Jaime Gómez-Hernández | Academic Influence

Jaime Gómez-Hernández's AcademicInfluence.com Rankings

Jaime Gómez-Hernández

Computer Science

#11515

World Rank

#12209

Historical Rank

Machine Learning

#5861

World Rank

#5949

Historical Rank

Artificial Intelligence

#6320

World Rank

#6428

Historical Rank

Database

#9815

World Rank

#10398

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Jaime Gómez-Hernández's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Stanford University

Similar Degrees You Can Earn

Why Is Jaime Gómez-Hernández Influential?

(Suggest an Edit or Addition)

According to Wikipedia, J. Jaime Gómez-Hernández is a Spanish civil engineer specialized in geostatistics and hydrogeology. He is a full professor of hydraulic engineering at the School of Civil Engineering of the Technical University of Valencia. He was conferred the William Christian Krumbein Medal in 2020 from the International Association for Mathematical Geosciences. He also received the 2020 Prince Sultan bin Abdulaziz International Prize for Water in the field of groundwater.

(See a Problem?)

Jaime Gómez-Hernández's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A non-parametric automatic blending methodology to estimate rainfall fields from rain gauge and radar data (2009) (218)
ISIM3D: and ANSI-C three-dimensional multiple indicator conditional simulation program (1990) (203)
Theory and Practice of Sequential Simulation (1994) (80)
Joint identification of contaminant source location, initial release time, and initial solute concentration in an aquifer via ensemble Kalman filtering (2016) (61)
A pattern‐search‐based inverse method (2012) (56)
Groundwater flow inverse modeling in non-MultiGaussian media: Performance assessment of the normal-score Ensemble Kalman Filter (2011) (54)
A Bayesian approach to stochastic capture zone delineation incorporating tracer arrival times, conductivity measurements, and hydraulic head observations (2003) (53)
Modeling transient groundwater flow by coupling ensemble Kalman filtering and upscaling (2012) (51)
A Blocking Markov Chain Monte Carlo Method for Inverse Stochastic Hydrogeological Modeling (2008) (50)
Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter (2012) (46)
Joint identification of contaminant source and aquifer geometry in a sandbox experiment with the restart ensemble Kalman filter (2018) (32)
Preserving spatial structure for inverse stochastic simulation using blocking Markov chain Monte Carlo method (2008) (23)
Characterization of non‐Gaussian conductivities and porosities with hydraulic heads, solute concentrations, and water temperatures (2016) (20)
Ensemble smoother with multiple data assimilation for reverse flow routing (2019) (19)
A Blocking Markov Chain Monte Carlo Method for Inverse Stochastic Hydrogeological Modeling (2009) (19)
Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods (2015) (18)
Simultaneous Estimation of Geologic and Reservoir State Variables Within an Ensemble-Based Multiple-Point Statistic Framework (2013) (18)
Inverse sequential simulation: A new approach for the characterization of hydraulic conductivities demonstrated on a non‐Gaussian field (2015) (17)
A Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling (2013) (15)
One Step at a Time: The Origins of Sequential Simulation and Beyond (2021) (15)
Introduction to special section on Modeling highly heterogeneous aquifers: Lessons learned in the last 30 years from the MADE experiments and others (2017) (15)
Ensemble smoother with multiple data assimilation to simultaneously estimate the source location and the release history of a contaminant spill in an aquifer (2021) (11)
Contaminant Source Identification in Aquifers: A Critical View (2021) (11)
Probability fields revisited in the context of ensemble Kalman filtering (2015) (10)
Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter (2021) (10)
A comparison between ES-MDA and restart EnKF for the purpose of the simultaneous identification of a contaminant source and hydraulic conductivity (2020) (10)
Spatiotemporal Precipitation Estimation from Rain Gauges and Meteorological Radar Using Geostatistics (2020) (9)
