Milagros Fernández‐Gavilanes

16 papers and 243 indexed citations i.

About

Milagros Fernández‐Gavilanes is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Human-Computer Interaction. According to data from OpenAlex, Milagros Fernández‐Gavilanes has authored 16 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 2 papers in Human-Computer Interaction. Recurrent topics in Milagros Fernández‐Gavilanes’s work include Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (7 papers) and Topic Modeling (6 papers). Milagros Fernández‐Gavilanes is often cited by papers focused on Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (7 papers) and Topic Modeling (6 papers). Milagros Fernández‐Gavilanes collaborates with scholars based in Spain and United Kingdom. Milagros Fernández‐Gavilanes's co-authors include Jonathan Juncal-Martínez, Enrique Costa‐Montenegro, Francisco J. González‐Castaño, Silvia García-Méndez and Francisco de Arriba-Pérez and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Data & Knowledge Engineering.

In The Last Decade

Fields of papers citing papers by Milagros Fernández‐Gavilanes

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

Countries citing papers authored by Milagros Fernández‐Gavilanes

Since Specialization
Citations

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

Rankless by CCL
2025