Pedro Pazzoto Cacciari

500 total citations
24 papers, 370 citations indexed

About

Pedro Pazzoto Cacciari is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Environmental Engineering. According to data from OpenAlex, Pedro Pazzoto Cacciari has authored 24 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 10 papers in Mechanics of Materials and 5 papers in Environmental Engineering. Recurrent topics in Pedro Pazzoto Cacciari's work include Geotechnical Engineering and Underground Structures (9 papers), Rock Mechanics and Modeling (9 papers) and Geotechnical Engineering and Soil Mechanics (8 papers). Pedro Pazzoto Cacciari is often cited by papers focused on Geotechnical Engineering and Underground Structures (9 papers), Rock Mechanics and Modeling (9 papers) and Geotechnical Engineering and Soil Mechanics (8 papers). Pedro Pazzoto Cacciari collaborates with scholars based in Brazil, Canada and Portugal. Pedro Pazzoto Cacciari's co-authors include Marcos Massao Futai, Behzad V. Farahani, P.M.G.P. Moreira, Francisco Barros, Pedro J. Sousa, Paulo J. Tavares, Nilo César Consoli, Hugo Carlos Scheuermann Filho, André Pacheco de Assis and Márcio Muniz de Farias and has published in prestigious journals such as International Journal of Rock Mechanics and Mining Sciences, Canadian Geotechnical Journal and Rock Mechanics and Rock Engineering.

In The Last Decade

Pedro Pazzoto Cacciari

23 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Pazzoto Cacciari Brazil 11 233 132 99 75 71 24 370
Denis Thibodeau Canada 12 126 0.5× 266 2.0× 35 0.4× 33 0.4× 99 1.4× 25 391
Liangqing Wang China 13 281 1.2× 274 2.1× 33 0.3× 46 0.6× 196 2.8× 47 509
Flavio Lanaro Sweden 8 189 0.8× 214 1.6× 24 0.2× 74 1.0× 115 1.6× 14 369
Shuaihao Zhang China 11 184 0.8× 125 0.9× 21 0.2× 20 0.3× 123 1.7× 18 346
Joseph Anochie-Boateng South Africa 9 347 1.5× 71 0.5× 34 0.3× 24 0.3× 32 0.5× 43 439
Philippe Van Bogaert Belgium 12 409 1.8× 108 0.8× 87 0.9× 74 1.0× 9 0.1× 120 547
Tsan‐Hwei Huang Taiwan 12 329 1.4× 275 2.1× 23 0.2× 45 0.6× 131 1.8× 18 517
Helin Fu China 12 356 1.5× 232 1.8× 19 0.2× 28 0.4× 154 2.2× 39 552
Yong‐Ming Tien Taiwan 11 250 1.1× 106 0.8× 12 0.1× 25 0.3× 77 1.1× 24 371
Yiwen Qin China 12 310 1.3× 88 0.7× 21 0.2× 34 0.5× 107 1.5× 17 416

Countries citing papers authored by Pedro Pazzoto Cacciari

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Pazzoto Cacciari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Pazzoto Cacciari. 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 Pedro Pazzoto Cacciari. The network helps show where Pedro Pazzoto Cacciari may publish in the future.

