.2k 1.1× 3.3k 3.7× 188 0.3× 1.0k 2.2× 1.7k 4.3× 179 4.5k
Arnaud Chulliat France 25 833 0.4× 1.2k 1.4× 113 0.2× 317 0.7× 703 1.8× 65 1.6k
Dominique Gibert France 29 1.6k 0.8× 415 0.5× 106 0.2× 226 0.5× 179 0.5× 103 2.5k
S. Maus United States 45 3.8k 1.9× 2.9k 3.3× 378 0.5× 660 1.4× 2.4k 6.3× 126 6.6k
Jean‐Louis Le Mouël France 42 2.8k 1.5× 3.3k 3.8× 175 0.2× 1.5k 3.2× 1.6k 4.2× 190 5.6k
Richard J. Blakely United States 34 6.3k 3.3× 1.4k 1.6× 973 1.4× 1.0k 2.2× 224 0.6× 162 7.2k
D. E. Smylie Canada 24 1.3k 0.7× 641 0.7× 111 0.2× 182 0.4× 397 1.0× 58 2.1k
Gauthier Hulot France 35 2.3k 1.2× 3.7k 4.3× 125 0.2× 2.0k 4.2× 1.3k 3.4× 112 4.4k
Jeffrey D. Phillips United States 21 1.9k 1.0× 589 0.7× 497 0.7× 145 0.3× 85 0.2× 78 2.4k

Countries citing papers authored by Angelo De Santis

Since Specialization
Citations

This map shows the geographic impact of Angelo De Santis'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 Angelo De Santis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo De Santis more than expected).

Fields of papers citing papers by Angelo De Santis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo De Santis. 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 Angelo De Santis. The network helps show where Angelo De Santis may publish in the future.

Co-authorship network of co-authors of Angelo De Santis

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo De Santis. A scholar is included among the top collaborators of Angelo De Santis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angelo De Santis. Angelo De Santis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Santis, Angelo De, et al.. (2025). Beyond Classical Multipoles: The Magnetic Metapole as an Extended Field Source. SHILAP Revista de lepidopterología. 5(3). 25–25.
2.
Santis, Angelo De, et al.. (2025). Foundations for an Operational Earthquake Prediction System. Geosciences. 15(2). 69–69.
3.
Fidani, Cristiano, et al.. (2024). Investigating a Possible Correlation between NOAA-Satellite-Detected Electron Precipitations and South Pacific Tectonic Events. Remote Sensing. 16(6). 1059–1059. 1 indexed citations
4.
Balasis, Georgios, Angelo De Santis, Constantinos Papadimitriou, et al.. (2024). Swarm Investigation of Ultra-Low-Frequency (ULF) Pulsation and Plasma Irregularity Signatures Potentially Associated with Geophysical Activity. Remote Sensing. 16(18). 3506–3506. 1 indexed citations
5.
Cianchini, Gianfranco, Angelo De Santis, Alessandro Piscini, et al.. (2024). The Preparation Phase of the 2023 Kahramanmaraş (Turkey) Major Earthquakes from a Multidisciplinary and Comparative Perspective. Remote Sensing. 16(15). 2766–2766. 11 indexed citations
6.
Rahimi, Habib, et al.. (2024). Successful Tests on Detecting Pre-Earthquake Magnetic Field Signals from Space. Remote Sensing. 16(16). 2985–2985. 3 indexed citations
7.
Perinelli, Alessio, Leonardo Ricci, Angelo De Santis, & R. Iuppa. (2024). Earthquakes unveil the global-scale fractality of the lithosphere. Communications Earth & Environment. 5(1). 5 indexed citations
8.
9.
Akhoondzadeh, Mehdi & Angelo De Santis. (2022). Is the Apparent Correlation between Solar-Geomagnetic Activity and Occurrence of Powerful Earthquakes a Casual Artifact?. Atmosphere. 13(7). 1131–1131. 15 indexed citations
10.
Xiong, Pan, Dedalo Marchetti, Angelo De Santis, Xuemin Zhang, & Xuhui Shen. (2021). SafeNet: SwArm for Earthquake Perturbations Identification Using Deep Learning Networks. Remote Sensing. 13(24). 5033–5033. 15 indexed citations
11.
Marchetti, Dedalo, Angelo De Santis, Shuanggen Jin, et al.. (2020). Co-Seismic Magnetic Field Perturbations Detected by Swarm Three-Satellite Constellation. Remote Sensing. 12(7). 1166–1166. 13 indexed citations
12.
Ghamry, Essam, Dedalo Marchetti, Akimasa Yoshikawa, et al.. (2020). The First Pi2 Pulsation Observed by China Seismo-Electromagnetic Satellite. Remote Sensing. 12(14). 2300–2300. 9 indexed citations
13.
Marchetti, Dedalo, Angelo De Santis, Saioa A. Campuzano, et al.. (2020). Swarm Satellite Magnetic Field Data Analysis Prior to 2019 Mw = 7.1 Ridgecrest (California, USA) Earthquake. Geosciences. 10(12). 502–502. 13 indexed citations
14.
Spogli, Luca, Dario Sabbagh, Mauro Regi, et al.. (2020). Ionospheric Response Over Brazil to the August 2018 Geomagnetic Storm as Probed by CSES‐01 and Swarm Satellites and by Local Ground‐Based Observations. Journal of Geophysical Research Space Physics. 126(2). 52 indexed citations
15.
Campuzano, Saioa A., Gianfranco Cianchini, Angelo De Santis, et al.. (2020). Rikitake Law, relating precursor time and earthquake magnitude, confirmed by Swarm satellite data. 1 indexed citations
16.
Ippolito, Alessandro, Loredana Perrone, Angelo De Santis, & Dario Sabbagh. (2020). Ionosonde Data Analysis in Relation to the 2016 Central Italian Earthquakes. Geosciences. 10(9). 354–354. 12 indexed citations
17.
18.
Santis, Angelo De, Gianfranco Cianchini, Rita Di Giovambattista, et al.. (2018). Geosystemics and Earthquakes. Biogeosciences (European Geosciences Union). 1 indexed citations
19.
Campuzano, Saioa A., Angelo De Santis, Fco. Javier Pavón–Carrasco, Marı́a Luisa Osete, & Enkelejda Qamili. (2016). Transfer Entropy between South Atlantic Anomaly and Global Sea Level for the last 300 years. 3 indexed citations
20.
Wu, Lixin, et al.. (2016). Geosphere coupling and hydrothermal anomalies before the 2009 M w  6.3 L'Aquila earthquake in Italy. Natural hazards and earth system sciences. 16(8). 1859–1880. 36 indexed citations

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.

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