World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
6568
World Ranking
6836
National Ranking
2435

Nancy F. Glenn 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 Nancy F. Glenn 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: 216 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Nancy F. Glenn 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 Nancy F. Glenn 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: 44 D-Index — 32nd percentile

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

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

Overview

Nancy F. Glenn is affiliated with Boise State University in the United States. Their research is primarily situated within the field of Environmental Science, with significant contributions to several subfields, including Global and Planetary Change, Ecology, Environmental Engineering, Atmospheric Science, and Mechanical Engineering.

Their work encompasses a range of topics that include Fire effects on ecosystems, Remote Sensing and LiDAR Applications, Mineral Processing and Grinding, Remote Sensing in Agriculture, Rangeland and Wildlife Management, Cryospheric studies and observations, and Ecology and Vegetation Dynamics Studies.

Recent papers authored or co-authored by Nancy F. Glenn include the following:

  • NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms (2021) published in Remote Sensing of Environment
  • Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s (2022) published in Journal of Geophysical Research Biogeosciences
  • Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning (2021) published in The Cryosphere
  • Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches (2020) published in Ecosystems
  • Monitoring tropical forest succession at landscape scales despite uncertainty in Landsat time series (2020) published in Ecological Applications

Their research outputs have been published in frequent venues such as:

  • Ecological Applications
  • Rangeland Ecology & Management
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Geophysical Research Biogeosciences

Nancy F. Glenn has collaborated extensively with several researchers, including:

  • Sureka Thiruchittampalam
  • Simit Raval
  • Josh Enterkine
  • Bikram Pratap Banerjee
  • David Schimel

Best Publications

  • Analysis of LiDAR-derived topographic information for characterizing and differentiating landslide morphology and activity

    Nancy F. Glenn;David R. Streutker;D. John Chadwick;Glenn D. Thackray

  • Analyzing High Resolution Topography for Advancing the Understanding of Mass and Energy Transfer Through Landscapes: A Review

    Paola Passalacqua;Patrick Belmont;Dennis M. Staley;Jeffrey D. Simley

  • LiDAR measurement of sagebrush steppe vegetation heights

    David R. Streutker;Nancy F. Glenn

  • NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

    Kerry Cawse-Nicholson;Philip A. Townsend;David Schimel;Ali M. Assiri

  • A review of remote sensing of invasive weeds and example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath (Gypsophila paniculata) with a hyperspectral sensor

    Lawrence W. Lass;Timothy S. Prather;Nancy F. Glenn;Keith T. Weber

  • Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle

    Ryan C. Hruska;Jessica J. Mitchell;Matthew O. Anderson;Nancy F. Glenn

  • Hyperspectral data processing for repeat detection of small infestations of leafy spurge

    Nancy F. Glenn;Jacob T. Mundt;Keith T. Weber;Timothy S. Prather

  • Mapping Sagebrush Distribution Using Fusion of Hyperspectral and Lidar Classifications

    Jacob T. Mundt;David R. Streutker;Nancy F. Glenn

  • Dynamic floodplain vegetation model development for the Kootenai River, USA

    Rohan Benjankar;Gregory Egger;Klaus Jorde;Peter Goodwin

  • What is the Effect of LiDAR-Derived DEM Resolution on Large-Scale Watershed Model Results?

    Ping Yang;Daniel P. Ames;André Fonseca;Danny Anderson

  • Discrimination of hoary cress and determination of its detection limits via hyperspectral image processing and accuracy assessment techniques

    Jacob T. Mundt;Nancy F. Glenn;Keith T. Weber;Timothy S. Prather

  • Aboveground Total and Green Biomass of Dryland Shrub Derived from Terrestrial Laser Scanning

    Peter J. Olsoy;Nancy F. Glenn;Patrick E. Clark;DeWayne R. Derryberry

  • Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign

    William Ryan Currier;Justin Pflug;Giulia Mazzotti;Tobias Jonas

  • Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning

    Kyle E. Anderson;Nancy F. Glenn;Lucas P. Spaete;Douglas J. Shinneman

  • Errors in LiDAR-derived shrub height and crown area on sloped terrain

    N.F. Glenn;L.P. Spaete;T.T. Sankey;D.R. Derryberry

  • Aeolian sediment transport following wildfire in sagebrush steppe

    J.B. Sankey;M.J. Germino;N.F. Glenn

  • Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area

    Cheng Wang;N.F. Glenn

  • Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass

    Nancy F. Glenn;Amy L Neuenschwander;Lee A. Vierling;Lucas Spaete

  • Vegetation and slope effects on accuracy of a LiDAR-derived DEM in the sagebrush steppe

    Lucas P. Spaete;Nancy F. Glenn;Dewayne R. Derryberry;Temuulen T. Sankey

  • Improvement of Distributed Snowmelt Energy Balance Modeling with MODIS-Based NDSI-Derived Fractional Snow-Covered Area Data

    Joel W. Homan;Charles H. Luce;James P. McNamara;Nancy F. Glenn

  • Regional sensitivities of seasonal snowpack to elevation, aspect, and vegetation cover in western North America

    Christopher J. Tennant;Adrian A. Harpold;Kathleen Ann Lohse;Sarah E. Godsey

Frequent Co-Authors

Matthew J. Germino
Matthew J. Germino United States Geological Survey
David S. Pilliod
David S. Pilliod United States Geological Survey
Susan L. Ustin
Susan L. Ustin University of California, Davis
Lisa A. Shipley
Lisa A. Shipley Washington State University
James P. McNamara
James P. McNamara Boise State University
Hans-Peter Marshall
Hans-Peter Marshall Boise State University
Janet L. Rachlow
Janet L. Rachlow University of Idaho
Shawn G. Benner
Shawn G. Benner Boise State University
Gerald N. Flerchinger
Gerald N. Flerchinger Agricultural Research Service
Noah P. Molotch
Noah P. Molotch University of Colorado Boulder

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