Co-authorship network of co-authors of Pedro Pazzoto Cacciari

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Pazzoto Cacciari. A scholar is included among the top collaborators of Pedro Pazzoto Cacciari 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 Pedro Pazzoto Cacciari. Pedro Pazzoto Cacciari 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.
Cacciari, Pedro Pazzoto, et al.. (2025). Assessment of rock mass permeability and infiltration potential in tunnels using LIDAR-based mapping and DFN modeling. Tunnelling and Underground Space Technology. 166. 106980–106980.
2.
Faridmehr, Iman, et al.. (2024). Advanced method for estimating the volumetric intensity along tunnels using ANN. International Journal of Geotechnical Engineering. 18(2). 224–233. 1 indexed citations
3.
Cacciari, Pedro Pazzoto, et al.. (2023). On the mechanics of filtered compacted consolidated and overconsolidated iron ore tailings at high pressures. Canadian Geotechnical Journal. 61(3). 575–581. 1 indexed citations
4.
Consoli, Nilo César, et al.. (2023). Critical state analysis of two compacted filtered iron ore tailings with different gradings and mineralogy at different stages of treatment. Acta Geotechnica. 19(2). 881–898. 11 indexed citations
5.
Consoli, Nilo César, et al.. (2023). Determination of critical state line (CSL) for silty-sandy iron ore tailings subjected to low-high confining pressures. Journal of Rock Mechanics and Geotechnical Engineering. 16(5). 1684–1695. 11 indexed citations
6.
Cacciari, Pedro Pazzoto, et al.. (2022). Behavioural analysis of iron ore tailings through critical state soil mechanics. Soils and Rocks. 45(2). 1–13. 5 indexed citations
7.
Cacciari, Pedro Pazzoto, et al.. (2022). Mechanical behavior of iron ore tailings under standard compression and extension triaxial stress paths. Journal of Rock Mechanics and Geotechnical Engineering. 15(7). 1883–1894. 26 indexed citations
8.
Cacciari, Pedro Pazzoto, et al.. (2022). Influence of compaction on small-strain shear modulus of iron ore tailings. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering. 175(2). 247–260. 1 indexed citations
9.
Cacciari, Pedro Pazzoto & Marcos Massao Futai. (2020). The Influence of Fresh and Weathered Rock Foliation on the Stability of the Monte Seco Tunnel. Rock Mechanics and Rock Engineering. 54(2). 537–558. 13 indexed citations
10.
Cacciari, Pedro Pazzoto, et al.. (2020). Numerical Assessment of Factors Influencing the Tensile Strength of Rocks via Pull-Off Test. International Journal of Geomechanics. 20(7). 2 indexed citations
11.
Cacciari, Pedro Pazzoto & Marcos Massao Futai. (2019). Effects of mica content on rock foliation strength. International Journal of Rock Mechanics and Mining Sciences. 124. 104143–104143. 15 indexed citations
12.
Farahani, Behzad V., Francisco Barros, Pedro J. Sousa, et al.. (2019). A coupled 3D laser scanning and digital image correlation system for geometry acquisition and deformation monitoring of a railway tunnel. Tunnelling and Underground Space Technology. 91. 102995–102995. 81 indexed citations
13.
Cacciari, Pedro Pazzoto, et al.. (2019). Sand–concrete interface response: The role of surface texture and confinement conditions. SOILS AND FOUNDATIONS. 59(6). 1675–1694. 24 indexed citations
14.
Cacciari, Pedro Pazzoto, et al.. (2018). The Pull-Off Test for Obtaining the Tensile Strength of Rock Materials. PolyPublie (École Polytechnique de Montréal). 1 indexed citations
15.
Cacciari, Pedro Pazzoto, et al.. (2018). Efficient 3D probabilistic stability analysis of rock tunnels using a Lattice Model and cloud computing. Tunnelling and Underground Space Technology. 85. 282–293. 15 indexed citations
16.
Cacciari, Pedro Pazzoto, et al.. (2017). Modelamiento numérico de la formación e inestabilidad de bloques alrededor del túnel Monte Seco excavado en un macizo rocoso discontinuo. PolyPublie (École Polytechnique de Montréal). 54–64. 2 indexed citations
17.
Cacciari, Pedro Pazzoto, et al.. (2016). JRC estimation with 3D laser scanner images. 1 indexed citations
18.
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20.
Cacciari, Pedro Pazzoto & Marcos Massao Futai. (2015). Mapping and characterization of rock discontinuities in a tunnel using 3D terrestrial laser scanning. Bulletin of Engineering Geology and the Environment. 75(1). 223–237. 62 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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