Linda Keeling

11.2k total citations · 2 hit papers
181 papers, 8.0k citations indexed

About

Linda Keeling is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Linda Keeling has authored 181 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Small Animals, 89 papers in Animal Science and Zoology and 45 papers in Genetics. Recurrent topics in Linda Keeling's work include Animal Behavior and Welfare Studies (118 papers), Animal Nutrition and Physiology (75 papers) and Human-Animal Interaction Studies (40 papers). Linda Keeling is often cited by papers focused on Animal Behavior and Welfare Studies (118 papers), Animal Nutrition and Physiology (75 papers) and Human-Animal Interaction Studies (40 papers). Linda Keeling collaborates with scholars based in Sweden, United Kingdom and Netherlands. Linda Keeling's co-authors include I. Anna S. Olsson, Therese Rehn, Björn Forkman, Ruth C. Newberry, Inma Estévez, Isabelle Veissier, Tina McAdie, H.J. Blokhuis, I.J.H. Duncan and Christoph Winckler and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Linda Keeling

176 papers receiving 7.5k citations

Hit Papers

Assessment of positive emotions in animals to improve the... 2007 2026 2013 2019 2007 2025 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Linda Keeling Sweden 51 5.4k 4.3k 2.4k 969 890 181 8.0k
Alain Boissy France 45 5.3k 1.0× 3.4k 0.8× 3.2k 1.4× 1.2k 1.2× 840 0.9× 122 7.4k
Björn Forkman Denmark 38 4.2k 0.8× 2.7k 0.6× 2.5k 1.1× 869 0.9× 774 0.9× 136 6.2k
Donald M. Broom United Kingdom 50 6.1k 1.1× 4.0k 0.9× 3.0k 1.3× 1.0k 1.0× 1.5k 1.7× 182 9.0k
H.J. Blokhuis Netherlands 54 5.1k 0.9× 4.7k 1.1× 1.7k 0.7× 1.4k 1.4× 1.1k 1.3× 131 9.2k
Isabelle Veissier France 48 6.2k 1.1× 4.2k 1.0× 3.2k 1.4× 700 0.7× 1.1k 1.2× 158 8.1k
Christine J Nicol United Kingdom 63 7.2k 1.3× 7.1k 1.6× 1.8k 0.8× 1.2k 1.2× 988 1.1× 282 11.8k
C.G. van Reenen Netherlands 38 3.7k 0.7× 2.6k 0.6× 1.6k 0.7× 974 1.0× 821 0.9× 107 6.6k
Michael Mendl United Kingdom 53 7.4k 1.4× 3.8k 0.9× 4.0k 1.7× 2.7k 2.8× 1.3k 1.4× 245 10.8k
Temple Grandin United States 50 4.8k 0.9× 4.3k 1.0× 2.5k 1.1× 428 0.4× 785 0.9× 272 9.4k
I.J.H. Duncan Canada 50 4.1k 0.8× 3.8k 0.9× 1.7k 0.7× 851 0.9× 842 0.9× 142 6.9k

Countries citing papers authored by Linda Keeling

Since Specialization
Citations

This map shows the geographic impact of Linda Keeling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Linda Keeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Keeling more than expected).

Fields of papers citing papers by Linda Keeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda Keeling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Linda Keeling. The network helps show where Linda Keeling may publish in the future.

Co-authorship network of co-authors of Linda Keeling

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Keeling. A scholar is included among the top collaborators of Linda Keeling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda Keeling. Linda Keeling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Agenäs, Sigrid, et al.. (2025). Plasma oxytocin in dry dairy cows after using a mechanical brush. JDS Communications. 6(4). 573–577.
2.
Karlsson, Louise, Linda Keeling, & Elin Röös. (2025). What is a better chicken? Exploring trade-offs between animal welfare and greenhouse gas emissions in higher-welfare broiler systems. Sustainable Production and Consumption. 55. 203–216.
3.
Jensen, Margit Bak, et al.. (2024). Lifting farm animal lives - laying the foundations for positive animal welfare. 1 indexed citations
4.
5.
Huang, Yi, Else Verbeek, Linda Keeling, et al.. (2023). Age Rather Than Supplementation with Oat β-Glucan Influences Development of the Intestinal Microbiota and SCFA Concentrations in Suckling Piglets. Animals. 13(8). 1349–1349. 6 indexed citations
6.
Comin, Arianna, et al.. (2023). Can we use meat inspection data for animal health and welfare surveillance?. Frontiers in Veterinary Science. 10. 1129891–1129891. 2 indexed citations
7.
Newberry, Ruth C., et al.. (2023). Environmental change or choice during early rearing improves behavioural adaptability in laying hen chicks. Scientific Reports. 13(1). 6178–6178. 6 indexed citations
8.
Keeling, Linda, et al.. (2020). Litter and perch type matter already from the start: exploring preferences and perch balance in laying hen chicks. Poultry Science. 100(2). 431–440. 20 indexed citations
9.
Söderlund, Robert, David A. Wilkinson, Erik Eriksson, et al.. (2019). Risk factors and dynamics of verotoxigenic Escherichia coli O157:H7 on cattle farms: An observational study combining information from questionnaires, spatial data and molecular analyses. Preventive Veterinary Medicine. 170. 104726–104726. 8 indexed citations
10.
Oliveira, Daiana de & Linda Keeling. (2018). Routine activities and emotion in the life of dairy cows: Integrating body language into an affective state framework. PLoS ONE. 13(5). e0195674–e0195674. 48 indexed citations
11.
Zidar, Josefina, et al.. (2018). Environmental complexity buffers against stress-induced negative judgement bias in female chickens. Scientific Reports. 8(1). 5404–5404. 49 indexed citations
12.
Hitchens, Peta L., Jan Hultgren, Jenny Frössling, Ulf Emanuelson, & Linda Keeling. (2016). An epidemiological analysis of equine welfare data from regulatory inspections by the official competent authorities. animal. 11(7). 1237–1248. 15 indexed citations
13.
Valros, Anna, Mari Heinonen, Camilla Munsterhjelm, et al.. (2015). Evidence for a link between tail biting and central monoamine metabolism in pigs (Sus scrofa domestica). Physiology & Behavior. 143. 151–157. 36 indexed citations
14.
McGowan, Ragen T. S., et al.. (2013). Positive affect and learning: exploring the “Eureka Effect” in dogs. Animal Cognition. 17(3). 577–587. 63 indexed citations
15.
Buijs, Stephanie, Linda Keeling, Carl Vangestel, et al.. (2010). Resting or hiding? Why broiler chickens stay near walls and how density affects this. Applied Animal Behaviour Science. 124(3-4). 97–103. 55 indexed citations
17.
Olsson, I. Anna S., Linda Keeling, & