Giovanni Spagnoli

2.5k total citations
146 papers, 1.8k citations indexed

About

Giovanni Spagnoli is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Ocean Engineering. According to data from OpenAlex, Giovanni Spagnoli has authored 146 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Civil and Structural Engineering, 32 papers in Safety, Risk, Reliability and Quality and 30 papers in Ocean Engineering. Recurrent topics in Giovanni Spagnoli's work include Grouting, Rheology, and Soil Mechanics (45 papers), Geotechnical Engineering and Underground Structures (37 papers) and Tunneling and Rock Mechanics (33 papers). Giovanni Spagnoli is often cited by papers focused on Grouting, Rheology, and Soil Mechanics (45 papers), Geotechnical Engineering and Underground Structures (37 papers) and Tunneling and Rock Mechanics (33 papers). Giovanni Spagnoli collaborates with scholars based in Italy, Germany and Japan. Giovanni Spagnoli's co-authors include Pierpaolo Oreste, David A. Rubinos, Cristina de Hollanda Cavalcanti Tsuha, Helge Stanjek, Rafig Azzam, Asuri Sridharan, Paul Doherty, Tomás Manuel Fernández-Steeger, Lucio Di Matteo and Claudio Oggeri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Géotechnique.

In The Last Decade

Giovanni Spagnoli

137 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Spagnoli Italy 24 1.4k 384 277 265 236 146 1.8k
Jianjun Ma China 22 937 0.7× 283 0.7× 581 2.1× 251 0.9× 152 0.6× 72 1.6k
Chin Jian Leo Australia 31 1.8k 1.3× 378 1.0× 350 1.3× 120 0.5× 138 0.6× 117 2.6k
Рамли Назир Malaysia 22 1.3k 0.9× 485 1.3× 218 0.8× 163 0.6× 91 0.4× 97 1.6k
Hamza Güllü Türkiye 30 2.0k 1.4× 252 0.7× 296 1.1× 243 0.9× 130 0.6× 47 2.4k
Honglei Sun China 28 1.6k 1.1× 301 0.8× 298 1.1× 177 0.7× 168 0.7× 153 2.2k
Ali Fırat Çabalar Türkiye 30 2.1k 1.5× 407 1.1× 310 1.1× 174 0.7× 260 1.1× 83 2.6k
Louis Ge Taiwan 26 1.4k 1.0× 372 1.0× 150 0.5× 103 0.4× 98 0.4× 93 1.7k
Xueyu Geng China 33 2.1k 1.5× 282 0.7× 470 1.7× 350 1.3× 382 1.6× 168 3.2k
António Viana da Fonseca Portugal 26 2.2k 1.6× 216 0.6× 170 0.6× 97 0.4× 133 0.6× 136 2.3k
Ö. Günaydın Türkiye 21 1.2k 0.8× 288 0.8× 658 2.4× 471 1.8× 140 0.6× 44 1.6k

Countries citing papers authored by Giovanni Spagnoli

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Spagnoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Spagnoli

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Spagnoli. A scholar is included among the top collaborators of Giovanni Spagnoli 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 Giovanni Spagnoli. Giovanni Spagnoli 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.
Spagnoli, Giovanni, et al.. (2024). A Bayesian clustered-multilevel updating for local undrained shear strength prediction of fine-grained soils. Applied Clay Science. 257. 107444–107444. 3 indexed citations
2.
Spagnoli, Giovanni, et al.. (2024). A super-learner machine learning model for a global prediction of compression index in clays. Applied Clay Science. 249. 107239–107239. 17 indexed citations
3.
Spagnoli, Giovanni & Pierpaolo Oreste. (2024). Statistical Interpretation of Jet Grouting Field Data Regarding Its Strength and Stiffness. Geotechnical and Geological Engineering. 43(1). 1 indexed citations
4.
Oreste, Pierpaolo & Giovanni Spagnoli. (2023). Two-dimensional numerical analysis on the rock/bolt interaction considering shear and normal relative displacements. Tunnelling and Underground Space Technology. 143. 105492–105492. 3 indexed citations
5.
Oreste, Pierpaolo & Giovanni Spagnoli. (2023). The characteristics of the two-component grout on the stress-state in segmental lining. Geotechnical and Geological Engineering. 42(2). 1223–1238. 1 indexed citations
6.
7.
Spagnoli, Giovanni, et al.. (2022). Improving the Performance of Deep Soil Mixing in Clay with Chemical Additives. Geo-Congress 2022. 186–195. 1 indexed citations
8.
Spagnoli, Giovanni, et al.. (2021). Statistics of Atterberg limit values of some pure kaolinitic clays. Geomechanics and Geoengineering. 18(2). 105–120. 2 indexed citations
9.
Modoni, Giuseppe, et al.. (2020). Experimental Evidence of the Effectiveness and Applicability of Colloidal Nanosilica Grouting for Liquefaction Mitigation. Journal of Geotechnical and Geoenvironmental Engineering. 146(10). 22 indexed citations
10.
Oreste, Pierpaolo, Ahmadreza Hedayat, & Giovanni Spagnoli. (2019). Effect of Gravity of the Plastic Zones on the Behavior of Supports in Very Deep Tunnels Excavated in Rock Masses. International Journal of Geomechanics. 19(9). 10 indexed citations
11.
Spagnoli, Giovanni, et al.. (2018). Parametric analysis for the estimation of the installation power for large helical piles in dry cohesionless soils. International Journal of Geotechnical Engineering. 14(5). 569–579. 12 indexed citations
12.
Oreste, Pierpaolo, et al.. (2018). A numerical model to assess the creep of shotcrete linings. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering. 172(4). 344–354. 6 indexed citations
13.
Spagnoli, Giovanni, et al.. (2017). Assessment of the Theoretical Net Relief Drilling Rate for Conductor Pipes. Geotechnical and Geological Engineering. 35(3). 1249–1259. 1 indexed citations
14.
15.
Spagnoli, Giovanni, Paul Doherty, Di Wu, & Mark A. Doherty. (2015). SOME MINERALOGICAL AND GEOTECHNICAL PROPERTIES OF CARBONATE AND SILICA SANDS IN RELATION TO A NOVEL MIXED-IN- PLACE PILE. Offshore Mediterranean Conference and Exhibition. 5 indexed citations
16.
Doherty, Paul, et al.. (2015). Mixed-in-place response of two carbonate sands. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering. 169(2). 153–163. 9 indexed citations
17.
Spagnoli, Giovanni, et al.. (2013). New Technologies for Offshore Piles Installation. Offshore Mediterranean Conference and Exhibition. 4 indexed citations
18.
Spagnoli, Giovanni. (2013). Some considerations regarding the use of helical piles as foundation for offshore structures. Soil Mechanics and Foundation Engineering. 50(3). 102–110. 26 indexed citations
19.
Spagnoli, Giovanni. (2012). Comparison between Casagrande and drop-cone methods to calculate liquid limit for pure clay. Canadian Journal of Soil Science. 92(6). 859–864. 27 indexed citations
20.
Spagnoli, Giovanni, et al.. (2010). Relevance of pore fluid composition for the drained strength of clays. RWTH Publications (RWTH Aachen). 8535.

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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