D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 32 Citations 6,843 62 World Ranking 5781 National Ranking 2383

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Biodiversity
  • Statistics

Jeffrey S. Evans mostly deals with Lidar, Remote sensing, Ecology, Random forest and Landscape ecology. His Lidar study integrates concerns from other disciplines, such as Linear regression, Basal area, Forest management, Canopy and Regression analysis. His work on Panchromatic film and Digital elevation model as part of general Remote sensing study is frequently connected to Ranging and Contextual image classification, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His Ecology study combines topics in areas such as Sample and Scale. His Landscape ecology research is multidisciplinary, incorporating elements of Ecoinformatics, National park, Species richness, Impervious surface and Biological dispersal. His work carried out in the field of Habitat brings together such families of science as Tree canopy, Forest inventory, Forest ecology and Understory.

His most cited work include:

  • Putting the "landscape" in landscape genetics. (729 citations)
  • Empirical Analyses of Plant‐Climate Relationships for the Western United States (379 citations)
  • Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data (313 citations)

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

His scientific interests lie mostly in Ecology, Remote sensing, Habitat, Lidar and Environmental resource management. Jeffrey S. Evans has researched Remote sensing in several fields, including Canopy, Terrain and Statistic. His study in Habitat is interdisciplinary in nature, drawing from both Agroforestry and Wildlife.

His Lidar research integrates issues from Basal area, Forest management, Forest inventory, Tree canopy and Algorithm. His studies in Environmental resource management integrate themes in fields like Ecology and Land use. His research in the fields of Landscape epidemiology overlaps with other disciplines such as Process.

He most often published in these fields:

  • Ecology (45.33%)
  • Remote sensing (25.33%)
  • Habitat (32.00%)

What were the highlights of his more recent work (between 2016-2020)?

  • Agroforestry (24.00%)
  • Ecology (45.33%)
  • Habitat destruction (8.00%)

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

His primary areas of study are Agroforestry, Ecology, Habitat destruction, Habitat and Grouse. His research related to Prosopis, Overgrazing and Range might be considered part of Ecology. His biological study spans a wide range of topics, including Endangered species, Marxan, Resistance and Wildlife.

His Endangered species research incorporates elements of Protected area, Rangeland, Livelihood and Predation. His work deals with themes such as Ecosystem and Land management, which intersect with Habitat. His Grouse research is multidisciplinary, incorporating perspectives in Juniper, Woody plant and Tree canopy.

Between 2016 and 2020, his most popular works were:

  • Mapping Tree Canopy Cover in Support of Proactive Prairie Grouse Conservation in Western North America (28 citations)
  • Mapping Tree Canopy Cover in Support of Proactive Prairie Grouse Conservation in Western North America (28 citations)
  • Transferability of Lidar-derived Basal Area and Stem Density Models within a Northern Idaho Ecoregion (20 citations)

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

Putting the "landscape" in landscape genetics.

.
Heredity (2007)

1051 Citations

Empirical Analyses of Plant‐Climate Relationships for the Western United States

.
International Journal of Plant Sciences (2006)

663 Citations

Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data

.
Remote Sensing of Environment (2008)

460 Citations

Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics

.
Ecology (2010)

403 Citations

A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments

.
IEEE Transactions on Geoscience and Remote Sensing (2007)

370 Citations

Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA

.
Remote Sensing of Environment (2009)

354 Citations

Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability

.
Remote Sensing of Environment (2009)

324 Citations

Modeling species distribution and change using random forest [Chapter 8]

.
In: Drew, A. C.; Wiersma, Y.; Huettmann, F., eds. Predictive Species and Habitat Modeling in Landscape Ecology. New York, NY: Springer. p.139-159. (2011)

293 Citations

Gradient modeling of conifer species using random forests

Jeffrey S. Evans;Samuel A. Cushman.
Landscape Ecology (2009)

281 Citations

Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data

.
Canadian Journal of Remote Sensing (2006)

240 Citations

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