D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 39 Citations 4,835 109 World Ranking 3401 National Ranking 42

Research.com Recognitions

Awards & Achievements

2008 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Ecology
  • Regression analysis

His primary areas of investigation include Forest inventory, Remote sensing, Estimator, Satellite imagery and Statistics. His Forest inventory study integrates concerns from other disciplines, such as Regression analysis, Ancillary data, Thematic Mapper and Categorical variable. His studies deal with areas such as Small area estimation, National forest and Plot as well as Remote sensing.

Ronald E. McRoberts undertakes multidisciplinary investigations into Estimator and Inference in his work. His Satellite imagery study combines topics in areas such as Stratification, Land cover and Simple random sample. In Statistics, Ronald E. McRoberts works on issues like Econometrics, which are connected to Monte Carlo method, Sensitivity analysis and Residual.

His most cited work include:

  • Remote sensing support for national forest inventories (273 citations)
  • Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique (183 citations)
  • Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery (145 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Forest inventory, Statistics, Remote sensing, Estimator and Environmental resource management. He combines subjects such as Thematic Mapper, Satellite imagery, Basal area and Plot with his study of Forest inventory. His work on Sampling, Monte Carlo method and Simple random sample as part of his general Statistics study is frequently connected to Inference, thereby bridging the divide between different branches of science.

His work investigates the relationship between Remote sensing and topics such as Small area estimation that intersect with problems in Ancillary data. His work deals with themes such as Variables, Mean squared error, Standard error, Resampling and Regression analysis, which intersect with Estimator. His Environmental resource management research includes themes of Biodiversity, National forest inventory, Sustainability and National forest.

He most often published in these fields:

  • Forest inventory (49.45%)
  • Statistics (37.36%)
  • Remote sensing (26.92%)

What were the highlights of his more recent work (between 2015-2021)?

  • Statistics (37.36%)
  • Remote sensing (26.92%)
  • Estimator (23.63%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Statistics, Remote sensing, Estimator, Forest inventory and Sampling. His work in the fields of Statistics, such as Plot, overlaps with other areas such as Inference, Volume and Stock. His Remote sensing study combines topics from a wide range of disciplines, such as Forest management, Natural resource and Small area estimation.

His work carried out in the field of Estimator brings together such families of science as Covariance, Mean squared error, Standard error, Residual and Regression analysis. His Forest inventory research includes elements of Parametric statistics, Regression, Confidence interval, Simple random sample and Aerial photography. His Sampling study incorporates themes from Data mining, Bootstrapping, Forestry, Greenhouse gas and Sample.

Between 2015 and 2021, his most popular works were:

  • Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation (74 citations)
  • A questionnaire-based review of the operational use of remotely sensed data by national forest inventories (56 citations)
  • Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass (43 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Ecology
  • Regression analysis

His main research concerns Estimator, Statistics, Remote sensing, Forest inventory and Mean squared error. His work in the fields of Estimator, such as Bias of an estimator, intersects with other areas such as Inference. Many of his research projects under Statistics are closely connected to Random forest and Feature selection with Random forest and Feature selection, tying the diverse disciplines of science together.

His Remote sensing research is multidisciplinary, incorporating elements of Biomass, Sample and Small area estimation. His work focuses on many connections between Small area estimation and other disciplines, such as National forest, that overlap with his field of interest in Remote sensing and Satellite imagery. His study in Forest inventory is interdisciplinary in nature, drawing from both Plot, Land cover, Simple random sample, Standard error and Regression analysis.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Remote sensing support for national forest inventories

Ronald E. McRoberts;Erkki O. Tomppo.
Remote Sensing of Environment (2007)

409 Citations

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.
Remote Sensing of Environment (2002)

276 Citations

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

Ronald E. McRoberts;Ralph J. Alig;Mark D. Nelson;David M. Theobald.
Gen. Tech. Rep. PNW-GTR-636. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 16 p (2005)

208 Citations

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.
Remote Sensing of Environment (2007)

206 Citations

Estimating forest attribute parameters for small areas using nearest neighbors techniques

Ronald E. McRoberts.
Forest Ecology and Management (2012)

164 Citations

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

Piermaria Corona;Gherardo Chirici;Ronald E. McRoberts;Susanne Winter.
Forest Ecology and Management (2011)

157 Citations

Inference for lidar-assisted estimation of forest growing stock volume

Ronald E. McRoberts;Erik Næsset;Terje Gobakken.
Remote Sensing of Environment (2013)

148 Citations

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

Ronald E. McRoberts;James A. Westfall.
Forest Science (2014)

143 Citations

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.
Remote Sensing of Environment (2002)

137 Citations

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

Ronald E. McRoberts.
Remote Sensing of Environment (2010)

135 Citations

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

Contact us

Best Scientists Citing Ronald E. McRoberts

Erik Næsset

Erik Næsset

Norwegian University of Life Sciences

Publications: 62

Piermaria Corona

Piermaria Corona

The Canadian Real Estate Association

Publications: 56

Terje Gobakken

Terje Gobakken

Norwegian University of Life Sciences

Publications: 55

Gherardo Chirici

Gherardo Chirici

University of Florence

Publications: 42

Göran Ståhl

Göran Ståhl

Swedish University of Agricultural Sciences

Publications: 33

Michael A. Wulder

Michael A. Wulder

Natural Resources Canada

Publications: 29

Marco Marchetti

Marco Marchetti

University of Molise

Publications: 28

Sassan Saatchi

Sassan Saatchi

California Institute of Technology

Publications: 24

Matti Maltamo

Matti Maltamo

University of Eastern Finland

Publications: 24

Warren B. Cohen

Warren B. Cohen

US Forest Service

Publications: 22

Joanne C. White

Joanne C. White

Natural Resources Canada

Publications: 22

Isabel Cañellas

Isabel Cañellas

Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria

Publications: 21

Nicholas C. Coops

Nicholas C. Coops

University of British Columbia

Publications: 17

Timothy G. Gregoire

Timothy G. Gregoire

Yale University

Publications: 17

Andrew T. Hudak

Andrew T. Hudak

US Forest Service

Publications: 16

Christopher W. Woodall

Christopher W. Woodall

US Forest Service

Publications: 15

Trending Scientists

Yi-Zhi Huang

Yi-Zhi Huang

Rutgers, The State University of New Jersey

Tamás Insperger

Tamás Insperger

Budapest University of Technology and Economics

Robert J. Greenberg

Robert J. Greenberg

Johns Hopkins University

Herbert O. Hultin

Herbert O. Hultin

University of Massachusetts Amherst

Pedro H. S. Brancalion

Pedro H. S. Brancalion

Universidade de São Paulo

Alain Kohl

Alain Kohl

University of Glasgow

Andrew R.C. Kylander-Clark

Andrew R.C. Kylander-Clark

University of California, Santa Barbara

Anthony J. Brazel

Anthony J. Brazel

Arizona State University

Howard T. Odum

Howard T. Odum

University of Florida

Kai M. A. Chan

Kai M. A. Chan

University of British Columbia

Harriet L. Robinson

Harriet L. Robinson

Emory University

Kim Bartholomew

Kim Bartholomew

Simon Fraser University

Bernhard T. Baune

Bernhard T. Baune

Florey Institute of Neuroscience and Mental Health

Mary Fewtrell

Mary Fewtrell

University College London

Flora Peyvandi

Flora Peyvandi

Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico

Dong-Jin Lee

Dong-Jin Lee

Yonsei University

Something went wrong. Please try again later.