Pablo Díaz‐Rodríguez

Author

Also Known As

P. Díaz-Rodríguez, Pablo Diaz-Rodriguez, Pablo Diaz-Rodríguez, Pablo Díaz-Rodriguez, Pablo Díaz-Rodríguez, Pablo Díaz‐Rodríguez, Pablo Pablo Díaz-Rodriguez

Publications

409

Citations

H-Index

Concepts

All Affiliations

Universidad Complutense de Madrid Universidad Católica de Murcia Universidad Politécnica de Madrid

About

Pablo Díaz‐Rodríguez is an author at Universidad Complutense de Madrid specializing in engineering, analytical chemistry, and chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	244
2	Health Sciences	1	1	34
3	Management	1	1	23
4	Medicine	1	1	25
5	Social Sciences	1	1	34

Pablo Díaz‐Rodríguez

Publications

365

Citations

H-Index

Page 1

	Year	Citations
Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values Pablo Díaz‐Rodríguez, John C. Cancilla, Natalia V. Plechkova, Physical Chemistry Chemical Physics Materials ScienceSolid-state IonicOptical MaterialsEngineeringRefractive Index	2013	55
Estimation with neural networks of the water content in imidazolium-based ionic liquids using their experimental density and viscosity values José S. Torrecilla, César Tortuero, John C. Cancilla, Talanta Deep Eutectic SolventSolid-state IonicEngineeringLiquid-liquid FlowIonic Conductor	2013	45
Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils José S. Torrecilla, John C. Cancilla, Gemma Matute, Journal of Food Engineering Chaotic ParametersSelf-organizing MapData ScienceInferior Edible Oils	2013	44
Linking Chemical Parameters to Sensory Panel Results through Neural Networks To Distinguish Olive Oil Quality John C. Cancilla, Selina C. Wang, Pablo Díaz‐Rodríguez, Journal of Agricultural and Food Chemistry Machine LearningChemical ParametersFood AnalysisSensory ScienceSocial Sciences	2014	34
Experimental and computational studies of the influence of grain boundaries and temperature on the radiation-induced damage and hydrogen behavior in tungsten M. Panizo-Laiz, Pablo Díaz‐Rodríguez, A. Rivera, Nuclear Fusion	2019	29
Neural networks to estimate the water content of imidazolium-based ionic liquids using their refractive indices José S. Torrecilla, César Tortuero, John C. Cancilla, Talanta Materials ScienceDeep Eutectic SolventSolid-state IonicEngineeringIonic Conductor	2013	27
Artificial neural networks applied to fluorescence studies for accurate determination of N-butylpyridinium chloride concentration in aqueous solution John C. Cancilla, Pablo Díaz‐Rodríguez, J. G. Izquierdo, Sensors and Actuators B Chemical Chemical EngineeringEngineeringArtificial Neural NetworksN-butylpyridinium Chloride ConcentrationChemical Analysis	2014	25
Viscosity estimation of binary mixtures of ionic liquids through a multi-layer perceptron model Pablo Díaz‐Rodríguez, John C. Cancilla, Gemma Matute, Journal of Industrial and Engineering Chemistry EngineeringSimple LiquidPhysicsIonic LiquidsMulti-layer Perceptron Model	2014	24
Neural network models to classify olive oils within the protected denomination of origin framework José S. Torrecilla, John C. Cancilla, Gemma Matute, International Journal of Food Science & Technology EngineeringMachine LearningAgricultural EconomicsMultilayer PerceptronClassification Method	2013	23
Direct observation of hydrogen permeation through grain boundaries in tungsten Pablo Díaz‐Rodríguez, M. Panizo-Laiz, César González, Emergent Materials Materials ScienceMaterials EngineeringGrain BoundariesEngineeringPhysics	2022	19

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