M.F. Cátedra

2.8k total citations
181 papers, 2.1k citations indexed

About

M.F. Cátedra is a scholar working on Atomic and Molecular Physics, and Optics, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M.F. Cátedra has authored 181 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Atomic and Molecular Physics, and Optics, 117 papers in Aerospace Engineering and 112 papers in Electrical and Electronic Engineering. Recurrent topics in M.F. Cátedra's work include Electromagnetic Scattering and Analysis (118 papers), Advanced Antenna and Metasurface Technologies (92 papers) and Electromagnetic Simulation and Numerical Methods (64 papers). M.F. Cátedra is often cited by papers focused on Electromagnetic Scattering and Analysis (118 papers), Advanced Antenna and Metasurface Technologies (92 papers) and Electromagnetic Simulation and Numerical Methods (64 papers). M.F. Cátedra collaborates with scholars based in Spain, United States and Netherlands. M.F. Cátedra's co-authors include J. Pérez, Carlos Delgado, Iván González, F. Saéz de Adana, O. Gutiérrez, Eliseo García, Luís Nuño Fernández, R. Mittra, F. Rivas and Rafael P. Torres and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Computational Physics.

In The Last Decade

M.F. Cátedra

167 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.F. Cátedra Spain 23 1.4k 1.1k 1.1k 152 127 181 2.1k
Juan M. Rius Spain 22 1.4k 1.0× 1.3k 1.1× 623 0.6× 304 2.0× 22 0.2× 177 2.0k
E.K. Miller United States 21 1.5k 1.1× 922 0.8× 568 0.5× 194 1.3× 41 0.3× 121 2.0k
Giuseppe Pelosi Italy 23 1.6k 1.1× 938 0.8× 1.0k 0.9× 191 1.3× 44 0.3× 296 2.2k
David Davidson South Africa 19 1.0k 0.7× 571 0.5× 773 0.7× 88 0.6× 22 0.2× 174 1.5k
Prabhakar H. Pathak United States 31 3.4k 2.4× 2.7k 2.4× 2.6k 2.5× 494 3.3× 68 0.5× 167 4.6k
Da‐Gang Fang China 30 3.0k 2.1× 888 0.8× 3.0k 2.8× 305 2.0× 141 1.1× 206 4.1k
R. G. Kouyoumjian United States 16 2.2k 1.5× 1.5k 1.3× 1.8k 1.7× 344 2.3× 60 0.5× 56 3.0k
E.H. Newman United States 22 1.2k 0.9× 985 0.9× 1.1k 1.1× 238 1.6× 35 0.3× 84 1.8k
Branko M. Kolundžija Serbia 14 896 0.6× 682 0.6× 637 0.6× 91 0.6× 18 0.1× 166 1.2k
Sadasiva M. Rao United States 24 2.1k 1.5× 2.0k 1.7× 815 0.8× 343 2.3× 23 0.2× 100 2.6k

Countries citing papers authored by M.F. Cátedra

Since Specialization
Citations

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

Fields of papers citing papers by M.F. Cátedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.F. Cátedra. 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 M.F. Cátedra. The network helps show where M.F. Cátedra may publish in the future.

Co-authorship network of co-authors of M.F. Cátedra

This figure shows the co-authorship network connecting the top 25 collaborators of M.F. Cátedra. A scholar is included among the top collaborators of M.F. Cátedra 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 M.F. Cátedra. M.F. Cátedra 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.
García, Eliseo, Carlos Delgado, & M.F. Cátedra. (2024). Flexible Approach for the Generation of Macro-Basis Functions Using the Characteristic Basis Function Method. Electronics. 13(3). 657–657. 1 indexed citations
2.
García, Eliseo, Carlos Delgado, & M.F. Cátedra. (2024). A Computationally Efficient Technique Using Characteristic Basis Functions and Large Block Sizes. IEEE Antennas and Wireless Propagation Letters. 23(4). 1341–1345. 1 indexed citations
3.
Jakobus, Ulrich, et al.. (2021). New Features in Altair Feko 2021. 2 indexed citations
4.
Florencio, Rafael, et al.. (2020). Comparison between Specialized Quadrature Rules for Method of Moments with NURBS Modelling Applied to Periodic Multilayer Structures. Electronics. 9(12). 2043–2043. 1 indexed citations
5.
Delgado, Carlos, et al.. (2013). New modules and features introduced in NEWFASANT. European Conference on Antennas and Propagation. 3418–3422. 1 indexed citations
6.
González, Iván, et al.. (2013). Conversion of open objects to volumes to be analyzed with MoM-CFIE. European Conference on Antennas and Propagation. 819–822. 1 indexed citations
7.
González, Iván, et al.. (2011). A new mesh generator optimized for electromagnetic analysis. European Conference on Antennas and Propagation. 1734–1738. 4 indexed citations
8.
Tayebi, Abdelhamid, Josefa Gómez, Iván González, & M.F. Cátedra. (2011). Boolean operations implementation over 3D parametric surfaces to be included in the geometrical module of an electromagnetic solver. European Conference on Antennas and Propagation. 2137–2141. 2 indexed citations
9.
Delgado, Carlos, Eliseo García, & M.F. Cátedra. (2011). Application of a hybrid domain decomposition approach for the analysis of large reflector antennas. European Conference on Antennas and Propagation. 846–848. 3 indexed citations
10.
Cátedra, M.F., et al.. (2010). Condrosarcoma mixoide extraóseo: Caracterización por resonancia magnética. Acta Médica Grupo Ángeles. 8(4). 208–212.
11.
Delgado, Carlos, Eliseo García, Iván González, & M.F. Cátedra. (2010). Combination of MLFMA and an iterative method to compute large scattering or radiation problems. European Conference on Antennas and Propagation. 1–4. 2 indexed citations
12.
González, Iván, et al.. (2010). Analysis of the scattering field of wind turbine using rigorous and asymptotic techniques. European Conference on Antennas and Propagation. 1–4. 5 indexed citations
13.
González, Iván, et al.. (2009). FASANT: A Versatile tool to analyze antennas and propagation in complex environments. European Conference on Antennas and Propagation. 2088–2092. 1 indexed citations
14.
González, Iván, Abdelhamid Tayebi, Josefa Gómez, & M.F. Cátedra. (2009). MONURBS, a parallelized moment method code that combines FMLMP, CBF and MPI. European Conference on Antennas and Propagation. 152–156. 2 indexed citations
16.
Cátedra, M.F., et al.. (2005). Input impedance of an off-axis monopole on a circular disk. 23. 265–268. 2 indexed citations
17.
Adana, F. Saéz de, Iván González, O. Gutiérrez, & M.F. Cátedra. (2003). Asymptotic method for analysis of RCS of arbitrary targets composed by dielectric and/or magnetic materials. IEE Proceedings - Radar Sonar and Navigation. 150(5). 375–378. 7 indexed citations
18.
Conde, Olga M., J. Pérez, & M.F. Cátedra. (2001). Stationary phase method application for the analysis of radiation of complex 3-D conducting structures. IEEE Transactions on Antennas and Propagation. 49(5). 724–731. 58 indexed citations
19.
Cátedra, M.F.. (1995). The CG-FFT method : application of signal processing techniques to electromagnetics. 100 indexed citations
20.
Cátedra, M.F., et al.. (1986). Dual-band antenna for telemetry, tracking and control (TTC) of satellites at Ku-band. Electronics Letters. 22(25). 1331–1332. 2 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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