Marcelo de Paiva Guimarães

24 papers and 70 indexed citations i.

About

Marcelo de Paiva Guimarães is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Marcelo de Paiva Guimarães has authored 24 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Human-Computer Interaction and 4 papers in Artificial Intelligence. Recurrent topics in Marcelo de Paiva Guimarães’s work include Augmented Reality Applications (8 papers), Virtual Reality Applications and Impacts (5 papers) and Educational Games and Gamification (3 papers). Marcelo de Paiva Guimarães is often cited by papers focused on Augmented Reality Applications (8 papers), Virtual Reality Applications and Impacts (5 papers) and Educational Games and Gamification (3 papers). Marcelo de Paiva Guimarães collaborates with scholars based in Brazil, Portugal and Chile. Marcelo de Paiva Guimarães's co-authors include Diego Roberto Colombo Dias, Valéria Farinazzo Martins, Marcelo K. Zuffo, Cháriston André Dal Belo and Simone Georges El Khouri Miraglia and has published in prestigious journals such as Computers in Biology and Medicine, Pesticide Biochemistry and Physiology and Lecture notes in computer science.

In The Last Decade

Fields of papers citing papers by Marcelo de Paiva Guimarães

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

Countries citing papers authored by Marcelo de Paiva Guimarães

Since Specialization
Citations

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

Rankless by CCL
2025