World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
60
Citations
15361
World Ranking
2888
National Ranking
1137

Bryan A. Baum 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 Bryan A. Baum 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: 184 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Bryan A. Baum 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 Bryan A. Baum 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: 60 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Bryan A. Baum is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily focuses on Earth and Planetary Sciences, with significant contributions to Environmental Science. The scientist's work spans several specialized subfields, including Atmospheric Science, Global and Planetary Change, and Aerospace Engineering.

Their main research topics cover a range of atmospheric phenomena and measurement techniques. These include:

  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics
  • Calibration and Measurement Techniques

Baum has authored several papers across various scientific venues. Notable recent publications include:

  • "A test of the ability of current bulk optical models to represent the radiative properties of cirrus cloud across the mid- and far-infrared" (2020) published in Atmospheric Chemistry and Physics
  • "Improvement in cloud retrievals from VIIRS through the use of infrared absorption channels constructed from VIIRS+CrIS data fusion" (2020) published in Atmospheric Measurement Techniques
  • "Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations" (2021) published in Remote Sensing
  • "Improvement in tropospheric moisture retrievals from VIIRS through the use of infrared absorption bands constructed from VIIRS and CrIS data fusion" (2021) published in Atmospheric Measurement Techniques
  • "Determining temporary admissible transmission loading using neural networks" (2025) published in IET Conference Proceedings

Frequent publication venues reflect Baum's focus on atmospheric measurements and chemistry, including:

  • Atmospheric Measurement Techniques
  • Atmospheric Chemistry and Physics
  • Remote Sensing
  • IET Conference Proceedings

Collaboration has been an important aspect of their work. Frequent co-authors include:

  • Ping Yang
  • W. Paul Menzel
  • Elisabeth Weisz
  • Richard Bantges
  • Helen Brindley

Bryan A. Baum's research integrates modeling and observational approaches to advance the understanding of cloud properties and atmospheric composition. Their work often involves multi-angle polarization observations and data fusion techniques, contributing to improved retrieval methods in atmospheric sciences.

Best Publications

  • The MODIS cloud products: algorithms and examples from Terra

    S. Platnick;M.D. King;S.A. Ackerman;W.P. Menzel

  • Discriminating clear sky from clouds with MODIS

    Steven A. Ackerman;Kathleen I. Strabala;W. Paul Menzel;Richard A. Frey

  • Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 um

    Ping Yang;Lei Bi;Bryan A. Baum;Kuo-Nan Liou

  • Scattering and absorption property database for nonspherical ice particles in the near- through far-infrared spectral region.

    Ping Yang;Heli Wei;Hung-Lung Huang;Bryan A. Baum

  • Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS: 1. Data and models

    Bryan A. Baum;David P. Kratz;Ping Yang;S. C. Ou

  • Clouds and the Earth's Radiant Energy System (CERES): algorithm overview

    B.A. Wielicki;B.R. Barkstrom;B.A. Baum;T.P. Charlock

  • Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part I: Microphysical Data and Models.

    Bryan A. Baum;Andrew J. Heymsfield;Ping Yang;Sarah T. Bedka

  • CALIPSO/CALIOP Cloud Phase Discrimination Algorithm

    Yongxiang Hu;David Winker;Mark Vaughan;Bing Lin

  • Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models

    Bryan A. Baum;Ping Yang;Andrew J. Heymsfield;Steven Platnick

  • Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS: 2. Cloud thermodynamic phase

    Bryan A. Baum;Peter F. Soulen;Kathleen I. Strabala;Michael D. King

  • MODIS Global Cloud-Top Pressure and Amount Estimation: Algorithm Description and Results

    W. Paul Menzel;Richard A. Frey;Hong Zhang;Donald P. Wylie

  • Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP

    R. E. Holz;S. A. Ackerman;F. W. Nagle;R. Frey

  • MODIS Cloud-Top Property Refinements for Collection 6

    Bryan A. Baum;W. Paul Menzel;Richard A. Frey;David C. Tobin

  • Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds

    Bryan A. Baum;Ping Yang;Andrew J. Heymsfield;Carl G. Schmitt

  • Ice cloud single-scattering property models with the full phase matrix at wavelengths from 0.2 to 100 µm

    Bryan A. Baum;Ping Yang;Andrew J. Heymsfield;Aaron Bansemer

  • Parameterization of shortwave ice cloud optical properties for various particle habits

    Jeffrey R. Key;Ping Yang;Bryan A. Baum;Bryan A. Baum;Shaima L. Nasiri

  • Single scattering properties of droxtals

    Ping Yang;Bryan A Baum;Andrew J Heymsfield;Yong X Hu

  • On the radiative properties of ice clouds: Light scattering, remote sensing, and radiation parameterization

    Ping Yang;Kuo-Nan Liou;Lei Bi;Chao Liu

  • Scattering and absorption of light by ice particles: Solution by a new physical-geometric optics hybrid method

    Lei Bi;Ping Yang;George W. Kattawar;Yongxiang Hu

  • Automated Cloud Classification of Global AVHRR Data Using a Fuzzy Logic Approach

    Bryan A. Baum;Vasanth Tovinkere;Jay Titlow;Ronald M. Welch

Frequent Co-Authors

Ping Yang
Ping Yang Texas A&M University
Steven Platnick
Steven Platnick Goddard Space Flight Center
Andrew K. Heidinger
Andrew K. Heidinger National Oceanic and Atmospheric Administration
Michael D. King
Michael D. King University of Colorado Boulder
Yongxiang Hu
Yongxiang Hu Langley Research Center
Andrew J. Heymsfield
Andrew J. Heymsfield National Center for Atmospheric Research
Patrick Minnis
Patrick Minnis Langley Research Center
W. Paul Menzel
W. Paul Menzel University of Wisconsin–Madison
Robert E. Holz
Robert E. Holz University of Wisconsin–Madison
Steven A. Ackerman
Steven A. Ackerman University of Wisconsin–Madison

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