Maria Riveiro

41 papers and 628 indexed citations i.

About

Maria Riveiro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Maria Riveiro has authored 41 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 10 papers in Social Psychology. Recurrent topics in Maria Riveiro’s work include Data Visualization and Analytics (14 papers), Anomaly Detection Techniques and Applications (8 papers) and Human-Automation Interaction and Safety (8 papers). Maria Riveiro is often cited by papers focused on Data Visualization and Analytics (14 papers), Anomaly Detection Techniques and Applications (8 papers) and Human-Automation Interaction and Safety (8 papers). Maria Riveiro collaborates with scholars based in Sweden, United States and Germany. Maria Riveiro's co-authors include Zhen Rong, Yongxing Jin, Göran Falkman, Michele Vespe, Giuliana Pallotta, Serge Thill, Mikael Lebram, Tove Helldin, Tom Ziemke and Christoph Kinkeldey and has published in prestigious journals such as PLoS ONE, Sensors and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Maria Riveiro i

Fields of papers citing papers by Maria Riveiro

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 Riveiro. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maria Riveiro may publish in the future.

Countries citing papers authored by Maria Riveiro

Since Specialization
Citations

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

Rankless by CCL
2025