Daniel Barreto

726 total citations
23 papers, 559 citations indexed

About

Daniel Barreto is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Mechanics of Materials. According to data from OpenAlex, Daniel Barreto has authored 23 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 6 papers in Management, Monitoring, Policy and Law and 4 papers in Mechanics of Materials. Recurrent topics in Daniel Barreto's work include Geotechnical Engineering and Soil Mechanics (16 papers), Geotechnical Engineering and Soil Stabilization (9 papers) and Geotechnical Engineering and Underground Structures (7 papers). Daniel Barreto is often cited by papers focused on Geotechnical Engineering and Soil Mechanics (16 papers), Geotechnical Engineering and Soil Stabilization (9 papers) and Geotechnical Engineering and Underground Structures (7 papers). Daniel Barreto collaborates with scholars based in United Kingdom, Hungary and Italy. Daniel Barreto's co-authors include Catherine O’Sullivan, Zhongxuan Yang, Mengying Jiang, Yuan Xie, John McDougall, M. Ahmer Wadee, Kevin J. Hanley, Stefan Luding, Lidija Zdravković and Masami Nakagawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Géotechnique and SOILS AND FOUNDATIONS.

In The Last Decade

Daniel Barreto

20 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Barreto United Kingdom 11 477 237 137 73 36 23 559
Lifu Yang China 14 515 1.1× 135 0.6× 140 1.0× 135 1.8× 41 1.1× 22 616
Yangui Zhu China 9 389 0.8× 206 0.9× 148 1.1× 100 1.4× 35 1.0× 10 460
Joanna Butlańska Spain 7 402 0.8× 105 0.4× 171 1.2× 88 1.2× 42 1.2× 20 457
Ehsan Seyedi Hosseininia Iran 14 549 1.2× 143 0.6× 149 1.1× 84 1.2× 40 1.1× 42 622
Shuaihao Zhang China 11 184 0.4× 123 0.5× 106 0.8× 125 1.7× 44 1.2× 18 346
Danuta Leśniewska Poland 14 407 0.9× 149 0.6× 147 1.1× 100 1.4× 38 1.1× 35 504
F. Molenkamp Netherlands 11 380 0.8× 106 0.4× 60 0.4× 100 1.4× 26 0.7× 42 460
T. Triantafyllidis Germany 17 1.1k 2.3× 198 0.8× 70 0.5× 156 2.1× 52 1.4× 36 1.2k
Shiao Huey Chow Australia 16 526 1.1× 79 0.3× 81 0.6× 34 0.5× 29 0.8× 50 608
Jian‐Min Zhang China 15 722 1.5× 118 0.5× 58 0.4× 68 0.9× 13 0.4× 30 774

Countries citing papers authored by Daniel Barreto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Barreto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Barreto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Barreto. A scholar is included among the top collaborators of Daniel Barreto 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 Daniel Barreto. Daniel Barreto 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.
Barreto, Daniel, et al.. (2025). Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils. Cold Regions Science and Technology. 231. 104423–104423. 1 indexed citations
2.
Jiang, Mengying, et al.. (2025). Discrete Element Study of Particle Size Distribution Shape Governing Critical State Behavior of Granular Material. Fractal and Fractional. 9(1). 26–26. 1 indexed citations
3.
Aguiar, Rui L., et al.. (2024). State-of-the-Art Modeling Eliminates Drilling Dysfunctions in a Challenging Wildcat Ultradeepwater Wildcat Well. SPE Annual Technical Conference and Exhibition.
4.
Casini, Francesca, et al.. (2024). Grading curve relations for saturated hydraulic conductivity of granular materials. Environmental Geotechnics. 1–85.
5.
Barreto, Daniel, et al.. (2023). Rubber-soil mixtures: use of grading entropy theory to evaluate stiffness and liquefaction susceptibility. Bulletin of Earthquake Engineering. 21(8). 3777–3796. 12 indexed citations
6.
Barreto, Daniel, et al.. (2023). Use of hydraulic radius to estimate the permeability of coarse-grained materials using a new geodatabase. Transportation Geotechnics. 41. 101026–101026. 7 indexed citations
7.
Barreto, Daniel, et al.. (2022). Quantifying Particle Breakage and Its Evolution Using Breakage Indices and Grading Entropy Coordinates. SHILAP Revista de lepidopterología. 2(4). 1109–1126. 3 indexed citations
8.
O’Kelly, Brendan C., Daniel Barreto, Federica Cotecchia, et al.. (2021). Recent Advances in Nature-Inspired Solutions for Ground Engineering (NiSE). International Journal of Geosynthetics and Ground Engineering. 8(1). 30 indexed citations
9.
Barreto, Daniel, et al.. (2021). Revisiting Hardin’s parameters for the quantification of particle breakage – A statistical entropy approach. SHILAP Revista de lepidopterología. 249. 7001–7001. 3 indexed citations
10.
Barreto, Daniel, Maria Datcheva, Wiebke Baille, et al.. (2021). Some Notes on Granular Mixtures with Finite, Discrete Fractal Distribution. Periodica Polytechnica Civil Engineering.
11.
McDougall, John, et al.. (2019). Particle loss: An initial investigation into size effects and stress-dilatancy. SOILS AND FOUNDATIONS. 59(3). 726–737. 1 indexed citations
12.
Jiang, Mengying, Zhongxuan Yang, Daniel Barreto, & Yuan Xie. (2018). The influence of particle-size distribution on critical state behavior of spherical and non-spherical particle assemblies. Granular Matter. 20(4). 86 indexed citations
13.
Kerrouche, Abdelfateh, et al.. (2018). Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations. Research Output (Edinburgh Napier University). 16. 1–4. 2 indexed citations
14.
Xie, Yuan, Zhongxuan Yang, Daniel Barreto, & Mengying Jiang. (2017). The influence of particle geometry and the intermediate stress ratio on the shear behavior of granular materials. Granular Matter. 19(2). 86 indexed citations
15.
Maciel, Paulo, et al.. (2014). Performance evaluation of sheepdog distributed storage system. 3370–3375. 6 indexed citations
16.
McDougall, John, et al.. (2013). Volumetric consequences of particle loss by grading entropy. Géotechnique. 63(3). 262–266. 12 indexed citations
17.
Barreto, Daniel & Catherine O’Sullivan. (2012). The influence of inter-particle friction and the intermediate stress ratio on soil response under generalised stress conditions. Granular Matter. 14(4). 505–521. 134 indexed citations
18.
Shire, Thomas, et al.. (2012). Quantifying stress-induced anisotropy using inter-void constrictions. Géotechnique. 63(1). 85–91. 23 indexed citations
19.
Barreto, Daniel, Catherine O’Sullivan, Lidija Zdravković, Masami Nakagawa, & Stefan Luding. (2009). Quantifying the Evolution of Soil Fabric Under Different Stress Paths. AIP conference proceedings. 181–184. 39 indexed citations
20.
McDougall, John, et al.. (1999). Effect of particle loss on soil behaviour.. Research Output (Edinburgh Napier University). 4 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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2026