Borja Serván‐Camas

467 total citations
19 papers, 331 citations indexed

About

Borja Serván‐Camas is a scholar working on Computational Mechanics, Ocean Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Borja Serván‐Camas has authored 19 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 11 papers in Ocean Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Borja Serván‐Camas's work include Fluid Dynamics Simulations and Interactions (8 papers), Lattice Boltzmann Simulation Studies (7 papers) and Wave and Wind Energy Systems (7 papers). Borja Serván‐Camas is often cited by papers focused on Fluid Dynamics Simulations and Interactions (8 papers), Lattice Boltzmann Simulation Studies (7 papers) and Wave and Wind Energy Systems (7 papers). Borja Serván‐Camas collaborates with scholars based in Spain, United States and Puerto Rico. Borja Serván‐Camas's co-authors include Frank T.‐C. Tsai, Julio García Espinosa, Antonio Souto-Iglesias, Blas Zamora Parra, J. L. Cercos-Pita, Eugenio Oñate and D. Di Capua and has published in prestigious journals such as Water Resources Research, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Borja Serván‐Camas

17 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Borja Serván‐Camas Spain 9 253 105 84 38 37 19 331
Shahriar Mansoorzadeh Iran 11 312 1.2× 234 2.2× 31 0.4× 73 1.9× 10 0.3× 18 437
Christian F. Janßen Germany 12 413 1.6× 41 0.4× 146 1.7× 70 1.8× 16 0.4× 30 474
Mahmoud Ghiasi Iran 10 170 0.7× 269 2.6× 17 0.2× 48 1.3× 25 0.7× 29 315
Amir Eshghinejadfard Germany 10 376 1.5× 154 1.5× 126 1.5× 50 1.3× 8 0.2× 17 435
KH Kim South Korea 6 168 0.7× 198 1.9× 17 0.2× 54 1.4× 15 0.4× 14 365
Edoardo Pasta Italy 10 119 0.5× 285 2.7× 75 0.9× 104 2.7× 25 0.7× 39 330
Karl Merz Norway 10 104 0.4× 199 1.9× 94 1.1× 245 6.4× 26 0.7× 29 379
Sergej Antonello Sirigu Italy 15 211 0.8× 453 4.3× 79 0.9× 156 4.1× 46 1.2× 39 517
Anirban Bhattacharyya India 11 160 0.6× 189 1.8× 17 0.2× 113 3.0× 29 0.8× 43 348

Countries citing papers authored by Borja Serván‐Camas

Since Specialization
Citations

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

Fields of papers citing papers by Borja Serván‐Camas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Borja Serván‐Camas. 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 Borja Serván‐Camas. The network helps show where Borja Serván‐Camas may publish in the future.

Co-authorship network of co-authors of Borja Serván‐Camas

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

All Works

19 of 19 papers shown
1.
Serván‐Camas, Borja, et al.. (2025). Predicting seakeeping of conventional monohull vessels with forward speed using artificial neural networks. Journal of Ocean Engineering and Marine Energy. 11(3). 701–732.
2.
Espinosa, Julio García, et al.. (2025). Real-Time Digital Twin for Structural Health Monitoring of Floating Offshore Wind Turbines. Journal of Marine Science and Engineering. 13(10). 1953–1953.
3.
Serván‐Camas, Borja, et al.. (2025). Modal matrix reduction for fully coupled integrated load analysis of floating structures. Marine Structures. 103. 103845–103845. 1 indexed citations
4.
Espinosa, Julio García, et al.. (2023). High Fidelity Hydroelastic Analysis Using Modal Matrix Reduction. Journal of Marine Science and Engineering. 11(6). 1168–1168. 6 indexed citations
5.
Serván‐Camas, Borja, et al.. (2023). Numerical Framework for the Coupled Analysis of Floating Offshore Multi-Wind Turbines. Journal of Marine Science and Engineering. 12(1). 85–85. 6 indexed citations
6.
Serván‐Camas, Borja, et al.. (2021). Fully 3D ship hydroelasticity: Monolithic versus partitioned strategies for tight coupling. Marine Structures. 80. 103098–103098. 6 indexed citations
7.
Espinosa, Julio García, et al.. (2019). A second-order semi-Lagrangian particle finite element method for fluid flows. Computational Particle Mechanics. 7(1). 3–18. 1 indexed citations
8.
Espinosa, Julio García & Borja Serván‐Camas. (2018). A non-linear finite element method on unstructured meshes for added resistance in waves. Ships and Offshore Structures. 14(2). 153–164. 4 indexed citations
9.
Serván‐Camas, Borja, et al.. (2017). A time-domain second-order FEM model for the wave diffraction-radiation problem. Validation with a semisubmersible platform. Marine Structures. 58. 278–300. 16 indexed citations
10.
Serván‐Camas, Borja, et al.. (2016). Seakeeping with the semi-Lagrangian particle finite element method. Computational Particle Mechanics. 4(3). 321–329. 5 indexed citations
11.
Serván‐Camas, Borja, et al.. (2016). Time domain simulation of coupled sloshing–seakeeping problems by SPH–FEM coupling. Ocean Engineering. 123. 383–396. 47 indexed citations
12.
Espinosa, Julio García, et al.. (2016). Non-linear dynamic analysis of the response of moored floating structures. Marine Structures. 49. 116–137. 35 indexed citations
13.
Espinosa, Julio García, et al.. (2015). A FEM fluid–structure interaction algorithm for analysis of the seal dynamics of a Surface-Effect Ship. Computer Methods in Applied Mechanics and Engineering. 295. 290–304. 11 indexed citations
14.
Serván‐Camas, Borja & Julio García Espinosa. (2013). Accelerated 3D multi-body seakeeping simulations using unstructured finite elements. Journal of Computational Physics. 252. 382–403. 12 indexed citations
15.
Serván‐Camas, Borja & Frank T.‐C. Tsai. (2010). Two‐relaxation‐time lattice Boltzmann method for the anisotropic dispersive Henry problem. Water Resources Research. 46(2). 23 indexed citations
16.
Serván‐Camas, Borja & Frank T.‐C. Tsai. (2009). Saltwater intrusion modeling in heterogeneous confined aquifers using two-relaxation-time lattice Boltzmann method. Advances in Water Resources. 32(4). 620–631. 26 indexed citations
17.
Serván‐Camas, Borja & Frank T.‐C. Tsai. (2008). Non-negativity and stability analyses of lattice Boltzmann method for advection–diffusion equation. Journal of Computational Physics. 228(1). 236–256. 55 indexed citations
18.
Serván‐Camas, Borja & Frank T.‐C. Tsai. (2008). Lattice Boltzmann method with two relaxation times for advection–diffusion equation: Third order analysis and stability analysis. Advances in Water Resources. 31(8). 1113–1126. 76 indexed citations
19.
Serván‐Camas, Borja & Frank T.‐C. Tsai. (2006). Saltwater intrusion simulation in heterogeneous aquifer using lattice Boltzmann method. Civil War Book Review. 2006. 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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