World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
39
Citations
5033
World Ranking
8435
National Ranking
313

Oscar Alves 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 Oscar Alves 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 91 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Oscar Alves 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 Oscar Alves 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Oscar Alves is affiliated with the Bureau of Meteorology in Australia. Their research focuses broadly on Earth and Planetary Sciences and Environmental Science, with particular attention to subfields such as Global and Planetary Change, Oceanography, and Atmospheric Science. They have also contributed to areas including Cardiology and Cardiovascular Medicine, and Radiology, Nuclear Medicine and Imaging.

The main topics covered by their work include climate variability and models, meteorological phenomena and simulations, oceanographic and atmospheric processes, geophysics and gravity measurements, atmospheric and environmental gas dynamics, marine and coastal ecosystems, as well as hydrology and drought analysis.

Oscar Alves has published multiple papers, with recent research articles including:

  • ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system (2022), Journal of Southern Hemisphere Earth System Science
  • Sub-seasonal to seasonal prediction of rainfall extremes in Australia (2020), Quarterly Journal of the Royal Meteorological Society
  • Variability of ENSO Forecast Skill in 2-Year Global Reforecasts Over the 20th Century (2022), Geophysical Research Letters
  • Contrasting El Niño-La Niña Predictability and Prediction Skill in 2-Year Reforecasts of the Twentieth Century (2022), Journal of Climate
  • Developing an Observing Air-Sea Interactions Strategy (OASIS) for the global ocean (2022), ICES Journal of Marine Science

Frequently publishing venues for their work include:

  • Journal of Southern Hemisphere Earth System Science
  • Quarterly Journal of the Royal Meteorological Society
  • Geophysical Research Letters
  • Journal of Climate
  • ICES Journal of Marine Science

Oscar Alves collaborates regularly with a number of co-authors who contribute across various projects. Frequent collaborators include Harry H. Hendon, Debra Hudson, Andrew G. Marshall, Eun-Pa Lim, and Xiaobing Zhou.

Best Publications

  • Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

    Bin Wang;June Yi Lee;In Sik Kang;J. Shukla

  • The Ocean Reanalyses Intercomparison Project (ORA-IP)

    M. A. Balmaseda;F. Hernandez;A. Storto;M. D. Palmer

  • Prediction of the Madden–Julian oscillation with the POAMA dynamical prediction system

    Harun A. Rashid;Harun A. Rashid;Harry H. Hendon;Matthew C. Wheeler;Oscar Alves

  • Seasonal forecasting of tuna habitat for dynamic spatial management

    Alistair J. Hobday;Jason R. Hartog;Claire M. Spillman;Oscar Alves

  • An Ensemble Ocean Data Assimilation System for Seasonal Prediction

    Yonghong Yin;Oscar Alves;Peter R. Oke

  • Prospects for predicting two flavors of El Niño

    Harry H. Hendon;Eunpa Lim;Guomin Wang;Oscar Alves

  • How are seasonal prediction skills related to models’ performance on mean state and annual cycle?

    June-Yi Lee;Bin Wang;I.-S. Kang;J. Shukla

  • Improving Intraseasonal Prediction with a New Ensemble Generation Strategy

    Debra Hudson;Andrew G. Marshall;Yonghong Yin;Oscar Alves

  • How Predictable is the Indian Ocean Dipole

    Li Shi;Harry H. Hendon;Oscar Alves;Jing-Jia Luo

  • ACCESS-S1 The new Bureau of Meteorology multi-week to seasonal prediction system

    Debra Hudson;Oscar Alves;Harry H. Hendon;Eun-Pa Lim

  • Intra-seasonal drivers of extreme heat over Australia in observations and POAMA-2

    A. G. Marshall;D. Hudson;M. C. Wheeler;O. Alves

  • The impact of atmospheric initialisation on seasonal prediction of tropical Pacific SST

    Debra Hudson;Oscar Alves;Harry H. Hendon;Guomin Wang

  • Sensitivity of dynamical seasonal forecasts to ocean initial conditions

    Oscar Alves;Magdalena Alonso Balmaseda;David Anderson;Tim Stockdale

  • Inter-basin sources for two-year predictability of the multi-year La Niña event in 2010-2012.

    Jing-Jia Luo;Guoqiang Liu;Harry Hendon;Oscar Alves

  • How predictable is the northern hemisphere summer upper-tropospheric circulation?

    June-Yi Lee;Bin Wang;Q. Ding;K.-J. Ha

  • Ocean Initialization for Seasonal Forecasts

    Magdalena A. Balmaseda;Oscar J. Alves;Alberto Arribas;Toshiyuki Awaji

  • Bridging the gap between weather and seasonal forecasting: intraseasonal forecasting for Australia

    Debra Hudson;Oscar Alves;Harry H. Hendon;Andrew G. Marshall

  • The Experimental MJO Prediction Project

    Duane Waliser;Klaus Weickmann;Randall Dole;Siegfried Schubert

  • Steric sea level variability (1993–2010) in an ensemble of ocean reanalyses and objective analyses

    Andrea Storto;Simona Masina;Magdalena Balmaseda;Stéphanie Guinehut

  • Indian Ocean Variability and Its Association with ENSO in a Global Coupled Model

    Aihong Zhong;Harry H. Hendon;Oscar Alves

Frequent Co-Authors

Harry H. Hendon
Harry H. Hendon Bureau of Meteorology
Andrew G. Marshall
Andrew G. Marshall Bureau of Meteorology
Magdalena Balmaseda
Magdalena Balmaseda European Centre for Medium-Range Weather Forecasts
Tong Lee
Tong Lee California Institute of Technology
Jing-Jia Luo
Jing-Jia Luo Nanjing University of Information Science and Technology
Matthew C. Wheeler
Matthew C. Wheeler Bureau of Meteorology
Eun-Pa Lim
Eun-Pa Lim Bureau of Meteorology
Simona Masina
Simona Masina Centro Euro-Mediterraneo sui Cambiamenti Climatici
Matthew Martin
Matthew Martin Met Office
Arun Kumar
Arun Kumar National Oceanic and Atmospheric Administration

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