Javier Parapar

45 papers and 287 indexed citations i.

About

Javier Parapar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Javier Parapar has authored 45 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Javier Parapar’s work include Recommender Systems and Techniques (16 papers), Topic Modeling (10 papers) and Information Retrieval and Search Behavior (10 papers). Javier Parapar is often cited by papers focused on Recommender Systems and Techniques (16 papers), Topic Modeling (10 papers) and Information Retrieval and Search Behavior (10 papers). Javier Parapar collaborates with scholars based in Spain, United States and Germany. Javier Parapar's co-authors include Álvaro Barreiro, Daniel Valcarce, David E. Losada, Pablo Castells, Alejandro Bellogín, Fábio Crestani, José Sántos, E. Mark Cummings, Fidel Cacheda and P Piot and has published in prestigious journals such as Information Sciences, Knowledge-Based Systems and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Javier Parapar i

Fields of papers citing papers by Javier Parapar

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

Countries citing papers authored by Javier Parapar

Since Specialization
Citations

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

Rankless by CCL
2025