Steen Magnussen

Environmental Engineering · 2004–2018

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 23 citations into it; #2,037 of 5,479 by trust here, #2,361 by citations
• Statistics and Probability — 23 citations into it
• Nature and Landscape Conservation — 20 citations into it; #3,188 of 6,941 by trust here, #4,843 by citations
• Artificial Intelligence — 15 citations into it
• Ecology — 13 citations into it; #5,977 of 10,717 by trust here, #7,572 by citations
• Management Science and Operations Research — 5 citations into it

Whom Steen Magnussen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eamonn J. Keogh
2. Julian Besag
3. Eric P. Smith
4. V. Lemay
5. Jiahua Chen
6. Erkki Tomppo
7. Ronald E. McRoberts
8. Yingcun Xia
9. R. Valliant
10. Marcello D'Orazio

Who trusts Steen Magnussen overall

1. Ronald E. McRoberts
2. Terje Gobakken
3. Darius Phiri
4. Erik Næsset
5. Justin Morgenroth
6. Erkki Tomppo
7. Lauri Korhonen
8. Johannes Breidenbach

Papers from Steen Magnussen's perspective

Ordered by how strongly the researchers Steen Magnussen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Comparison of Nearest Neighbor Methods for Estimating Basal Area and Stems per Hectare Using Aerial Auxiliary Variables (Forestry sciences)
2. Semiparametric Regression: Preface
3. Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories
4. Direct estimation of the index coefficient in a single-index model
5. Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method
6. Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems
7. Bootstrap Methods: Another Look at the Jackknife
8. Sampling: Design and Analysis
9. Resampling and exchangeable arrays
10. Interpolation of spatial data

Their papers

• Unit-level and area-level small area estimation under heteroscedasticity using digital aerial photogrammetry data (2018) — 48 citations
• Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data (2011) — 72 citations
• Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce (2010) — 86 citations
• Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories (2009) — 76 citations
• Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory (2006) — 329 citations
• Contextual classification of Landsat TM images to forest inventory cover types (2004) — 76 citations