Rafael Morán Moya

770 citations
36 papers · 625 indexed · 1 hit paper · h-index 8

Rafael Morán Moya

33 papers receiving 604 citations

Hit Papers

Data-Based Models for the Prediction of Dam Behaviour: A ...279201520262018202250100150200250

Peers

Rafael Morán Moya
Comparison fields: 5 of 59
  • Civil and Structural Engineering 568
  • Ecology 255
  • Safety, Risk, Reliability and Quality 83
  • Management, Monitoring, Policy and Law 99
  • Environmental Engineering 50
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Citations per year

Countries citing papers authored by Rafael Morán Moya

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Morán Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Morán Moya. 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 Rafael Morán Moya. The network helps show where Rafael Morán Moya may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Rafael Morán Moya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rafael Morán Moya Line = papers co-authored together Rafael Morán Moya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20229
3 20223
4 20214
5 20213
6 20212
7
Aliviaderos con cajeros altamente convergentes. ¿Posible solución para la presa de Oroville?
20171
8 20171
9 20162
10
Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerationsbreakdown →
2015279
11 2015178
12 20142
13 20144
14
Modelación física y numérica de aliviaderos con cajeros altamente convergentes
20132
15 20124
16 201210
17
Simulation of the behavior of prototypes of rockfill dams during overtopping scenarios. Seepage evolution and beginning of failure
20110
18
Research into protection of rockfill dams from overtopping using rockfill downstream toes
201119
19
La concepción de la simetría en estudiantes como un obstáculo epistemológico para el aprendizaje de la geometría
20093
20
[Pulmonary transplantation. Experimental study].
19700

About Rafael Morán Moya

Rafael Morán Moya is a scholar working on Civil and Structural Engineering, Neuropsychology and Physiological Psychology and Ecology, having authored 36 papers that have together received 625 indexed citations. Recurring topics across this work include Dam Engineering and Safety (25 papers), Hydraulic flow and structures (19 papers), Hydrology and Sediment Transport Processes (11 papers), Water Systems and Optimization (5 papers), Landslides and related hazards (5 papers), Soil and Unsaturated Flow (3 papers), Groundwater flow and contamination studies (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). The work is most often cited by research in Civil and Structural Engineering (568 citations), Ecology (255 citations) and Safety, Risk, Reliability and Quality (83 citations). Rafael Morán Moya has collaborated with scholars based in Spain, Portugal and France. Frequent co-authors include Miguel Á. Toledo, Eugenio Oñate, Fernando Salazar, Riccardo Rossi, Antonia Larese, S. L. Cardoso, José Nilson França de Holanda, José Jaime García, L. González and Jacques Ohayon. Their work appears in journals such as SHILAP Revista de lepidopterología, Engineering Structures and Applied Sciences.

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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