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- Peter K. Kitanidis

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Engineering and Technology
D-index
60
Citations
13,324
176
World Ranking
611
National Ranking
269

2001 - Fellow of American Geophysical Union (AGU)

- Statistics
- Thermodynamics
- Mathematical analysis

His primary scientific interests are in Mathematical optimization, Applied mathematics, Statistics, Aquifer and Environmental chemistry. Peter K. Kitanidis interconnects State space and Bayesian inference in the investigation of issues within Mathematical optimization. His study in Applied mathematics is interdisciplinary in nature, drawing from both Covariance, Inverse problem and Variogram.

His Covariance study combines topics in areas such as Estimation theory and Covariance matrix. His biological study spans a wide range of topics, including Soil science, Mixing and Problem domain. The concepts of his Environmental chemistry study are interwoven with issues in Biostimulation, Bioremediation and Environmental engineering.

- Introduction to Geostatistics: Applications in Hydrogeology (725 citations)
- A geostatistical approach to the inverse problem in groundwater modeling (steady state) and one‐dimensional simulations (442 citations)
- Quasi‐Linear Geostatistical Theory for Inversing (408 citations)

Peter K. Kitanidis mainly investigates Mathematical optimization, Aquifer, Applied mathematics, Hydrology and Inverse problem. His studies examine the connections between Mathematical optimization and genetics, as well as such issues in Kalman filter, with regards to Data assimilation. His Aquifer study frequently links to adjacent areas such as Soil science.

Peter K. Kitanidis studied Applied mathematics and Covariance that intersect with Covariance matrix. His Hydrology research incorporates elements of Mass transfer, Dilution and Flow. His studies deal with areas such as Uncertainty quantification, Algorithm, Inverse and Bayesian probability as well as Inverse problem.

- Mathematical optimization (16.46%)
- Aquifer (15.19%)
- Applied mathematics (12.66%)

- Aquifer (15.19%)
- Inverse problem (11.39%)
- Algorithm (7.91%)

Peter K. Kitanidis mostly deals with Aquifer, Inverse problem, Algorithm, Hydraulic tomography and Applied mathematics. His work on Groundwater recharge as part of general Aquifer study is frequently linked to Field, bridging the gap between disciplines. Peter K. Kitanidis combines subjects such as Uncertainty quantification, Inverse, Covariance matrix, Jacobian matrix and determinant and Hierarchical matrix with his study of Inverse problem.

His Covariance matrix study also includes

- Covariance that connect with fields like Mathematical optimization,
- Hessian matrix that connect with fields like Covariance function. Peter K. Kitanidis has researched Applied mathematics in several fields, including Geostatistics, Krylov subspace and Square root. His study looks at the relationship between Geotechnical engineering and fields such as Mechanics, as well as how they intersect with chemical problems.

- Experimental Investigation and Pore-Scale Modeling Interpretation of Compound-Specific Transverse Dispersion in Porous Media (78 citations)
- Hydraulic Conductivity Imaging from 3-D Transient Hydraulic Tomography at Several Pumping/Observation Densities (76 citations)
- Aquifer Heterogeneity Characterization with Oscillatory Pumping: Sensitivity Analysis and Imaging Potential (76 citations)

- Statistics
- Thermodynamics
- Oxygen

His primary areas of study are Inverse problem, Aquifer, Algorithm, Hydraulic tomography and Applied mathematics. His studies in Inverse problem integrate themes in fields like Uncertainty quantification, Covariance matrix, Hierarchical matrix and Inverse. His work carried out in the field of Aquifer brings together such families of science as Hydraulic conductivity and Current.

His Algorithm study combines topics from a wide range of disciplines, such as Kalman filter, Mathematical optimization, Numerical linear algebra and Ensemble Kalman filter. His Applied mathematics research incorporates elements of Singular value, Discrete mathematics, Krylov subspace and Square root. His biological study spans a wide range of topics, including Mechanics and Steady state.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Introduction to Geostatistics: Applications in Hydrogeology

P. K. Kitanidis.

**(1997)**

1133 Citations

A geostatistical approach to the inverse problem in groundwater modeling (steady state) and one‐dimensional simulations

Peter K. Kitanidis;Efstratios G. Vomvoris.

Water Resources Research **(1983)**

682 Citations

Quasi‐Linear Geostatistical Theory for Inversing

Peter K. Kitanidis.

Water Resources Research **(1995)**

638 Citations

Analysis of the Spatial Structure of Properties of Selected Aquifers

Robert J. Hoeksema;Peter K. Kitanidis.

Water Resources Research **(1985)**

573 Citations

Unbiased minimum-variance linear state estimation

Peter K. Kitanidis.

Automatica **(1987)**

520 Citations

An Application of the Geostatistical Approach to the Inverse Problem in Two-Dimensional Groundwater Modeling

Robert J. Hoeksema;Peter K. Kitanidis.

Water Resources Research **(1984)**

462 Citations

Parameter Uncertainty in Estimation of Spatial Functions: Bayesian Analysis

Peter K. Kitanidis.

Water Resources Research **(1986)**

445 Citations

The concept of the Dilution Index

Peter K. Kitanidis.

Water Resources Research **(1994)**

437 Citations

Real‐time forecasting with a conceptual hydrologic model: 2. Applications and results

Peter K. Kitanidis;Rafael L. Bras.

Water Resources Research **(1980)**

427 Citations

Statistical estimation of polynomial generalized covariance functions and hydrologic applications

Peter K. Kitanidis.

Water Resources Research **(1983)**

371 Citations

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