Leonardo Amoruso

744 total citations
13 papers, 206 citations indexed

About

Leonardo Amoruso is a scholar working on Artificial Intelligence, Geophysics and Aerospace Engineering. According to data from OpenAlex, Leonardo Amoruso has authored 13 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Geophysics and 4 papers in Aerospace Engineering. Recurrent topics in Leonardo Amoruso's work include Earthquake Detection and Analysis (5 papers), earthquake and tectonic studies (5 papers) and Seismology and Earthquake Studies (4 papers). Leonardo Amoruso is often cited by papers focused on Earthquake Detection and Analysis (5 papers), earthquake and tectonic studies (5 papers) and Seismology and Earthquake Studies (4 papers). Leonardo Amoruso collaborates with scholars based in Italy, China and Spain. Leonardo Amoruso's co-authors include Cristoforo Abbattista, Francesca Santoro, A. De Santis, Claudio Cesaroni, Dedalo Marchetti, Luca Spogli, Angelo De Santis, Gianfranco Cianchini, Alessandro Piscini and Loredana Perrone and has published in prestigious journals such as Pure and Applied Geophysics, Annales Geophysicae and Acta Astronautica.

In The Last Decade

Leonardo Amoruso

11 papers receiving 205 citations

Peers

Leonardo Amoruso

GEOPH

AI

AE

MT

ECOLO

Francesca Santoro Italy

L. Castellana Italy

Cristoforo Abbattista Italy

Kaiguang Zhu China

I. M. Aleshin Russia

Kevan Kamibayashi United States

Cédric Twardzik France

Joydeep Bhattacharyya United States

Araceli García‐Yeguas Spain

L. Antolik United States

Francesca Santoro Italy

Leonardo Amoruso

134 ×1.0

GEOPH

72 ×1.0

AI

8 ×0.3

AE

24 ×1.0

MT

18 ×1.0

ECOLO

Citations per year, relative to Leonardo Amoruso Leonardo Amoruso (= 1×) peers Francesca Santoro

Countries citing papers authored by Leonardo Amoruso

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Amoruso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Amoruso. 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 Leonardo Amoruso. The network helps show where Leonardo Amoruso may publish in the future.

Co-authorship network of co-authors of Leonardo Amoruso

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Amoruso. A scholar is included among the top collaborators of Leonardo Amoruso 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 Leonardo Amoruso. Leonardo Amoruso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Santoro, Francesca, Francesco V. Pepe, Leonardo Amoruso, et al.. (2024). GPU-based data processing for speeding-up correlation plenoptic imaging. The European Physical Journal Plus. 139(12).

2.

Fortunato, Vito, et al.. (2023). A novel multi-mission platform for the development of applications, services, and new satellite data algorithms directly in orbit and on-demand, the Italian In-Orbit Space Lab. 1–4. 1 indexed citations

3.

Cianchini, Gianfranco, Angelo De Santis, Rita Di Giovambattista, et al.. (2020). Revised Accelerated Moment Release Under Test: Fourteen Worldwide Real Case Studies in 2014–2018 and Simulations. Pure and Applied Geophysics. 177(9). 4057–4087. 15 indexed citations

4.

Santis, Angelo De, Cristoforo Abbattista, Lucilla Alfonsi, et al.. (2019). Geosystemics View of Earthquakes. Entropy. 21(4). 412–412. 41 indexed citations

5.

Santis, Angelo De, Dedalo Marchetti, Luca Spogli, et al.. (2019). Magnetic Field and Electron Density Data Analysis from Swarm Satellites Searching for Ionospheric Effects by Great Earthquakes: 12 Case Studies from 2014 to 2016. Atmosphere. 10(7). 371–371. 55 indexed citations

6.

Guarini, Rocchina, R. Loizzo, Claudia Facchinetti, et al.. (2018). Prisma Hyperspectral Mission Products. 179–182. 37 indexed citations

7.

Santis, Angelo De, Gianfranco Cianchini, Rita Di Giovambattista, et al.. (2018). Geosystemics and Earthquakes. Biogeosciences (European Geosciences Union). 1 indexed citations

8.

Amoruso, Leonardo, C. J. Owen, Rossana De Marco, et al.. (2018). Solar wind analyzer - The solar orbiter milestone towards on-board intelligent decision making systems. UCL Discovery (University College London).

9.

Perrone, Loredana, Angelo De Santis, Cristoforo Abbattista, et al.. (2018). Ionospheric anomalies detected by ionosonde and possibly related to crustal earthquakes in Greece. Annales Geophysicae. 36(2). 361–371. 24 indexed citations

10.

Santoni, Fabio, et al.. (2018). Efficient and automatic image reduction framework for space debris detection based on GPU technology. Acta Astronautica. 145. 332–341. 24 indexed citations

11.

Santoni, Fabio, et al.. (2017). An efficient and automatic debris detection framework based on GPU technology. 1 indexed citations

12.

Ciminale, Marcello, et al.. (2016). Advances in Reconstructing Archaeological Magnetic Signals; an Algorithm for Filtering Noise due to the Ploughing Effect. Archaeological Prospection. 24(2). 87–99. 6 indexed citations

13.

Abbattista, Cristoforo, et al.. (2013). On-board Payload Data Processing from Earth to Space Segment. EPSC. 1 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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