David Ayala–Cabrera

809 total citations · 1 hit paper
34 papers, 406 citations indexed

About

David Ayala–Cabrera is a scholar working on Civil and Structural Engineering, Ocean Engineering and Geophysics. According to data from OpenAlex, David Ayala–Cabrera has authored 34 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 19 papers in Ocean Engineering and 7 papers in Geophysics. Recurrent topics in David Ayala–Cabrera's work include Water Systems and Optimization (20 papers), Geophysical Methods and Applications (15 papers) and Geophysical and Geoelectrical Methods (6 papers). David Ayala–Cabrera is often cited by papers focused on Water Systems and Optimization (20 papers), Geophysical Methods and Applications (15 papers) and Geophysical and Geoelectrical Methods (6 papers). David Ayala–Cabrera collaborates with scholars based in Spain, Ireland and Belgium. David Ayala–Cabrera's co-authors include Joaquín Izquierdo, Manuel Herrera, Rafael Pérez-García, Rafael Pérez‐García, Franziska Schmidt, Simona Fontul, Vega Pérez‐Gracia, Jorge C. Pais, Francisco M. Fernandes and Mercedes Solla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Sensors.

In The Last Decade

David Ayala–Cabrera

29 papers receiving 391 citations

Hit Papers

GPR monitoring for road transport infrastructure: A syste... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GPR monitoring for road transport infrastructure: A systematic review and machine learning insights
    2022 112 citations Mezgeen Rasol, Jorge C. Pais et al. Construction and Building Materials profile →

Peers

David Ayala–Cabrera
Gökhan Kılıç Türkiye
Ralf Birken United States
Rui Xiao China
Dan Sui Norway
Bo Lei China
Michele Romano United Kingdom
Celso K. Morooka Brazil
Qihao Yu Netherlands
Gökhan Kılıç Türkiye
David Ayala–Cabrera
Citations per year, relative to David Ayala–Cabrera David Ayala–Cabrera (= 1×) peers Gökhan Kılıç

Countries citing papers authored by David Ayala–Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by David Ayala–Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Ayala–Cabrera. 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 David Ayala–Cabrera. The network helps show where David Ayala–Cabrera may publish in the future.

Co-authorship network of co-authors of David Ayala–Cabrera

This figure shows the co-authorship network connecting the top 25 collaborators of David Ayala–Cabrera. A scholar is included among the top collaborators of David Ayala–Cabrera 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 David Ayala–Cabrera. David Ayala–Cabrera 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.
Ayala–Cabrera, David, et al.. (2024). A Full and Simplified Water Distribution Network Model Comparison of Skeletonization Results. SHILAP Revista de lepidopterología. 72–72.
3.
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5.
Rasol, Mezgeen, Jorge C. Pais, Vega Pérez‐Gracia, et al.. (2022). GPR monitoring for road transport infrastructure: A systematic review and machine learning insights. Construction and Building Materials. 324. 126686–126686. 112 indexed citations breakdown →
6.
Ayala–Cabrera, David, et al.. (2022). Water distribution network disruptive events. Generation and exploration of an incident hub to increase the network preparedness. RiuNet (Politechnical University of Valencia).
7.
Ayala–Cabrera, David & Joaquín Izquierdo. (2021). GPR image interpretation advancement for smarter technical management of water leakage in urban water infrastructures. RiuNet (Politechnical University of Valencia). 27–27. 1 indexed citations
8.
Pérez-García, Rafael, et al.. (2017). Hybrid Optimization Proposal for the Design of Collective On-rotation Operating Irrigation Networks. Procedia Engineering. 186. 530–536. 6 indexed citations
9.
Ayala–Cabrera, David, et al.. (2016). Sectorization of Intermittent Water Supply Networks Based on Graph Theory and Clustering Techniques. ScholarsArchive (Brigham Young University). 1 indexed citations
10.
Ayala–Cabrera, David, et al.. (2014). 3D Model Construction of Water Supply System Pipes Based on GPR Images. ScholarsArchive (Brigham Young University). 1 indexed citations
11.
Campbell, Enrique, et al.. (2014). Water Supply Network Sectorization Based on Social Networks Community Detection Algorithms. Procedia Engineering. 89. 1208–1215. 21 indexed citations
12.
Campbell, Enrique, David Ayala–Cabrera, Joaquín Izquierdo, & Rafael Pérez‐García. (2014). Graph Clustering Based on Social Network Community Detection Algorithms. ScholarsArchive (Brigham Young University). 1 indexed citations
13.
Ayala–Cabrera, David, et al.. (2014). Water Leakage Evolution Based on GPR Interpretations. Procedia Engineering. 89. 304–310. 17 indexed citations
14.
Ayala–Cabrera, David, et al.. (2013). Analysis of gpr data through interpretation of pre-processed images obtained by a multi-agent approach to identify pipes in water supply systems. Cambridge University Engineering Department Publications Database. 1 indexed citations
15.
Ayala–Cabrera, David, et al.. (2013). GPR-Based Water Leak Models in Water Distribution Systems. Sensors. 13(12). 15912–15936. 48 indexed citations
16.
Ayala–Cabrera, David, et al.. (2013). Dynamic management of water supply systems: A tool to build scenarios by merging GPR surveys and augmented reality. 6. 3–8. 1 indexed citations
17.
Ayala–Cabrera, David. (2012). Caracterización de tuberías enterradas para redes de abastecimiento en servicio mediante el análisis de imágenes obtenidas con radar de subsuelo (Ground Penetrating Radar - GPR).
18.
Ayala–Cabrera, David, Joaquín Izquierdo, Idel Montalvo, & Rafael Pérez-García. (2011). Water supply system component evaluation from GPR radargrams using a multi-agent approach. Mathematical and Computer Modelling. 57(7-8). 1927–1932. 10 indexed citations
19.
Ayala–Cabrera, David, Manuel Herrera, Joaquín Izquierdo, & Rafael Pérez-García. (2011). Location of buried plastic pipes using multi-agent support based on GPR images. Journal of Applied Geophysics. 75(4). 679–686. 44 indexed citations
20.
Ayala–Cabrera, David, et al.. (1990). Basics of Electron Optics. CERN Document Server (European Organization for Nuclear Research). 3 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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