Miguel Pagola

52 papers and 2.7k indexed citations i.

About

Miguel Pagola is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miguel Pagola has authored 52 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Science and Operations Research, 25 papers in Artificial Intelligence and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miguel Pagola’s work include Multi-Criteria Decision Making (26 papers), Rough Sets and Fuzzy Logic (20 papers) and Fuzzy Logic and Control Systems (20 papers). Miguel Pagola is often cited by papers focused on Multi-Criteria Decision Making (26 papers), Rough Sets and Fuzzy Logic (20 papers) and Fuzzy Logic and Control Systems (20 papers). Miguel Pagola collaborates with scholars based in Spain, Saudi Arabia and Portugal. Miguel Pagola's co-authors include Humberto Bustince, Edurne Barrenechea, Javier Fernández, Francisco Herrera, Aránzazu Jurío, Radko Mesiar, Javier Montero, Hani Hagras, Eyke Hüllermeier and Benjamín Bedregal and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Miguel Pagola i

Fields of papers citing papers by Miguel Pagola

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

Countries citing papers authored by Miguel Pagola

Since Specialization
Citations

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

Rankless by CCL
2025