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D-Index & Metrics

Environmental Sciences

D-Index
77
Citations
76881
World Ranking
1098
National Ranking
478

Eugenia Kalnay 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 Eugenia Kalnay 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: 331 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Eugenia Kalnay 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 Eugenia Kalnay 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: 77 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - Fellow of the American Academy of Arts and Sciences
  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2005 - Fellow of American Geophysical Union (AGU)
  • 2000 - Member of Academia Europaea
  • 1996 - Member of the National Academy of Engineering For advances in understanding atmospheric dynamics, numerical modeling, and atmospheric predictability and in the quality of U.S. operational weather forecasts.

Overview

Eugenia Kalnay was affiliated with the University of Maryland, College Park in the United States. Their research contributions focused on environmental and earth sciences with a particular emphasis on atmospheric science, climate variability, and meteorological phenomena.

Their main fields of study included:

  • Environmental Science
  • Earth and Planetary Sciences

Within these areas, their subfields of study covered:

  • Global and Planetary Change
  • Atmospheric Science
  • Environmental Engineering
  • Oceanography
  • Control and Systems Engineering

Key research topics addressed by Eugenia Kalnay's work encompassed:

  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Atmospheric and Environmental Gas Dynamics
  • Wind and Air Flow Studies
  • Plant Water Relations and Carbon Dynamics
  • Sustainability and Ecological Systems Analysis
  • Global Energy and Sustainability Research

They published in several academic venues, frequently contributing to:

  • Bulletin of the American Meteorological Society
  • Nonlinear processes in geophysics
  • National Science Review
  • Proceedings of the National Academy of Sciences
  • Geoscientific model development

Recent papers authored or co-authored by Eugenia Kalnay included:

  • Use of Observing System Simulation Experiments in the United States, 2020, Bulletin of the American Meteorological Society
  • Challenges and opportunities for modeling coupled human and natural systems, 2023, National Science Review
  • Improving the joint estimation of CO 2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0), 2022, Geoscientific model development
  • A Novel Approach to Carrying Capacity: From a priori Prescription to a posteriori Derivation Based on Underlying Mechanisms and Dynamics, 2020, Annual Review of Earth and Planetary Sciences
  • Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes, 2024, Proceedings of the National Academy of Sciences

Eugenia Kalnay collaborated frequently with several researchers, including:

  • Safa Motesharrei
  • Cheng Da
  • Derek J. Posselt
  • Jorge Rivas
  • Xubin Zeng

They also contributed to academic literature through book publications, including the title Earth System Modeling, Data Assimilation and Predictability, published by Cambridge University Press in 2024.

Throughout their career, Eugenia Kalnay received several professional recognitions such as:

  • Fellow of the American Academy of Arts and Sciences (2015)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2006)
  • Fellow of the American Geophysical Union (AGU) (2005)
  • Member of Academia Europaea (2000)
  • Member of the National Academy of Engineering (1996) for advances in understanding atmospheric dynamics, numerical modeling, atmospheric predictability, and improvements in U.S. operational weather forecasts

Best Publications

  • The NCEP/NCAR 40-Year Reanalysis Project

    E. Kalnay;M. Kanamitsu;R. Kistler;W. Collins

  • The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation

    Robert Kistler;Eugenia Kalnay;William Collins;Suranjana Saha

  • Atmospheric Modeling, Data Assimilation and Predictability

    Eugenia Kalnay

  • NORTH AMERICAN REGIONAL REANALYSIS

    Fedor Mesinger;Geoff DiMego;Eugenia Kalnay;Kenneth Mitchell

  • Impact of urbanization and land-use change on climate

    Eugenia Kalnay;Ming Cai

  • AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems

    H.H. Aumann;M.T. Chahine;C. Gautier;M.D. Goldberg

  • Ensemble Forecasting at NMC: The Generation of Perturbations

    Zoltan Toth;Eugenia Kalnay

  • Ensemble Forecasting at NCEP and the Breeding Method

    Zoltan Toth;Eugenia Kalnay

  • A local ensemble Kalman filter for atmospheric data assimilation

    Edward Ott;Brian R. Hunt;Istvan Szunyogh;Aleksey V. Zimin

  • AIRS: Improving Weather Forecasting and Providing New Data on Greenhouse Gases.

    Moustafa T. Chahine;Thomas S. Pagano;Hartmut H. Aumann;Robert Atlas

  • Local cooling and warming effects of forests based on satellite observations

    Yan Li;Maosheng Zhao;Safa Motesharrei;Qiaozhen Mu;Qiaozhen Mu

  • Human and nature dynamics (HANDY): Modeling inequality and use of resources in the collapse or sustainability of societies

    Safa Motesharrei;Jorge Rivas;Eugenia Kalnay

  • Lagged average forecasting, an alternative to Monte Carlo forecasting

    Ross N. Hoffman;Eugenia Kalnay

  • Global Numerical Weather Prediction at the National Meteorological Center

    E. Kalnay;M. Kanamitsu;W.E. Baker

  • Operational Ensemble Prediction at the National Meteorological Center: Practical Aspects

    M. Steven Tracton;Eugenia Kalnay

  • Dynamical Seasonal Prediction

    J. Shukla;J. Anderson;D. Baumhefner;Čedomir Branković

  • Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter

    Hong Li;Eugenia Kalnay;Takemasa Miyoshi

  • Four-dimensional ensemble Kalman filtering

    B. R. Hunt;E. Kalnay;Eric Kostelich;E. Ott

  • Balance and Ensemble Kalman Filter Localization Techniques

    Steven J. Greybush;Eugenia Kalnay;Takemasa Miyoshi;Kayo Ide

  • Objective Verification of the SAMEX ’98 Ensemble Forecasts

    Dingchen Hou;Eugenia Kalnay;Kelvin K. Droegemeier

  • Local low dimensionality of atmospheric dynamics.

    D. J. Patil;Brian R. Hunt;Eugenia Kalnay;James A. Yorke

  • Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis

    Souleymane Fall;Dev Niyogi;Alexander Gluhovsky;Roger A. Pielke

Frequent Co-Authors

Brian R. Hunt
Brian R. Hunt University of Maryland, College Park
Edward Ott
Edward Ott University of Maryland, College Park
Ross N. Hoffman
Ross N. Hoffman University of Maryland, College Park
James A. Yorke
James A. Yorke University of Maryland, College Park
Ning Zeng
Ning Zeng University of Maryland, College Park
Robert Atlas
Robert Atlas Atlantic Oceanographic and Meteorological Laboratory
Ming Cai
Ming Cai Florida State University
Masao Kanamitsu
Masao Kanamitsu University of California, San Diego
James A. Carton
James A. Carton University of Maryland, College Park

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