Laura Rebollo‐Neira

60 papers and 872 indexed citations i.

About

Laura Rebollo‐Neira is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Applied Mathematics. According to data from OpenAlex, Laura Rebollo‐Neira has authored 60 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 22 papers in Computational Mechanics and 18 papers in Applied Mathematics. Recurrent topics in Laura Rebollo‐Neira’s work include Image and Signal Denoising Methods (33 papers), Sparse and Compressive Sensing Techniques (19 papers) and Mathematical Analysis and Transform Methods (14 papers). Laura Rebollo‐Neira is often cited by papers focused on Image and Signal Denoising Methods (33 papers), Sparse and Compressive Sensing Techniques (19 papers) and Mathematical Analysis and Transform Methods (14 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, A.G. Constantinides, Zhiqiang Xu, A.J. Arvía, Rita D. Bonetto, Gagan Aggarwal, Diego M. A. Guérin and Daniel Whitehouse and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

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

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.

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).

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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2025