Daniel Hernández-Lobato

About

Daniel Hernández-Lobato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Hernández-Lobato has authored 40 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Hernández-Lobato’s work include Gaussian Processes and Bayesian Inference (19 papers), Machine Learning and Data Classification (11 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Daniel Hernández-Lobato is often cited by papers focused on Gaussian Processes and Bayesian Inference (19 papers), Machine Learning and Data Classification (11 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Daniel Hernández-Lobato collaborates with scholars based in Spain, United Kingdom and Belgium. Daniel Hernández-Lobato's co-authors include Alberto Suárez, José Miguel Hernández-Lobato, Gonzalo Martínez-Muñoz, Eduardo C. Garrido‐Merchán and Pierre Dupont and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Fields of papers citing papers by Daniel Hernández-Lobato

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

Countries citing papers authored by Daniel Hernández-Lobato

Since Specialization

Citations

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

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