What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Ecology, Argentine ant, Linepithema, Introduced species and Interspecific competition.
The study of Ecology is intertwined with the study of Biological dispersal in a number of ways.
His work carried out in the field of Argentine ant brings together such families of science as Population density and Yellow crazy ant.
His research in Introduced species intersects with topics in Population genetics and Genetic diversity.
His Interspecific competition study combines topics from a wide range of disciplines, such as Evolutionary biology, Realized niche width and Niche theory.
His Abundance research includes elements of Habitat fragmentation and Animal ecology.
His most cited work include:
- The Causes and Consequences of Ant Invasions (1012 citations)
- Perturbation Experiments in Community Ecology: Theory and Practice (903 citations)
- Reduced genetic variation and the success of an invasive species (706 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Ecology, Zoology, Competition, Argentine ant and Linepithema.
His Ecology study focuses mostly on Introduced species, Interspecific competition, Abundance, Foraging and Intraspecific competition.
Ted J. Case combines subjects such as Population genetics and Extinction with his study of Introduced species.
His study in Competition is interdisciplinary in nature, drawing from both Niche differentiation, Niche, Coevolution and Predation.
His Argentine ant study combines topics in areas such as Habitat fragmentation, Population density and Forelius.
His studies in Linepithema integrate themes in fields like Horned lizard, Phrynosoma coronatum, Yellow crazy ant, Messor and Pogonomyrmex.
He most often published in these fields:
- Ecology (69.03%)
- Zoology (20.35%)
- Competition (17.70%)
What were the highlights of his more recent work (between 1999-2008)?
- Ecology (69.03%)
- Argentine ant (16.81%)
- Linepithema (15.04%)
In recent papers he was focusing on the following fields of study:
Ecology, Argentine ant, Linepithema, Introduced species and Notiosorex crawfordi are his primary areas of study.
Ecology and Population density are frequently intertwined in his study.
His research integrates issues of Anoplolepis, Pheidole megacephala and Wasmannia in his study of Argentine ant.
His work deals with themes such as Intraspecific competition, Horned lizard, Phrynosoma coronatum, Foraging and Nest, which intersect with Linepithema.
His research investigates the connection between Introduced species and topics such as Genetic diversity that intersect with problems in Kin selection.
In his study, Chaetodipus californicus, Deer mouse, Peromyscus and Brush mouse is inextricably linked to Sorex ornatus, which falls within the broad field of Notiosorex crawfordi.
Between 1999 and 2008, his most popular works were:
- The Causes and Consequences of Ant Invasions (1012 citations)
- Reduced genetic variation and the success of an invasive species (706 citations)
- Patterns of spread in biological invasions dominated by long-distance jump dispersal: Insights from Argentine ants. (501 citations)
In his most recent research, the most cited papers focused on:
Ted J. Case spends much of his time researching Ecology, Argentine ant, Linepithema, Introduced species and Evolutionary biology.
Ecology and Biological dispersal are commonly linked in his work.
His Argentine ant research incorporates themes from Abundance, Species richness, Foraging and Animal ecology.
His biological study spans a wide range of topics, including Habitat fragmentation, Pheidole megacephala, Anoplolepis, Species diversity and Coastal sage scrub.
The concepts of his Introduced species study are interwoven with issues in Mutualism, Spatial heterogeneity, Brood and Wasmannia.
In his study, Intraspecific competition and Kin selection is strongly linked to Population genetics, which falls under the umbrella field of Evolutionary biology.
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.
