World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
10768
World Ranking
6279
National Ranking
488

David C. Carslaw 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 David C. Carslaw 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: 106 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

David C. Carslaw 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 David C. Carslaw 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: 45 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

David C. Carslaw is a researcher affiliated with the University of York in the United Kingdom. Their work primarily focuses on environmental science and engineering, with significant contributions in subfields such as health, toxicology and mutagenesis, environmental engineering, automotive engineering, atmospheric science, and global and planetary change.

The main topics of their research encompass air quality and health impacts, air quality monitoring and forecasting, vehicle emissions and performance, atmospheric chemistry and aerosols, the impact of COVID-19 on air quality, atmospheric ozone and climate, and advanced chemical sensor technologies.

David C. Carslaw has authored several recent papers, including:

  • COVID-19 lockdowns highlight a risk of increasing ozone pollution in European urban areas, 2021, Atmospheric chemistry and physics
  • Underestimated Ammonia Emissions from Road Vehicles, 2020, Environmental Science & Technology
  • An increasing role for solvent emissions and implications for future measurements of volatile organic compounds, 2020, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Distance-based emission factors from vehicle emission remote sensing measurements, 2020, The Science of The Total Environment
  • Verification of a National Emission Inventory and Influence of On-road Vehicle Manufacturer-Level Emissions, 2021, Environmental Science & Technology

They frequently publish in venues such as:

  • Environmental Science & Technology
  • Atmospheric Environment X
  • The Science of The Total Environment
  • Environmental Science Processes & Impacts
  • Atmospheric chemistry and physics

Collaboration is a noticeable aspect of their research, with frequent co-authors including Naomi J. Farren, Jack Davison, Rebecca Wagner, Samuel Wilson, and James Lee.

Best Publications

  • openair - An R package for air quality data analysis

    David C. Carslaw;Karl Ropkins

  • Spatially resolved flux measurements of NOx from London suggest significantly higher emissions than predicted by inventories

    Adam R. Vaughan;James D. Lee;Pawel K. Misztal;Stefan Metzger;Stefan Metzger

  • Evidence of an increasing NO2/NOX emissions ratio from road traffic emissions

    David C. Carslaw

  • Random forest meteorological normalisation models for Swiss PM 10 trend analysis

    Stuart K. Grange;Stuart K. Grange;David C. Carslaw;Alastair C. Lewis;Eirini Boleti;Eirini Boleti

  • Conditional bivariate probability function for source identification

    Iratxe Uria-Tellaetxe;David C. Carslaw

  • The impact of congestion charging on vehicle emissions in London

    Sean D. Beevers;David C. Carslaw

  • Recent evidence concerning higher NOx emissions from passenger cars and light duty vehicles

    David C. Carslaw;Sean D. Beevers;James E. Tate;Emily J. Westmoreland

  • Using meteorological normalisation to detect interventions in air quality time series.

    Stuart K. Grange;David C. Carslaw

  • Detecting and quantifying aircraft and other on-airport contributions to ambient nitrogen oxides in the vicinity of a large international airport

    David C. Carslaw;Sean D. Beevers;Karl Ropkins;Margaret C. Bell

  • New insights from comprehensive on-road measurements of NOx, NO2 and NH3 from vehicle emission remote sensing in London, UK

    David C. Carslaw;Glyn Rhys-Tyler

  • Characterising and understanding emission sources using bivariate polar plots and k-means clustering

    David C. Carslaw;Sean D. Beevers

  • Free radical modelling studies during the UK TORCH Campaign in summer 2003

    Katherine M. Emmerson;Katherine M. Emmerson;Nicola Carslaw;D.C. Carslaw;James D. Lee

  • COVID-19 lockdowns highlight a risk of increasing ozone pollution in European urban areas

    Stuart K. Grange;Stuart K. Grange;James D. Lee;Will S. Drysdale;Alastair C. Lewis

  • Estimations of road vehicle primary NO2 exhaust emission fractions using monitoring data in London

    David C. Carslaw;Sean D. Beevers

  • Analysis of air pollution data at a mixed source location using boosted regression trees

    David C. Carslaw;Paul J. Taylor

  • Introduction to the special issue "in-depth study of air pollution sources and processes within Beijing and its surrounding region (APHH-Beijing)"

    Zongbo Shi;Zongbo Shi;Tuan Vu;Simone Kotthaus;Simone Kotthaus;Roy M. Harrison;Roy M. Harrison

  • Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach

    David C. Carslaw;Sean D. Beevers;James E. Tate

  • Air pollution dispersion models for human exposure predictions in London.

    Sean D Beevers;Nutthida Kitwiroon;Martin L Williams;Frank J Kelly

  • Investigating the potential importance of primary NO2 emissions in a street canyon

    David C. Carslaw;Sean D. Beevers

  • Strong Temperature Dependence for Light-Duty Diesel Vehicle NOx Emissions

    Stuart K. Grange;Naomi J. Farren;Adam R. Vaughan;Rebecca A. Rose

  • One way coupling of CMAQ and a road source dispersion model for fine scale air pollution predictions.

    Sean D. Beevers;Nutthida Kitwiroon;Martin L. Williams;David C. Carslaw

Frequent Co-Authors

Sean Beevers
Sean Beevers Imperial College London
Alastair C. Lewis
Alastair C. Lewis University of York
Nicola Carslaw
Nicola Carslaw University of York
James D. Lee
James D. Lee University of York
Roy M. Harrison
Roy M. Harrison University of Birmingham
Paul S. Monks
Paul S. Monks University of Leicester
Frank J. Kelly
Frank J. Kelly Imperial College London
William J. Bloss
William J. Bloss University of Birmingham
Ilana B. Pollack
Ilana B. Pollack Colorado State University
Gordon McFiggans
Gordon McFiggans University of Manchester

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