Laura Tonni

71 total papers · 492 total citations
37 papers, 284 citations indexed

About

Laura Tonni is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Ocean Engineering. According to data from OpenAlex, Laura Tonni has authored 37 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Civil and Structural Engineering, 9 papers in Management, Monitoring, Policy and Law and 5 papers in Ocean Engineering. Recurrent topics in Laura Tonni's work include Geotechnical Engineering and Soil Mechanics (18 papers), Geotechnical Engineering and Underground Structures (16 papers) and Geotechnical Engineering and Soil Stabilization (11 papers). Laura Tonni is often cited by papers focused on Geotechnical Engineering and Soil Mechanics (18 papers), Geotechnical Engineering and Underground Structures (16 papers) and Geotechnical Engineering and Soil Stabilization (11 papers). Laura Tonni collaborates with scholars based in Italy, United States and Spain. Laura Tonni's co-authors include Guido Gottardi, Paolo Simonini, Pablo Mira, Manuel Pastor, J. A. Fernández Merodo, Isabel Herreros, E. González, R. Tamagnini, Sara Amoroso and Kyle M. Rollins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Laura Tonni

32 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura Tonni 221 85 40 33 30 37 284
Fernando E. Garcia 168 0.8× 80 0.9× 41 1.0× 42 1.3× 19 0.6× 22 246
RC Chaney 238 1.1× 46 0.5× 29 0.7× 20 0.6× 14 0.5× 24 328
Linrong Xu 158 0.7× 91 1.1× 48 1.2× 9 0.3× 21 0.7× 30 281
André Luís Brasil Cavalcante 194 0.9× 76 0.9× 33 0.8× 11 0.3× 18 0.6× 62 280
Eurípedes A. Vargas 181 0.8× 124 1.5× 130 3.3× 14 0.4× 40 1.3× 22 312
Jeffrey R. Keaton 91 0.4× 152 1.8× 48 1.2× 26 0.8× 8 0.3× 50 273
Baitao Sun 245 1.1× 33 0.4× 19 0.5× 45 1.4× 7 0.2× 62 328
Anchi Shi 136 0.6× 196 2.3× 74 1.9× 22 0.7× 31 1.0× 33 319
Francesca Bozzoni 237 1.1× 40 0.5× 34 0.8× 97 2.9× 5 0.2× 34 317
Alessandro Graziani 167 0.8× 82 1.0× 129 3.2× 13 0.4× 15 0.5× 25 260

Countries citing papers authored by Laura Tonni

Since Specialization
Citations

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

Fields of papers citing papers by Laura Tonni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Tonni

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

All Works

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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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