Laura Rebollo‐Neira

1.2k total citations
48 papers, 822 citations indexed

About

Laura Rebollo‐Neira is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Laura Rebollo‐Neira has authored 48 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 19 papers in Computational Mechanics and 15 papers in Signal Processing. Recurrent topics in Laura Rebollo‐Neira's work include Image and Signal Denoising Methods (28 papers), Sparse and Compressive Sensing Techniques (17 papers) and Mathematical Analysis and Transform Methods (12 papers). Laura Rebollo‐Neira is often cited by papers focused on Image and Signal Denoising Methods (28 papers), Sparse and Compressive Sensing Techniques (17 papers) and Mathematical Analysis and Transform Methods (12 papers). Laura Rebollo‐Neira collaborates with scholars based in United Kingdom, Argentina and Spain. Laura Rebollo‐Neira's co-authors include A. Plastino, David Lowe, Juan A. Fernandez–Rubio, Zhiqiang Xu, A.G. Constantinides, Gagan Aggarwal, Daniel Whitehouse, A. Plastino, Alberto Álvarez-Gallegos and Rita D. Bonetto and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Laura Rebollo‐Neira

46 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Rebollo‐Neira United Kingdom 11 276 218 179 113 107 48 822
Rongjie Lai United States 18 396 1.4× 399 1.8× 134 0.7× 51 0.5× 77 0.7× 60 1.0k
Tomer Michaeli Israel 16 187 0.7× 550 2.5× 92 0.5× 258 2.3× 112 1.0× 64 1.3k
Rolf Klein Germany 20 202 0.7× 487 2.2× 226 1.3× 71 0.6× 132 1.2× 109 1.5k
Hai Zhang China 16 202 0.7× 154 0.7× 54 0.3× 344 3.0× 218 2.0× 53 996
Ole Tingleff United States 4 127 0.5× 212 1.0× 54 0.3× 92 0.8× 183 1.7× 5 924
Stanley H. Chan United States 21 258 0.9× 1.0k 4.7× 67 0.4× 293 2.6× 185 1.7× 95 1.7k
Lixing Han United States 10 107 0.4× 70 0.3× 40 0.2× 102 0.9× 148 1.4× 28 1.1k
Jaime H. Ortega Chile 16 139 0.5× 182 0.8× 26 0.1× 99 0.9× 52 0.5× 56 873
Gilad Lerman United States 17 253 0.9× 391 1.8× 85 0.5× 499 4.4× 126 1.2× 44 1.3k
D. R. K. Brownrigg United Kingdom 6 130 0.5× 949 4.4× 188 1.1× 99 0.9× 75 0.7× 8 1.5k

Countries citing papers authored by Laura Rebollo‐Neira

Since Specialization
Citations

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

Fields of papers citing papers by Laura Rebollo‐Neira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Rebollo‐Neira. 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 Laura Rebollo‐Neira. The network helps show where Laura Rebollo‐Neira may publish in the future.

Co-authorship network of co-authors of Laura Rebollo‐Neira

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Rebollo‐Neira. A scholar is included among the top collaborators of Laura Rebollo‐Neira 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 Laura Rebollo‐Neira. Laura Rebollo‐Neira 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.
Rebollo‐Neira, Laura, et al.. (2023). Enhancing sparse representation of color images by cross channel transformation. PLoS ONE. 18(1). e0279917–e0279917. 3 indexed citations
2.
Rebollo‐Neira, Laura, et al.. (2021). Construction of wavelet dictionaries for ECG modeling. MethodsX. 8. 101314–101314. 5 indexed citations
3.
Rebollo‐Neira, Laura. (2019). Effective high compression of ECG signals at low level distortion. Scientific Reports. 9(1). 4564–4564. 21 indexed citations
4.
Rebollo‐Neira, Laura. (2018). A competitive scheme for storing sparse representation of X-Ray medical images. PLoS ONE. 13(8). e0201455–e0201455. 5 indexed citations
5.
Rebollo‐Neira, Laura. (2017). Effective sparse representation of X‐ray medical images. International Journal for Numerical Methods in Biomedical Engineering. 33(12). 4 indexed citations
6.
Rebollo‐Neira, Laura, et al.. (2016). Analysis of a low memory implementation of the Orthogonal Matching Pursuit greedy strategy. arXiv (Cornell University). 1 indexed citations
7.
Rebollo‐Neira, Laura. (2016). Cooperative greedy pursuit strategies for sparse signal representation by partitioning. Signal Processing. 125. 365–375. 14 indexed citations
8.
Xu, Zhiqiang, Laura Rebollo‐Neira, & A. Plastino. (2010). Subspace modelling for structured noise suppression. Physica A Statistical Mechanics and its Applications. 389(10). 2030–2035. 1 indexed citations
9.
Rebollo‐Neira, Laura, et al.. (2009). Sparsity and 'something else'. arXiv (Cornell University). 1 indexed citations
10.
Rebollo‐Neira, Laura, et al.. (2008). From cardinal spline wavelet bases to highly coherent dictionaries. Journal of Physics A Mathematical and Theoretical. 41(17). 172001–172001. 8 indexed citations
11.
Rebollo‐Neira, Laura. (2007). Constructive updating/downdating of oblique projectors: a generalization of the Gram–Schmidt process. Journal of Physics A Mathematical and Theoretical. 40(24). 6381–6394. 9 indexed citations
12.
Rebollo‐Neira, Laura, et al.. (2006). Experiments on orthogonalization by biorthogonal representations of orthogonal projectors. Journal of Computational and Applied Mathematics. 205(1). 545–551. 3 indexed citations
13.
Rebollo‐Neira, Laura, et al.. (2005). Cardinal B-spline dictionaries on a compact interval. Applied and Computational Harmonic Analysis. 18(3). 336–346. 17 indexed citations
14.
Rebollo‐Neira, Laura & A. Plastino. (2004). 冗長な雑音付データからq=1/2最大エントロピーへの構成近似. Physical Review E. 70. 1–21104. 333 indexed citations
15.
Rebollo‐Neira, Laura, et al.. (2004). Oversampling of Fourier coefficients for hiding messages. Applied and Computational Harmonic Analysis. 16(3). 203–207. 4 indexed citations
16.
Rebollo‐Neira, Laura & A. Plastino. (2002). Recursive approach for constructing theq=1/2maximum entropy distribution from redundant data. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(3). 32102–32102. 2 indexed citations
17.
Rebollo‐Neira, Laura & A. Plastino. (2001). Nonextensive maximum-entropy-based formalism for data subset selection. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 11113–11113. 4 indexed citations
18.
Rebollo‐Neira, Laura. (2000). Frames of cross ambiguity functions. IEEE Signal Processing Letters. 7(10). 293–296. 3 indexed citations
19.
Rebollo‐Neira, Laura, A. Plastino, & Juan A. Fernandez–Rubio. (1998). On the q= non-extensive maximum entropy distribution. Physica A Statistical Mechanics and its Applications. 258(3-4). 458–465. 11 indexed citations
20.
Rebollo‐Neira, Laura, Juan A. Fernandez–Rubio, & A. Plastino. (1997). Frames: A maximum entropy statistical estimate of the inverse problem. Journal of Mathematical Physics. 38(9). 4863–4871. 7 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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