Luis D. Angulo

650 total citations
41 papers, 451 citations indexed

About

Luis D. Angulo is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Astronomy and Astrophysics. According to data from OpenAlex, Luis D. Angulo has authored 41 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 18 papers in Atomic and Molecular Physics, and Optics and 7 papers in Astronomy and Astrophysics. Recurrent topics in Luis D. Angulo's work include Electromagnetic Simulation and Numerical Methods (31 papers), Electromagnetic Scattering and Analysis (17 papers) and Microwave Engineering and Waveguides (8 papers). Luis D. Angulo is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (31 papers), Electromagnetic Scattering and Analysis (17 papers) and Microwave Engineering and Waveguides (8 papers). Luis D. Angulo collaborates with scholars based in Spain, United Kingdom and China. Luis D. Angulo's co-authors include Salvador G. García, Jesus Alvarez, A. Rubio Bretones, Mario F. Pantoja, R. Gómez Martín, Hai Lin, Clemente Cobos Sánchez, Fernando L. Teixeira, I. D. Flintoft and J.F. Dawson and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and IEEE Transactions on Power Electronics.

In The Last Decade

Luis D. Angulo

38 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis D. Angulo Spain 12 379 233 75 70 62 41 451
Jesus Alvarez Spain 12 380 1.0× 247 1.1× 78 1.0× 74 1.1× 88 1.4× 37 447
S. Yuferev United States 11 322 0.8× 174 0.7× 29 0.4× 36 0.5× 72 1.2× 41 394
Shunchuan Yang China 12 383 1.0× 249 1.1× 53 0.7× 48 0.7× 26 0.4× 51 431
Shinichiro Ohnuki Japan 11 309 0.8× 293 1.3× 74 1.0× 24 0.3× 74 1.2× 82 396
José Antonio Martín Pereda Spain 15 652 1.7× 408 1.8× 43 0.6× 95 1.4× 72 1.2× 63 730
D.J. Riley United States 11 414 1.1× 298 1.3× 34 0.5× 51 0.7× 103 1.7× 29 482
X. Ferrières France 10 331 0.9× 186 0.8× 88 1.2× 57 0.8× 23 0.4× 43 443
Gao Ben-qing China 7 277 0.7× 160 0.7× 90 1.2× 30 0.4× 75 1.2× 45 351
Ichiro Fukai Japan 14 778 2.1× 420 1.8× 100 1.3× 137 2.0× 159 2.6× 79 892
J.-F. Lee United States 5 405 1.1× 344 1.5× 24 0.3× 51 0.7× 23 0.4× 10 449

Countries citing papers authored by Luis D. Angulo

Since Specialization
Citations

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

Fields of papers citing papers by Luis D. Angulo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis D. Angulo. 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 Luis D. Angulo. The network helps show where Luis D. Angulo may publish in the future.

