Valentino Lauciani

1.3k total citations
29 papers, 632 citations indexed

About

Valentino Lauciani is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Valentino Lauciani has authored 29 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geophysics, 17 papers in Artificial Intelligence and 5 papers in Civil and Structural Engineering. Recurrent topics in Valentino Lauciani's work include Seismology and Earthquake Studies (16 papers), earthquake and tectonic studies (16 papers) and Seismic Waves and Analysis (7 papers). Valentino Lauciani is often cited by papers focused on Seismology and Earthquake Studies (16 papers), earthquake and tectonic studies (16 papers) and Seismic Waves and Analysis (7 papers). Valentino Lauciani collaborates with scholars based in Italy and Germany. Valentino Lauciani's co-authors include Alberto Michelini, Licia Faenza, L. Malagnini, Dario Jozinović, S. Cianetti, Lucia Luzi, Rodolfo Puglia, Giovanni Lanzano, Carlo Giunchi and Matteo Quintiliani and has published in prestigious journals such as Computers & Geosciences, Eos and Natural hazards and earth system sciences.

In The Last Decade

Valentino Lauciani

27 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentino Lauciani Italy 12 443 287 206 42 27 29 632
K. R. Gledhill New Zealand 22 1.1k 2.5× 144 0.5× 182 0.9× 31 0.7× 38 1.4× 37 1.2k
Pepen Supendi Indonesia 15 692 1.6× 76 0.3× 85 0.4× 45 1.1× 20 0.7× 84 868
Licia Faenza Italy 15 724 1.6× 513 1.8× 229 1.1× 72 1.7× 26 1.0× 50 967
A. Gorini Italy 12 436 1.0× 359 1.3× 81 0.4× 20 0.5× 35 1.3× 17 585
Mustafa Erdik Türkiye 11 281 0.6× 248 0.9× 192 0.9× 23 0.5× 21 0.8× 35 496
Margaret G. Hopper United States 11 646 1.5× 432 1.5× 186 0.9× 56 1.3× 13 0.5× 27 819
P. Augliera Italy 18 845 1.9× 426 1.5× 158 0.8× 45 1.1× 40 1.5× 49 993
Maddalena Michele Italy 13 756 1.7× 120 0.4× 238 1.2× 44 1.0× 39 1.4× 22 815
Nasser A. Marafi United States 13 322 0.7× 427 1.5× 50 0.2× 49 1.2× 6 0.2× 19 576
S. Marcucci Italy 13 389 0.9× 346 1.2× 67 0.3× 19 0.5× 33 1.2× 15 535

Countries citing papers authored by Valentino Lauciani

Since Specialization
Citations

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

Fields of papers citing papers by Valentino Lauciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentino Lauciani

This figure shows the co-authorship network connecting the top 25 collaborators of Valentino Lauciani. A scholar is included among the top collaborators of Valentino Lauciani 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 Valentino Lauciani. Valentino Lauciani 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.
2.
Michelini, Alberto, et al.. (2021). INSTANCE – the Italian seismic dataset for machine learning. Earth system science data. 13(12). 5509–5544. 83 indexed citations
3.
Bono, Andrea, Valentino Lauciani, Lucia Margheriti, & Matteo Quintiliani. (2021). Caravel: A New Earthworm-Based Open-Source Development for the Italian Seismic Monitoring System. Seismological Research Letters. 92(3). 1738–1746. 3 indexed citations
4.
Greco, Luca, et al.. (2021). Spectral Characterization and Spatiotemporal Variability of the Background Seismic Noise in Italy. Earth and Space Science. 8(10). 11 indexed citations
5.
Margheriti, Lucia, Matteo Quintiliani, Andrea Bono, et al.. (2020). #IStayhome and Guarantee Seismic Surveillance and Tsunami Warning during the COVID-19 Emergency in Italy. Seismological Research Letters. 92(1). 53–59. 4 indexed citations
6.
Baccheschi, Paola, Lucia Margheriti, Diana Latorre, et al.. (2019). High quality comprehensive earthquake catalog of the Amatrice-Visso-Norcia seismic sequence (central Italy, Italian seismic Bulletin 2016-2018). AGU Fall Meeting Abstracts. 2019. 1 indexed citations
7.
Cauzzi, Carlo, John Clinton, Licia Faenza, et al.. (2018). ShakeMapEU: Towards an Integrated European ShakeMap System. EGU General Assembly Conference Abstracts. 9016. 1 indexed citations
8.
Luzi, Lucia, Francesca Pacor, Rodolfo Puglia, et al.. (2017). The Central Italy Seismic Sequence between August and December 2016: Analysis of Strong‐Motion Observations. Seismological Research Letters. 88(5). 1219–1231. 62 indexed citations
9.
Michele, Maddalena, Raffaele Di Stefano, Lauro Chiaraluce, et al.. (2016). The Amatrice 2016 seismic sequence: a preliminary look at the mainshock and aftershocks distribution. Annals of Geophysics. 59. 74 indexed citations
10.
Pintore, Stefano, Fabrizio Bernardi, Andrea Bono, et al.. (2016). INGV data lifecycle management system performances during Mw 6.0 2016 Amatrice earthquake sequence. Annals of Geophysics. 59. 3 indexed citations
11.
Comunello, Francesca, et al.. (2015). No misunderstandings during earthquakes: Elaborating and testing a standardized tweet structure for automatic earthquake detection information. International Conference on Information Systems for Crisis Response and Management. 2 indexed citations
12.
Bernardi, Fabrizio, Anthony Lomax, Alberto Michelini, et al.. (2015). Appraising the Early-est earthquake monitoring system for tsunami alerting at the Italian Candidate Tsunami Service Provider. Natural hazards and earth system sciences. 15(9). 2019–2036. 14 indexed citations
13.
Govoni, Aladino, et al.. (2015). UMTS rapid response real-time seismic networks: implementation and strategies at INGV. Advances in geosciences. 41. 35–42.
14.
Bernardi, Fabrizio, Valentino Lauciani, Anthony Lomax, et al.. (2014). Performance analysis of the Early-Est software within the tsunami early warning system installed at the INGV. EGUGA. 14884. 3 indexed citations
15.
Michelini, Alberto, Alessandro Amato, Roberto Basili, et al.. (2014). Introducing CAT (Centro di Allerta Tsunami), the Italian candidate Tsunami Watch Provider (It-cTWP) for the Mediterranean. EGU General Assembly Conference Abstracts. 15646. 1 indexed citations
16.
Faenza, Licia, Simona Pierdominici, Romano Camassi, et al.. (2013). The ShakeMap Atlas for the City of Naples, Italy. Seismological Research Letters. 84(6). 963–972. 5 indexed citations
17.
Lauciani, Valentino, Licia Faenza, & Alberto Michelini. (2012). ShakeMaps during the Emilia sequence. Annals of Geophysics. 55(4). 14 indexed citations
18.
Lauciani, Valentino, et al.. (2010). The 2010 Chile Earthquake: Rapid Assessments of Tsunami. Eos. 91(35). 305–306. 7 indexed citations
19.
Bono, A., et al.. (2010). Tuning an Earthworm phase picker: some considerations on the pick_ew parameters. 7 indexed citations
20.
Faenza, Licia, Valentino Lauciani, & Alberto Michelini. (2009). Shakemaps of the L'Aquila main shock. AGU Fall Meeting Abstracts. 2009. 2 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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