World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
11929
World Ranking
7269
National Ranking
2588

Matthew Newman 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 Matthew Newman 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: 107 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Matthew Newman 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 Matthew Newman 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: 42 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Matthew Newman is affiliated with the National Oceanic and Atmospheric Administration in the United States. Their research focuses primarily on Earth and Planetary Sciences, with significant contributions to Environmental Science. Their work spans several subfields including Global and Planetary Change, Atmospheric Science, and Oceanography.

The scientist's scholarly output includes a substantial emphasis on topics such as Climate variability and models, Meteorological Phenomena and Simulations, and Oceanographic and Atmospheric Processes. Additional areas of research include Tropical and Extratropical Cyclones Research, Atmospheric and Environmental Gas Dynamics, Marine and coastal ecosystems, and Hydrology and Drought Analysis.

Frequent collaborators in their research endeavors include Antonietta Capotondi, Emanuele Di Lorenzo, Tongtong Xu, Sang-Ik Shin, and Andrew Hoell. These collaborations have produced a body of work published in notable venues.

Matthew Newman's publications have appeared frequently in journals and platforms such as:

  • Geophysical Research Letters
  • Journal of Climate
  • Bulletin of the American Meteorological Society
  • arXiv (Cornell University)
  • npj Climate and Atmospheric Science

Recent papers authored or co-authored by Matthew Newman include:

  • "Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond" (2020), Bulletin of the American Meteorological Society
  • "Decadal climate variability in the tropical Pacific: Characteristics, causes, predictability, and prospects" (2021), Science
  • "An increase in marine heatwaves without significant changes in surface ocean temperature variability" (2022), Nature Communications
  • "Modes and Mechanisms of Pacific Decadal-Scale Variability" (2022), Annual Review of Marine Science
  • "ENSO Prediction" (2020), Geophysical monograph

Best Publications

  • The Atmospheric Bridge: The Influence of ENSO Teleconnections on Air-Sea Interaction over the Global Oceans

    Michael A. Alexander;Ileana Bladé;Matthew Newman;John R. Lanzante

  • The Pacific Decadal Oscillation, Revisited

    Matthew Newman;Matthew Newman;Michael A. Alexander;Toby R. Ault;Kim M. Cobb

  • Understanding ENSO Diversity

    Antonietta Capotondi;Andrew T. Wittenberg;Matthew Newman;Emanuele Di Lorenzo

  • ENSO-Forced Variability of the Pacific Decadal Oscillation

    Matthew Newman;Gilbert P. Compo;Michael A. Alexander

  • A verification framework for interannual-to-decadal predictions experiments

    L. Goddard;A. Kumar;A. Solomon;D. Smith

  • Windows of opportunity for skillful forecasts subseasonal to seasonal and beyond

    Annarita Mariotti;Cory Baggett;Elizabeth A. Barnes;Emily Becker

  • Stratiform Precipitation, Vertical Heating Profiles, and the Madden Julian Oscillation

    Jialin Lin;Brian Mapes;Minghua Zhang;Matthew Newman

  • Natural variation in ENSO flavors

    Matthew Newman;Matthew Newman;Sang-Ik Shin;Michael A. Alexander

  • Interannual to Decadal Predictability of Tropical and North Pacific Sea Surface Temperatures

    Matthew Newman

  • Reconciling disparate twentieth-century Indo-Pacific ocean temperature trends in the instrumental record

    Amy Solomon;Matthew Newman

  • Medium-Range Forecast Errors Associated with Active Episodes of theMadden–Julian Oscillation

    Harry H. Hendon;Brant Liebmann;Matthew Newman;John D. Glick

  • Decadal climate variability in the tropical Pacific: Characteristics, causes, predictability, and prospects.

    Scott Power;Scott Power;Matthieu Lengaigne;Antonietta Capotondi;Antonietta Capotondi;Myriam Khodri

  • DISTINGUISHING THE ROLES OF NATURAL AND ANTHROPOGENICALLY FORCED DECADAL CLIMATE VARIABILITY Implications for Prediction

    Amy Solomon;Lisa M. Goddard;Arun Kumar;James Carton

  • Relative Contributions of Synoptic and Low-Frequency Eddies to Time-Mean Atmospheric Moisture Transport, Including the Role of Atmospheric Rivers

    Matthew Newman;George N. Kiladis;Klaus M. Weickmann;F. Martin Ralph

  • Multiplicative Noise and Non-Gaussianity: A Paradigm for Atmospheric Regimes?

    Philip Sura;Matthew Newman;Cécile Penland;Prashant Sardeshmukh

  • A Linear Model of Wintertime Low-Frequency Variability. Part I: Formulation and Forecast Skill

    Christopher R. Winkler;Matthew Newman;Prashant D. Sardeshmukh

  • A caveat concerning singular value decomposition

    Matthew Newman;Prashant D. Sardeshmukh

  • Investigating the Local Atmospheric Response to a Realistic Shift in the Oyashio Sea Surface Temperature Front

    Dimitry Smirnov;Matthew Newman;Michael A. Alexander;Young-Oh Kwon

  • An empirical model of tropical ocean dynamics

    Matthew Newman;Matthew Newman;Michael A. Alexander;James D. Scott;James D. Scott

  • Zonal winds in the middle atmosphere of Venus from Pioneer Venus radio occultation data

    Matthew Newman;Gerald Schubert;Arvydas J. Kliore;Indu R. Patel

  • An Empirical Benchmark for Decadal Forecasts of Global Surface Temperature Anomalies

    Matthew Newman

  • The Impact of the Annual Cycle on the North Pacific/North American Response to Remote Low-Frequency Forcing

    Matthew Newman;Prashant D. Sardeshmukh

Frequent Co-Authors

Michael A. Alexander
Michael A. Alexander National Oceanic and Atmospheric Administration
Prashant D. Sardeshmukh
Prashant D. Sardeshmukh National Oceanic and Atmospheric Administration
Antonietta Capotondi
Antonietta Capotondi National Oceanic and Atmospheric Administration
James D. Scott
James D. Scott National Oceanic and Atmospheric Administration
Andrew T. Wittenberg
Andrew T. Wittenberg Geophysical Fluid Dynamics Laboratory
Ben Livneh
Ben Livneh University of Colorado Boulder
Emanuele Di Lorenzo
Emanuele Di Lorenzo Georgia Institute of Technology
Clara Deser
Clara Deser National Center for Atmospheric Research
Toby R. Ault
Toby R. Ault Cornell University
Ben P. Kirtman
Ben P. Kirtman University of Miami

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