World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
13368
World Ranking
6599
National Ranking
240

Rachel M. Law 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 Rachel M. Law 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: 100 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Rachel M. Law 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 Rachel M. Law 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: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

What is she best known for?

The fields of study she is best known for:

  • Meteorology
  • Climate change
  • Climatology

Climatology, Atmospheric sciences, Biosphere, Climate change and Total Carbon Column Observing Network are her primary areas of study. Her Climatology study combines topics in areas such as Climate model, Greenhouse gas and Seasonality. Her work on Inversion expands to the thematically related Atmospheric sciences.

Her research investigates the connection between Inversion and topics such as Convection that intersect with issues in Atmospheric chemistry. Her biological study spans a wide range of topics, including Earth system science, Meteorology, Atmospheric model and Carbon cycle. Her research in Climate change intersects with topics in Current and Northern Hemisphere.

Her most cited work include:

  • Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models. (921 citations)
  • The HadGEM2-ES implementation of CMIP5 centennial simulations (610 citations)
  • A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere (385 citations)

What are the main themes of her work throughout her whole career to date?

Her primary scientific interests are in Climatology, Atmospheric sciences, Carbon cycle, Inversion and Biosphere. Her Climatology research includes elements of Snow, Climate change, Climate model and Earth system science. Her work on Troposphere is typically connected to TRACER as part of general Atmospheric sciences study, connecting several disciplines of science.

Her Carbon cycle research includes themes of Biogeochemical cycle and Global change. In general Inversion study, her work on Inverse transform sampling often relates to the realm of Latitude and Frequency data, thereby connecting several areas of interest. Rachel M. Law has included themes like Spatial distribution, Meteorology, Sink and Growth rate in her Biosphere study.

She most often published in these fields:

  • Climatology (46.67%)
  • Atmospheric sciences (36.67%)
  • Carbon cycle (20.00%)

What were the highlights of her more recent work (between 2016-2020)?

  • Coupled model intercomparison project (6.67%)
  • Earth system science (11.11%)
  • Climatology (46.67%)

In recent papers she was focusing on the following fields of study:

Rachel M. Law focuses on Coupled model intercomparison project, Earth system science, Climatology, Carbon cycle and Greenhouse gas. The Earth system science study which covers Snow that intersects with Polar amplification. Her Climatology study frequently draws connections to adjacent fields such as Biosphere model.

Her study on Oceanic carbon cycle is often connected to Convective Boundary Layer, Nitrogen cycle and Order of magnitude as part of broader study in Carbon cycle. Rachel M. Law combines subjects such as Climate change and Meteorology, Radiosonde, Numerical weather prediction with her study of Greenhouse gas. Her Uncertainty analysis research integrates issues from Sink and Atmospheric sciences.

Between 2016 and 2020, her most popular works were:

  • Carbon-concentration and carbon-climate feedbacks in CMIP6 models and their comparison to CMIP5 models (45 citations)
  • ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks (37 citations)
  • The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 1: Model description and pre-industrial simulation (35 citations)

In her most recent research, the most cited papers focused on:

  • Meteorology
  • Climate change
  • Global warming

The scientist’s investigation covers issues in Coupled model intercomparison project, Climatology, Carbon cycle, Earth system science and Polar amplification. Her Coupled model intercomparison project study frequently draws parallels with other fields, such as Atmospheric sciences. She integrates several fields in her works, including Climatology and Phytoplankton.

The Carbon cycle study combines topics in areas such as Magnitude, Dissolved organic carbon and Simulation. Her research integrates issues of Snow and Water equivalent in her study of Earth system science.

Best Publications

  • Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models.