Comment on “Derivation of effective hydraulic parameters of a karst aquifer from discharge hydrograph analysis” by S. J. Baedke and N. C. Krothe (2003) (7)
Impact of Flow and Transport Coupling in the Upscaling of Transport Parameters for Performance Assessment in the Context of Nuclear Waste Disposal (2004) (7)
Non-point contaminant source identification in an aquifer using the ensemble smoother with multiple data assimilation (2022) (5)
Improved Rainfall Estimation by Integration of Radar Data : A Geostatistical Approach (1997) (4)
A local-global pattern matching method for subsurface stochastic inverse modeling (2015) (4)
Uncertainty assessment and data worth in groundwater ∞ow and mass transport modeling using a blocking Markov chain (2009) (4)
Geostatistics Valencia 2016 (2017) (4)
Incorporating Geophysical Information: Which Method to Use? (1997) (3)
Complexity (2006) (3)
Geostatistics and hydrology: an overview (1996) (3)
Introduction to Special Section: The Quest for Sustainability of Heavily Stressed Aquifers at Regional to Global Scales (2021) (2)
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation (2022) (2)
Corrections to “ISIM3D: an ANSIC three-dimensional multiple indicator conditional simulation program” (1992) (1)
Predicting discharge from a complex karst system using the ensemble smoother with multiple data assimilation (2022) (1)
Hydrological performance of rainfall fields estimated automatically by Kriging from rain gauges and radar data (2006) (1)
Upscaling transmissivity in the near-well region (2006) (1)
Ensemble Smoother with Multiple Data Assimilation as a Tool for Curve Fitting and Parameter Uncertainty Characterization: Example Applications to Fit Nonlinear Sorption Isotherms (2021) (1)
A Comparison of EnKF and EnPAT Inverse Methods: Non-Gaussianity (2017) (1)
Sequential Gaussian Simulation (2021) (1)
A Gradient-Based Blocking Markov Chain Monte Carlo Method for Stochastic Inverse Modeling (2017) (1)
Modeling Transient Groundwater Flow by Coupling (2011) (1)
Identification of hydraulic conductivity via normal-score ensemble smoother with multiple data assimilation (NS-MDA) by assimilating hydraulic head or concentration (2020) (0)
Optimal numerical design of bucket elevators using discontinuous deformation analysis (2014) (0)
Round Table Discussion with Emphasis on Prospects for the Future (2015) (0)
Aquifer characterization and uncertainty assessment: an ensemble-based pattern matching inverse method (2013) (0)
A Local-Global Pattern Matching Approach for Dynamic Data Integration (2014) (0)
Including the time dimension in radar-raingauge blending (2018) (0)
Inverse simulation versus prior information (2009) (0)
Reconstructing the release history of a contaminant source with different precision via the ensemble smoother with multiple data assimilation. (2022) (0)
Inverse Sequential Simulation - Inversion by Conditioning (2015) (0)
Three Dimensional Multiple Indicator Conditional Simulations of Florida's Jay Oilfield (1992) (0)
Joint identification of contaminant source and barrier information in a sandbox experiment via ensemble kalman filter (2017) (0)
TIIEORY AND PRACTICE OF SEQUENTIAL SIM ULATION (1994) (0)
Probability Field Algorithm for Multivariate Conditional Simulation (2001) (0)
Three Dimensional Multiple Indicator Conditional Simulations of Florida's Jay Oilfield (1992) (0)
Introduction to the Special Issue in Honor of André G. Journel (2021) (0)
Editorial: Stochastic Modeling in Hydrogeology (2021) (0)
A Multi-Scale-Oriented Blocking Markov Chain Monte Carlo Method for Inverse Stochastic Simulation (2007) (0)
Long-term groundwater database and assessment for the Mediterranean region (2021) (0)
An application of the ensemble Kalman filter for the simultaneous identification of a contaminant source and aquifer hydraulic conductivities by assimilating piezometric heads and concentrations (2017) (0)
The Editor’s Best Reviewer Awards 2013 (2014) (0)

This paper list is powered by the following services:

Other Resources About Jaime Gómez-Hernández

en.wikipedia.org

What Schools Are Affiliated With Jaime Gómez-Hernández?

Jaime Gómez-Hernández is affiliated with the following schools:

Stanford University