Ricardo Insa

448 total citations
18 papers, 360 citations indexed

About

Ricardo Insa is a scholar working on Mechanical Engineering, Civil and Structural Engineering and General Engineering. According to data from OpenAlex, Ricardo Insa has authored 18 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 12 papers in Civil and Structural Engineering and 6 papers in General Engineering. Recurrent topics in Ricardo Insa's work include Railway Engineering and Dynamics (14 papers), Civil and Geotechnical Engineering Research (6 papers) and Railway Systems and Energy Efficiency (5 papers). Ricardo Insa is often cited by papers focused on Railway Engineering and Dynamics (14 papers), Civil and Geotechnical Engineering Research (6 papers) and Railway Systems and Energy Efficiency (5 papers). Ricardo Insa collaborates with scholars based in Spain, Colombia and Portugal. Ricardo Insa's co-authors include Pablo Salvador Zuriaga, Valery Naranjo, A. Roda, Paulo Fonseca Teixeira, Pablo Martínez Fernández, Luis Baeza, Juan Pineda-Jaramillo, Ignacio Villalba Sanchís, Julio Garzón-Roca and Luis Medina and has published in prestigious journals such as Expert Systems with Applications, Measurement and Vehicle System Dynamics.

In The Last Decade

Ricardo Insa

16 papers receiving 350 citations

Peers

Ricardo Insa

CSE

IME

Olga Nabochenko Germany

Allan M. Zarembski United States

Hossein Askarinejad Iran

Dmytro Kurhan Ukraine

Andrzej Chudzikiewicz Poland

Luka Lazarević Serbia

Hougui Zhang China

Tim McSweeney Australia

Julia Real Spain

C Esveld Netherlands

Olga Nabochenko Germany

Ricardo Insa

461 ×1.6

344 ×1.7

CSE

104 ×1.4

60 ×0.9

76 ×1.1

IME

Citations per year, relative to Ricardo Insa Ricardo Insa (= 1×) peers Olga Nabochenko

Countries citing papers authored by Ricardo Insa

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Insa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Insa

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Insa. A scholar is included among the top collaborators of Ricardo Insa 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 Ricardo Insa. Ricardo Insa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Sanchís, Ignacio Villalba, et al.. (2024). Discrete elements method to model ballast behaviour under railway turnouts. Cogent Engineering. 11(1).

Silva-Rodríguez, Julio, Pablo Salvador Zuriaga, Valery Naranjo, & Ricardo Insa. (2022). Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections. Expert Systems with Applications. 207. 117946–117946. 6 indexed citations

Pineda-Jaramillo, Juan, Pablo Martínez Fernández, Ignacio Villalba Sanchís, Pablo Salvador Zuriaga, & Ricardo Insa. (2020). Predicting the traction power of metropolitan railway lines using different machine learning models. International Journal of Rail Transportation. 9(5). 461–478. 24 indexed citations

Pineda-Jaramillo, Juan, Pablo Salvador Zuriaga, Pablo Martínez Fernández, & Ricardo Insa. (2020). Impact of Symmetric Vertical Sinusoid Alignments on Infrastructure Construction Costs: Optimizing Energy Consumption in Metropolitan Railway Lines Using Artificial Neural Networks. Urban Rail Transit. 6(3). 145–156. 4 indexed citations

Yepes, Víctor, et al.. (2019). LIFE CYCLE ASSESSMENT FOR SUSTAINABLE DESIGN OF RAILWAY INFRASTRUCTURES. A CASE STUDY APPLICATION IN EDUCATION. INTED proceedings. 1. 1742–1749. 1 indexed citations

Sanchís, Ignacio Villalba, Ricardo Insa, Pablo Salvador Zuriaga, & Pablo Martínez Fernández. (2018). An analytical model for the prediction of thermal track buckling in dual gauge tracks. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 232(8). 2163–2172. 6 indexed citations

Pineda-Jaramillo, Juan, Ricardo Insa, & Pablo Martínez Fernández. (2017). Modeling the energy consumption of trains by applying neural networks. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 232(3). 816–823. 19 indexed citations

Pineda-Jaramillo, Juan, Pablo Salvador Zuriaga, & Ricardo Insa. (2017). Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain). DYNA. 84(203). 17–23. 7 indexed citations

Garzón-Roca, Julio, et al.. (2017). Use of rubber shreds to enhance attenuation of railway sub-ballast layers made of unbound aggregates. Materiales de Construcción. 67(326). e115–e115. 23 indexed citations

10.

Zuriaga, Pablo Salvador, Pablo Martínez Fernández, Ignacio Villalba Sanchís, & Ricardo Insa. (2017). Modelling energy consumption in diesel multiple units. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 232(5). 1539–1548. 6 indexed citations

11.

Fernández, Pablo Martínez, et al.. (2016). Analysis of the bearing capacity of unbound granular mixtures with rubber particles from scrap tyres when used as sub-ballast. Materiales de Construcción. 66(324). e105–e105. 6 indexed citations

12.

Zuriaga, Pablo Salvador, Valery Naranjo, Ricardo Insa, & Paulo Fonseca Teixeira. (2016). Axlebox accelerations: Their acquisition and time–frequency characterisation for railway track monitoring purposes. Measurement. 82. 301–312. 108 indexed citations

13.

Sanchís, Ignacio Villalba, Ricardo Insa, Pablo Salvador Zuriaga, & Pablo Martínez Fernández. (2016). Methodology for evaluating thermal track buckling in dual gauge tracks with continuous welded rail. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 231(3). 269–279. 15 indexed citations

14.

Insa, Ricardo, et al.. (2013). Analysis of the performance of under-sleeper pads in high-speed line transition zones. Proceedings of the Institution of Civil Engineers - Transport. 167(2). 63–77. 19 indexed citations

15.

Insa, Ricardo, et al.. (2012). Predictive Railway Maintenance based on Statistical Analysis of Track Geometric Parameters. Civil-comp proceedings. 1 indexed citations

16.

Insa, Ricardo, et al.. (2012). On the filtering effects of the chord offset method for monitoring track geometry. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 226(6). 650–654. 8 indexed citations

17.

Insa, Ricardo, et al.. (2011). Analysis of the influence of under sleeper pads on the railway vehicle/track dynamic interaction in transition zones. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 226(4). 409–420. 41 indexed citations

18.

Baeza, Luis, et al.. (2008). High frequency railway vehicle-track dynamics through flexible rotating wheelsets. Vehicle System Dynamics. 46(7). 647–659. 66 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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