José Miguel Hernández-Lobato

74 papers and 2.7k indexed citations i.

About

José Miguel Hernández-Lobato is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, José Miguel Hernández-Lobato has authored 74 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 15 papers in Materials Chemistry. Recurrent topics in José Miguel Hernández-Lobato’s work include Gaussian Processes and Bayesian Inference (20 papers), Machine Learning and Algorithms (15 papers) and Machine Learning in Materials Science (15 papers). José Miguel Hernández-Lobato is often cited by papers focused on Gaussian Processes and Bayesian Inference (20 papers), Machine Learning and Algorithms (15 papers) and Machine Learning in Materials Science (15 papers). José Miguel Hernández-Lobato collaborates with scholars based in United Kingdom, United States and Spain. José Miguel Hernández-Lobato's co-authors include Daniel Hernández-Lobato, Zoubin Ghahramani, Richard E. Turner, Neil Houlsby and Alberto Suárez and has published in prestigious journals such as The Journal of Organic Chemistry, Chemical Science and Pattern Recognition.

In The Last Decade

Fields of papers citing papers by José Miguel 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 José Miguel Hernández-Lobato. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where José Miguel Hernández-Lobato may publish in the future.

Countries citing papers authored by José Miguel Hernández-Lobato

Since Specialization
Citations

This map shows the geographic impact of José Miguel 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 José Miguel 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 José Miguel Hernández-Lobato more than expected).

Rankless by CCL
2025