    K. R. Gurney;R. M. Law;A. S. Denning;P. J. Rayner

  • The HadGEM2-ES implementation of CMIP5 centennial simulations

    C. D. Jones;J. K. Hughes;Nicolas Bellouin;S. C. Hardiman

  • A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere

    Y. P. Wang;R. M. Law;B. Pak

  • Historical greenhouse gas concentrations for climate modelling (CMIP6)

    Malte Meinshausen;Malte Meinshausen;Elisabeth Vogel;Alexander Nauels;Katja Lorbacher

  • TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003

    D. F. Baker;D. F. Baker;Rachel M. Law;Kevin R. Gurney;Kevin R. Gurney;Peter Rayner

  • The Australian Earth System Model: ACCESS-ESM1.5

    Tilo Ziehn;Matthew A. Chamberlain;Rachel M. Law;Andrew Lenton

  • Carbon-concentration and carbon-climate feedbacks in CMIP6 models and their comparison to CMIP5 models

    Vivek K. Arora;Anna Katavouta;Anna Katavouta;Richard G. Williams;Chris D. Jones

  • Global atmospheric carbon budget: results from an ensemble of atmospheric CO2 inversions.

    P. Peylin;R. M. Law;K. R. Gurney;F. Chevallier

  • Precision Requirements for Space-based XCO2 Data

    C. E. Miller;D. Crisp;P. L. DeCola;S. C. Olsen

  • Transcom 3 inversion intercomparison: Model mean results for the estimation of seasonal carbon sources and sinks

    Kevin Robert Gurney;Rachel M. Law;A. Scott Denning;Peter J. Rayner

  • TransCom 3 CO2 inversion intercomparison: 1. Annual mean control results and sensitivity to transport and prior flux information

    Kevin Robert Gurney;Rachel M. Law;A. Scott Denning;Peter J. Rayner

  • Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model

    Daohua Bi;Martin Dix;Simon Marsland;Simon Marsland;Siobhan O’Farrell

  • TransCom model simulations of CH4 and related species: linking transport, surface flux and chemical loss with CH4 variability in the troposphere and lower stratosphere

    P. K. Patra;S. Houweling;Maarten Krol;Maarten Krol;P. Bousquet

  • TransCom model simulations of hourly atmospheric CO2 : Analysis of synoptic-scale variations for the period 2002-2003

    P. K. Patra;R. M. Law;Wouter Peters;Wouter Peters;C. RöDenbeck

  • The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model

    E. A Kowalczyk;Y. P. Wang;R. M. Law;H. L. Davies

  • LS3MIP (v1.0) Contribution to CMIP6: The Land Surface, Snow and Soil Moisture Model Intercomparison Project Aims, Setup and Expected Outcome.

    Bart Van Den Hurk;Hyungjun Kim;Gerhard Krinner;Sonia I. Seneviratne

  • Three-dimensional transport and concentration of SF6 A model intercomparison study (TransCom 2)

    A. Scott Denning;Mark Holzer;Kevin R. Gurney;Martin Heimann

  • Sea–air CO 2 fluxes in the Southern Ocean for the period 1990–2009

    Andrew Lenton;Bronte Tilbrook;Bronte Tilbrook;R. M. Law;Dorothee C. E. Bakker

  • Variations in modeled atmospheric transport of carbon dioxide and the consequences for CO2 inversions

    R. M. Law;P. J. Rayner;A. S. Denning;D. Erickson

  • ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks

    Gerhard Krinner;Chris Derksen;Richard Essery;Mark Flanner

Frequent Co-Authors

Peter Rayner
Peter Rayner University of Melbourne
Shamil Maksyutov
Shamil Maksyutov National Institute for Environmental Studies
Prabir K. Patra
Prabir K. Patra Japan Agency for Marine-Earth Science and Technology
Maarten Krol
Maarten Krol Wageningen University & Research
Paul B. Krummel
Paul B. Krummel Commonwealth Scientific and Industrial Research Organisation
Kevin R. Gurney
Kevin R. Gurney Northern Arizona University
Christian Rödenbeck
Christian Rödenbeck Max Planck Institute for Biogeochemistry
Ying-Ping Wang
Ying-Ping Wang Commonwealth Scientific and Industrial Research Organisation
Inez Y. Fung
Inez Y. Fung University of California, Berkeley
Cathy M. Trudinger
Cathy M. Trudinger Commonwealth Scientific and Industrial Research Organisation

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Related Online Degrees & Career Pathways

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