Julián Sierra-Pérez

1.2k total citations · 1 hit paper
44 papers, 828 citations indexed

About

Julián Sierra-Pérez is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Julián Sierra-Pérez has authored 44 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Civil and Structural Engineering, 17 papers in Electrical and Electronic Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Julián Sierra-Pérez's work include Structural Health Monitoring Techniques (24 papers), Advanced Fiber Optic Sensors (13 papers) and Wind Energy Research and Development (7 papers). Julián Sierra-Pérez is often cited by papers focused on Structural Health Monitoring Techniques (24 papers), Advanced Fiber Optic Sensors (13 papers) and Wind Energy Research and Development (7 papers). Julián Sierra-Pérez collaborates with scholars based in Colombia, Spain and France. Julián Sierra-Pérez's co-authors include Alfredo Güemes, Antonio Fernández-López, Miguel Ángel Torres-Arredondo, César Nieto‐Londoño, Ángel E. Lozano, Luis Eduardo Mújica Delgado, Magda Ruiz Ordóñez, José Rodellar, Guénaël Cabanès and Carlos Andrés Ramos‐Paja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Sensors.

In The Last Decade

Julián Sierra-Pérez

38 papers receiving 800 citations

Hit Papers

Structural Health Monitoring for Advanced Composite Struc... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julián Sierra-Pérez Colombia 14 428 263 255 167 114 44 828
Hui Luo China 21 743 1.7× 332 1.3× 519 2.0× 301 1.8× 115 1.0× 76 1.3k
Paweł Malinowski Poland 22 1.1k 2.6× 281 1.1× 1.1k 4.5× 580 3.5× 158 1.4× 114 1.7k
Magdalena Mieloszyk Poland 18 428 1.0× 283 1.1× 268 1.1× 213 1.3× 70 0.6× 58 909
Ajit Achuthan United States 18 77 0.2× 243 0.9× 244 1.0× 342 2.0× 33 0.3× 51 889
Jun Teng China 22 1.2k 2.7× 230 0.9× 299 1.2× 295 1.8× 52 0.5× 120 1.6k
Richard Crossley United Kingdom 10 135 0.3× 120 0.5× 189 0.7× 209 1.3× 27 0.2× 15 713
Soib Taib Malaysia 14 51 0.1× 455 1.7× 338 1.3× 163 1.0× 53 0.5× 52 1.0k
Tzuyang Yu United States 17 446 1.0× 356 1.4× 247 1.0× 192 1.1× 63 0.6× 88 1.0k

Countries citing papers authored by Julián Sierra-Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Julián Sierra-Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julián Sierra-Pérez. 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 Julián Sierra-Pérez. The network helps show where Julián Sierra-Pérez may publish in the future.

Co-authorship network of co-authors of Julián Sierra-Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Sierra-Pérez. A scholar is included among the top collaborators of Julián Sierra-Pérez 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 Julián Sierra-Pérez. Julián Sierra-Pérez 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.
Nieto‐Londoño, César, et al.. (2025). A meta-model based cross-sectional shape of a Savonius hydrokinetic turbine for sustainable power generation in remote rural areas. Renewable Energy. 244. 122647–122647. 3 indexed citations
3.
Escobar, Carlos A., et al.. (2024). On the Integration of Complex Systems Engineering and Industry 4.0 Technologies for the Conceptual Design of Robotic Systems. Machines. 12(9). 625–625. 1 indexed citations
4.
Nieto‐Londoño, César, et al.. (2023). Fluid–Structure Interaction Analysis of a Wind Turbine Blade with Passive Control by Bend–Twist Coupling. Energies. 16(18). 6619–6619. 3 indexed citations
5.
Nieto‐Londoño, César, et al.. (2022). Performance Analysis and Architecture of a Clustering Hybrid Algorithm Called FA+GA-DBSCAN Using Artificial Datasets. Entropy. 24(7). 875–875. 3 indexed citations
6.
Sierra-Pérez, Julián, et al.. (2022). Validación experimental de un método analítico para el monitoreo de movimientos de tierra en masa mediante sensores de fibra óptica. SHILAP Revista de lepidopterología. 32(2). 43–60. 1 indexed citations
7.
Nieto‐Londoño, César, et al.. (2022). Techno-economic assessment of small wind turbines under la Guajira-Colombia resource conditions. CT&F - Ciencia Tecnología y Futuro. 12(1). 45–56. 3 indexed citations
8.
Ramos‐Paja, Carlos Andrés, et al.. (2020). Design Method of Dual Active Bridge Converters for Photovoltaic Systems with High Voltage Gain. Energies. 13(7). 1711–1711. 21 indexed citations
9.
Nieto‐Londoño, César, et al.. (2020). Technological and Operational Aspects That Limit Small Wind Turbines Performance. Energies. 13(22). 6123–6123. 15 indexed citations
11.
Sierra-Pérez, Julián, et al.. (2020). Formulation and simulation of a hybrid solar PV-wind generation system with photovoltaic concentration for non-interconnected areas to the energy grid. SHILAP Revista de lepidopterología. 181. 2002–2002. 4 indexed citations
12.
Sierra-Pérez, Julián, et al.. (2018). Structural health monitoring using carbon nanotube/epoxy composites and strain-field pattern recognition. AIP conference proceedings. 2004. 20003–20003.
13.
Ordóñez, Magda Ruiz, Luis Eduardo Mújica Delgado, Julián Sierra-Pérez, Francesc Pozo, & José Rodellar. (2017). Multiway principal component analysis contributions for structural damage localization. Structural Health Monitoring. 17(5). 1151–1165. 15 indexed citations
14.
15.
Sierra-Pérez, Julián, et al.. (2017). Structural health monitoring on an unmanned aerial vehicle wing's beam based on fiber Bragg gratings and pattern recognition techniques. Procedia Structural Integrity. 5. 729–736. 4 indexed citations
16.
Sierra-Pérez, Julián, Miguel Ángel Torres-Arredondo, & Alfredo Güemes. (2015). Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison. Composite Structures. 135. 156–166. 110 indexed citations
17.
Sierra-Pérez, Julián, Alfredo Güemes, Luis Eduardo Mújica Delgado, & Magda Ruiz Ordóñez. (2014). Damage detection in composite materials structures under variable loads conditions by using fiber Bragg gratings and principal component analysis, involving new unfolding and scaling methods. Journal of Intelligent Material Systems and Structures. 26(11). 1346–1359. 11 indexed citations
18.
Sierra-Pérez, Julián & Alfredo Güemes. (2013). Damage Detection at an Aluminum Beam from Discrete and Continuous Strain Measurements. Structural Health Monitoring. 2 indexed citations
19.
Güemes, Alfredo, Julián Sierra-Pérez, José Rodellar, & Luis Eduardo Mújica Delgado. (2013). A Robust Procedure for Damage Detection from Strain Measurements Based on Principal Component Analysis. Key engineering materials. 558. 128–138. 2 indexed citations
20.
Sierra-Pérez, Julián, Alfredo Güemes, & Luis Eduardo Mújica Delgado. (2012). Damage detection by using FBGs and strain field pattern recognition techniques. Smart Materials and Structures. 22(2). 25011–25011. 33 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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