María Nogal
- Civil and Structural Engineering top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Transportation top 2%
- Building and Construction top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Alan O’ConnorRui TeixeiraEnrique CastilloBrian CaulfieldBeatriz Martínez‐PastorJosé TurmoJosé Antonio Lozano-GalantPilar Jiménez
- Topics
- Structural Health Monitoring Techniques (24 papers)Probabilistic and Robust Engineering Design (24 papers)Infrastructure Resilience and Vulnerability Analysis (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsJournal of Sound and Vibration
- Partner nations
- NetherlandsIrelandSpain
In The Last Decade
María Nogal
99 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Civil and Structural Engineering 856
- Statistics, Probability and Uncertainty 440
- Transportation 284
- Building and Construction 274
- Control and Systems Engineering 191
Countries citing papers authored by María Nogal
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).
Fields of papers citing papers by María Nogal
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.
Co-authorship network of co-authors of María Nogal
This figure shows the co-authorship network connecting the top 25 collaborators of María Nogal. A scholar is included among the top collaborators of María Nogal 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 María Nogal. María Nogal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 49 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | Effectiveness of Small Scale Bike Sharing Systems According to the Analysis of Turnover Station Ratios | 1 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | A Sensitivity Analysis of a Dynamic Restricted Equilibrium Model to Evaluate the Traffic Network Resilience | 3 |
About María Nogal
María Nogal is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Transportation, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (24 papers), Probabilistic and Robust Engineering Design (24 papers) and Infrastructure Resilience and Vulnerability Analysis (21 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (440 citations), Transportation (284 citations) and Civil and Structural Engineering (856 citations). María Nogal has collaborated with scholars based in Netherlands, Ireland and Spain. Frequent co-authors include Alan O’Connor, Rui Teixeira, Enrique Castillo, Brian Caulfield, Beatriz Martínez‐Pastor, José Turmo, José Antonio Lozano-Galant, Pilar Jiménez, Dániel Honfí and Ángel A. Juan. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Sound and Vibration.
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.