Joan Bartrina-Rapestà

34 papers and 171 indexed citations i.

About

Joan Bartrina-Rapestà is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Joan Bartrina-Rapestà has authored 34 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Joan Bartrina-Rapestà’s work include Advanced Data Compression Techniques (33 papers), Image and Signal Denoising Methods (19 papers) and Video Coding and Compression Technologies (7 papers). Joan Bartrina-Rapestà is often cited by papers focused on Advanced Data Compression Techniques (33 papers), Image and Signal Denoising Methods (19 papers) and Video Coding and Compression Technologies (7 papers). Joan Bartrina-Rapestà collaborates with scholars based in Spain, United States and United Kingdom. Joan Bartrina-Rapestà's co-authors include Joan Serra-Sagristà, Francesc Aulí-Llinàs, Michael W. Marcellin, Ian Blanes, Víctor Sánchez, Miguel Hernández-Cabronero, Juan Carlos Moure, Roberto Sarmiento, Johannes Ballé and Alaitz Zabala and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Joan Bartrina-Rapestà i

Fields of papers citing papers by Joan Bartrina-Rapestà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Bartrina-Rapestà. 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 Joan Bartrina-Rapestà. The network helps show where Joan Bartrina-Rapestà may publish in the future.

Countries citing papers authored by Joan Bartrina-Rapestà

Since Specialization
Citations

This map shows the geographic impact of Joan Bartrina-Rapestà'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 Joan Bartrina-Rapestà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Bartrina-Rapestà 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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