Fernando Cruz–Roldán

1.6k total citations
89 papers, 1.2k citations indexed

About

Fernando Cruz–Roldán is a scholar working on Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fernando Cruz–Roldán has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Signal Processing, 46 papers in Electrical and Electronic Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fernando Cruz–Roldán's work include Digital Filter Design and Implementation (39 papers), PAPR reduction in OFDM (36 papers) and ECG Monitoring and Analysis (18 papers). Fernando Cruz–Roldán is often cited by papers focused on Digital Filter Design and Implementation (39 papers), PAPR reduction in OFDM (36 papers) and ECG Monitoring and Analysis (18 papers). Fernando Cruz–Roldán collaborates with scholars based in Spain, Brazil and United States. Fernando Cruz–Roldán's co-authors include Manuel Blanco–Velasco, Juan Ignacio Godino-Llorente, Kenneth E. Barner, F. López-Ferreras, Mariano Nieto Antolín, T. Saramäki, Víctor Osma-Ruiz, Nicolás Sáenz-Lechón, Saturnino Maldonado-Bascón and S.S. Lawson and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Fernando Cruz–Roldán

87 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Cruz–Roldán Spain 18 505 408 363 244 243 89 1.2k
Harishchandra Dubey United States 17 254 0.5× 110 0.3× 44 0.1× 96 0.4× 129 0.5× 43 851
Changseok Bae South Korea 14 75 0.1× 134 0.3× 62 0.2× 226 0.9× 335 1.4× 80 876
Željko Žilić Canada 20 93 0.2× 607 1.5× 84 0.2× 422 1.7× 215 0.9× 171 1.7k
Weixi Gu China 15 175 0.3× 307 0.8× 26 0.1× 105 0.4× 192 0.8× 33 714
Sung Bum Pan South Korea 15 267 0.5× 78 0.2× 244 0.7× 222 0.9× 304 1.3× 94 875
Rajarshi Gupta India 19 156 0.3× 142 0.3× 667 1.8× 582 2.4× 84 0.3× 83 1.2k
Gernot Kubin Austria 17 442 0.9× 255 0.6× 7 0.0× 123 0.5× 251 1.0× 134 945
Shu‐Di Bao China 14 203 0.4× 112 0.3× 157 0.4× 795 3.3× 199 0.8× 48 1.2k
Dorothy Curtis United States 14 260 0.5× 527 1.3× 56 0.2× 109 0.4× 138 0.6× 29 918
Ashok Ghatol India 16 94 0.2× 99 0.2× 247 0.7× 103 0.4× 138 0.6× 73 884

Countries citing papers authored by Fernando Cruz–Roldán

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Cruz–Roldán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Cruz–Roldán. 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 Fernando Cruz–Roldán. The network helps show where Fernando Cruz–Roldán may publish in the future.

Co-authorship network of co-authors of Fernando Cruz–Roldán

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Cruz–Roldán. A scholar is included among the top collaborators of Fernando Cruz–Roldán 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 Fernando Cruz–Roldán. Fernando Cruz–Roldán 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.
Cruz–Roldán, Fernando, et al.. (2024). SINR Analysis of Windowed OFDM in Power Line Communication Systems. IEEE Open Journal of Signal Processing. 5. 1052–1060. 1 indexed citations
2.
Goya–Esteban, Rebeca, et al.. (2024). Machine learning based detection of T–wave alternans in real ambulatory conditions. Computer Methods and Programs in Biomedicine. 249. 108157–108157. 3 indexed citations
3.
Goya–Esteban, Rebeca, et al.. (2023). Machine Learning approach for TWA detection relying on ensemble data design. Heliyon. 9(1). e12947–e12947. 3 indexed citations
4.
Goya–Esteban, Rebeca, et al.. (2023). Analysis of the Window Size Effect for T-Wave Alternans Detection through Machine Learning Methods. Computing in cardiology. 1 indexed citations
5.
Lovisolo, Lisandro, Fernando Cruz–Roldán, & Manuel Blanco–Velasco. (2022). On Power Line Positioning Systems. Sensors. 22(20). 7827–7827. 1 indexed citations
6.
Luengo, David, et al.. (2021). A Novel Scheme of Multicarrier Modulation With the Discrete Cosine Transform. IEEE Transactions on Wireless Communications. 20(12). 7992–8005. 4 indexed citations
7.
Martins, Wallace A., Fernando Cruz–Roldán, Marc Moonen, & Paulo S. R. Diniz. (2020). Intersymbol and intercarrier interferences in OFDM transmissions through highly dispersive channels. Lirias (KU Leuven). 12 indexed citations
8.
Hernández, Álvaro, et al.. (2018). FPGA-Based Architecture for Medium Access Techniques in Broadband PLC. IEEE Access. 6. 9534–9542. 9 indexed citations
9.
Cruz–Roldán, Fernando, et al.. (2018). Simple Algorithms for Estimating the Symbol Timing Offset in DCT‐Based Multicarrier Systems. Wireless Communications and Mobile Computing. 2018(1). 2 indexed citations
10.
11.
Cruz–Roldán, Fernando, et al.. (2016). A Wavelet OFDM receiver for baseband power line communications. Journal of the Franklin Institute. 353(7). 1654–1671. 16 indexed citations
12.
Cruz–Roldán, Fernando, et al.. (2016). DCT-based channel estimation for single- and multicarrier communications. Signal Processing. 128. 332–339. 15 indexed citations
13.
Cruz–Roldán, Fernando, et al.. (2011). DCT Type-III for multicarrier modulation. UPM Digital Archive (Technical University of Madrid). 1593–1597. 1 indexed citations
14.
Godino-Llorente, Juan Ignacio, Pedro Gómez‐Vilda, Fernando Cruz–Roldán, Manuel Blanco–Velasco, & Rubén Fraile. (2010). Pathological Likelihood Index as a Measurement of the Degree of Voice Normality and Perceived Hoarseness. Journal of Voice. 24(6). 667–677. 28 indexed citations
15.
Blanco–Velasco, Manuel, Fernando Cruz–Roldán, Juan Ignacio Godino-Llorente, & Kenneth E. Barner. (2007). Wavelet Packets Feasibility Study for the Design of an ECG Compressor. IEEE Transactions on Biomedical Engineering. 54(4). 766–769. 42 indexed citations
16.
Cruz–Roldán, Fernando, et al.. (2007). Evolutionary Programming Techniques for Designing M-Channel Cosine Modulated Filter Banks. 3. 1–6. 3 indexed citations
17.
Cruz–Roldán, Fernando, et al.. (2006). A fast windowing technique for designing discrete wavelet multitone transceivers exploiting spline functions. European Signal Processing Conference. 1–5. 1 indexed citations
18.
Sáenz-Lechón, Nicolás, Juan Ignacio Godino-Llorente, Víctor Osma-Ruiz, Manuel Blanco–Velasco, & Fernando Cruz–Roldán. (2006). Automatic Assessment of Voice Quality According to the GRBAS Scale. PubMed. 2006. 2478–2481. 41 indexed citations
19.
Blanco–Velasco, Manuel, Fernando Cruz–Roldán, Juan Ignacio Godino-Llorente, & Kenneth E. Barner. (2004). ECG compression with retrieved quality guaranteed. Electronics Letters. 40(23). 1466–1467. 79 indexed citations
20.
Cruz–Roldán, Fernando, et al.. (1999). Filter banks with in band controlled aliasing applied to decomposition/reconstruction of ECG signals.. 798–802. 3 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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