Diego A. Álvarez

1.1k total citations
29 papers, 873 citations indexed

About

Diego A. Álvarez is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Diego A. Álvarez has authored 29 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics, Probability and Uncertainty, 15 papers in Civil and Structural Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Diego A. Álvarez's work include Probabilistic and Robust Engineering Design (18 papers), Structural Health Monitoring Techniques (12 papers) and Multi-Criteria Decision Making (4 papers). Diego A. Álvarez is often cited by papers focused on Probabilistic and Robust Engineering Design (18 papers), Structural Health Monitoring Techniques (12 papers) and Multi-Criteria Decision Making (4 papers). Diego A. Álvarez collaborates with scholars based in Colombia, United Kingdom and Germany. Diego A. Álvarez's co-authors include Jorge E. Hurtado, Edoardo Patelli, Marco de Angelis, Matteo Broggi, Enric Trillas, John E. Hurtado, Horia Alejandro Barbat Barbat and Tetsu Kubota and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Fuzzy Sets and Systems.

In The Last Decade

Diego A. Álvarez

27 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego A. Álvarez Colombia 15 607 474 185 154 113 29 873
Chao Dang China 20 822 1.4× 520 1.1× 210 1.1× 191 1.2× 72 0.6× 55 1.0k
Z. Zhang China 15 838 1.4× 508 1.1× 337 1.8× 174 1.1× 106 0.9× 19 1.0k
Changcong Zhou China 18 628 1.0× 370 0.8× 208 1.1× 232 1.5× 82 0.7× 70 785
Yan Shi China 19 779 1.3× 390 0.8× 361 2.0× 176 1.1× 173 1.5× 78 1.2k
Chunyan Ling China 15 591 1.0× 272 0.6× 264 1.4× 116 0.8× 129 1.1× 39 733
Ramesh Rebba United States 9 512 0.8× 277 0.6× 174 0.9× 103 0.7× 90 0.8× 15 712
Dimitris G. Giovanis United States 15 435 0.7× 345 0.7× 177 1.0× 178 1.2× 56 0.5× 34 819
Sinan Xiao China 17 624 1.0× 328 0.7× 177 1.0× 210 1.4× 100 0.9× 47 792
Jean‐Marc Bourinet France 13 842 1.4× 431 0.9× 390 2.1× 202 1.3× 204 1.8× 32 1.0k
Sifeng Bi China 16 444 0.7× 378 0.8× 111 0.6× 77 0.5× 58 0.5× 44 718

Countries citing papers authored by Diego A. Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Diego A. Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego A. Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Diego A. Álvarez. A scholar is included among the top collaborators of Diego A. Álvarez 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 Diego A. Álvarez. Diego A. Álvarez 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.
Álvarez, Diego A., et al.. (2025). A State-of-the-Art Review of the Bouc-Wen Class Model of Hysteresis: Origin, Evolution and Current State. Archives of Computational Methods in Engineering. 33(1). 1–51.
2.
Álvarez, Diego A., et al.. (2023). Hysteresis modeling of structural systems using physics-guided universal ordinary differential equations. Computers & Structures. 280. 106988–106988. 2 indexed citations
3.
Álvarez, Diego A., et al.. (2023). Scenario analysis of embodied energy and CO2 emissions for multistory apartments in Indonesia. SHILAP Revista de lepidopterología. 396. 4015–4015. 1 indexed citations
4.
5.
Álvarez, Diego A., et al.. (2022). On the Use of Copulas in Geotechnical Engineering: A Tutorial and State-of-the-Art-Review. Archives of Computational Methods in Engineering. 29(7). 4683–4733. 17 indexed citations
6.
Álvarez, Diego A., et al.. (2022). Correction to: On the Use of Copulas in Geotechnical Engineering: A Tutorial and State-of-the-Art-Review. Archives of Computational Methods in Engineering. 29(5). 3535–3535. 1 indexed citations
7.
Hurtado, John E., Diego A. Álvarez, & Horia Alejandro Barbat Barbat. (2018). Monte Carlo analysis of structural systems using neural networks. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2 indexed citations
8.
Álvarez, Diego A., et al.. (2017). Estimation of the lower and upper bounds on the probability of failure using subset simulation and random set theory. Mechanical Systems and Signal Processing. 100. 782–801. 67 indexed citations
9.
Álvarez, Diego A., et al.. (2017). Tighter bounds on the probability of failure than those provided by random set theory. Computers & Structures. 189. 101–113. 10 indexed citations
10.
Hurtado, Jorge E., et al.. (2017). Interval reliability analysis under the specification of statistical information on the input variables. Structural Safety. 65. 35–48. 17 indexed citations
11.
Álvarez, Diego A., et al.. (2014). Identification of Bouc–Wen type models using the Transitional Markov Chain Monte Carlo method. Computers & Structures. 146. 252–269. 66 indexed citations
12.
Álvarez, Diego A., et al.. (2014). Estimation of the Lower and Upper Probabilities of Failure Using Random Sets and Subset Simulation. 905–914. 5 indexed citations
13.
Patelli, Edoardo, Diego A. Álvarez, Matteo Broggi, & Marco de Angelis. (2014). Uncertainty Management in Multidisciplinary Design of Critical Safety Systems. Journal of Aerospace Information Systems. 12(1). 140–169. 44 indexed citations
14.
Álvarez, Diego A., et al.. (2014). Modelo dinámico no lineal para evaluar el comportamiento sísmico de viviendas de ferrocemento. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 31(3). 139–145. 3 indexed citations
15.
Álvarez, Diego A., et al.. (2012). Prediction of modified Mercalli intensity from PGA, PGV, moment magnitude, and epicentral distance using several nonlinear statistical algorithms. Journal of Seismology. 16(3). 489–511. 11 indexed citations
16.
Hurtado, Jorge E. & Diego A. Álvarez. (2012). The encounter of interval and probabilistic approaches to structural reliability at the design point. Computer Methods in Applied Mechanics and Engineering. 225-228. 74–94. 42 indexed citations
17.
Álvarez, Diego A.. (2008). A Monte Carlo-based method for the estimation of lower and upper probabilities of events using infinite random sets of indexable type. Fuzzy Sets and Systems. 160(3). 384–401. 29 indexed citations
18.
Álvarez, Diego A.. (2007). Nonspecificity for infinite random sets of indexable type. Fuzzy Sets and Systems. 159(3). 289–306. 4 indexed citations
19.
Álvarez, Diego A.. (2006). On the calculation of the bounds of probability of events using infinite random sets. International Journal of Approximate Reasoning. 43(3). 241–267. 63 indexed citations
20.
Hurtado, Jorge E. & Diego A. Álvarez. (2001). Neural-network-based reliability analysis: a comparative study. Computer Methods in Applied Mechanics and Engineering. 191(1-2). 113–132. 221 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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