Samuel da Silva

1.5k total citations
105 papers, 1.1k citations indexed

About

Samuel da Silva is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Samuel da Silva has authored 105 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Civil and Structural Engineering, 31 papers in Control and Systems Engineering and 27 papers in Mechanical Engineering. Recurrent topics in Samuel da Silva's work include Structural Health Monitoring Techniques (65 papers), Probabilistic and Robust Engineering Design (20 papers) and Bladed Disk Vibration Dynamics (17 papers). Samuel da Silva is often cited by papers focused on Structural Health Monitoring Techniques (65 papers), Probabilistic and Robust Engineering Design (20 papers) and Bladed Disk Vibration Dynamics (17 papers). Samuel da Silva collaborates with scholars based in Brazil, France and Portugal. Samuel da Silva's co-authors include Vicente Lopes, Elói Figueiredo, Américo Cunha, M.J. Brennan, Michael D. Todd, Gaël Chevallier, Emmanuel Foltête, Scott Cogan, Ionut Moldovan and Thiago Ritto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Applied Mechanics.

In The Last Decade

Samuel da Silva

96 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel da Silva Brazil 19 726 308 270 261 126 105 1.1k
Vasilis Dertimanis Switzerland 18 752 1.0× 294 1.0× 179 0.7× 217 0.8× 125 1.0× 88 1.1k
Kristof Maes Belgium 17 1.1k 1.5× 269 0.9× 218 0.8× 281 1.1× 211 1.7× 43 1.2k
Henri P. Gavin United States 24 1.8k 2.5× 359 1.2× 178 0.7× 340 1.3× 229 1.8× 85 2.2k
Chao Xu China 23 662 0.9× 512 1.7× 623 2.3× 255 1.0× 69 0.5× 95 1.3k
Lingmi Zhang China 10 1.8k 2.4× 343 1.1× 373 1.4× 177 0.7× 155 1.2× 34 1.9k
Tian He China 18 450 0.6× 293 1.0× 332 1.2× 191 0.7× 39 0.3× 81 940
Shun Weng China 20 1.3k 1.8× 288 0.9× 381 1.4× 164 0.6× 211 1.7× 77 1.4k
Hamid Ghasemi Germany 16 671 0.9× 257 0.8× 701 2.6× 76 0.3× 107 0.8× 21 1.4k
Zuo‐Cai Wang China 18 744 1.0× 216 0.7× 203 0.8× 331 1.3× 67 0.5× 67 966

Countries citing papers authored by Samuel da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Samuel da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel da Silva. 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 Samuel da Silva. The network helps show where Samuel da Silva may publish in the future.

Co-authorship network of co-authors of Samuel da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel da Silva. A scholar is included among the top collaborators of Samuel da Silva 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 Samuel da Silva. Samuel da Silva 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.
Moldovan, Ionut, et al.. (2025). Transfer learning and Bayesian calibration addressing data scarcity and uncertainty for structural health monitoring of twin concrete bridges. Mechanical Systems and Signal Processing. 235. 112845–112845. 2 indexed citations
2.
3.
Silva, Samuel da, et al.. (2025). Delamination detection and quantification in composites using co-Kriging with Lamb wave data. Mechanical Systems and Signal Processing. 239. 113303–113303.
4.
Varoto, Paulo Sérgio, et al.. (2025). Asymmetry-enhanced performance in bistable energy harvesters: Experimental and numerical analysis. Nonlinear Dynamics. 114(1).
5.
6.
Figueiredo, Elói, et al.. (2023). Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting. Buildings. 13(9). 2323–2323. 8 indexed citations
7.
Silva, Samuel da, et al.. (2023). Practical applications for nonlinear system identification using discrete-time Volterra series. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(2). 1 indexed citations
8.
Silva, Samuel da, et al.. (2022). Exact general solutions for the mode shapes of longitudinally vibrating non-uniform rods via Lie symmetries. Journal of Sound and Vibration. 538. 117216–117216. 3 indexed citations
9.
Butaud, Pauline, et al.. (2021). Dataset of experimental measurements for the Orion beam structure. SHILAP Revista de lepidopterología. 39. 107627–107627. 6 indexed citations
10.
Silva, Samuel da, et al.. (2021). Gaussian Process NARX Model for Damage Detection in Composite Aircraft Structures. Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems. 5(1). 5 indexed citations
11.
Silva, Samuel da, et al.. (2020). Data-driven identification of rotating machines using ARMA deterministic parameter evolution in the angle/time domain. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 42(9). 2 indexed citations
12.
Silva, Samuel da, et al.. (2018). A very short introduction to the geometric algebra of hydrodynamics. European Journal of Physics. 40(1). 15801–15801. 1 indexed citations
13.
Motoki, Akihisa, et al.. (2015). MORPHOLOGIC CHARACTERISTICS AND EROSIVE RESISTANCE OF FELSIC ALKALINE INTRUSIVE MASSIF OF TANGUÁ, STATE OF RIO DE JANEIRO, BRAZIL, BASED ON THE ASTER GDEM. 34(1). 19–31. 3 indexed citations
14.
Motoki, Akihisa, et al.. (2015). DRAINAGE EROSION AND CONCAVE LANDFORM OF TIJUCA GNEISSIC MASSIF, STATE OF RIO DE JANEIRO, BRAZIL, WITH THE HELP OF SUMMIT LEVEL AND BASE LEVEL TECHNIQUE BASED ON ASTER GDEM. 34(1). 116–129. 3 indexed citations
15.
Noël, Jean‐Philippe, et al.. (2013). Identification of mechanical systems with local nonlinearities through discrete-time Volterra series and Kautz functions. Open Repository and Bibliography (University of Liège). 2 indexed citations
16.
Motoki, Akihisa, et al.. (2013). Nepheline syenite magma differentiation with continental crustal assimilation for the Cabo Frio Island intrusive complex, State of Rio de Janeiro, Brazil. eSpace (Curtin University). 32(2). 195–218. 9 indexed citations
17.
Motoki, Akihisa, et al.. (2010). GEOCHEMICAL EVOLUTION OF THE FELSIC ALKALINE ROCKS OF TANGUÁ AND RIO BONITO INTRUSIVE BODIES,STATE OF RIO DE JANEIRO, BRAZIL. Geociências (São Paulo). 29(3). 291–310. 7 indexed citations
18.
Silva, Samuel da. (2010). Non-parametric identification of mechanical systems by Kautz filter with multiple poles. Mechanical Systems and Signal Processing. 25(4). 1103–1111. 13 indexed citations
19.
Silva, Samuel da, et al.. (2007). Statistical damage detection in a stationary rotor systems through time series analysis. Latin American Applied Research - An international journal. 37(4). 243–246. 3 indexed citations
20.
Silva, Samuel da. (2005). PROJETO DE CONTROLADORES ROBUSTOS PARA APLICAÇÕES EM ESTRUTURAS INTELIGENTES UTILIZANDO DESIGUALDADES MATRICIAIS LINEARES. Aleph UCLA Undergraduate Research Journal for the Humanities and Social Sciences. 1 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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