World's Best Scientists 2026 revealed!
Graeme Kelly

Graeme Kelly

D-Index & Metrics

Environmental Sciences

D-Index
35
Citations
13678
World Ranking
9213
National Ranking
683

Graeme Kelly publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Graeme Kelly sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 55 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Graeme Kelly D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Graeme Kelly sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Graeme Kelly is affiliated with the Met Office in the United Kingdom. Their research spans multiple fields including Medicine, Earth and Planetary Sciences, and Engineering. Within these broader disciplines, their work focuses on subfields such as Atmospheric Science, Biomedical Engineering, Neurology, Oncology, and Global and Planetary Change.

The topics that dominate their research include 3D Printing in Biomedical Research, Neuroblastoma Research and Treatments, Cancer Cells and Metastasis, Meteorological Phenomena and Simulations, Climate variability and models, and Precipitation Measurement and Analysis.

Kelly has published research in several academic venues, most notably the Journal of Visualized Experiments and the Quarterly Journal of the Royal Meteorological Society. Their recent papers include:

  • SINGV-DA: A data assimilation system for convective-scale numerical weather prediction over Singapore, 2020, Quarterly Journal of the Royal Meteorological Society
  • Three-dimensional In Vitro Biomimetic Model of Neuroblastoma using Collagen-based Scaffolds, 2021, Journal of Visualized Experiments
  • Three-dimensional In Vitro Biomimetic Model of Neuroblastoma using Collagen-based Scaffolds, 2021, Journal of Visualized Experiments

Kelly frequently collaborates with several co-authors, reflecting interdisciplinary work. Among the most frequent co-authors are Ciara M Gallagher, Fergal J. O'Brien, Olga Piskareva, B. C. P. Heng, and Robert N. Tubbs. These collaborations contribute to research published primarily in the fields of medicine and atmospheric sciences.

Best Publications

  • The ERA‐40 re‐analysis

    S. M. Uppala;P. W. Kållberg;Adrian J. Simmons;U. Andrae

  • A satellite radiance-bias correction scheme for data assimilation

    B. A. Harris;G. Kelly

  • Assimilation of TOVS radiance information through one-dimensional variational analysis

    J. R. Eyre;G. A. Kelly;A. P. McNally;E. Andersson

  • An improved general fast radiative transfer model for the assimilation of radiance observations

    Marco Matricardi;Frederic Chevallier;Graeme Kelly;Jean-Noel Thépaut

  • Use of cloud‐cleared radiances in three/four‐dimensional variational data assimilation

    E. Andersson;J. Pailleux;J.-N. Thépaut;J. R. Eyre

  • The assimilation of AIRS radiance data at ECMWF

    A. P. Mcnally;P. D. Watts;J. A. Smith;R. Engelen

  • Observing-system experiments in the ECMWF 4D-Var data assimilation system

    F. Bouttier;G. Kelly

  • The ecmwf operational implementation of four-dimensional variational assimilation. III: Experimental results and diagnostics with operational configuration

    E. Klinker;F. Rabier;G. Kelly;J.‐F. Mahfouf

  • Identification of anthropogenic climate change using a second-generation reanalysis

    Benjamin D. Santer;Tom M. L. Wigley;Adrian J. Simmons;Per W. Kållberg

  • The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). III: Experimental results

    Erik Andersson;Jan Haseler;Per Undén;Philippe Courtier

  • Assimilation and Modeling of the Atmospheric Hydrological Cycle in the ECMWF Forecasting System

    Erik Andersson;Peter Bauer;Anton Beljaars;Frederic Chevallier

  • The Spatial Structure of Observation Errors in Atmospheric Motion Vectors from Geostationary Satellite Data

    Niels Bormann;Sami Saarinen;Graeme Kelly;Jean-Noël Thépaut

  • ECMWF Analyses and Forecasts of Stratospheric Winter Polar Vortex Breakup: September 2002 in the Southern Hemisphere and Related Events

    Adrian Simmons;Mariano Hortal;Graeme Kelly;Anthony McNally

  • On the equivalence between Kalman smoothing and weak‐constraint four‐dimensional variational data assimilation

    M. Fisher;M. Leutbecher;G. A. Kelly

  • Analysis and forecast impact of the main humidity observing systems

    E. Andersson;E. Hólm;P. Bauer;A. Beljaars

  • The Assimilation of SSMIS Radiances in Numerical Weather Prediction Models

    W. Bell;B. Candy;N. Atkinson;F. Hilton

  • Global Observing System Experiments on Operational Statistical Retrievals of Satellite Sounding Data

    E. Andersson;A. Hollingsworth;G. Kelly;P. Lönnberg

  • The value of observations. I: Data denial experiments for the Atlantic and the Pacific

    Graeme Kelly;Jean-Noël Thépaut;Roberto Buizza;Carla Cardinali

  • Assimilation of Meteosat radiance data within the 4D-Var system at ECMWF: Assimilation experiments and forecast impact

    Christina Köpken;Graeme Kelly;Jean-Noël Thépaut

  • The value of observations. II: The value of observations located in singular‐vector‐based target areas

    Roberto Buizza;Carla Cardinali;Graeme Kelly;Jean-Noël Thépaut

Frequent Co-Authors

F. Chevallier
F. Chevallier University of Paris-Saclay
Adrian Simmons
Adrian Simmons European Centre for Medium-Range Weather Forecasts
Peter Bauer
Peter Bauer European Centre for Medium-Range Weather Forecasts
Anton Beljaars
Anton Beljaars European Centre for Medium-Range Weather Forecasts
Roberto Buizza
Roberto Buizza Sant'Anna School of Advanced Studies
Peter A. E. M. Janssen
Peter A. E. M. Janssen European Centre for Medium-Range Weather Forecasts
Jean-François Mahfouf
Jean-François Mahfouf Federal University of Toulouse Midi-Pyrénées
Adrian M. Tompkins
Adrian M. Tompkins International Centre for Theoretical Physics
Jean-Jacques Morcrette
Jean-Jacques Morcrette European Centre for Medium-Range Weather Forecasts
Christian Jakob
Christian Jakob Monash University

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