Eduardo Miranda

9.1k total citations · 4 hit papers
161 papers, 7.1k citations indexed

About

Eduardo Miranda is a scholar working on Civil and Structural Engineering, Building and Construction and Geophysics. According to data from OpenAlex, Eduardo Miranda has authored 161 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Civil and Structural Engineering, 19 papers in Building and Construction and 17 papers in Geophysics. Recurrent topics in Eduardo Miranda's work include Seismic Performance and Analysis (123 papers), Structural Health Monitoring Techniques (84 papers) and Structural Engineering and Vibration Analysis (34 papers). Eduardo Miranda is often cited by papers focused on Seismic Performance and Analysis (123 papers), Structural Health Monitoring Techniques (84 papers) and Structural Engineering and Vibration Analysis (34 papers). Eduardo Miranda collaborates with scholars based in United States, Chile and Mexico. Eduardo Miranda's co-authors include Jorge Ruiz‐García, Vitelmo V. Bertero, Dimitrios G. Lignos, Shahram Taghavi, Laura Eads, Sinan Akkar, Shih-Chung Kang, Yu‐Yuan Lin, Gilberto Mosqueda and Gökhan Pekcan and has published in prestigious journals such as Bulletin of the Seismological Society of America, Automation in Construction and Engineering Structures.

In The Last Decade

Eduardo Miranda

152 papers receiving 6.7k citations

Hit Papers

6. Evaluation of Strength Reduction Factors for Earthquak... 1994 2026 2004 2015 1994 2012 2015 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Miranda United States 44 6.5k 1.4k 461 456 365 161 7.1k
Gian Michele Calvi Italy 39 7.7k 1.2× 3.4k 2.3× 257 0.6× 416 0.9× 225 0.6× 170 8.0k
Chin‐Hsiung Loh Taiwan 37 3.7k 0.6× 245 0.2× 597 1.3× 575 1.3× 198 0.5× 229 4.3k
Carlos E. Ventura Canada 30 3.6k 0.5× 529 0.4× 435 0.9× 202 0.4× 301 0.8× 161 3.9k
Andrew S. Whittaker United States 50 7.6k 1.2× 1.9k 1.3× 621 1.3× 414 0.9× 300 0.8× 215 8.3k
Joan R. Casas Spain 33 3.6k 0.6× 828 0.6× 258 0.6× 109 0.2× 194 0.5× 231 4.9k
Alemdar Bayraktar Türkiye 34 3.3k 0.5× 448 0.3× 175 0.4× 111 0.2× 179 0.5× 179 3.5k
Oh‐Sung Kwon Canada 29 2.3k 0.4× 445 0.3× 315 0.7× 137 0.3× 210 0.6× 144 2.7k
Stefan Hurlebaus United States 34 3.1k 0.5× 541 0.4× 336 0.7× 136 0.3× 117 0.3× 152 3.9k
Tara C. Hutchinson United States 30 3.2k 0.5× 590 0.4× 183 0.4× 181 0.4× 37 0.1× 190 3.7k
Giovanni Fabbrocino Italy 34 3.1k 0.5× 905 0.6× 135 0.3× 192 0.4× 411 1.1× 162 3.6k

Countries citing papers authored by Eduardo Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Miranda. A scholar is included among the top collaborators of Eduardo Miranda 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 Eduardo Miranda. Eduardo Miranda 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.
2.
Miranda, Eduardo, et al.. (2025). Regional damage estimation of tall pre‐Northridge steel moment‐resisting frame buildings in San Francisco during the Loma Prieta earthquake. Earthquake Spectra. 41(3). 2060–2088. 1 indexed citations
3.
Miranda, Eduardo, et al.. (2024). Simplified site response analysis for regional seismic risk assessments. Soil Dynamics and Earthquake Engineering. 188. 109022–109022. 4 indexed citations
5.
Miranda, Eduardo, et al.. (2023). Evaluation of random-vibration procedures to estimate response spectral ordinates on soft soil sites from fourier amplitude spectra. Soil Dynamics and Earthquake Engineering. 166. 107776–107776. 8 indexed citations
6.
Miranda, Eduardo, et al.. (2023). RPBEE: Performance‐based earthquake engineering on a regional scale. Earthquake Spectra. 39(3). 1328–1351. 19 indexed citations
7.
Poulos, Alan, et al.. (2023). Directionality and polarization of response spectral ordinates in the 2023 Kahramanmaras, Türkiye earthquake doublet. Earthquake Spectra. 40(1). 486–504. 8 indexed citations
8.
Ruiz‐García, Jorge, et al.. (2020). Observations of Rayleigh waves in Mexico City Valley during the 19 September 2017 Puebla–Morelos, Mexico earthquake. Earthquake Spectra. 36(S2). 62–82. 9 indexed citations
9.
Miranda, Eduardo, et al.. (2020). The effect of spectral shape on damping modification factors. Earthquake Spectra. 36(4). 2086–2111. 5 indexed citations
10.
Miranda, Eduardo, et al.. (2020). Evaluation of FIV3 as an Intensity Measure for Collapse Estimation of Moment-Resisting Frame Buildings. Journal of Structural Engineering. 146(10). 11 indexed citations
11.
Miranda, Eduardo, et al.. (2019). Evaluation of the Scaling Factor Bias Influence on the Probability of Collapse Using S a ( T 1 ) as the Intensity Measure. Earthquake Spectra. 35(2). 679–702. 55 indexed citations
12.
Miranda, Eduardo, et al.. (2019). Predicting earthquake‐induced sliding displacements using effective incremental ground velocity. Earthquake Spectra. 36(1). 378–399. 1 indexed citations
13.
Araya-Letelier, Gerardo, Eduardo Miranda, & Gregory G. Deierlein. (2018). Development and Testing of a Friction/Sliding Connection to Improve the Seismic Performance of Gypsum Partition Walls. Earthquake Spectra. 35(2). 653–677. 23 indexed citations
14.
Miranda, Eduardo, et al.. (2018). Ground Motion Prediction Model for the Peak Inelastic Displacement of Single‐Degree‐of‐Freedom Bilinear Systems. Earthquake Spectra. 34(3). 1177–1199. 11 indexed citations
15.
Deierlein, Gregory G., et al.. (2016). Full‐Scale Dynamic Testing of a Sliding Seismically Isolated Unibody House. Earthquake Spectra. 32(4). 2245–2270. 38 indexed citations
16.
Llera, Juan Carlos de la, et al.. (2012). Performance of Port Facilities in Southern Chile during the 27 February 2010 Maule Earthquake. Earthquake Spectra. 28(1S1). 553–579. 19 indexed citations
17.
Miranda, Eduardo, et al.. (2002). 12 Heritage Structures. Earthquake Spectra. 18(1S). 225–255. 1 indexed citations
18.
Miranda, Eduardo & Vitelmo V. Bertero. (1994). 6. Evaluation of Strength Reduction Factors for Earthquake‐Resistant Design. Earthquake Spectra. 10(2). 357–379. 488 indexed citations breakdown →
19.
Miranda, Eduardo. (1993). 4. Evaluation of Seismic Design Criteria for Highway Bridges. Earthquake Spectra. 9(2). 233–250. 12 indexed citations
20.
Miranda, Eduardo & Vitelmo V. Bertero. (1989). 9. The Mexico Earthquake of September 19, 1985—Performance of Low‐Rise Buildings in Mexico City. Earthquake Spectra. 5(1). 121–143. 25 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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