What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Social psychology
The scientist’s investigation covers issues in Ecology, Foraging, Social network analysis, Social network and Social psychology.
Ecology connects with themes related to Selection in his study.
His Selection research includes elements of Evolutionary biology and Empirical research.
His studies in Foraging integrate themes in fields like Developmental psychology, Intraspecific competition and Flock.
His Social network analysis research is multidisciplinary, incorporating elements of Statistical hypothesis testing and Data science.
The Social network study combines topics in areas such as Resampling, Artificial intelligence and Parus.
His most cited work include:
- Constructing, conducting and interpreting animal social network analysis (392 citations)
- Constructing, conducting and interpreting animal social network analysis (392 citations)
- Constructing, conducting and interpreting animal social network analysis (392 citations)
What are the main themes of his work throughout his whole career to date?
Damien R. Farine mainly investigates Ecology, Social network analysis, Social network, Foraging and Cognitive psychology.
Damien R. Farine works mostly in the field of Ecology, limiting it down to concerns involving Evolutionary biology and, occasionally, Selection.
Damien R. Farine has researched Social network analysis in several fields, including Data science, Machine learning, Artificial intelligence and Organizational network analysis.
The study incorporates disciplines such as Inference, Social environment and Social system in addition to Social network.
The concepts of his Foraging study are interwoven with issues in Mutualism, Social learning, Social psychology and Parus.
His study looks at the relationship between Cognitive psychology and topics such as Social dynamics, which overlap with Cultural transmission in animals.
He most often published in these fields:
- Ecology (60.71%)
- Social network analysis (41.52%)
- Social network (29.02%)
What were the highlights of his more recent work (between 2019-2021)?
- Social network analysis (41.52%)
- Demography (10.27%)
- Ecology (60.71%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Social network analysis, Demography, Ecology, Social environment and Cognitive psychology.
Social network analysis is a subfield of Social network that he studies.
His Demography study which covers Social organization that intersects with Sociality.
His research integrates issues of Data hub and Data integration in his study of Ecology.
His Cognitive psychology research includes themes of Mechanism and Social learning.
His Mating system study integrates concerns from other disciplines, such as Data science and Cluster analysis.
Between 2019 and 2021, his most popular works were:
- Social Barriers in Ecological Landscapes: The Social Resistance Hypothesis. (16 citations)
- Mixed company: a framework for understanding the composition and organization of mixed-species animal groups. (14 citations)
- Mixed company: a framework for understanding the composition and organization of mixed-species animal groups. (14 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Social psychology
Damien R. Farine mostly deals with Social network analysis, Social environment, Data collection, Social network and Cognitive psychology.
His work carried out in the field of Social network analysis brings together such families of science as Indigenous, Songbird, Nest and Social system.
His study in Social system is interdisciplinary in nature, drawing from both Biological dispersal, Resistance and Economic geography.
His Social environment study combines topics in areas such as Demography and Mating, Mating system.
His Data collection research integrates issues from Construct, Inference and Data science.
His biological study spans a wide range of topics, including Giraffa camelopardalis, Livestock, Ecology and Metapopulation.
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