M.C. Carrión

585 total citations
49 papers, 427 citations indexed

About

M.C. Carrión is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, M.C. Carrión has authored 49 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Signal Processing, 12 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in M.C. Carrión's work include Blind Source Separation Techniques (19 papers), Image and Signal Denoising Methods (7 papers) and Advanced Adaptive Filtering Techniques (7 papers). M.C. Carrión is often cited by papers focused on Blind Source Separation Techniques (19 papers), Image and Signal Denoising Methods (7 papers) and Advanced Adaptive Filtering Techniques (7 papers). M.C. Carrión collaborates with scholars based in Spain, United Kingdom and United States. M.C. Carrión's co-authors include Diego P. Ruíz, Antolino Gallego, Yufei Huang, I. M. Tienda-Luna, M. Sánchez-Castillo, Jorge A. Portı́, Abdellatif Medouri, J.A. Morente, Antonio López Medina and E. Alameda-Hernández and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Signal Processing and IEEE Transactions on Antennas and Propagation.

In The Last Decade

M.C. Carrión

45 papers receiving 409 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.C. Carrión Spain 11 121 76 70 69 59 49 427
Xu Xu China 17 20 0.2× 106 1.4× 58 0.8× 321 4.7× 27 0.5× 91 842
Alper Güngör Türkiye 11 144 1.2× 28 0.4× 66 0.9× 89 1.3× 290 4.9× 41 726
Janusz S. Kulpa Poland 11 9 0.1× 34 0.4× 75 1.1× 298 4.3× 95 1.6× 39 535
S. Bellini Italy 15 17 0.1× 148 1.9× 474 6.8× 42 0.6× 196 3.3× 76 821
Jack Perkins Australia 4 16 0.1× 53 0.7× 18 0.3× 36 0.5× 22 0.4× 6 433
Luis Pizarro United Kingdom 13 73 0.6× 3 0.0× 25 0.4× 38 0.6× 117 2.0× 42 641
G. Panfilo France 12 6 0.0× 24 0.3× 53 0.8× 188 2.7× 27 0.5× 47 649
Na Qi China 11 19 0.2× 14 0.2× 75 1.1× 12 0.2× 59 1.0× 36 293
Chengbiao Wan China 14 40 0.3× 32 0.4× 167 2.4× 246 3.6× 19 0.3× 25 497

Countries citing papers authored by M.C. Carrión

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Carrión

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.C. Carrión

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Carrión. A scholar is included among the top collaborators of M.C. Carrión 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.C. Carrión. M.C. Carrión 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.
Salinas, Alfonso, et al.. (2022). Schumann resonance data processing programs and four-year measurements from Sierra Nevada ELF station. Computers & Geosciences. 165. 105148–105148. 2 indexed citations
2.
Salinas, Alfonso, et al.. (2022). Four Year Study of the Schumann Resonance Regular Variations Using the Sierra Nevada Station Ground‐Based Magnetometers. Journal of Geophysical Research Atmospheres. 127(6). 7 indexed citations
3.
Carrión, M.C., et al.. (2018). On the Need of a Unified Methodology for Processing Schumann Resonance Measurements. Journal of Geophysical Research Atmospheres. 123(23). 10 indexed citations
4.
Salas-González, D., et al.. (2008). Neural networks and Principal Component Analysis applied to Automatic Radar Target Recognition based on Natural Resonances.. 5. 49–56. 1 indexed citations
5.
6.
Tienda-Luna, I. M., Yufang Yin, M.C. Carrión, et al.. (2007). Inferring the skeleton cell cycle regulatory network of malaria parasite using comparative genomic and variational Bayesian approaches. Genetica. 132(2). 131–142. 7 indexed citations
7.
Carrión, M.C., et al.. (2006). Risk-Averting Cost Function For Independent Component Analysis In Signals With Multiplicative Noise. INFM-OAR (INFN Catania). 1–5. 1 indexed citations
8.
Medina, Antonio López, et al.. (2005). Characterization of electron contamination in megavoltage photon beams. Medical Physics. 32(5). 1281–1292. 42 indexed citations
9.
Mulgrew, B., et al.. (2005). Ica In Signals With Multiplicative Noise Using Fourth-Order Statistic. INFM-OAR (INFN Catania). 1–4. 4 indexed citations
10.
Alameda-Hernández, E., et al.. (2004). The Averaged, Overdetermined And Generalised Lms (Aoglms) Algorithm. INFM-OAR (INFN Catania). 1817–1820.
11.
Medina, Antonio López, et al.. (2003). Comparison between TG-51 and TRS-398: electron contamination effect on photon beam-quality specification. Physics in Medicine and Biology. 49(1). 17–32. 12 indexed citations
12.
Gallego, Antolino, Diego P. Ruíz, & M.C. Carrión. (1997). Radar target discrimination using ahybridE-pulse fourth-order moments technique. IEE Proceedings - Radar Sonar and Navigation. 144(6). 355–360. 2 indexed citations
13.
Gallego, Antolino, M.C. Carrión, Diego P. Ruíz, & J.A. Morente. (1996). Improved S-pulse automated scheme using subsectional polynomial basis functions. IEEE Transactions on Antennas and Propagation. 44(6). 859–862. 3 indexed citations
14.
Ruíz, Diego P., M.C. Carrión, Antolino Gallego, & J.A. Morente. (1996). Identification of MA processes using cumulants: several sets of linear equations. IEE Proceedings - Vision Image and Signal Processing. 143(2). 87–87. 5 indexed citations
15.
Carrión, M.C., Diego P. Ruíz, Antolino Gallego, & J.A. Morente. (1995). FIR system identification using third- andfourth-order cumulants. Electronics Letters. 31(8). 612–614. 7 indexed citations
16.
Carrión, M.C., et al.. (1995). A block-data recursive-in-order method based on reflection coefficients for bispectrum estimation using AR-modeling. Signal Processing. 47(1). 19–32. 5 indexed citations
17.
Gallego, Antolino, M.C. Carrión, Diego P. Ruíz, & Abdellatif Medouri. (1994). The relationship between AR-modelling bispectral estimation and the theory of linear prediction. Signal Processing. 37(3). 381–388. 10 indexed citations
18.
Portı́, Jorge A., et al.. (1994). Wire-junction matrix model for the TLM method. IEEE Transactions on Antennas and Propagation. 42(2). 282–285. 9 indexed citations
19.
Gallego, Antolino, M.C. Carrión, Diego P. Ruíz, & Abdellatif Medouri. (1993). Extended E-pulse technique for discrimination of conducting spheres. IEEE Transactions on Antennas and Propagation. 41(10). 1460–1462. 10 indexed citations
20.
Carrión, M.C., Antolino Gallego, Jorge A. Portı́, & Diego P. Ruíz. (1993). Subsectional-polynomial E-pulse synthesis and application to radar target discrimination. IEEE Transactions on Antennas and Propagation. 41(9). 1204–1211. 22 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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