World's Best Scientists 2026 revealed!
Geir Evensen

Geir Evensen

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
27474
World Ranking
6350
National Ranking
34

Geir Evensen 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 Geir Evensen sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 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: 118 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: 60 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: 114 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Geir Evensen 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 Geir Evensen sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 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: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 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: 95 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: 25 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Geir Evensen is affiliated with NORCE Research in Norway, focusing primarily on fields related to engineering, earth and planetary sciences, and environmental science. Their body of work spans multiple subfields, including ocean engineering, atmospheric science, geophysics, global and planetary change, and mechanical engineering.

The scientist's research topics encompass reservoir engineering and simulation methods, meteorological phenomena and simulations, hydraulic fracturing and reservoir analysis, seismic imaging and inversion techniques, COVID-19 epidemiological studies, climate variability and models, as well as demographic modeling and climate adaptation.

Geir Evensen's recent publications include:

  • An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation, 2020, Foundations of Data Science
  • 4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method, 2020, Journal of Petroleum Science and Engineering
  • An international assessment of the COVID-19 pandemic using ensemble data assimilation, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Handling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme, 2020, SPE Journal
  • Formulating the history matching problem with consistent error statistics, 2021, Computational Geosciences

Frequent co-authors in Geir Evensen's work include Femke C. Vossepoel, Peter Jan van Leeuwen, Christian Sampson, Rafael J. de Moraes, and Javier Amezcua.

Publication venues where they have contributed multiple works include Foundations of Data Science, Monthly Weather Review, Journal of Petroleum Science and Engineering, bioRxiv (Cold Spring Harbor Laboratory), and SPE Journal.

Geir Evensen has authored a book titled Data Assimilation Fundamentals, published by Springer International Publishing in 2022, which has been cited in subsequent research.

Best Publications

  • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics

    Geir Evensen

  • The Ensemble Kalman Filter: theoretical formulation and practical implementation

    Geir Evensen

  • Data Assimilation: The Ensemble Kalman Filter

    Geir Evensen

  • Analysis Scheme in the Ensemble Kalman Filter

    Gerrit Burgers;Peter Jan van Leeuwen;Geir Evensen

  • Data assimilation in the geosciences: An overview of methods, issues, and perspectives

    Alberto Carrassi;Marc Bocquet;Laurent Bertino;Geir Evensen

  • An ensemble Kalman smoother for nonlinear dynamics

    Geir Evensen;Peter Jan van Leeuwen

  • Sampling strategies and square root analysis schemes for the EnKF

    Geir Evensen

  • The ensemble Kalman filter for combined state and parameter estimation

    G. Evensen

  • Incorporating 4D Seismic Data in Reservoir Simulation Models Using Ensemble Kalman Filter

    Jan-Arild Skjervheim;Geir Evensen;Sigurd Ivar Aanonsen;Bent Ole Ruud

  • Data assimilation and inverse methods in terms of a probabilistic formulation

    Peter Jan van Leeuwen;Geir Evensen

  • Assimilation of Geosat Altimeter Data for the Agulhas Current Using the Ensemble Kalman Filter with a Quasigeostrophic Model

    Geir Evensen;Peter Jan van Leeuwen

  • Sequential Data Assimilation Techniques in Oceanography

    Laurent Bertino;Geir Evensen;Hans Wackernagel

  • Using the Extended Kalman Filter with a Multilayer Quasi-Geostrophic Ocean Model

    Geir Evensen

  • Advanced Data Assimilation for Strongly Nonlinear Dynamics

    Geir Evensen

  • Analysis of iterative ensemble smoothers for solving inverse problems

    Geir Evensen

  • An Ensemble Smoother for Assisted History Matching

    Jan-arild Skjervheim;Geir Evensen

  • Inverse methods and data assimilation in nonlinear ocean models

    Geir Evensen

  • Using the EnKF for Assisted History Matching of a North Sea Reservoir Model

    Geir Evensen;Joakim Hove;Hilde Meisingset;Edel Reiso

  • Asynchronous data assimilation with the EnKF

    Pavel Sakov;Geir Evensen;Geir Evensen;Laurent Bertino

  • Coordinate Transformation on a Sphere Using Conformal Mapping

    M. Bentsen;G. Evensen;H. Drange;A. D. Jenkins

  • Data Assimilation in the Geosciences - An overview on methods, issues and perspectives.

    Alberto Carrassi;Marc Bocquet;Laurent Bertino;Geir Evensen

Frequent Co-Authors

Ola M. Johannessen
Ola M. Johannessen Nansen Scientific Society
Pierre Brasseur
Pierre Brasseur Grenoble Alpes University
Laurent Bertino
Laurent Bertino Bjerknes Centre for Climate Research
Jacques Verron
Jacques Verron Centre national de la recherche scientifique, CNRS
Helge Drange
Helge Drange University of Bergen
Marc Bocquet
Marc Bocquet École des Ponts ParisTech
Johnny A. Johannessen
Johnny A. Johannessen Naval Postgraduate School
Jean-Michel Brankart
Jean-Michel Brankart Institute of Environmental Geosciences
Harri Kuosa
Harri Kuosa Finnish Environment Institute
Christopher K. R. T. Jones
Christopher K. R. T. Jones University of North Carolina at Chapel Hill

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