F.J. González-Serrano

457 total citations
30 papers, 314 citations indexed

About

F.J. González-Serrano is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, F.J. González-Serrano has authored 30 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 12 papers in Signal Processing. Recurrent topics in F.J. González-Serrano's work include Blind Source Separation Techniques (10 papers), Advanced Adaptive Filtering Techniques (8 papers) and Neural Networks and Applications (8 papers). F.J. González-Serrano is often cited by papers focused on Blind Source Separation Techniques (10 papers), Advanced Adaptive Filtering Techniques (8 papers) and Neural Networks and Applications (8 papers). F.J. González-Serrano collaborates with scholars based in Spain, France and Italy. F.J. González-Serrano's co-authors include Juan José Murillo-Fuentes, Antonio Artés-Rodrı́guez, Anı́bal R. Figueiras-Vidal, Ana García Armada, Víctor P. Gil Jiménez, M. Julia Fernández‐Getino García, A. Navia-Vázquez, Carlos Bousoño‐Calzón, Matilde Sánchez-Fernández and A. Fernández and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and Pattern Recognition.

In The Last Decade

F.J. González-Serrano

27 papers receiving 295 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.J. González-Serrano Spain 9 110 109 75 71 70 30 314
B. Baykal Türkiye 11 124 1.1× 107 1.0× 146 1.9× 99 1.4× 37 0.5× 70 422
Chanchal Chatterjee United States 10 50 0.5× 137 1.3× 175 2.3× 43 0.6× 56 0.8× 27 364
Pong P. Chu United States 10 153 1.4× 86 0.8× 32 0.4× 67 0.9× 71 1.0× 30 349
Zekeriya Uykan Finland 9 136 1.2× 146 1.3× 16 0.2× 115 1.6× 55 0.8× 33 340
George M. Georgiou United States 5 38 0.3× 194 1.8× 82 1.1× 22 0.3× 34 0.5× 12 257
Cheolwoo You South Korea 10 291 2.6× 158 1.4× 145 1.9× 184 2.6× 42 0.6× 72 478
Luiz F. Q. Silveira Brazil 11 126 1.1× 238 2.2× 214 2.9× 277 3.9× 58 0.8× 47 533
Enzo Mumolo Italy 9 55 0.5× 79 0.7× 117 1.6× 41 0.6× 49 0.7× 70 281
Rohan Patidar India 6 42 0.4× 114 1.0× 24 0.3× 24 0.3× 114 1.6× 6 268
P. Campolucci Italy 8 64 0.6× 165 1.5× 73 1.0× 8 0.1× 97 1.4× 19 269

Countries citing papers authored by F.J. González-Serrano

Since Specialization
Citations

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

Fields of papers citing papers by F.J. González-Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J. González-Serrano. 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.J. González-Serrano. The network helps show where F.J. González-Serrano may publish in the future.

Co-authorship network of co-authors of F.J. González-Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of F.J. González-Serrano. A scholar is included among the top collaborators of F.J. González-Serrano 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.J. González-Serrano. F.J. González-Serrano 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.
González-Serrano, F.J., et al.. (2022). Optimum Bayesian thresholds for rebalanced classification problems using class-switching ensembles. Pattern Recognition. 135. 109158–109158. 3 indexed citations
2.
Seco, Diego, et al.. (2020). Boosting Point-of-Interest Recommendation with Multigranular Time Representations. JUCS - Journal of Universal Computer Science. 22. 1148–1174. 1 indexed citations
3.
González-Serrano, F.J., et al.. (2017). Supervised machine learning using encrypted training data. International Journal of Information Security. 17(4). 365–377. 13 indexed citations
4.
Bousoño‐Calzón, Carlos, et al.. (2015). Radial Basis Function Interpolation for Signal-Model-Independent Localization. IEEE Sensors Journal. 16(7). 2028–2035. 8 indexed citations
5.
González-Serrano, F.J., et al.. (2014). State estimation using an extended Kalman filter with privacy-protected observed inputs. 54–59. 17 indexed citations
6.
González-Serrano, F.J., et al.. (2013). On the Use of Modified Cramér-Rao Bound in Sensor Deployment. IEEE Sensors Journal. 13(11). 4163–4171. 3 indexed citations
7.
González-Serrano, F.J., et al.. (2008). Support Vector Machines for Multiple Targets Tracking with Sensor Networks. 22. 1–5. 1 indexed citations
8.
Murillo-Fuentes, Juan José & F.J. González-Serrano. (2004). A Sinusoidal Contrast Function for the Blind Separation of Statistically Independent Sources. IEEE Transactions on Signal Processing. 52(12). 3459–3463. 7 indexed citations
9.
Jiménez, Víctor P. Gil, M. Julia Fernández‐Getino García, F.J. González-Serrano, & Ana García Armada. (2004). Design and implementation of synchronization and AGC for OFDM-based WLAN receivers. IEEE Transactions on Consumer Electronics. 50(4). 1016–1025. 52 indexed citations
10.
Murillo-Fuentes, Juan José, F.J. González-Serrano, Javier Ramos, & Antonio J. Caamaño. (2003). Natural gradient based blind multiuser detection. 44. 1186–1189. 1 indexed citations
11.
González-Serrano, F.J., et al.. (2003). Quality of service of voip over DVB-RCS. Dialnet (Universidad de la Rioja). 283–288. 6 indexed citations
12.
Murillo-Fuentes, Juan José, Matilde Sánchez-Fernández, & F.J. González-Serrano. (2002). Adaptive blind multiuser detection in asynchronous CDMA. 1844–1848. 2 indexed citations
13.
Murillo-Fuentes, Juan José & F.J. González-Serrano. (2002). Median equivariant adaptive separation via independence: application to communications. Neurocomputing. 49(1-4). 389–409. 5 indexed citations
14.
González-Serrano, F.J., et al.. (2002). Nonlinear equalizer for CDMA in fading channels. 4. 2364–2368.
15.
González-Serrano, F.J., et al.. (2002). Independent component analysis applied to digital image watermarking. 3. 1997–2000. 25 indexed citations
16.
González-Serrano, F.J., Antonio Artés-Rodrı́guez, & Anı́bal R. Figueiras-Vidal. (2002). The generalized CMAC. 3. 594–597. 1 indexed citations
17.
González-Serrano, F.J., Juan José Murillo-Fuentes, & Antonio Artés-Rodrı́guez. (2001). GCMAC-based predistortion for digital modulations. IEEE Transactions on Communications. 49(9). 1679–1689. 8 indexed citations
18.
González-Serrano, F.J. & Juan José Murillo-Fuentes. (2001). Adaptive nonlinear compensation for CDMA communication systems. IEEE Transactions on Vehicular Technology. 50(1). 34–42. 7 indexed citations
19.
González-Serrano, F.J., Anı́bal R. Figueiras-Vidal, & Antonio Artés-Rodrı́guez. (1998). Generalizing CMAC architecture and training. IEEE Transactions on Neural Networks. 9(6). 1509–1514. 69 indexed citations
20.
González-Serrano, F.J., et al.. (1996). A Fast Lut+Cmac Data Predistorter. INFM-OAR (INFN Catania).

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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