Orlando Maeso

1.8k total citations
66 papers, 1.4k citations indexed

About

Orlando Maeso is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Orlando Maeso has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Civil and Structural Engineering, 17 papers in Control and Systems Engineering and 12 papers in Computational Mechanics. Recurrent topics in Orlando Maeso's work include Geotechnical Engineering and Underground Structures (42 papers), Geotechnical Engineering and Soil Mechanics (26 papers) and Vibration and Dynamic Analysis (17 papers). Orlando Maeso is often cited by papers focused on Geotechnical Engineering and Underground Structures (42 papers), Geotechnical Engineering and Soil Mechanics (26 papers) and Vibration and Dynamic Analysis (17 papers). Orlando Maeso collaborates with scholars based in Spain, Italy and United Kingdom. Orlando Maeso's co-authors include Juan J. Aznárez, Luis A. Padrón, José Domínguez Abascal, Guillermo M. Álamo, David Greiner, Fernando R. Contreras Medina, Héctor Cifuentes, Rafael Gallego, Masato Saitoh and G. Winter and has published in prestigious journals such as Construction and Building Materials, Sensors and Journal of Sound and Vibration.

In The Last Decade

Orlando Maeso

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Orlando Maeso Spain 21 1.2k 309 222 187 110 66 1.4k
Juan J. Aznárez Spain 20 1.2k 0.9× 312 1.0× 213 1.0× 166 0.9× 131 1.2× 72 1.3k
Qiang Xu China 22 925 0.8× 134 0.4× 255 1.1× 172 0.9× 120 1.1× 104 1.2k
Luis A. Padrón Spain 18 931 0.8× 277 0.9× 151 0.7× 91 0.5× 60 0.5× 55 1.0k
Adolfo Santini Italy 16 744 0.6× 162 0.5× 80 0.4× 169 0.9× 114 1.0× 161 932
George D. Hatzigeorgiou Greece 26 2.4k 2.0× 270 0.9× 170 0.8× 187 1.0× 116 1.1× 54 2.7k
Constantine C. Spyrakos Greece 22 1.0k 0.8× 256 0.8× 100 0.5× 227 1.2× 178 1.6× 75 1.2k
T. Balendra Singapore 28 1.6k 1.3× 335 1.1× 220 1.0× 180 1.0× 360 3.3× 91 1.8k
C. S. Tsai Taiwan 22 1.2k 0.9× 365 1.2× 176 0.8× 179 1.0× 130 1.2× 92 1.3k
Dionysius M. Siringoringo Japan 24 1.5k 1.2× 194 0.6× 173 0.8× 165 0.9× 377 3.4× 60 1.6k

Countries citing papers authored by Orlando Maeso

Since Specialization
Citations

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

Fields of papers citing papers by Orlando Maeso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Orlando Maeso

This figure shows the co-authorship network connecting the top 25 collaborators of Orlando Maeso. A scholar is included among the top collaborators of Orlando Maeso 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 Orlando Maeso. Orlando Maeso 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
2.
González-Rodríguez, Á., Javier Lorenzo-Navarro, Modesto Castrillón-Santana, et al.. (2025). Noise Levels Due to Commercial and Leisure Activities in Urban Areas: Experimental Validation of a Numerical Model Fed with Crowd Density Estimation Using Computer Vision. Sensors. 25(12). 3604–3604.
5.
Carbonari, Sandro, Luis A. Padrón, Michele Morici, et al.. (2022). Winkler model for predicting the dynamic response of caisson foundations. Earthquake Engineering & Structural Dynamics. 51(13). 3069–3096. 7 indexed citations
6.
Galván, J.C., Luis A. Padrón, Juan J. Aznárez, & Orlando Maeso. (2022). Boundary element model for the analysis of the dynamic response of the Soria arch dam and experimental validation from ambient vibration tests. Engineering Analysis with Boundary Elements. 144. 67–80. 5 indexed citations
7.
Álamo, Guillermo M., et al.. (2022). MultiFEBE: A multi-domain finite element–boundary element solver for linear mixed-dimensional mechanical problems. SoftwareX. 20. 101265–101265. 3 indexed citations
8.
Aznárez, Juan J., et al.. (2020). Simple approach for including foundation–soil–foundation interaction in the static stiffnesses of multi-element shallow foundations. Géotechnique. 71(8). 686–699. 9 indexed citations
9.
Álamo, Guillermo M., et al.. (2019). Importance of Using Accurate Soil Profiles for the Estimation of Pile Kinematic Input Factors. Journal of Geotechnical and Geoenvironmental Engineering. 145(8). 6 indexed citations
10.
Álamo, Guillermo M., et al.. (2019). Variations in the dynamic response of structures founded on piles induced by obliquely incident SV waves. Earthquake Engineering & Structural Dynamics. 48(7). 772–791. 5 indexed citations
11.
Álamo, Guillermo M., et al.. (2018). Relevance of soil-pile tangential tractions for the estimation of kinematic seismic forces: Formulation and setting of a Winkler approach. Applied Mathematical Modelling. 59. 1–19. 19 indexed citations
12.
Aznárez, Juan J., et al.. (2015). Shape design optimization of road acoustic barriers featuring top-edge devices by using genetic algorithms and boundary elements. Engineering Analysis with Boundary Elements. 63. 49–60. 18 indexed citations
13.
Saitoh, Masato, et al.. (2015). Expanded superposition method for impedance functions of inclined‐pile groups. International Journal for Numerical and Analytical Methods in Geomechanics. 40(2). 185–206. 12 indexed citations
14.
Aznárez, Juan J., et al.. (2014). A 2D BEM–FEM approach for time harmonic fluid–structure interaction analysis of thin elastic bodies. Engineering Analysis with Boundary Elements. 43. 19–29. 9 indexed citations
15.
Padrón, Luis A., et al.. (2014). Kinematic interaction factors of deep foundations with inclined piles. Earthquake Engineering & Structural Dynamics. 43(13). 2035–2050. 21 indexed citations
16.
Aznárez, Juan J., et al.. (2014). Influence of reservoir geometry and conditions on the seismic response of arch dams. Soil Dynamics and Earthquake Engineering. 67. 264–272. 8 indexed citations
17.
Padrón, Luis A., Juan J. Aznárez, & Orlando Maeso. (2006). BEM–FEM coupling model for the dynamic analysis of piles and pile groups. Engineering Analysis with Boundary Elements. 31(6). 473–484. 124 indexed citations
18.
Maeso, Orlando, et al.. (2005). Dynamic impedances of piles and groups of piles in saturated soils. Computers & Structures. 83(10-11). 769–782. 97 indexed citations
19.
Maeso, Orlando, et al.. (2000). Una técnica simple para el cálculo de las integrales en el sentido del valor principal en el MEC 3D. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 16(1). 77–96. 2 indexed citations
20.
Maeso, Orlando & José Domínguez Abascal. (1993). Earthquake Analysis of Arch Dams. I: Dam‐Foundation Interaction. Journal of Engineering Mechanics. 119(3). 496–512. 28 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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