Maria Torres Vega

55 papers and 550 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 550 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, Jeroen van der Hooft, Tim Wauters and Decebal Constantin Mocanu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and IEEE Access.

In The Last Decade

Fields of papers citing papers by Maria Torres Vega

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Maria Torres Vega. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025