Ria Pita
About
Ria Pita is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Cognitive Neuroscience.
According to data from OpenAlex, Ria Pita has authored 4 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Experimental and Cognitive Psychology, 1 paper in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Ria Pita’s work include Multisensory perception and integration (2 papers), Categorization, perception, and language (2 papers) and Topic Modeling (1 paper). Ria Pita is often cited by papers focused on Multisensory perception and integration (2 papers), Categorization, perception, and language (2 papers) and Topic Modeling (1 paper). Ria Pita collaborates with scholars based in Greece, United Kingdom and Germany. Ria Pita's co-authors include Daniel Casasanto, Lera Boroditsky, Max M. Louwerse, Xiangen Hu and Panayiotis I. Ioannides and has published in prestigious journals such as British Journal of Psychology and Neurocase.
In The Last Decade
Fields of papers citing papers by Ria Pita
Since SpecializationEngineeringComputer 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 Ria Pita. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ria Pita may publish in the future.
Countries citing papers authored by Ria Pita
Since SpecializationCitations
This map shows the geographic impact of Ria Pita'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 Ria Pita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ria Pita more than expected).
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