S. Barba

1.7k citations
50 papers · 1.4k indexed · h-index 21

S. Barba

48 papers receiving 1.3k citations

Peers

S. Barba
Comparison fields: 5 of 51
  • Geophysics 1.2k
  • Civil and Structural Engineering 237
  • Earth-Surface Processes 37
  • Management, Monitoring, Policy and Law 60
  • Artificial Intelligence 137
Replace Lucia Margheriti with:
Lucia Margheriti Italy
Abdelkrim Aoudia Italy
J. G. Armbruster United States
Prantik Mandal India
N. Purnachandra Rao India
Harshul Gupta India
John Ristau New Zealand
A. Arda Özacar Türkiye
D. Srinagesh India
Luciano Scarfì Italy
S. Barba relative to Lucia Margheriti Italy Lucia Margheriti's profile →
Citations per field
00.5×1.5×1.8×
Lucia Margheriti · 1×
Citations per year

Countries citing papers authored by S. Barba

Since Specialization
Citations

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

Fields of papers citing papers by S. Barba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S. Barba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Barba Line = papers co-authored together S. Barba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20209
2 202010
3 201720
4 201714
5 201620
6 201637
7 201514
8 201321
9 201126
10 201091
11
Post-seismic slip on the 6th April 2009 L'Aquila earthquake surface rupture, measured using a terrestrial laser scanner (tripod-mounted lidar)
20091
12 20092
13
Depth of the seismogenic layer in Italy
20081
14 200750
15 20057
16
Does Tectonic Knowledge Help Identifying Accelerating Moment Release Prior to Large Earthquakes? Examples From Italy
20041
17 200116
18 19951
19 19951
20 19941

About S. Barba

S. Barba is a scholar working on Geophysics, Artificial Intelligence, Civil and Structural Engineering, Geology and Management, Monitoring, Policy and Law, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include earthquake and tectonic studies (44 papers), Seismic Waves and Analysis (21 papers), High-pressure geophysics and materials (16 papers), Geological and Geochemical Analysis (14 papers), Geological and Geophysical Studies Worldwide (11 papers), Seismology and Earthquake Studies (10 papers), Earthquake Detection and Analysis (9 papers) and Seismic Imaging and Inversion Techniques (7 papers). The work is most often cited by research in Geophysics (1.2k citations), Civil and Structural Engineering (237 citations), Earth-Surface Processes (37 citations), Management, Monitoring, Policy and Law (60 citations) and Artificial Intelligence (137 citations). S. Barba has collaborated with scholars based in Italy, Germany and Australia. Frequent co-authors include Roberto Basili, Eugenio Carminati, Michele M. C. Carafa, Carlo Doglioni, Federica Riguzzi, Gianluca Valensise, E. Boschi, C. Meletti, Massimiliano Stucchi and Gianfranco Vannucci. Their work appears in journals such as Tectonophysics, Geophysical Journal International, Journal of Geophysical Research Solid Earth, Terra Nova and Scientific Reports.

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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