María Nogal

95 papers and 1.4k indexed citations i.

About

María Nogal is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Building and Construction. According to data from OpenAlex, María Nogal has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Civil and Structural Engineering, 31 papers in Statistics, Probability and Uncertainty and 15 papers in Building and Construction. Recurrent topics in María Nogal’s work include Structural Health Monitoring Techniques (22 papers), Probabilistic and Robust Engineering Design (22 papers) and Infrastructure Resilience and Vulnerability Analysis (16 papers). María Nogal is often cited by papers focused on Structural Health Monitoring Techniques (22 papers), Probabilistic and Robust Engineering Design (22 papers) and Infrastructure Resilience and Vulnerability Analysis (16 papers). María Nogal collaborates with scholars based in The Netherlands, Ireland and Spain. María Nogal's co-authors include Alan O’Connor, Rui Teixeira, Enrique Castillo, José Turmo, Brian Caulfield, José Antonio Lozano Galant, Pilar Jiménez, Dániel Honfí, Santos Sánchez‐Cambronero and Ángel A. Juan and has published in prestigious journals such as Sensors, Journal of Sound and Vibration and Géotechnique.

In The Last Decade

Co-authorship network of co-authors of María Nogal i

Fields of papers citing papers by María Nogal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Nogal

Since Specialization
Citations

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

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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2025