What is he best known for?
The fields of study he is best known for:
- Ecology
- Predation
- Zoology
His scientific interests lie mostly in Ecology, Foraging, Olfaction, Burrow and Seabird.
In general Ecology, his work in Petrel and Satellite telemetry is often linked to TRIPS architecture, Global Positioning System and Tracking linking many areas of study.
His Foraging research incorporates themes from Oceanography, Fishery and Predation.
His Olfaction study combines topics from a wide range of disciplines, such as Philopatry, Zoology, Mate choice and Homing.
His work in Burrow covers topics such as Nest which are related to areas like Pachyptila belcheri, Pelecanoides georgicus, Diving petrel and Common diving petrel.
The Seabird study combines topics in areas such as Kin recognition and Inbreeding, Inbreeding avoidance.
His most cited work include:
- GPS tracking of foraging albatrosses. (211 citations)
- Partner-specific odor recognition in an Antarctic seabird (192 citations)
- Spatial distribution of foraging in female Antarctic fur seals Arctocephalus gazella in relation to oceanographic variables: a scale-dependent approach using geographic information systems (173 citations)
What are the main themes of his work throughout his whole career to date?
Francesco Bonadonna mainly investigates Ecology, Foraging, Zoology, Olfaction and Petrel.
His studies in Homing, Nest, Burrow, Seabird and Pachyptila desolata are all subfields of Ecology research.
His biological study spans a wide range of topics, including Fishery, Oceanography, Pelagic zone and Predation.
Francesco Bonadonna has researched Predation in several fields, including Range and Visual field.
The Olfaction study combines topics in areas such as Evolutionary biology, Mate choice, Common diving petrel, Chemical communication and Odor.
His study in Petrel is interdisciplinary in nature, drawing from both Nocturnal, Sexual selection, Procellariiformes and Feather.
He most often published in these fields:
- Ecology (56.14%)
- Foraging (28.07%)
- Zoology (27.19%)
What were the highlights of his more recent work (between 2017-2021)?
- Zoology (27.19%)
- Ecology (56.14%)
- Halobaena caerulea (15.79%)
In recent papers he was focusing on the following fields of study:
His main research concerns Zoology, Ecology, Halobaena caerulea, Olfaction and Petrel.
The various areas that Francesco Bonadonna examines in his Zoology study include Range and Seasonality.
His Ecology study frequently links to adjacent areas such as Visual field.
His studies deal with areas such as Mate choice and Pachyptila desolata as well as Halobaena caerulea.
While the research belongs to areas of Olfaction, he spends his time largely on the problem of Evolutionary biology, intersecting his research to questions surrounding Chemical communication, Chemical ecology, Charadrius and Nest.
He combines subjects such as Animal ecology and Sexual selection with his study of Petrel.
Between 2017 and 2021, his most popular works were:
- Climate-driven range shifts of the king penguin in a fragmented ecosystem (36 citations)
- Plumage microbiota covaries with the major histocompatibility complex in blue petrels. (14 citations)
- Contrasting phylogeographic pattern among Eudyptes penguins around the Southern Ocean. (14 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Predation
- Zoology
His primary areas of study are Range, Zoology, Chrysolophus, Ecology and Colony formation.
The study incorporates disciplines such as Animal migration, Habitat fragmentation, Ecological niche and Ecosystem in addition to Range.
His Zoology research incorporates themes from Biological dispersal and Polar front.
His Chrysolophus study combines topics from a wide range of disciplines, such as Eudyptes chrysolophus, Royal penguin and Natal homing.
His biological study spans a wide range of topics, including Visual field and Ridge.
There are a combination of areas like Interaction potential, Radius, Radial distribution function, Dynamics and High density integrated together with his Colony formation study.
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.
