F. Rivas

2.2k total citations
12 papers, 188 citations indexed

About

F. Rivas is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Political Science and International Relations. According to data from OpenAlex, F. Rivas has authored 12 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 4 papers in Electrical and Electronic Engineering and 2 papers in Political Science and International Relations. Recurrent topics in F. Rivas's work include Electromagnetic Scattering and Analysis (4 papers), Speech and Audio Processing (2 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). F. Rivas is often cited by papers focused on Electromagnetic Scattering and Analysis (4 papers), Speech and Audio Processing (2 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). F. Rivas collaborates with scholars based in Spain, Honduras and Greece. F. Rivas's co-authors include M.F. Cátedra, L. Valle, M. Domingo, J. Pérez, Rafael P. Torres, José Escolano, Carlos Delgado, O. Gutiérrez, F. Saéz de Adana and Iván González and has published in prestigious journals such as IEEE Transactions on Antennas and Propagation, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

F. Rivas

10 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Rivas Spain 5 109 98 79 28 25 12 188
Frank Weinmann Germany 9 162 1.5× 261 2.7× 248 3.1× 8 0.3× 8 0.3× 38 400
Twan Korthorst United States 6 94 0.9× 205 2.1× 44 0.6× 27 1.0× 22 0.9× 12 322
Rafael González Ayestarán Spain 14 35 0.3× 313 3.2× 324 4.1× 17 0.6× 37 1.5× 45 443
Fei Yan China 10 51 0.5× 234 2.4× 266 3.4× 16 0.6× 19 0.8× 31 359
Barthélémy Heyrman France 8 24 0.2× 119 1.2× 64 0.8× 9 0.3× 10 0.4× 19 259
David Poyatos Martínez Spain 7 28 0.3× 84 0.9× 66 0.8× 5 0.2× 9 0.4× 37 151
L.Q. Bui United States 10 44 0.4× 324 3.3× 210 2.7× 9 0.3× 12 0.5× 30 393
Ramesh K. Gupta Australia 11 68 0.6× 203 2.1× 69 0.9× 41 1.5× 3 0.1× 60 341
David Carsenat France 11 41 0.4× 219 2.2× 206 2.6× 16 0.6× 20 0.8× 28 377
Huotao Gao China 11 24 0.2× 103 1.1× 266 3.4× 15 0.5× 48 1.9× 56 351

Countries citing papers authored by F. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by F. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Rivas

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

All Works

12 of 12 papers shown
1.
Mateos, I, et al.. (2024). Magnetic Field Simulation and Correlated Low-Frequency Noise Subtraction for an In-Orbit Demonstrator of Magnetic Measurements. IEEE Transactions on Instrumentation and Measurement. 73. 1–11.
2.
Rivas, F., et al.. (2018). Binaural lateral localization of multiple sources in real environments using a kurtosis-driven split-EM algorithm. Engineering Applications of Artificial Intelligence. 69. 137–146. 4 indexed citations
3.
Rivas, F., et al.. (2012). Evaluation of generalized cross-correlation methods for direction of arrival estimation using two microphones in real environments. Applied Acoustics. 73(8). 698–712. 31 indexed citations
4.
Rivas, F., et al.. (2010). Initiatives in the Rational Use of Energy in Honduras. IEEE Latin America Transactions. 8(5). 533–541. 3 indexed citations
5.
Robles, Gregório, et al.. (2009). Measuring Lenny: the size of Debian 5.0 ¤. 3 indexed citations
6.
Rivas, F.. (2007). Vocational behavior and counseling in today's world?. Electronic Journal of Research in Educational Psychology. 5(1). 5–14. 1 indexed citations
7.
Rivas, F.. (2006). Efectos del concurso de acreedores sobre el derecho de alimentos. 79–110.
8.
Cátedra, M.F., et al.. (2006). Application of Matrix Pencil to Obtain the Current Modes on Electrically Large Bodies. IEEE Transactions on Antennas and Propagation. 54(8). 2429–2436. 4 indexed citations
9.
Rivas, F., et al.. (2005). Tecnología informática en asesoramiento vocacional. Psicothema. 17(3). 382–389. 6 indexed citations
10.
Gutiérrez, O., F. Saéz de Adana, F. Rivas, Iván González, & M.F. Cátedra. (2003). Method to interpolate induced current with low amount of sample points by means of Bezier surfaces. Electronics Letters. 39(2). 177–178. 7 indexed citations
11.
Domingo, M., F. Rivas, J. Pérez, Rafael P. Torres, & M.F. Cátedra. (1995). Computation of the RCS of complex bodies modeled using NURBS surfaces. IEEE Antennas and Propagation Magazine. 37(6). 36–47. 61 indexed citations
12.
Valle, L., F. Rivas, & M.F. Cátedra. (1994). Combining the moment method with geometrical modelling by NURBS surfaces and Bezier patches. IEEE Transactions on Antennas and Propagation. 42(3). 373–381. 68 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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