World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
68
Citations
13492
World Ranking
1901
National Ranking
790

Ronald E. McRoberts 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 Ronald E. McRoberts 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: 273 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Ronald E. McRoberts 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 Ronald E. McRoberts 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: 68 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - Fellow of the American Statistical Association (ASA)

Overview

Ronald E. McRoberts is affiliated with the University of Minnesota in the United States. Their research primarily focuses on environmental science, with specific attention to subfields such as environmental engineering, ecology, nature and landscape conservation, global and planetary change, and atmospheric science.

Their work encompasses a range of topics including remote sensing and LiDAR applications, remote sensing in agriculture, forest ecology and management, land use and ecosystem services, forest management and policy, soil geostatistics and mapping, and fire effects on ecosystems.

Frequent publication venues for Ronald E. McRoberts include:

  • Remote Sensing
  • Remote Sensing of Environment
  • Forest Ecosystems
  • International Journal of Applied Earth Observation and Geoinformation
  • Forest Ecology and Management

Common collaborators in their work include:

  • Erik Næsset
  • Zhengyang Hou
  • Gherardo Chirici
  • Göran Ståhl
  • Saverio Francini

Some notable recent papers by Ronald E. McRoberts are:

  • Changes in global terrestrial live biomass over the 21st century, 2021, Science Advances
  • Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods-A Case Study from Dak Nong, Vietnam, 2020, Remote Sensing
  • Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory, 2020, Forests
  • Near-real time forest change detection using PlanetScope imagery, 2020, European Journal of Remote Sensing
  • Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran, 2020, Remote Sensing of Environment

Ronald E. McRoberts has also contributed to book publications. One example is the work published with Ghent University titled "Aboveground Woody Biomass Product Validation Good Practices Protocol" in 2021.

In 2008, Ronald E. McRoberts was recognized as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

    J. A. Blackard;M. V. Finco;E. H. Helmer;G. R. Holden

  • Remote sensing support for national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo

  • Changes in global terrestrial live biomass over the 21st century

    Liang Xu;Sassan S. Saatchi;Sassan S. Saatchi;Yan Yang;Yifan Yu

  • Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique

    Ronald E McRoberts;Mark D Nelson;Daniel G Wendt

  • Relationship of deer and moose populations to previous winters' snow

    L.D. Mech;R.E. McRoberts;R.O. Peterson;R.E. Page

  • Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery

    Ronald E. McRoberts;Erkki O. Tomppo;Andrew O. Finley;Juha Heikkinen

  • Advances and emerging issues in national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo;Erik. Naesset

  • Forests on the edge: housing development on America’s private forests.

    Ronald E. McRoberts;Ralph J. Alig;Mark D. Nelson;David M. Theobald

  • Contribution of large-scale forest inventories to biodiversity assessment and monitoring

    Piermaria Corona;Gherardo Chirici;Ronald E. McRoberts;Susanne Winter

  • A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

    Gherardo Chirici;Matteo Mura;Daniel McInerney;Nicolas Py

  • Estimating forest attribute parameters for small areas using nearest neighbors techniques

    Ronald E. McRoberts

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • Inference for lidar-assisted estimation of forest growing stock volume

    Ronald E. McRoberts;Erik Næsset;Terje Gobakken

  • Effects of uncertainty in model predictions of individual tree volume on large area volume estimates

    Ronald E. McRoberts;James A. Westfall

  • Using remotely sensed data to construct and assess forest attribute maps and related spatial products

    Ronald E. McRoberts;Warren B. Cohen;Erik Naesset;Stephen V. Stehman

  • Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data

    Ronald E. McRoberts

  • Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation

    Göran Ståhl;Svetlana Saarela;Sebastian Schnell;Sören Holm

  • Satellite image-based maps: Scientific inference or pretty pictures?

    Ronald E. McRoberts

  • Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates

    Ronald E McRoberts;Daniel G Wendt;Mark D Nelson;Mark H Hansen

  • The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy

    Martin Herold;Sarah Carter;Valerio Avitabile;Andrés B. Espejo

  • A strategic assessment of forest biomass and fuel reduction treatments in western states

    Bob Rummer;Jeff Prestemon;Dennis May

Frequent Co-Authors

Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Gherardo Chirici
Gherardo Chirici University of Florence
Erkki Tomppo
Erkki Tomppo University of Helsinki
Terje Gobakken
Terje Gobakken Norwegian University of Life Sciences
Göran Ståhl
Göran Ståhl Swedish University of Agricultural Sciences
Qi Chen
Qi Chen University of Hawaii at Manoa
Marco Marchetti
Marco Marchetti University of Molise
Grant M. Domke
Grant M. Domke US Forest Service
Emil Cienciala
Emil Cienciala Czech Academy of Sciences
Piermaria Corona
Piermaria Corona The Canadian Real Estate Association

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Environmental Sciences, exploring related online degrees can open up diverse career opportunities. Many programs offer flexible options, such as the affordable online general studies degree, which provides a broad educational foundation and is ideal for those seeking cost-effective study alternatives.

If you’re looking for a program that balances quality with manageability, consider the easiest bachelor degree to get. These programs often emphasize practical knowledge and skills, making them appealing to students who want to quickly enter the workforce in related environmental fields.

Specialized areas like geoscience are also growing in importance, with numerous options available in the form of the geoscience online degree. This pathway equips students with expertise in earth sciences, essential for careers in natural resource management and environmental consulting.

Additionally, Geographic Information Systems (GIS) is a vital tool in environmental studies. The best GIS programs prepare students to analyze spatial data, a skill highly sought after in urban planning, conservation, and disaster management roles.

Best Scientists Citing Ronald E. McRoberts

Trending Scientists

Recently Published Articles