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Features
Assistant
AI grounded in research
Search
Full-text citation search
Collections
Organize and monitor papers
All Features →
Integrations
MCP
Connect AI agents to Scite
API
Programmatic data access
Holdings
Full-text via your library
Zotero Plugin
Citation data in Zotero
Browser Extension
Citation badges anywhere
All Integrations →
Data
Rankings
Pricing
Log In
Start Free Trial
Richard B. D’Eath
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106
Publications
3,722
Citation Statements Received
2,367
Citation Statements Given
How they've been cited
5,102
180
3,506
36
How they cite others
5,725
147
2,184
36
Affiliations
Scotland's Rural College
,
Scottish Agricultural Science Agency
Publications
Order By: Most citations
Investigating the behavioural and physiological indicators of neonatal survival in pigs
Baxter
1
,
Jarvis
2
,
D’Eath
3
et al.
2008
Theriogenology
312
32
253
5
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Cite
The welfare implications of large litter size in the domestic pig I: biological factors
Rutherford
1
,
Baxter
2
,
D’Eath
3
et al.
2013
Anim. welf.
Abstract
Show
323
6
243
1
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Cite
The welfare implications of large litter size in the domestic pig II: management factors
Baxter
1
,
D’Eath
2
,
Arnott
3
et al.
2013
Anim. welf.
Abstract
Show
208
3
189
0
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Cite
Injurious tail biting in pigs: how can it be controlled in existing systems without tail docking?
D’Eath
1
,
Arnott
2
,
Turner
3
et al.
2014
Animal
Abstract
Show
191
8
172
2
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Cite
Socialising piglets before weaning improves social hierarchy formation when pigs are mixed post-weaning
D’Eath
1
2005
Applied Animal Behaviour Science
173
15
135
1
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Cite
‘Freedom from hunger’ and preventing obesity: the animal welfare implications of reducing food quantity or quality
D’Eath
1
,
Tolkamp
2
,
Kyriazakis
3
et al.
2009
Animal Behaviour
213
4
131
0
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Cite
Genetic validation of postmixing skin injuries in pigs as an indicator of aggressiveness and the relationship with injuries under more stable social conditions
Turner
1
,
Roehe
2
,
D’Eath
3
et al.
2009
Journal of Animal Science
130
5
119
3
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Cite
Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review
Wurtz
1
,
Camerlink
2
,
D’Eath
3
et al.
2019
PLoS ONE
Abstract
Show
184
0
115
0
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Cite
1
2
3
4
5
6