Valeria de Paiva

44 papers and 377 indexed citations i.

About

Valeria de Paiva is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Valeria de Paiva has authored 44 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Valeria de Paiva’s work include Logic, Reasoning, and Knowledge (23 papers), Logic, programming, and type systems (20 papers) and Natural Language Processing Techniques (15 papers). Valeria de Paiva is often cited by papers focused on Logic, Reasoning, and Knowledge (23 papers), Logic, programming, and type systems (20 papers) and Natural Language Processing Techniques (15 papers). Valeria de Paiva collaborates with scholars based in United States, United Kingdom and Brazil. Valeria de Paiva's co-authors include Alexandre Rademaker, Richard Crouch, Gerard de Melo, Luiz Carlos Pereira and Gavin Bierman and has published in prestigious journals such as Communications of the ACM, Theoretical Computer Science and Computational Linguistics.

In The Last Decade

Fields of papers citing papers by Valeria de Paiva

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

Countries citing papers authored by Valeria de Paiva

Since Specialization
Citations

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

Rankless by CCL
2025