Aires Colaço

776 total citations
36 papers, 509 citations indexed

About

Aires Colaço is a scholar working on Civil and Structural Engineering, Mechanical Engineering and General Engineering. According to data from OpenAlex, Aires Colaço has authored 36 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Civil and Structural Engineering, 30 papers in Mechanical Engineering and 12 papers in General Engineering. Recurrent topics in Aires Colaço's work include Railway Engineering and Dynamics (30 papers), Geotechnical Engineering and Underground Structures (22 papers) and Civil and Geotechnical Engineering Research (12 papers). Aires Colaço is often cited by papers focused on Railway Engineering and Dynamics (30 papers), Geotechnical Engineering and Underground Structures (22 papers) and Civil and Geotechnical Engineering Research (12 papers). Aires Colaço collaborates with scholars based in Portugal, United Kingdom and Spain. Aires Colaço's co-authors include Pedro Alves Costa, Rui Calçada, David P. Connolly, António Silva Cardoso, P. Amado-Mendes, Jesús Fernández Ruiz, L. Godinho, Luis Medina, Patrícia Lopes and Domingos Barbosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of Sound and Vibration.

In The Last Decade

Aires Colaço

33 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aires Colaço Portugal 13 416 410 229 41 39 36 509
Jianjin Yang China 9 464 1.1× 391 1.0× 220 1.0× 35 0.9× 15 0.4× 31 527
Jerry G. Rose United States 16 505 1.2× 622 1.5× 143 0.6× 16 0.4× 34 0.9× 81 709
Julia Real Spain 15 361 0.9× 367 0.9× 146 0.6× 7 0.2× 25 0.6× 43 474
Rongshan Yang China 12 365 0.9× 327 0.8× 130 0.6× 10 0.2× 11 0.3× 34 459
J.N. Varandas Portugal 14 543 1.3× 465 1.1× 235 1.0× 5 0.1× 48 1.2× 23 581
Mahantesh M. Nadakatti China 11 238 0.6× 144 0.4× 88 0.4× 33 0.8× 12 0.3× 50 329
Jian Yu China 16 556 1.3× 692 1.7× 81 0.4× 15 0.4× 9 0.2× 42 781
Mingze Wang China 11 429 1.0× 365 0.9× 124 0.5× 7 0.2× 16 0.4× 23 531
Sheng Qu China 15 455 1.1× 136 0.3× 136 0.6× 25 0.6× 20 0.5× 37 555
Zhaoling Han China 7 439 1.1× 345 0.8× 121 0.5× 6 0.1× 7 0.2× 14 510

Countries citing papers authored by Aires Colaço

Since Specialization
Citations

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

Fields of papers citing papers by Aires Colaço

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aires Colaço

This figure shows the co-authorship network connecting the top 25 collaborators of Aires Colaço. A scholar is included among the top collaborators of Aires Colaço 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 Aires Colaço. Aires Colaço 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.
2.
Colaço, Aires, et al.. (2024). Integrating machine learning techniques for predicting ground vibration in pile driving activities. Computers and Geotechnics. 176. 106784–106784. 4 indexed citations
3.
Arcos, Robert, et al.. (2024). Experimental and numerical study of a base-isolated building subjected to vibrations induced by railway traffic. Engineering Structures. 316. 118467–118467. 5 indexed citations
4.
Colaço, Aires, et al.. (2023). Ground-borne vibrations induced by impact pile driving: experimental assessment and mitigation measures. Earthquake Engineering and Engineering Vibration. 22(1). 105–115. 6 indexed citations
5.
Colaço, Aires, et al.. (2023). Predicting Critical Speed of Railway Tracks Using Artificial Intelligence Algorithms. SHILAP Revista de lepidopterología. 6(4). 895–916. 3 indexed citations
6.
Colaço, Aires, et al.. (2023). Prediction of ground-borne vibration induced by impact pile driving: numerical approach and experimental validation. Earthquake Engineering and Engineering Vibration. 22(4). 921–935. 3 indexed citations
7.
Arcos, Robert, et al.. (2023). A pile–soil interaction model for ground-borne vibration problems based on the singular boundary method. Journal of Sound and Vibration. 568. 118057–118057. 1 indexed citations
8.
Connolly, David P., Aires Colaço, Pedro Alves Costa, et al.. (2023). Railway slab vs ballasted track: A comparison of track geometry degradation. Construction and Building Materials. 378. 131121–131121. 26 indexed citations
9.
Ruiz, Jesús Fernández, et al.. (2022). A simplified approach for predicting the non-linear critical speed of railway tracks. Transportation Geotechnics. 37. 100865–100865. 6 indexed citations
10.
Colaço, Aires, et al.. (2022). Prediction of ground-borne vibrations induced by impact pile driving: experimental validation of an equivalent linear approach. Canadian Geotechnical Journal. 60(1). 102–106. 4 indexed citations
11.
Godinho, L., et al.. (2021). Numerical modelling for prediction of ground-borne vibrations induced by pile driving. Engineering Structures. 242. 112533–112533. 9 indexed citations
12.
Colaço, Aires, et al.. (2021). Simplified approach for ground reinforcement design to enhance critical speed. Soil Dynamics and Earthquake Engineering. 153. 107078–107078. 13 indexed citations
13.
Colaço, Aires, et al.. (2021). Modelling of soil-structure interaction in OpenSees: A practical approach for performance-based seismic design. Structures. 30. 75–88. 14 indexed citations
14.
Colaço, Aires, Pedro Alves Costa, Claudio Parente, & António Silva Cardoso. (2021). Ground-borne noise and vibrations in buildings induced by pile driving: An integrated approach. Applied Acoustics. 179. 108059–108059. 12 indexed citations
15.
Colaço, Aires, Domingos Barbosa, & Pedro Alves Costa. (2021). Hybrid soil-structure interaction approach for the assessment of vibrations in buildings due to railway traffic. Transportation Geotechnics. 32. 100691–100691. 16 indexed citations
16.
Colaço, Aires, Pedro Alves Costa, P. Amado-Mendes, Filipe Magalhães, & L. Godinho. (2018). Experimental validation of a FEM-MFS hybrid numerical approach for vibro-acoustic prediction. Applied Acoustics. 141. 79–92. 6 indexed citations
17.
Colaço, Aires, Pedro Alves Costa, P. Amado-Mendes, & L. Godinho. (2017). Prediction of Vibrations and Reradiated Noise Due to Railway Traffic: A Comprehensive Hybrid Model Based on a Finite Element Method and Method of Fundamental Solutions Approach. Journal of vibration and acoustics. 139(6). 18 indexed citations
18.
Colaço, Aires, et al.. (2016). Experimental analysis of track-ground vibrations on a stretch of the Portuguese railway network. Soil Dynamics and Earthquake Engineering. 90. 358–380. 39 indexed citations
19.
Colaço, Aires, Pedro Alves Costa, & David P. Connolly. (2015). The influence of train properties on railway ground vibrations. Structure and Infrastructure Engineering. 12(5). 517–534. 64 indexed citations
20.
Costa, Pedro Alves, Aires Colaço, Rui Calçada, & António Silva Cardoso. (2014). Critical speed of railway tracks. Detailed and simplified approaches. Transportation Geotechnics. 2. 30–46. 85 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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