Alessandro Pignatelli

910 total citations
28 papers, 687 citations indexed

About

Alessandro Pignatelli is a scholar working on Geophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Alessandro Pignatelli has authored 28 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geophysics, 8 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Alessandro Pignatelli's work include Geomagnetism and Paleomagnetism Studies (8 papers), Geophysical and Geoelectrical Methods (7 papers) and Earthquake Detection and Analysis (6 papers). Alessandro Pignatelli is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (8 papers), Geophysical and Geoelectrical Methods (7 papers) and Earthquake Detection and Analysis (6 papers). Alessandro Pignatelli collaborates with scholars based in Italy, Spain and United Kingdom. Alessandro Pignatelli's co-authors include M. Chiappini, Iacopo Nicolosi, D. Ravat, Fabio Speranza, Liliana Minelli, Fiorenzo Franceschini, Maurizio Galetto, Michael Pezzopane, M. Pietrella and L. R. Cander and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Journal International.

In The Last Decade

Alessandro Pignatelli

25 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Pignatelli Italy 13 507 132 86 84 83 28 687
Ben Mason United Kingdom 7 279 0.6× 14 0.1× 12 0.1× 19 0.2× 27 0.3× 14 488
Yonghong Zhou China 15 53 0.1× 127 1.0× 7 0.1× 24 0.3× 205 2.5× 65 668
J. P. Matthews Japan 16 90 0.2× 32 0.2× 18 0.2× 19 0.2× 102 1.2× 46 681
John Brittan United Kingdom 12 279 0.6× 14 0.1× 9 0.1× 19 0.2× 134 1.6× 42 504
P. Giese Germany 19 1.2k 2.3× 13 0.1× 46 0.5× 15 0.2× 4 0.0× 42 1.4k
Michael P. Ryan United States 8 845 1.7× 27 0.2× 48 0.6× 64 0.8× 21 1.1k
Sankar Bose India 20 1.1k 2.3× 23 0.2× 23 0.3× 172 2.0× 7 0.1× 55 1.4k
Michael C. Jordan Norway 5 500 1.0× 14 0.1× 11 0.1× 6 0.1× 7 0.1× 21 575
Xiong Xiong China 27 1.8k 3.5× 19 0.1× 55 0.6× 2 0.0× 8 0.1× 111 2.1k

Countries citing papers authored by Alessandro Pignatelli

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Pignatelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Pignatelli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Pignatelli. A scholar is included among the top collaborators of Alessandro Pignatelli 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 Alessandro Pignatelli. Alessandro Pignatelli 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.
Pignatelli, Alessandro, et al.. (2025). Deciphering earth's tremors: a machine learning approach to distinguish earthquakes from explosions. Journal of Seismology. 29(2). 525–534.
2.
Casale, Paolo & Alessandro Pignatelli. (2024). Use of deep learning to improve seismic data quality analysis. Annals of Geophysics. 67(3). SE320–SE320.
3.
4.
Pietrella, M., et al.. (2023). An Updating of the IONORT Tool to Perform a High-Frequency Ionospheric Ray Tracing. Remote Sensing. 15(21). 5111–5111. 2 indexed citations
5.
Pignatelli, Alessandro, et al.. (2022). A neural network based approach to classify VLF signals as rock rupture precursors. Scientific Reports. 12(1). 13744–13744. 2 indexed citations
6.
Pignatelli, Alessandro & Monica Piochi. (2021). Machine learning applied to rock geochemistry for predictive outcomes: The Neapolitan volcanic history case. Journal of Volcanology and Geothermal Research. 415. 107254–107254. 12 indexed citations
7.
Nicolosi, Iacopo, Francesca D’Ajello Caracciolo, Alessandro Pignatelli, & M. Chiappini. (2019). Imaging the Bracciano caldera system by aeromagnetic data inversion (Sabatini Volcanic District, Central Italy). Journal of Volcanology and Geothermal Research. 388. 106680–106680. 3 indexed citations
8.
Pignatelli, Alessandro, Iacopo Nicolosi, R. Carluccio, & M. Chiappini. (2018). GamField 2.0 - Significant advances to synthetic potential fields data generator. Annals of Geophysics. 61(1). GM112–GM112.
9.
Speranza, Fabio, Liliana Minelli, Alessandro Pignatelli, & M. Chiappini. (2012). The Ionian Sea: The oldest in situ ocean fragment of the world?. Journal of Geophysical Research Atmospheres. 117(B12). 102 indexed citations
10.
Pezzopane, Michael, M. Pietrella, Alessandro Pignatelli, B. Zolesi, & L. R. Cander. (2012). Testing the three-dimensional IRI-SIRMUP-P mapping of the ionosphere for disturbed periods. Advances in Space Research. 52(10). 1726–1736. 23 indexed citations
11.
Caracciolo, Francesca D’Ajello, Alessandro Pignatelli, Fabio Speranza, & A. Meloni. (2011). A re-evaluation of the Italian historical geomagnetic catalogue: implications for paleomagnetic dating at active Italian volcanoes. Solid Earth. 2(1). 65–74. 1 indexed citations
12.
Speranza, Fabio, Patrizia Landi, Francesca D’Ajello Caracciolo, & Alessandro Pignatelli. (2010). Paleomagnetic dating of the most recent silicic eruptive activity at Pantelleria (Strait of Sicily). Bulletin of Volcanology. 72(7). 847–858. 34 indexed citations
13.
Pignatelli, Alessandro, et al.. (2010). Graphical interactive generation of gravity and magnetic fields. Computers & Geosciences. 37(4). 567–572. 19 indexed citations
14.
Ravat, D., Alessandro Pignatelli, Iacopo Nicolosi, & M. Chiappini. (2007). A study of spectral methods of estimating the depth to the bottom of magnetic sources from near-surface magnetic anomaly data. Geophysical Journal International. 169(2). 421–434. 190 indexed citations
15.
Garcı́a, Alicia, M. Chiappini, R. Carluccio, et al.. (2007). High resolution magnetic anomaly map of Tenerife, Canary Islands. Annals of Geophysics. 50(5). 689–697. 7 indexed citations
16.
Pignatelli, Alessandro, et al.. (2007). Matlab software for the analysis of seismic waves recorded by three-element arrays. Computers & Geosciences. 34(7). 792–801. 2 indexed citations
17.
Pignatelli, Alessandro, Iacopo Nicolosi, & M. Chiappini. (2006). An alternative 3D inversion method for magnetic anomalies with depth resolution. Annals of Geophysics. 49(4-5). 8 indexed citations
18.
Nicolosi, Iacopo, et al.. (2006). Estimating the magnetization direction of crustal structures by means of an equivalent source algorithm. Physics of The Earth and Planetary Interiors. 155(1-2). 163–169. 27 indexed citations
19.
Ravat, D., Alessandro Pignatelli, Iacopo Nicolosi, & M. Chiappini. (2005). Comparison of Methods of Mapping the Depth to the Top and the Bottom of Magnetic Sources Using Layered and Random Synthetic Magnetic Models. AGU Spring Meeting Abstracts. 2005. 4 indexed citations
20.
Franceschini, Fiorenzo, et al.. (2003). Outsourcing: guidelines for a structured approach. Benchmarking An International Journal. 10(3). 246–260. 100 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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