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
Ecology and Evolution D-index 55 Citations 13,081 99 World Ranking 1798 National Ranking 690

Research.com Recognitions

Awards & Achievements

2021 - Fellow of the Ecological Society of America (ESA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Botany

William F. Morris mainly focuses on Ecology, Range, Abiotic component, Climate change and Ecosystem. The study of Ecology is intertwined with the study of Population growth in a number of ways. His work in Abiotic component covers topics such as Population model which are related to areas like Environmental change, Abundance and Density dependence.

The concepts of his Climate change study are interwoven with issues in Tundra and Tipping point. His Ecosystem research is multidisciplinary, incorporating elements of Interaction, Herbaceous plant, Herbivore and Woody plant. His Ecology study deals with Risk analysis intersecting with Population viability analysis and Matrix population models.

His most cited work include:

  • Quantitative conservation biology : theory and practice of population viability analysis (897 citations)
  • Biotic interactions and plant invasions (615 citations)
  • Interaction frequency as a surrogate for the total effect of animal mutualists on plants (404 citations)

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

Ecology, Vital rates, Population growth, Range and Climate change are his primary areas of study. As a member of one scientific family, William F. Morris mostly works in the field of Ecology, focusing on Biological dispersal and, on occasion, Spatial ecology. His Vital rates research is multidisciplinary, relying on both Adaptation, Statistics, Population projection and Fecundity.

In the field of Population growth, his study on Matrix population models overlaps with subjects such as Compensation and Demography. His research on Range also deals with topics like

  • Abiotic component which is related to area like Environmental change and Biodiversity,
  • Global warming and related Tundra. William F. Morris combines subjects such as Ecosystem, Species distribution and Local adaptation with his study of Climate change.

He most often published in these fields:

  • Ecology (83.81%)
  • Vital rates (22.86%)
  • Population growth (20.00%)

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

  • Ecology (83.81%)
  • Climate change (14.29%)
  • Range (17.14%)

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

William F. Morris mostly deals with Ecology, Climate change, Range, Population growth and Vital rates. William F. Morris integrates Ecology with Silene acaulis in his study. His research in Climate change intersects with topics in Environmental resource management, Community structure, Species distribution and Local adaptation.

His Population growth course of study focuses on Ecosystem and Population projection, Prosopis, Woodland and Grazing. His research integrates issues of Tropics and Global change in his study of Vital rates. His Ecology research is multidisciplinary, incorporating perspectives in Population viability analysis, Environmental change, Ecology and Evolutionary Biology and Population model.

Between 2015 and 2021, his most popular works were:

  • Ecological and evolutionary impacts of changing climatic variability. (113 citations)
  • Advancing environmentally explicit structured population models of plants (61 citations)
  • Advancing environmentally explicit structured population models of plants (61 citations)

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

  • Ecology
  • Statistics
  • Botany

His primary areas of investigation include Ecology, Climate change, Vital rates, Abiotic component and Ecology and Evolutionary Biology. His research on Ecology frequently connects to adjacent areas such as Population growth. He has researched Climate change in several fields, including Environmental resource management, Community structure and Local adaptation.

His Local adaptation study combines topics in areas such as Range, Biodiversity, Tundra, Growing season and Global warming. His study in Vital rates is interdisciplinary in nature, drawing from both Global change, Tropics, Extinction and Threatened species. His studies deal with areas such as Environmental change, Ecology and Population model as well as Abiotic component.

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

Quantitative conservation biology

.
(2002)

2076 Citations

Quantitative conservation biology : theory and practice of population viability analysis

.
(2002)

1457 Citations

Biotic interactions and plant invasions

.
Ecology Letters (2006)

855 Citations

Interaction frequency as a surrogate for the total effect of animal mutualists on plants

.
Ecology Letters (2005)

564 Citations

LONGEVITY CAN BUFFER PLANT AND ANIMAL POPULATIONS AGAINST CHANGING CLIMATIC VARIABILITY

.
Ecology (2008)

464 Citations

Demographic compensation and tipping points in climate-induced range shifts

.
Nature (2010)

425 Citations

Predicting changes in the distribution and abundance of species under environmental change

.
Ecology Letters (2015)

356 Citations

How do plant ecologists use matrix population models

.
Ecology Letters (2011)

274 Citations

DIRECT AND INTERACTIVE EFFECTS OF ENEMIES AND MUTUALISTS ON PLANT PERFORMANCE: A META-ANALYSIS

.
Ecology (2007)

262 Citations

Aging in the Natural World: Comparative Data Reveal Similar Mortality Patterns Across Primates

.
Science (2011)

242 Citations

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