Fernando Salazar

1.9k total citations · 1 hit paper
60 papers, 1.5k citations indexed

About

Fernando Salazar is a scholar working on Civil and Structural Engineering, Ecology and Water Science and Technology. According to data from OpenAlex, Fernando Salazar has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Civil and Structural Engineering, 12 papers in Ecology and 8 papers in Water Science and Technology. Recurrent topics in Fernando Salazar's work include Dam Engineering and Safety (34 papers), Hydraulic flow and structures (28 papers) and Hydrology and Sediment Transport Processes (12 papers). Fernando Salazar is often cited by papers focused on Dam Engineering and Safety (34 papers), Hydraulic flow and structures (28 papers) and Hydrology and Sediment Transport Processes (12 papers). Fernando Salazar collaborates with scholars based in Spain, United States and Portugal. Fernando Salazar's co-authors include Eugenio Oñate, Miguel Á. Toledo, Rafael Morán Moya, Benjamín Suárez, Miguel Ángel Celigueta, Mohammad Amin Hariri‐Ardebili, Sergio R. Idelsohn, Srinivasan Dasarathy, David Vicente and Antonia Larese and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Fernando Salazar

56 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations

2015 279 citations Fernando Salazar, Rafael Morán Moya et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fernando Salazar Spain	17	1.0k	343	226	194	146	60	1.5k
Pierre Léger Canada	28	1.9k 1.9×	95 0.3×	154 0.7×	193 1.0×	140 1.0×	115	2.2k
Christophe Gaudin Australia	33	3.7k 3.7×	54 0.2×	562 2.5×	357 1.8×	637 4.4×	190	4.3k
José Santos López Gutiérrez Spain	18	477 0.5×	187 0.5×	156 0.7×	107 0.6×	34 0.2×	70	1.5k
Rui Sun China	18	331 0.3×	128 0.4×	579 2.6×	89 0.5×	115 0.8×	55	1.2k
Enrico Tubaldi United Kingdom	33	2.6k 2.6×	299 0.9×	71 0.3×	61 0.3×	46 0.3×	114	2.9k
Tiago Fazeres-Ferradosa Portugal	19	414 0.4×	211 0.6×	84 0.4×	54 0.3×	34 0.2×	67	990
Ali Noorzad Iran	27	1.6k 1.6×	68 0.2×	104 0.5×	211 1.1×	415 2.8×	125	2.0k
Chongshi Gu China	27	2.2k 2.2×	652 1.9×	42 0.2×	466 2.4×	443 3.0×	141	2.5k
Jian Gong China	26	1.3k 1.3×	42 0.1×	585 2.6×	715 3.7×	133 0.9×	115	2.0k
Lars Bo Ibsen Denmark	26	1.8k 1.8×	62 0.2×	304 1.3×	104 0.5×	260 1.8×	154	2.2k

Countries citing papers authored by Fernando Salazar

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Salazar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Salazar

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

All Works

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20 of 20 papers shown

Salazar, Fernando, et al.. (2025). Detection of outliers in dam monitoring time series with autoencoders. Journal of Civil Structural Health Monitoring. 15(6). 1771–1792. 1 indexed citations

Miranda, Álvaro, et al.. (2025). Doped silicene for acetone molecule trapping and sensing: DFT calculations. Materials Letters. 404. 139643–139643.

Sanz‐Ramos, Marcos, et al.. (2024). Avances en Iber para la clasificación de balsas: proyecto ACROPOLIS. SHILAP Revista de lepidopterología. 28(1). 47–63. 1 indexed citations

Pascacio, Pavel, David Vicente, Ilaria Berruti, et al.. (2024). Toward the development of an ML-driven decision support system for wastewater treatment: A bacterial inactivation prediction approach in solar photochemical processes. Journal of Environmental Management. 373. 123537–123537. 1 indexed citations

Salazar, Fernando, et al.. (2023). Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction. Water. 15(11). 2020–2020. 11 indexed citations

Salazar, Fernando, et al.. (2023). A methodology for calibrating parameters in discrete element models based on machine learning surrogates. Computational Particle Mechanics. 10(5). 1031–1047. 18 indexed citations

Salazar, Fernando, et al.. (2023). SOLDIER: SOLution for Dam behavior Interpretation and safety Evaluation with boosted Regression trees. SoftwareX. 25. 101598–101598. 5 indexed citations

Vicente, David, et al.. (2023). Evaluation of different machine learning approaches for predicting high concentration episodes of ground-level ozone: A case study in Catalonia, Spain. Atmospheric Pollution Research. 15(3). 101999–101999. 8 indexed citations

Salazar, Fernando, et al.. (2020). A methodology for dam safety evaluation and anomaly detection based on boosted regression trees. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2 indexed citations

10.

Salazar, Fernando, et al.. (2020). Combination of advanced numerical methods and machine learning for dam safety assessment. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations

11.

Salazar, Fernando & Mohammad Amin Hariri‐Ardebili. (2020). Machine learning based seismic stability assessment of dams with heterogeneous concrete. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations

12.

Salazar, Fernando, et al.. (2019). Effect of the integration scheme on the rotation of non-spherical particles with the discrete element method. Computational Particle Mechanics. 6(4). 545–559. 15 indexed citations

13.

Salazar, Fernando, et al.. (2019). Shockwaves in spillways with the particle finite element method. Computational Particle Mechanics. 7(1). 87–99. 9 indexed citations

14.

Salazar, Fernando, et al.. (2018). Computer-aided design and analysis of arch dams. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations

15.

Salazar, Fernando, et al.. (2017). Aliviaderos con cajeros altamente convergentes. ¿Posible solución para la presa de Oroville?. UPM Digital Archive (Technical University of Madrid). 1 indexed citations

16.

Salazar, Fernando, Leticia León, Esther Toledano, et al.. (2017). Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach. Scientific Reports. 7(1). 10189–10189. 56 indexed citations

17.

Salazar, Fernando, et al.. (2016). Physical and numerical modeling of labyrinth weirs with polyhedral bottom. Ingeniería del agua. 3 indexed citations

18.

Salazar, Fernando, et al.. (2016). Air demand estimation in bottom outlets with the particle finite element method. Computational Particle Mechanics. 4(3). 345–356. 9 indexed citations

19.

Salazar, Fernando, et al.. (2013). Modelación física y numérica de aliviaderos con cajeros altamente convergentes. UPM Digital Archive (Technical University of Madrid). 2 indexed citations

20.

Salazar, Fernando. (2009). Desempleo y desigualdad: el caso colombiano. SHILAP Revista de lepidopterología. 1 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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