Co-authorship network of co-authors of Luis D. Angulo

This figure shows the co-authorship network connecting the top 25 collaborators of Luis D. Angulo. A scholar is included among the top collaborators of Luis D. Angulo 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 Luis D. Angulo. Luis D. Angulo 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.
Angulo, Luis D., et al.. (2024). A HIE S-FDTD Method to Account for Geometrical and Material Uncertainties in Lossy Thin Panels. IEEE Transactions on Antennas and Propagation. 72(12). 9329–9336.
2.
Schippers, H., et al.. (2024). Numerical Computation of In-cell Parameters for Multiwire Formalism in FDTD. Zenodo (CERN European Organization for Nuclear Research). 334–339.
3.
4.
Angulo, Luis D., et al.. (2020). Performance of parallel FDTD method for shared- and distributed-memory architectures: Application tobioelectromagnetics. PLoS ONE. 15(9). e0238115–e0238115. 2 indexed citations
5.
Angulo, Luis D., et al.. (2020). Numerical simulation of knotted solutions for Maxwell equations. Physical review. E. 101(6). 63305–63305. 2 indexed citations
6.
García, Salvador G., et al.. (2019). Application of Stochastic FDTD to Holland's Thin-Wire Method. IEEE Antennas and Wireless Propagation Letters. 18(10). 2046–2050. 6 indexed citations
7.
Angulo, Luis D., et al.. (2019). A New Conformal FDTD for Lossy Thin Panels. IEEE Transactions on Antennas and Propagation. 67(12). 7433–7439. 6 indexed citations
8.
Angulo, Luis D., et al.. (2019). Modeling and Measuring the Shielding Effectiveness of Carbon Fiber Composites. IEEE journal on multiscale and multiphysics computational techniques. 4. 207–213. 11 indexed citations
9.
Li, Ying, et al.. (2017). Multiresolution Time‐Domain Analysis of Multiconductor Transmission Lines Terminated in Linear Loads. Mathematical Problems in Engineering. 2017(1). 3 indexed citations
10.
Angulo, Luis D., Jesus Alvarez, I. D. Flintoft, et al.. (2017). A Hybrid Crank–Nicolson FDTD Subgridding Boundary Condition for Lossy Thin-Layer Modeling. IEEE Transactions on Microwave Theory and Techniques. 65(5). 1397–1406. 31 indexed citations
11.
Angulo, Luis D., et al.. (2017). A novel subgriding scheme for arbitrarily dispersive thin-layer modeling. 14. 266–268. 2 indexed citations
12.
Angulo, Luis D., et al.. (2016). A New Efficient and Stable 3D Conformal FDTD. IEEE Microwave and Wireless Components Letters. 26(8). 553–555. 19 indexed citations
13.
Alvarez, Jesus, et al.. (2015). Efficient Antenna Modeling by DGTD: Leap-frog discontinuous Galerkin timedomain method. IEEE Antennas and Propagation Magazine. 57(3). 95–106. 9 indexed citations
14.
Alvarez, Jesus, Luis D. Angulo, A. Rubio Bretones, & Salvador G. García. (2014). Estimation of HIRF transfer functions by a leap-frog discontinuous Galerkin method. 234–239. 1 indexed citations
15.
Angulo, Luis D., Jesus Alvarez, Mario F. Pantoja, & Salvador G. García. (2014). An Explicit Nodal Space-Time Discontinuous Galerkin Method for Maxwell's Equations. IEEE Microwave and Wireless Components Letters. 24(12). 827–829. 2 indexed citations
16.
Alvarez, Jesus, et al.. (2013). A Leap-Frog Discontinuous Galerkin Time-Domain Method for HIRF Assessment. IEEE Transactions on Electromagnetic Compatibility. 55(6). 1250–1259. 12 indexed citations
17.
Angulo, Luis D., Jesus Alvarez, Fernando L. Teixeira, Mario F. Pantoja, & Salvador G. García. (2013). Causal-Path Local Time-Stepping in the discontinuous Galerkin method for Maxwellʼs equations. Journal of Computational Physics. 256. 678–695. 13 indexed citations
18.
Alvarez, Jesus, Luis D. Angulo, M. Bandinelli, et al.. (2012). HIRF interaction with metallic aircrafts. A comparison between TD and FD methods. 31. 1–6. 5 indexed citations
19.
Alvarez, Jesus, Luis D. Angulo, A. Rubio Bretones, & Salvador G. García. (2012). A Spurious-Free Discontinuous Galerkin Time-Domain Method for the Accurate Modeling of Microwave Filters. IEEE Transactions on Microwave Theory and Techniques. 60(8). 2359–2369. 46 indexed citations
20.
Angulo, Luis D., Jesus Alvarez, Salvador G. García, A. Rubio Bretones, & R. Gómez Martín. (2011). Discontinuous Galerkin time‐domain method for GPR simulation of conducting objects. Near Surface Geophysics. 9(3). 257–264. 5 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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