Maria Torres Vega

55 papers and 571 indexed citations i.

About

Maria Torres Vega is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction. According to data from OpenAlex, Maria Torres Vega has authored 55 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 13 papers in Human-Computer Interaction. Recurrent topics in Maria Torres Vega’s work include Image and Video Quality Assessment (31 papers), Video Coding and Compression Technologies (14 papers) and Virtual Reality Applications and Impacts (11 papers). Maria Torres Vega is often cited by papers focused on Image and Video Quality Assessment (31 papers), Video Coding and Compression Technologies (14 papers) and Virtual Reality Applications and Impacts (11 papers). Maria Torres Vega collaborates with scholars based in Belgium, The Netherlands and Italy. Maria Torres Vega's co-authors include Filip De Turck, Antonio Liotta, Tim Wauters, Decebal Constantin Mocanu, Jeroen van der Hooft, Cristian Perra, Alexander Clemm, Stefano Petrangeli, Stavros Stavrou and Jeroen Famaey and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Maria Torres Vega i

Fields of papers citing papers by Maria Torres Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Torres Vega. 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 Maria Torres Vega. The network helps show where Maria Torres Vega may publish in the future.

Countries citing papers authored by Maria Torres Vega

Since Specialization
Citations

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