Alejandro Rivas

1.7k total citations
78 papers, 1.3k citations indexed

About

Alejandro Rivas is a scholar working on Computational Mechanics, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Alejandro Rivas has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 14 papers in Mechanical Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Alejandro Rivas's work include Fluid Dynamics and Heat Transfer (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Alejandro Rivas is often cited by papers focused on Fluid Dynamics and Heat Transfer (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Alejandro Rivas collaborates with scholars based in Spain, United States and Chile. Alejandro Rivas's co-authors include Juan Carlos Ramos, Raúl Antón, Jon Gastelurrutia, Gorka S. Larraona, Howard W. Francis, E. Ayesa, I. Irizar, Nerea Nieto, José Ignacio Bilbao and F. Blanco and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Journal of Power Sources.

In The Last Decade

Alejandro Rivas

71 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Rivas Spain 22 405 241 225 207 145 78 1.3k
Yiming Deng United States 26 545 1.3× 129 0.5× 77 0.3× 967 4.7× 49 0.3× 158 2.2k
Pengfei Wang China 21 192 0.5× 87 0.4× 295 1.3× 695 3.4× 367 2.5× 111 1.6k
Xinshu Zhang China 23 406 1.0× 191 0.8× 456 2.0× 144 0.7× 217 1.5× 104 1.9k
Jianghui Dong China 24 139 0.3× 21 0.1× 88 0.4× 301 1.5× 288 2.0× 101 1.7k
Fan Liu China 20 285 0.7× 74 0.3× 40 0.2× 330 1.6× 54 0.4× 86 1.7k
Stefano Laureti Italy 30 172 0.4× 160 0.7× 46 0.2× 509 2.5× 38 0.3× 111 2.8k
Yu Du China 17 90 0.2× 68 0.3× 42 0.2× 309 1.5× 67 0.5× 63 1.1k
Kyoungsoo Park South Korea 27 123 0.3× 38 0.2× 348 1.5× 425 2.1× 355 2.4× 94 3.0k
Bin Ye China 29 110 0.3× 42 0.2× 85 0.4× 365 1.8× 197 1.4× 153 2.7k

Countries citing papers authored by Alejandro Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Rivas. A scholar is included among the top collaborators of Alejandro Rivas 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 Alejandro Rivas. Alejandro Rivas 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.
Antón, Raúl, Juan Carlos Ramos, Alejandro Rivas, et al.. (2025). Numerical assessment of the performance of a new multi side-hole catheter design in liver radioembolization. Computers in Biology and Medicine. 187. 109786–109786.
2.
3.
Rivas, Alejandro, et al.. (2024). An elastohydrodynamic model of the slot-die coating process. Journal of Computational Design and Engineering. 11(6). 213–231.
4.
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Gastelurrutia, Jon, et al.. (2016). Modeling based on design of thermal management systems for vertical elevation applications powered by lithium-ion batteries. Applied Thermal Engineering. 102. 1081–1094. 17 indexed citations
6.
Antón, Raúl, et al.. (2016). Computational assessment of the effects of the catheter type on particle–hemodynamics during liver radioembolization. Journal of Biomechanics. 49(15). 3705–3713. 19 indexed citations
7.
Sweeney, Alex D., et al.. (2015). Hyperostotic En Plaque Meningioma Mimicking Fibrous Dysplasia of the Temporal Bone. Otology & Neurotology. 37(9). e317–e318. 7 indexed citations
8.
Antón, Raúl, et al.. (2015). Physiological outflow boundary conditions methodology for small arteries with multiple outlets: A patient-specific hepatic artery haemodynamics case study. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 229(4). 291–306. 13 indexed citations
9.
Murgia, Xabier, Adolf Valls‐i‐Soler, Alejandro Rivas, et al.. (2014). In Vitro Surfactant and Perfluorocarbon Aerosol Deposition in a Neonatal Physical Model of the Upper Conducting Airways. PLoS ONE. 9(9). e106835–e106835. 9 indexed citations
10.
Martinez-Iturralde, M., et al.. (2013). Algebraic Model for Predicting the Hydraulic Behaviour of an Open Self-Ventilated Electrical Machine. International Review on Modelling and Simulations (IREMOS). 6(5). 1446–1451. 4 indexed citations
11.
Larraona, Gorka S., Alejandro Rivas, Raúl Antón, et al.. (2013). Computational parametric study of an impinging jet in a cross-flow configuration for electronics cooling applications. Applied Thermal Engineering. 52(2). 428–438. 27 indexed citations
12.
Jacobsen, Finn, et al.. (2013). Practical Computational Aeroacoustics for Complex Confined Scattering Geometries in Low Mach Number Flows. Acta acustica united with Acustica. 99(1). 130–138. 1 indexed citations
13.
Martín-Gómez, César, et al.. (2013). Modelación de un sistema de climatización basado en células termoeléctricas mediante Trnsys. Dialnet (Universidad de la Rioja). 485–492. 1 indexed citations
14.
Muniak, Michael A., et al.. (2012). 3D model of frequency representation in the cochlear nucleus of the CBA/J mouse. The Journal of Comparative Neurology. 521(7). 1510–1532. 47 indexed citations
15.
Antón, Raúl, Jon Gastelurrutia, Juan Carlos Ramos, Alejandro Rivas, & Gorka S. Larraona. (2011). Learning through a multiple approach competing practical exercise MACPE: a case study with a teacher's and a student's assessment. International journal of engineering education. 27(4). 805–812. 3 indexed citations
16.
McRackan, Theodore R., George B. Wanna, Alejandro Rivas, et al.. (2011). Evaluation of Second Look Procedures for Pediatric Cholesteatomas. Otolaryngology. 145(1). 154–160. 31 indexed citations
17.
Antón, Raúl, Hans Jonsson, Juan Carlos Ramos, T. Gómez-Acebo, & Alejandro Rivas. (2009). Refrigerating Cycle Simulator : System Modelling, Educational Implementation and Assessment. International journal of engineering education. 25(2). 324–332. 7 indexed citations
18.
Rivas, Alejandro, et al.. (2009). Characterization of fan spray atomizers through numerical simulation. International Journal of Heat and Fluid Flow. 30(2). 339–355. 20 indexed citations
19.
Francis, Howard W., Alejandro Rivas, Mohamed Lehar, & David K. Ryugo. (2004). Two types of afferent terminals innervate cochlear inner hair cells in C57BL/6J mice. Brain Research. 1016(2). 182–194. 30 indexed citations
20.
Ramos, Juan Carlos, et al.. (2004). Development of a thermal model for automotive twin-tube shock absorbers. Applied Thermal Engineering. 25(11-12). 1836–1853. 40 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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