Miguel A. Aguiló
- Civil and Structural Engineering top 5%
- Mechanics of Materials top 10%
- Mechanical Engineering
- Automotive Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Gláucio H. PaulinoEmily D. SandersLauren L. BeghiniBrett W. ClarkBradley Howell JaredBryan KaehrAdam CookJoshua Robbins
- Topics
- Topology Optimization in Engineering (7 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)Probabilistic and Robust Engineering Design (4 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in EngineeringScripta Materialia
- Partner nations
- United StatesBrazil
In The Last Decade
Miguel A. Aguiló
12 papers receiving 369 citations
Peers
Comparison fields: 5 of 48
- Civil and Structural Engineering 199
- Mechanics of Materials 151
- Mechanical Engineering 136
- Automotive Engineering 118
- Computational Theory and Mathematics 80
Countries citing papers authored by Miguel A. Aguiló
This map shows the geographic impact of Miguel A. Aguiló'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 Miguel A. Aguiló with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Aguiló more than expected).
Fields of papers citing papers by Miguel A. Aguiló
This network shows the impact of papers produced by Miguel A. Aguiló. 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 Miguel A. Aguiló. The network helps show where Miguel A. Aguiló may publish in the future.
Co-authorship network of co-authors of Miguel A. Aguiló
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Aguiló. A scholar is included among the top collaborators of Miguel A. Aguiló 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 Miguel A. Aguiló. Miguel A. Aguiló is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 24 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 64 | |
| 7 | 85 | |
| 8 | 148 | |
| 9 | Uncertainty Aware Structural Topology Optimization Via a Stochastic Reduced Order Model Approach | 1 |
| 10 | Strain-Based Damage Determination Using Finite Element Analysis for Structural Health Management | 2 |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 8 |
About Miguel A. Aguiló
Miguel A. Aguiló is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics, having authored 13 papers that have together received 384 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Automotive Engineering (118 citations), Civil and Structural Engineering (199 citations) and Mechanics of Materials (151 citations). Miguel A. Aguiló has collaborated with scholars based in United States and Brazil. Frequent co-authors include Gláucio H. Paulino, Emily D. Sanders, Lauren L. Beghini, Brett W. Clark, Bradley Howell Jared, Bryan Kaehr, Adam Cook, Joshua Robbins, Brad Boyce and Anderson Pereira. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Scripta Materialia.
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.