World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
68
Citations
44326
World Ranking
1832
National Ranking
146

Frederic Vitart 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 Frederic Vitart 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: 219 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Frederic Vitart 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 Frederic Vitart 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: 68 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Frederic Vitart is affiliated with the European Centre for Medium-Range Weather Forecasts in the United Kingdom. Their research spans primarily across Earth and Planetary Sciences, with a focus on Environmental Science. Within these disciplines, their work is concentrated on several key subfields including Atmospheric Science, Global and Planetary Change, Oceanography, Environmental Engineering, and Management, Monitoring, Policy and Law.

The scientist's main research topics cover multiple aspects of atmospheric and climate sciences. These include:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Tropical and Extratropical Cyclones Research
  • Oceanographic and Atmospheric Processes
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric Ozone and Climate
  • Cryospheric studies and observations

Frederic Vitart has contributed extensively to peer-reviewed literature, with frequent publications appearing in well-established journals. Their publication venues include:

  • Bulletin of the American Meteorological Society
  • Quarterly Journal of the Royal Meteorological Society
  • Geophysical Research Letters
  • Climate Dynamics
  • Journal of Geophysical Research Atmospheres

Some recent publications authored or co-authored by Vitart are:

  • Current and Emerging Developments in Subseasonal to Decadal Prediction, 2020, Bulletin of the American Meteorological Society
  • A Baseline for Global Weather and Climate Simulations at 1 km Resolution, 2020, Journal of Advances in Modeling Earth Systems
  • The 2021 Western North American Heatwave and Its Subseasonal Predictions, 2022, Geophysical Research Letters
  • Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe, 2022, Bulletin of the American Meteorological Society
  • Subseasonal to Seasonal Prediction of Weather to Climate with Application to Tropical Cyclones, 2020, Journal of Geophysical Research Atmospheres

Frederic Vitart collaborates frequently with other researchers in the field. Some of their regular co-authors include:

  • Magdalena Balmaseda
  • Jing Yang
  • Christian M. Grams
  • Yuhei Takaya
  • Constantin Ardilouze

Best Publications

  • The ERA-Interim reanalysis: configuration and performance of the data assimilation system

    D. P. Dee;S. M. Uppala;A. J. Simmons;Paul Berrisford

  • ERA-20C: An Atmospheric Reanalysis of the Twentieth Century

    Paul Poli;Hans Hersbach;Dick P. Dee;Paul Berrisford

  • The Subseasonal to Seasonal (S2S) Prediction Project Database

    F. Vitart;C. Ardilouze;A. Bonet;A. Brookshaw

  • Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales

    Peter Bechtold;Martin Köhler;Thomas Jung;Francisco Doblas-Reyes

  • ERA-Interim/Land: a global land surface reanalysis data set

    G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta

  • Contribution of land surface initialization to subseasonal forecast skill: first results from a multi-model experiment.

    R. D. Koster;S. P.P. Mahanama;S. P.P. Mahanama;T.J. Yamada;T.J. Yamada;T.J. Yamada;Gianpaolo Balsamo

  • MJO Simulation Diagnostics

    D Waliser;K Sperber;H Hendon;D Kim

  • Potential applications of subseasonal-to-seasonal (S2S) predictions

    Christopher J. White;Christopher J. White;Henrik Carlsen;Andrew W. Robertson;Richard J.T. Klein

  • The sub-seasonal to seasonal prediction project (S2S) and the prediction of extreme events

    Frédéric Vitart;Andrew W. Robertson

  • The Second Phase of the Global Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill

    R. D. Koster;S. P. P. Mahanama;S. P. P. Mahanama;S. P. P. Mahanama;T. J. Yamada;T. J. Yamada;T. J. Yamada;Gianpaolo Balsamo

  • Evolution of ECMWF sub‐seasonal forecast skill scores

    Frédéric Vitart

  • Madden-Julian Oscillation prediction and teleconnections in the S2S database

    Frédéric Vitart

  • Simulation of the Madden– Julian Oscillation and its teleconnections in the ECMWF forecast system

    Frédéric Vitart;Franco Molteni

  • Current and emerging developments in subseasonal to decadal prediction

    William J. Merryfield;Johanna Baehr;Lauriane Batté;Emily J. Becker

  • Stochastic representations of model uncertainties at ECMWF: state of the art and future vision

    Martin Leutbecher;Sarah‐Jane Lock;Pirkka Ollinaho;Simon T. K. Lang

  • The role of the ocean in the Madden-Julian Oscillation : Implications for MJO prediction

    S. J. Woolnough;F. Vitart;M. A. Balmaseda

  • Simulation of Interannual Variability of Tropical Storm Frequency in an Ensemble of GCM Integrations.

    F. Vitart;J. L. Anderson;W. F. Stern

  • A Framework for Assessing Operational Madden–Julian Oscillation Forecasts

    J. Gottschalck;M. Wheeler;K. Weickmann;F. Vitart

  • The new ECMWF VAREPS (Variable Resolution Ensemble Prediction System)

    Roberto Buizza;Jean‐Raymond Bidlot;Nils Wedi;Manuel Fuentes

  • Cracking the MJO nut

    Chidong Zhang;Jon Gottschalck;Eric D. Maloney;Mitchell W. Moncrieff

  • Improving and Promoting Subseasonal to Seasonal Prediction

    Andrew W. Robertson;Arun Kumar;Malaquias Peña;Frederic Vitart

Frequent Co-Authors

Duane E. Waliser
Duane E. Waliser Jet Propulsion Lab
Magdalena Balmaseda
Magdalena Balmaseda European Centre for Medium-Range Weather Forecasts
Adam H. Sobel
Adam H. Sobel Lamont-Doherty Earth Observatory
Franco Molteni
Franco Molteni European Centre for Medium-Range Weather Forecasts
Antje Weisheimer
Antje Weisheimer University of Oxford
Timothy N. Stockdale
Timothy N. Stockdale European Centre for Medium-Range Weather Forecasts
Gianpaolo Balsamo
Gianpaolo Balsamo European Centre for Medium-Range Weather Forecasts
Andrew W. Robertson
Andrew W. Robertson Columbia University
Matthew C. Wheeler
Matthew C. Wheeler Bureau of Meteorology
Bin Guan
Bin Guan California Institute of Technology

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