World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7497
World Ranking
6908
National Ranking
435

Nancy Nichols 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 Nancy Nichols 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: 203 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Nancy Nichols 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 Nancy Nichols 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: 41 D-Index — 31st percentile

31% 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

  • 2014 - SIAM Fellow For contributions to the numerical analysis of systems, control, and data assimilation.

Overview

Nancy Nichols is affiliated with the University of Reading in the United Kingdom. Their research contributions primarily focus on environmental science and earth and planetary sciences, with a strong emphasis on subfields such as global and planetary change, atmospheric science, automotive engineering, aerospace engineering, and water science and technology.

The main topics of their work include meteorological phenomena and simulations, climate variability and models, advanced aircraft design and technologies, vehicle emissions and performance, air traffic management and optimization, hydrology and watershed management studies, and atmospheric and environmental gas dynamics.

Among recent papers authored or co-authored by Nichols are:

  • A new multivariable benchmark for Last Glacial Maximum climate simulations, 2020, Climate of the Past
  • Reducing transatlantic flight emissions by fuel-optimised routing, 2020, Environmental Research Letters
  • Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic-hydraulic forecasting model: a proof of concept, 2021, Hydrology and Earth System Sciences
  • The role of cross-domain error correlations in strongly coupled 4D-Var atmosphere-ocean data assimilation, 2020, Quarterly Journal of the Royal Meteorological Society
  • A Tempered Particle Filter to Enhance the Assimilation of SAR-Derived Flood Extent Maps Into Flood Forecasting Models, 2022, Water Resources Research

Frequent co-authors in Nichols' publications include Amos S. Lawless, Cathie A. Wells, Paul D. Williams, Dante Kalise, and Ian Poll.

Nicols' work has appeared repeatedly in venues such as the Quarterly Journal of the Royal Meteorological Society, arXiv (Cornell University), Numerical Linear Algebra with Applications, Climate of the Past, and Environmental Research Letters.

In recognition of contributions to numerical analysis in the areas of systems, control, and data assimilation, Nichols was named a SIAM Fellow in 2014.

Best Publications

  • Robust pole assignment in linear state feedback

    J Kautsky;Nancy Nichols;P M Van Dooren

  • On the representation error in data assimilation

    T. Janjic;N. Bormann;M. Bocquet;J. A. Carton

  • Approximate Gauss-Newton Methods for Nonlinear Least Squares Problems

    S. Gratton;A. S. Lawless;N. K. Nichols

  • Numerical computation of an analytic singular value decomposition of a matrix valued function

    Angelika Bunse-Gerstner;Ralph Byers;Volker Mehrmann;Nancy K. Nichols

  • Unbiased ensemble square root filters

    David M. Livings;Sarah L. Dance;Nancy K. Nichols

  • Eigenstructure assignment in descriptor systems

    L. Fletcher;J. Kautsky;N. Nichols

  • Regularization of descriptor systems by derivative and proportional state feedback

    Angelika Bunse-Gerstner;Volker Mehrmann;Nancy K. Nichols

  • A singular vector perspective of 4D‐Var: Filtering and interpolation

    Christine Johnson;Brian J. Hoskins;Nancy K. Nichols

  • Assimilation of data into an ocean model with systematic errors near the equator

    M. J. Bell;M. J. Martin;N. K. Nichols

  • Duality, observability, and controllability for linear time-varying descriptor systems

    Stephen L. Campbell;Nancy K. Nichols;William J. Terrell

  • Correlated observation errors in data assimilation

    L. M. Stewart;S. L. Dance;N. K. Nichols

  • Robust eigenstructure assignment in quadratic matrix polynomials: Nonsingular case

    Nancy K. Nichols;Jaroslav Kautsky

  • Feedback design for regularizing descriptor systems

    Angelika Bunse-Gerstner;Ralph Byers;Ralph Byers;Volker Mehrmann;Volker Mehrmann;Volker Mehrmann;Nancy K. Nichols;Nancy K. Nichols

  • Robust pole assignment in singular control systems

    J. Kautsky;Nancy Nichols;E.K.-W. Chu

  • On the Convergence of Two-Stage Iterative Processes for Solving Linear Equations

    Nancy K. Nichols

  • Analytic Benchmark Solutions for Open-Channel Flows

    I. MacDonald;Michael Baines;Nancy Nichols;P. G. Samuels

  • Data assimilation with correlated observation errors: experiments with a 1-D shallow water model

    Laura M. Stewart;Sarah L. Dance;Nancy K. Nichols

  • Regularization of descriptor systems by output feedback

    A. Bunse-Gerstner;V. Mehrmann;N.K. Nichols

  • Equidistributing Meshes with Constraints

    J. Kautsky;N. K. Nichols

  • Estimating interchannel observation-error correlations for IASI radiance data in the Met Office system†

    L. M. Stewart;Sarah L. Dance;Nancy K. Nichols;J. R. Eyre

  • Adjoint Methods in Data Assimilation for Estimating Model Error

    A. K. Griffith;Nancy Nichols

Frequent Co-Authors

Volker Mehrmann
Volker Mehrmann Technical University of Berlin
David C. Mason
David C. Mason University of Reading
Matthew Martin
Matthew Martin Met Office
Sandy P. Harrison
Sandy P. Harrison University of Reading
Brian J. Hoskins
Brian J. Hoskins University of Reading
Ralph Byers
Ralph Byers University of Kansas
Tristan Quaife
Tristan Quaife University of Reading
Guo-Ping Liu
Guo-Ping Liu Southern University of Science and Technology
Chris Budd
Chris Budd University of Bath
Francisco J. Doblas-Reyes
Francisco J. Doblas-Reyes Barcelona Supercomputing Center

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