Daniel A. Castello

803 total citations
57 papers, 570 citations indexed

About

Daniel A. Castello is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Daniel A. Castello has authored 57 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Civil and Structural Engineering, 22 papers in Mechanical Engineering and 18 papers in Mechanics of Materials. Recurrent topics in Daniel A. Castello's work include Structural Health Monitoring Techniques (21 papers), Probabilistic and Robust Engineering Design (12 papers) and Ultrasonics and Acoustic Wave Propagation (10 papers). Daniel A. Castello is often cited by papers focused on Structural Health Monitoring Techniques (21 papers), Probabilistic and Robust Engineering Design (12 papers) and Ultrasonics and Acoustic Wave Propagation (10 papers). Daniel A. Castello collaborates with scholars based in Brazil, New Zealand and France. Daniel A. Castello's co-authors include Thiago Ritto, Fernando A. Rochinha, Ney Roitman, Lavinia Borges, Carlos Magluta, Ricardo Leiderman, Scott C. Weaver, Eddie W. Cupp, Jari P. Kaipio and Marysilvia Ferreira da Costa and has published in prestigious journals such as The Journal of the Acoustical Society of America, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Daniel A. Castello

52 papers receiving 557 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 A. Castello Brazil 16 269 178 151 100 99 57 570
Yufei Liu China 15 130 0.5× 184 1.0× 94 0.6× 31 0.3× 48 0.5× 62 743
Yanrong Wang China 20 209 0.8× 607 3.4× 473 3.1× 9 0.1× 48 0.5× 127 1.2k
Siu Chun Michael Ho United States 24 1.0k 3.7× 451 2.5× 790 5.2× 206 2.1× 115 1.2× 41 1.5k
Tomoyuki Hashimoto Japan 13 51 0.2× 325 1.8× 415 2.7× 18 0.2× 40 0.4× 65 1.0k
Ali Malaysia 6 59 0.2× 99 0.6× 53 0.4× 25 0.3× 145 1.5× 47 347
A. M. Vinogradov United States 13 116 0.4× 111 0.6× 127 0.8× 7 0.1× 300 3.0× 40 613
Yazhi Li China 18 95 0.4× 526 3.0× 400 2.6× 5 0.1× 65 0.7× 72 964
T. A. Gray United States 8 71 0.3× 152 0.9× 261 1.7× 70 0.7× 50 0.5× 22 425
Ruifeng Wang China 16 77 0.3× 174 1.0× 103 0.7× 55 0.6× 173 1.7× 85 750
Arwen Smits Belgium 6 295 1.1× 300 1.7× 311 2.1× 12 0.1× 106 1.1× 14 817

Countries citing papers authored by Daniel A. Castello

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Castello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Castello

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Castello. A scholar is included among the top collaborators of Daniel A. Castello 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 A. Castello. Daniel A. Castello 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.
Castello, Daniel A., et al.. (2025). Axial–torsional dynamic model of a drill-string considering thermal-assisted drilling. International Journal of Non-Linear Mechanics. 181. 105279–105279.
2.
Roitman, Ney, et al.. (2025). Model selection in damage identification using approximate Bayesian computations. Mechanical Systems and Signal Processing. 235. 112867–112867.
3.
Rouleau, Lucie, et al.. (2024). Bayesian calibration of constitutive models for polymeric foams. Composite Structures. 341. 118231–118231.
4.
Leiderman, Ricardo, et al.. (2024). Damage recovery in composite laminates through deep learning from acoustic scattering of guided waves. Ultrasonics. 139. 107293–107293. 3 indexed citations
5.
6.
Castello, Daniel A., et al.. (2023). Parametric Reduced Order Models for wave propagation in 1D media containing defects. Journal of Sound and Vibration. 558. 117771–117771. 2 indexed citations
7.
Leiderman, Ricardo, et al.. (2023). A deep learning approach to inverse scattering analyses: Recovering interfacial defects in laminated structures. Composite Structures. 314. 116985–116985. 4 indexed citations
8.
Ardekani, Iman, Jari P. Kaipio, & Daniel A. Castello. (2021). Bayesian damage identification of simply supported beams from elastostatic data. Inverse Problems in Science and Engineering. 29(13). 2895–2922. 2 indexed citations
9.
Castello, Daniel A., et al.. (2020). Nonlocal viscoelastic Euler-Bernoulli beam model: a Bayesian approach for parameter estimation using the delayed rejection adaptive metropolis algorithm. Inverse Problems in Science and Engineering. 29(12). 1672–1701. 2 indexed citations
10.
Ritto, Thiago, et al.. (2019). Dynamics of a Duffing oscillator with the stiffness modeled as a stochastic process. International Journal of Non-Linear Mechanics. 116. 273–280. 4 indexed citations
11.
Borges, Lavinia, et al.. (2018). Comparisons of complex modulus provided by different DMA. Polymer Testing. 72. 394–406. 35 indexed citations
12.
Castello, Daniel A., et al.. (2018). On the model building for transmission line cables: a Bayesian approach. Inverse Problems in Science and Engineering. 26(12). 1784–1812. 5 indexed citations
13.
Leiderman, Ricardo, et al.. (2018). Identifying the ultrasonic inspecting fields that most strongly interact with adhesive bonding defects. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(4). 7 indexed citations
14.
Ritto, Thiago, et al.. (2017). Stochastic analysis of torsional drill-string vibrations considering the passage from a soft to a harder rock layer. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39(6). 2341–2349. 25 indexed citations
15.
Castello, Daniel A., et al.. (2017). Thermorheologically simple materials: A bayesian framework for model calibration and validation. Journal of Sound and Vibration. 402. 14–30. 15 indexed citations
16.
Leiderman, Ricardo & Daniel A. Castello. (2016). Detecting and classifying interfacial defects by inverse ultrasound scattering analysis. Wave Motion. 65. 119–129. 10 indexed citations
17.
Leiderman, Ricardo & Daniel A. Castello. (2014). Scattering of ultrasonic waves by heterogeneous interfaces: Formulating the direct scattering problem as a least-squares problem. The Journal of the Acoustical Society of America. 135(1). 5–16. 12 indexed citations
18.
Castello, Daniel A., et al.. (2011). A validation metrics based model calibration applied on stranded cables. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 33(4). 417–427. 11 indexed citations
19.
Castello, Daniel A., Fernando A. Rochinha, Ney Roitman, & Carlos Magluta. (2008). Constitutive parameter estimation of a viscoelastic model with internal variables. Mechanical Systems and Signal Processing. 22(8). 1840–1857. 21 indexed citations
20.
Weaver, Scott C., et al.. (1984). Barriers to Dissemination of Venezuelan Encephalitis Viruses in the Middle American Enzootic Vector Mosquito, Culex (Melanoconion) Taeniopus. American Journal of Tropical Medicine and Hygiene. 33(5). 953–960. 35 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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