World's Best Scientists 2026 revealed!
Peter K. Kitanidis

Peter K. Kitanidis

D-Index & Metrics

Engineering and Technology

D-Index
75
Citations
19169
World Ranking
755
National Ranking
259

Peter K. Kitanidis publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Peter K. Kitanidis sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 320 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Peter K. Kitanidis D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Peter K. Kitanidis sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 75 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2001 - Fellow of American Geophysical Union (AGU)

Overview

Peter K. Kitanidis is affiliated with Stanford University in the United States. Their research primarily spans environmental science and engineering, with significant contributions in ocean engineering, environmental engineering, artificial intelligence, water science and technology, and ecology.

The main topics of research covered by Kitanidis include groundwater flow and contamination studies, reservoir engineering and simulation methods, hydrology and sediment transport processes, flood risk assessment and management, hydrology and watershed management studies, evacuation and crowd dynamics, and hydraulic fracturing and reservoir analysis.

Frequent coauthors with Kitanidis include Jonghyun Lee, Matthew W. Farthing, Eric Darve, Tyler Hesser, and Simon Meunier.

Kitanidis has published multiple papers in various academic venues. Selected recent papers are:

  • Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother, 2021, Water Resources Research
  • Integrating deep learning-based data assimilation and hydrogeophysical data for improved monitoring of DNAPL source zones during remediation, 2021, Journal of Hydrology
  • Improved Characterization of DNAPL Source Zones via Sequential Hydrogeophysical Inversion of Hydraulic-Head, Self-Potential and Partitioning Tracer Data, 2020, Water Resources Research
  • Deep learning technique for fast inference of large-scale riverine bathymetry, 2020, Advances in Water Resources
  • Sensitivity Analysis of Photovoltaic Pumping Systems for Domestic Water Supply, 2020, IEEE Transactions on Industry Applications

Kitanidis has published frequently in venues including arXiv (Cornell University), Water Resources Research, Research Square, Advances in Water Resources, and Zenodo (CERN European Organization for Nuclear Research).

In recognition of their contributions, Kitanidis was named Fellow of the American Geophysical Union (AGU) in 2001.

Best Publications

  • Introduction to Geostatistics: Applications in Hydrogeology

    P. K. Kitanidis

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

    Peter K. Kitanidis;Efstratios G. Vomvoris

  • Quasi‐Linear Geostatistical Theory for Inversing

    Peter K. Kitanidis

  • Unbiased minimum-variance linear state estimation

    Peter K. Kitanidis

  • The concept of the Dilution Index

    Peter K. Kitanidis

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

    Robert J. Hoeksema;Peter K. Kitanidis

  • Parameter Uncertainty in Estimation of Spatial Functions: Bayesian Analysis

    Peter K. Kitanidis

  • A comparison of seven geostatistically based inverse approaches to estimate transmissivities for modeling advective transport by groundwater flow

    D. A. Zimmerman;G. de Marsily;G. de Marsily;C. A. Gotway;M. G. Marietta

  • Pilot-scale in situ bioremedation of uranium in a highly contaminated aquifer. 2. Reduction of u(VI) and geochemical control of u(VI) bioavailability.

    Wei-Min Wu;Jack Carley;Terry Gentry;Matthew A. Ginder-Vogel

  • Prediction by the method of moments of transport in a heterogeneous formation

    Peter K. Kitanidis

  • Real‐time forecasting with a conceptual hydrologic model: 1. Analysis of uncertainty

    Peter K. Kitanidis;Rafael L. Bras

  • A geostatistical approach to contaminant source identification

    Mark F. Snodgrass;Peter K. Kitanidis

  • Determination of the effective hydraulic conductivity for heterogeneous porous media using a numerical spectral approach: 1. Method

    Bruce B. Dykaar;Peter K. Kitanidis

  • In situ bioreduction of uranium (VI) to submicromolar levels and reoxidation by dissolved oxygen.

    Weimin Wu;Jack M Carley;Jian Luo;Matthew A. Ginder-Vogel

  • Maximum likelihood parameter estimation of hydrologic spatial processes by the Gauss-Newton method

    Peter K. Kitanidis;Robert W. Lane

  • Characterization of mixing and dilution in heterogeneous aquifers by means of local temporal moments

    Olaf A. Cirpka;Peter K. Kitanidis

  • Estimation of historical groundwater contaminant distribution using the adjoint state method applied to geostatistical inverse modeling

    Anna M. Michalak;Anna M. Michalak;Peter K. Kitanidis

  • Pilot-scale in situ bioremediation of uranium in a highly contaminated aquifer. 1. Conditioning of a treatment zone.

    Wei-Min Wu;Jack Carley;Michael Fienen;Tonia Mehlhorn

  • In Situ BTEX Biotransformation under Enhanced Nitrate- and Sulfate-Reducing Conditions

    M. Reinhard;S. Shang;P. K. Kitanidis;E. Orwin

  • Analysis of one‐dimensional solute transport through porous media with spatially variable retardation factor

    Constantinos V. Chrysikopoulos;Peter K. Kitanidis;Paul V. Roberts

Frequent Co-Authors

Craig S. Criddle
Craig S. Criddle Stanford University
Olaf A. Cirpka
Olaf A. Cirpka University of Tübingen
Eric Darve
Eric Darve Stanford University
Wei-Min Wu
Wei-Min Wu Stanford University
Philip M. Jardine
Philip M. Jardine University of Tennessee at Knoxville
Massimo Rolle
Massimo Rolle Technical University of Darmstadt
David B. Watson
David B. Watson Oak Ridge National Laboratory
Warren Barrash
Warren Barrash Boise State University
Perry L. McCarty
Perry L. McCarty Stanford University
Baohua Gu
Baohua Gu Oak Ridge National Laboratory

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