World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
80
Citations
26559
World Ranking
954
National Ranking
412

Alexei Lyapustin 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 Alexei Lyapustin 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: 371 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Alexei Lyapustin 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 Alexei Lyapustin 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: 80 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Alexei Lyapustin is affiliated with the Goddard Space Flight Center in the United States, contributing to research primarily in the fields of Environmental Science and Earth and Planetary Sciences. Their work broadly covers atmospheric phenomena and environmental impacts, with a strong focus on airborne particulates and their implications for health and climate.

Their research spans several key topics, including:

  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Atmospheric Ozone and Climate
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Atmospheric and Environmental Gas Dynamics
  • Remote Sensing in Agriculture

Lyapustin has contributed to research published in various scientific venues. The most frequent publication outlets include:

  • Atmospheric chemistry and physics
  • Frontiers in Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment
  • Environmental Science & Technology

Key recent papers authored or coauthored by Lyapustin address global and regional air quality assessment using remote sensing data. Notable publications include:

  • "Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications," 2020, Remote Sensing of Environment
  • "Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018)," 2020, Environmental Science & Technology
  • "Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty," 2021, Environmental Science & Technology
  • "Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees," 2020, Atmospheric chemistry and physics
  • "Spatial validation reveals poor predictive performance of large-scale ecological mapping models," 2020, Nature Communications

Frequent collaborators in Lyapustin's research include:

  • Yujie Wang
  • A. M. Sayer
  • Sergey Korkin
  • R. C. Levy
  • Ralph A. Kahn

Alexei Lyapustin has also contributed to book publications, including a title published by Frontiers Media: "DSCOVR EPIC/NISTAR: 5 years of observing earth from the first lagrangian point," released in 2022.

Best Publications

  • Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements

    David M. Giles;Alexander Sinyuk;Mikhail G. Sorokin;Joel S. Schafer

  • Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

    Aaron Van Donkelaar;Randall V. Martin;Randall V. Martin;Michael Brauer;N. Christina Hsu

  • Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications

    Jing Wei;Jing Wei;Zhanqing Li;Alexei Lyapustin;Lin Sun

  • MODIS Collection 6 MAIAC Algorithm

    Alexei Lyapustin;Yujie Wang;Sergey Korkin;Dong Huang

  • Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018).

    Melanie S Hammer;Melanie S Hammer;Aaron van Donkelaar;Aaron van Donkelaar;Chi Li;Chi Li;Alexei Lyapustin;Alexei Lyapustin

  • Fifty years of Landsat science and impacts

    Unknown

  • Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty.

    Aaron van Donkelaar;Aaron van Donkelaar;Melanie S. Hammer;Liam Bindle;Michael Brauer;Michael Brauer

  • An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

    Qian Di;Qian Di;Heresh Amini;Liuhua Shi;Itai Kloog

  • Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm

    A. Lyapustin;A. Lyapustin;Y. Wang;Y. Wang;I. Laszlo;R. Kahn

  • Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees

    Jing Wei;Jing Wei;Zhanqing Li;Maureen Cribb;Wei Huang

  • Spatial validation reveals poor predictive performance of large-scale ecological mapping models.

    Pierre Ploton;Frédéric Mortier;Maxime Rejou-Mechain;Nicolas Barbier

  • Hyperspectral remote sensing of foliar nitrogen content.

    Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus

  • Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States.

    Qian Di;Itai Kloog;Petros Koutrakis;Alexei Lyapustin

  • Photosynthetic seasonality of global tropical forests constrained by hydroclimate

    Kaiyu Guan;Kaiyu Guan;Ming Pan;Haibin Li;Adam Wolf

  • Vegetation dynamics and rainfall sensitivity of the Amazon

    Thomas Hilker;Alexei I. Lyapustin;Compton J. Tucker;Forrest G. Hall;Forrest G. Hall

  • The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2

    Alexander Sinyuk;Brent N. Holben;Thomas F. Eck;Thomas F. Eck;David M. Giles

  • Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model.

    Massimo Stafoggia;Tom Bellander;Simone Bucci;Marina Davoli

  • Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables

    Alexei Lyapustin;Alexei Lyapustin;John Martonchik;Yujie Wang;Yujie Wang;Istvan Laszlo

  • Estimating Ground-Level PM(sub 2.5) Concentrations in the Southeastern United States Using MAIAC AOD Retrievals and a Two-Stage Model

    Xuefei Hu;Lance A. Waller;Alexei Lyapustin;Yujie Wang;Yujie Wang

  • Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing

    Thomas Hilker;Enkhjargal Natsagdorj;Richard H. Waring;Alexei Lyapustin

  • Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction

    Alexei I. Lyapustin;Yujie Wang;Yujie Wang;Istvan Laszlo;Thomas Hilker

  • A New Hybrid Spatio-temporal Model for Estimating Daily Multi-year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data

    Itai Kloog;Alexandra A. Chudnovsky;Allan C. Just;Francesco Nordio

Frequent Co-Authors

Yujie Wang
Yujie Wang University of Maryland, Baltimore County
Thomas Hilker
Thomas Hilker Oregon State University
Andrew M. Sayer
Andrew M. Sayer Goddard Space Flight Center
Brent N. Holben
Brent N. Holben Goddard Space Flight Center
Randall V. Martin
Randall V. Martin Washington University in St. Louis
Itai Kloog
Itai Kloog Icahn School of Medicine at Mount Sinai
Robert C. Levy
Robert C. Levy Goddard Space Flight Center
Alexander Marshak
Alexander Marshak Goddard Space Flight Center
Yuri Knyazikhin
Yuri Knyazikhin Boston University
Joel Schwartz
Joel Schwartz Harvard University

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