Hernán Pinto

457 total citations
30 papers, 281 citations indexed

About

Hernán Pinto is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hernán Pinto has authored 30 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 10 papers in Mechanics of Materials and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hernán Pinto's work include Fatigue and fracture mechanics (9 papers), Optimization and Packing Problems (8 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Hernán Pinto is often cited by papers focused on Fatigue and fracture mechanics (9 papers), Optimization and Packing Problems (8 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Hernán Pinto collaborates with scholars based in Chile, Spain and United States. Hernán Pinto's co-authors include Alfonso Fernández‐Canteli, Enrique Castillo, Abílio M.P. De Jesus, José A.F.O. Correia, José García, Manuel López Aenlle, Sanjay R. Arwade, Víctor Yepes, Ricardo Soto and Vinicius Minatogawa and has published in prestigious journals such as IEEE Access, Sustainability and Engineering Fracture Mechanics.

In The Last Decade

Hernán Pinto

28 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hernán Pinto Chile 9 147 90 87 48 40 30 281
Kristo Mela Finland 11 86 0.6× 76 0.8× 286 3.3× 22 0.5× 15 0.4× 45 449
Joel Igba United Kingdom 6 58 0.4× 127 1.4× 47 0.5× 30 0.6× 11 0.3× 8 329
Mark Bowman United States 12 98 0.7× 101 1.1× 340 3.9× 35 0.7× 12 0.3× 54 449
Chuntan Gao China 8 42 0.3× 74 0.8× 84 1.0× 151 3.1× 22 0.6× 14 320
Muharrem Kemal Özfırat Türkiye 10 161 1.1× 95 1.1× 120 1.4× 16 0.3× 5 0.1× 26 311
Rajiv Nandan India 10 58 0.4× 109 1.2× 12 0.1× 67 1.4× 18 0.5× 40 370
Markku Heinisuo Finland 11 63 0.4× 50 0.6× 273 3.1× 12 0.3× 8 0.2× 45 435
Yulong Li China 13 54 0.4× 112 1.2× 12 0.1× 64 1.3× 13 0.3× 48 327
M.J. Kallen Netherlands 8 70 0.5× 84 0.9× 275 3.2× 303 6.3× 5 0.1× 11 704

Countries citing papers authored by Hernán Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Hernán Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hernán Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Hernán Pinto. A scholar is included among the top collaborators of Hernán Pinto 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 Hernán Pinto. Hernán Pinto 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.
García, José, et al.. (2025). Exploring the Impact of Local Operator Configurations in the Multi-Demand Multidimensional Knapsack Problem. Applied Sciences. 15(4). 2059–2059.
2.
García, José, et al.. (2023). Exploring Initialization Strategies for Metaheuristic Optimization: Case Study of the Set-Union Knapsack Problem. Mathematics. 11(12). 2695–2695. 5 indexed citations
3.
García, José, et al.. (2023). Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing. Applied Sciences. 13(22). 12497–12497. 13 indexed citations
4.
Calderón, Enrique J., et al.. (2023). Development of the Historical Analysis of the Seismic Parameters for Retroffiting Measures in Chilean Bridges. Buildings. 13(2). 274–274. 4 indexed citations
5.
7.
García, José, Broderick Crawford, Ricardo Soto, et al.. (2019). A Db-Scan Binarization Algorithm Applied to Matrix Covering Problems. Computational Intelligence and Neuroscience. 2019. 1–16. 22 indexed citations
8.
Jorquera, Lorena, et al.. (2019). A Percentile Multi-Verse Optimizer Algorithm applied to the Knapsack problem. 1–8. 2 indexed citations
9.
Jorquera, Lorena, et al.. (2019). A Binary Ant Lion Optimizer applied to Knapsack problem. 1 indexed citations
10.
Pinto, Hernán, et al.. (2019). A Percentile Methodology Applied to Binarization of Swarm Intelligence Metaheuristics. Journal of Information Systems Engineering & Management. 4(4). 2 indexed citations
11.
Hernández, Francisco C. Robles, et al.. (2019). Proposal methodology to assess debris current design in traditional Chilean Bridges. Report. 115. 165–169.
12.
Pinto, Hernán, et al.. (2017). A binary multi-verse optimizer algorithm applied to the set covering problem. 6 indexed citations
13.
Pinto, Hernán, et al.. (2017). Minimum geotechnical requirements for traditional and singular bridges foundations design: Chacao Suspension Bridge. Scientific Electronic Library Online (Scientific Electronic Library Online). 16(3). 498–506. 6 indexed citations
14.
Pinto, Hernán, et al.. (2016). Dynamic Barriers for Protection against Rocks Falls. Revista de la construcción. 15(3). 27–37. 3 indexed citations
15.
Pinto, Hernán, et al.. (2015). Exterior Wood-Concrete Slabs, Experimentation and Modeling of Mechanical Behavior: Part 1. Revista de la construcción. 14(2). 86–90. 1 indexed citations
16.
Pinto, Hernán, Abílio M.P. De Jesus, & Alfonso Fernández‐Canteli. (2009). Analysis of Constant and Variable Amplitude Strain-Life Data Using a Novel Probabilistic Weibull Regression Model. 457–467. 1 indexed citations
17.
Jesus, Abílio M.P. De, Hernán Pinto, Alfonso Fernández‐Canteli, Enrique Castillo, & José A.F.O. Correia. (2009). Fatigue assessment of a riveted shear splice based on a probabilistic model. International Journal of Fatigue. 32(2). 453–462. 87 indexed citations
18.
Castillo, Enrique, Alfonso Fernández‐Canteli, Hernán Pinto, & Manuel López Aenlle. (2008). A general regression model for statistical analysis of strain–life fatigue data. Materials Letters. 62(21-22). 3639–3642. 38 indexed citations
19.
Castillo, Enrique, et al.. (2008). A statistical model for crack growth based on tension and compression Wöhler fields. Engineering Fracture Mechanics. 75(15). 4439–4449. 7 indexed citations
20.
Fernández‐Canteli, Alfonso, et al.. (2008). Estimating the S–N Field From Strain–Lifetime Curves. Strain. 47(s1). 9 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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