Manuel Chiachío

1.8k total citations
54 papers, 1.3k citations indexed

About

Manuel Chiachío is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Manuel Chiachío has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Civil and Structural Engineering, 20 papers in Mechanics of Materials and 17 papers in Mechanical Engineering. Recurrent topics in Manuel Chiachío's work include Structural Health Monitoring Techniques (24 papers), Probabilistic and Robust Engineering Design (16 papers) and Non-Destructive Testing Techniques (13 papers). Manuel Chiachío is often cited by papers focused on Structural Health Monitoring Techniques (24 papers), Probabilistic and Robust Engineering Design (16 papers) and Non-Destructive Testing Techniques (13 papers). Manuel Chiachío collaborates with scholars based in Spain, United Kingdom and United States. Manuel Chiachío's co-authors include Juan Chiachío, Guillermo Rus, Sergio Cantero‐Chinchilla, Juan Fernández, Dimitrios Chronopoulos, I.A. Jones, James L. Beck, Athanasios Kolios, Kai Goebel and Shankar Sankararaman and has published in prestigious journals such as Applied Energy, Journal of Biomechanics and Renewable Energy.

In The Last Decade

Manuel Chiachío

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Chiachío Spain 20 530 476 336 272 177 54 1.3k
Juan Chiachío Spain 20 555 1.0× 479 1.0× 347 1.0× 257 0.9× 176 1.0× 57 1.3k
Yoojeong Noh South Korea 21 250 0.5× 182 0.4× 155 0.5× 558 2.1× 100 0.6× 86 1.3k
Qing Yu China 23 161 0.3× 500 1.1× 413 1.2× 420 1.5× 114 0.6× 89 1.8k
María Nogal Netherlands 23 856 1.6× 177 0.4× 187 0.6× 440 1.6× 191 1.1× 106 1.7k
William Crossley United States 24 317 0.6× 177 0.4× 119 0.4× 134 0.5× 325 1.8× 115 1.7k
Efstratios Nikolaidis United States 19 553 1.0× 225 0.5× 187 0.6× 878 3.2× 140 0.8× 107 1.6k
Ning‐Cong Xiao China 21 574 1.1× 338 0.7× 258 0.8× 1.3k 4.6× 149 0.8× 62 1.8k
Eduardo Souza de Cursi France 17 341 0.6× 173 0.4× 138 0.4× 335 1.2× 62 0.4× 92 913
S. Shan Canada 6 234 0.4× 113 0.2× 330 1.0× 479 1.8× 111 0.6× 9 1.5k
Xueyi Li China 20 159 0.3× 288 0.6× 460 1.4× 127 0.5× 712 4.0× 50 1.5k

Countries citing papers authored by Manuel Chiachío

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Chiachío

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Chiachío

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Chiachío. A scholar is included among the top collaborators of Manuel Chiachío 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 Manuel Chiachío. Manuel Chiachío 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.
Melero, Francisco Javier, et al.. (2024). Generative Adversarial Networks for Improved Model Training in the Context of the Digital Twin. Structural Control and Health Monitoring. 2024(1). 2 indexed citations
2.
Wu, Wen-Jong, et al.. (2024). An asset management modelling framework for wind turbine blades considering monitoring system reliability. Reliability Engineering & System Safety. 252. 110478–110478. 4 indexed citations
3.
Kolios, Athanasios, et al.. (2024). Reliability-based leading edge erosion maintenance strategy selection framework. Applied Energy. 358. 122612–122612. 4 indexed citations
4.
Wu, Wen, Sergio Cantero‐Chinchilla, Darren Prescott, Rasa Remenyte‐Prescott, & Manuel Chiachío. (2024). A general approach to assessing SHM reliability considering sensor failures based on information theory. Reliability Engineering & System Safety. 250. 110267–110267. 12 indexed citations
5.
Chiachío, Manuel, et al.. (2024). A computer-based simulation methodology of the predetermined maintenance scheme of an irradiation facility. Computers & Industrial Engineering. 198. 110671–110671.
6.
Cabezas, José A., et al.. (2024). A novel semi-empirical approach to non-destructively evaluate the effect of infills on frame buildings. Journal of Building Engineering. 83. 108423–108423. 1 indexed citations
7.
Fernández, Juan, Matteo Corbetta, Chetan S. Kulkarni, Juan Chiachío, & Manuel Chiachío. (2023). Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries. Computers in Industry. 155. 104058–104058. 11 indexed citations
8.
Fernández, Juan, Juan Chiachío, José A. Cabezas, Manuel Chiachío, & Chetan S. Kulkarni. (2023). Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. Reliability Engineering & System Safety. 243. 109822–109822. 24 indexed citations
9.
Fernández, Juan, Juan Chiachío, Manuel Chiachío, José A. Cabezas, & Matteo Corbetta. (2023). Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns. Engineering Applications of Artificial Intelligence. 119. 105790–105790. 21 indexed citations
10.
Wu, Wen, Sergio Cantero‐Chinchilla, Wang‐Ji Yan, et al.. (2023). Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme. Sensors. 23(8). 4160–4160. 7 indexed citations
11.
Chiachío, Manuel, et al.. (2022). Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets. Reliability Engineering & System Safety. 231. 109013–109013. 42 indexed citations
12.
Kolios, Athanasios, et al.. (2022). A wind turbine blade leading edge rain erosion computational framework. Renewable Energy. 203. 131–141. 22 indexed citations
13.
Alonso, Sergio, Rosana Montes, Daniel Molina, et al.. (2021). Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability. 13(11). 6038–6038. 12 indexed citations
14.
Palomares, Iván, Eugenio Martínez‐Cámara, Rosana Montes, et al.. (2021). A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Applied Intelligence. 51(9). 6497–6527. 130 indexed citations
15.
Fernández, Juan, et al.. (2021). Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Engineering Applications of Artificial Intelligence. 107. 104511–104511. 39 indexed citations
16.
Cantero‐Chinchilla, Sergio, James L. Beck, Juan Chiachío, Manuel Chiachío, & Dimitrios Chronopoulos. (2020). OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring. SoftwareX. 13. 100643–100643. 1 indexed citations
17.
Cantero‐Chinchilla, Sergio, James L. Beck, Manuel Chiachío, et al.. (2020). Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization. Mechanical Systems and Signal Processing. 144. 106901–106901. 39 indexed citations
18.
Cantero‐Chinchilla, Sergio, Juan Chiachío, Manuel Chiachío, et al.. (2018). Lamb Wave-based Damage Indicator for Plate-Like Structures. PHM Society European Conference. 4(1). 2 indexed citations
19.
Chiachío, Manuel, et al.. (2017). Integration of prognostics at a system level: a Petri net approach. Annual Conference of the PHM Society. 9(1). 3 indexed citations
20.
Chiachío, Juan, Manuel Chiachío, Abhinav Saxena, Guillermo Rus, & Kai Goebel. (2014). A Model-Based Prognostics Framework to Predict Fatigue Damage Evolution and Reliability in Composites. PHM Society European Conference. 2(1). 11 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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