F.A. DiazDelaO

504 total citations
29 papers, 385 citations indexed

About

F.A. DiazDelaO is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, F.A. DiazDelaO has authored 29 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics, Probability and Uncertainty, 10 papers in Computational Theory and Mathematics and 9 papers in Civil and Structural Engineering. Recurrent topics in F.A. DiazDelaO's work include Probabilistic and Robust Engineering Design (14 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Structural Health Monitoring Techniques (8 papers). F.A. DiazDelaO is often cited by papers focused on Probabilistic and Robust Engineering Design (14 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Structural Health Monitoring Techniques (8 papers). F.A. DiazDelaO collaborates with scholars based in United Kingdom, Chile and United States. F.A. DiazDelaO's co-authors include Sondipon Adhikari, Michael I. Friswell, Erick I. Saavedra Flores, Alfredo Garbuno-Iñigo, Siu‐Kui Au, Ikumasa Yoshida, Eann A. Patterson, Rafic M. Ajaj, Abhishek Kundu and Rafael Castro‐Triguero and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Mechanical Systems and Signal Processing.

In The Last Decade

F.A. DiazDelaO

27 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F.A. DiazDelaO United Kingdom 12 206 183 93 63 54 29 385
M.J. Fadaee Iran 13 408 2.0× 122 0.7× 113 1.2× 79 1.3× 58 1.1× 40 507
David Lehký Czechia 14 429 2.1× 196 1.1× 93 1.0× 45 0.7× 65 1.2× 51 562
Seung-Seop Jin South Korea 13 340 1.7× 99 0.5× 57 0.6× 29 0.5× 87 1.6× 30 455
Diego Lorenzo Allaix Italy 12 314 1.5× 201 1.1× 51 0.5× 27 0.4× 45 0.8× 29 420
Hyun‐Moo Koh South Korea 13 569 2.8× 182 1.0× 81 0.9× 44 0.7× 84 1.6× 56 705
Giuseppe Abbiati Denmark 14 446 2.2× 118 0.6× 34 0.4× 20 0.3× 161 3.0× 49 586
Thomas Most Germany 11 246 1.2× 192 1.0× 147 1.6× 43 0.7× 34 0.6× 20 433
Mansour Bagheri Iran 14 357 1.7× 210 1.1× 148 1.6× 48 0.8× 118 2.2× 23 597
António Abel Henriques Portugal 14 491 2.4× 155 0.8× 68 0.7× 29 0.5× 221 4.1× 33 592
P. Tauzowski Poland 11 231 1.1× 119 0.7× 76 0.8× 76 1.2× 81 1.5× 32 342

Countries citing papers authored by F.A. DiazDelaO

Since Specialization
Citations

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

Fields of papers citing papers by F.A. DiazDelaO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F.A. DiazDelaO

This figure shows the co-authorship network connecting the top 25 collaborators of F.A. DiazDelaO. A scholar is included among the top collaborators of F.A. DiazDelaO 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 F.A. DiazDelaO. F.A. DiazDelaO 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.
DiazDelaO, F.A., et al.. (2025). Dynamic model updating through reliability-based sequential history matching. Mechanical Systems and Signal Processing. 232. 112689–112689.
2.
Ray, Samiran, et al.. (2025). Addressing model discrepancy in a clinical model of the oxygen dissociation curve. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2293). 20240213–20240213.
3.
DiazDelaO, F.A., et al.. (2025). Niching subset simulation. Probabilistic Engineering Mechanics. 79. 103729–103729. 2 indexed citations
4.
DiazDelaO, F.A., et al.. (2023). Subset simulation for probabilistic computer models. Applied Mathematical Modelling. 120. 769–785. 3 indexed citations
5.
DiazDelaO, F.A., et al.. (2021). Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation. Applied Mathematical Modelling. 100. 92–106. 2 indexed citations
6.
DiazDelaO, F.A., et al.. (2021). HISTORY MATCHING WITH SUBSET SIMULATION. International Journal for Uncertainty Quantification. 11(5). 19–38. 3 indexed citations
7.
DiazDelaO, F.A., et al.. (2019). Adaptive Gaussian process emulators for efficient reliability analysis. Applied Mathematical Modelling. 71. 138–151. 13 indexed citations
8.
DiazDelaO, F.A., et al.. (2017). ADAPTIVE EMULATION-BASED RELIABILITY ANALYSIS. 198–211. 1 indexed citations
9.
DiazDelaO, F.A., Alfredo Garbuno-Iñigo, Siu‐Kui Au, & Ikumasa Yoshida. (2017). Bayesian updating and model class selection with Subset Simulation. Computer Methods in Applied Mechanics and Engineering. 317. 1102–1121. 69 indexed citations
10.
Patterson, Eann A., et al.. (2017). Robust Empirical Predictions of Residual Performance of Damaged Composites with Quantified Uncertainties. Journal of Nondestructive Evaluation. 36(2). 5 indexed citations
11.
Garbuno-Iñigo, Alfredo, F.A. DiazDelaO, & Konstantin M. Zuev. (2016). Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling. Computational Statistics & Data Analysis. 103. 367–383. 7 indexed citations
12.
Garbuno-Iñigo, Alfredo, F.A. DiazDelaO, & Konstantin M. Zuev. (2016). TRANSITIONAL ANNEALED ADAPTIVE SLICE SAMPLING FOR GAUSSIAN PROCESS HYPER-PARAMETER ESTIMATION. International Journal for Uncertainty Quantification. 6(4). 341–359. 2 indexed citations
13.
DiazDelaO, F.A., et al.. (2015). Uncertainty quantification in DIC with Kriging regression. Optics and Lasers in Engineering. 78. 182–195. 17 indexed citations
14.
Flores, Erick I. Saavedra, F.A. DiazDelaO, Rafic M. Ajaj, Michael I. Friswell, & Gerard F. Fernando. (2014). Mathematical modelling of the stochastic mechanical properties of wood and its extensibility at small scales. Applied Mathematical Modelling. 38(15-16). 3958–3967. 7 indexed citations
15.
Flores, Erick I. Saavedra, Iman Dayyani, Rafic M. Ajaj, et al.. (2014). Analysis of cross-laminated timber by computational homogenisation and experimental validation. Composite Structures. 121. 386–394. 24 indexed citations
16.
DiazDelaO, F.A., et al.. (2014). Full-field digital image correlation with Kriging regression. Optics and Lasers in Engineering. 67. 105–115. 5 indexed citations
17.
Castro‐Triguero, Rafael, Erick I. Saavedra Flores, F.A. DiazDelaO, Michael I. Friswell, & Rafael Gallego. (2014). Optimal sensor placement in timber structures by means of a multi-scale approach with material uncertainty. Structural Control and Health Monitoring. 21(12). 1437–1452. 14 indexed citations
18.
Kundu, Abhishek, F.A. DiazDelaO, Sondipon Adhikari, & Michael I. Friswell. (2013). A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems. Computer Methods in Applied Mechanics and Engineering. 270. 201–219. 29 indexed citations
19.
DiazDelaO, F.A. & Sondipon Adhikari. (2011). Gaussian process emulators for the stochastic finite element method. International Journal for Numerical Methods in Engineering. 87(6). 521–540. 37 indexed citations
20.
DiazDelaO, F.A. & Sondipon Adhikari. (2011). Bayesian assimilation of multi-fidelity finite element models. Computers & Structures. 92-93. 206–215. 10 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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