P. Cuervo

490 total citations
14 papers, 369 citations indexed

About

P. Cuervo is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, P. Cuervo has authored 14 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 12 papers in Mechanical Engineering and 7 papers in Materials Chemistry. Recurrent topics in P. Cuervo's work include Lubricants and Their Additives (7 papers), Metal Alloys Wear and Properties (5 papers) and Adhesion, Friction, and Surface Interactions (5 papers). P. Cuervo is often cited by papers focused on Lubricants and Their Additives (7 papers), Metal Alloys Wear and Properties (5 papers) and Adhesion, Friction, and Surface Interactions (5 papers). P. Cuervo collaborates with scholars based in Colombia, United Kingdom and Mexico. P. Cuervo's co-authors include Alejandro Toro, Juan Felipe Santa, Javier Lara‐Romero, Lina Marcela Hoyos Palacio, Carlos Gantiva, Roger Lewis, Hisham A. Abdel-Aal, Matthew Marshall, E. Zuluaga and Daniel López and has published in prestigious journals such as Wear, Tribology International and Journal of the mechanical behavior of biomedical materials.

In The Last Decade

P. Cuervo

13 papers receiving 355 citations

Peers

P. Cuervo
Sepideh Ghodrat Netherlands
Paul Koning United States
Riad Sahli Germany
Xiaowei Dai China
Chuanwei Wang China
Anton Hadăr Romania
P.H.M. Timmermans Netherlands
Peter Gilles Luxembourg
Guangchao Wan United States
Sepideh Ghodrat Netherlands
P. Cuervo
Citations per year, relative to P. Cuervo P. Cuervo (= 1×) peers Sepideh Ghodrat

Countries citing papers authored by P. Cuervo

Since Specialization
Citations

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

Fields of papers citing papers by P. Cuervo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Cuervo

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

All Works

14 of 14 papers shown
1.
Cuervo, P., et al.. (2023). A twin-disc study of the role of the surface quality achieved by grinding on the wear resistance and rolling contact fatigue behavior of wheel/rail pairs. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 238(4). 394–405.
2.
Cuervo, P., et al.. (2023). New Methodology for Assessing Preventive Grinding in Rails. 1. 1–8. 1 indexed citations
3.
4.
Zuluaga, E., et al.. (2021). Tribological behavior of polymeric 3D-printed surfaces with deterministic patterns inspired in snake skin morphology. Surface Topography Metrology and Properties. 9(1). 14002–14002. 14 indexed citations
5.
Toro, Alejandro, Hisham A. Abdel-Aal, E. Zuluaga, et al.. (2021). Influence of surface morphology and internal structure on the mechanical properties and tribological response of Boa Red Tail and Python Regius snake skin. Journal of the mechanical behavior of biomedical materials. 119. 104497–104497. 14 indexed citations
6.
Cuervo, P., et al.. (2020). A laboratory demonstration of rail grinding and analysis of running roughness and wear. Wear. 456-457. 203379–203379. 36 indexed citations
7.
Gantiva, Carlos, et al.. (2019). Cortical processing of human and emoji faces: an ERP analysis. Behaviour and Information Technology. 39(8). 935–943. 58 indexed citations
8.
Santa, Juan Felipe, et al.. (2019). Twin disc assessment of wear regime transitions and rolling contact fatigue in R400HT – E8 pairs. Wear. 432-433. 102916–102916. 37 indexed citations
9.
Cuervo, P., et al.. (2018). Twin disc assessment of wear regime transitions in R400ht-E8 Pairs. Scopus. 181–188. 1 indexed citations
10.
Cuervo, P., et al.. (2016). Propiedades reológicas de nanotubos de carbono como aditivo en un fluido lubricante. DYNA. 83(199). 229–229. 3 indexed citations
11.
Cuervo, P., et al.. (2016). Development of low friction snake-inspired deterministic textured surfaces. Surface Topography Metrology and Properties. 4(2). 24013–24013. 33 indexed citations
12.
Cuervo, P., et al.. (2015). Modificación y Evaluación de un Lubricante con Nanotubos de Carbono para Aplicaciones en Sistemas Rodantes-Deslizantes. 20(2). 9–33. 1 indexed citations
13.
Cuervo, P., et al.. (2015). Tribological properties of carbon nanotubes as lubricant additive in oil and water for a wheel–rail system. Journal of Materials Research and Technology. 5(1). 68–76. 101 indexed citations
14.
Cuervo, P., Juan Felipe Santa, & Alejandro Toro. (2014). Correlations between wear mechanisms and rail grinding operations in a commercial railroad. Tribology International. 82. 265–273. 59 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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2026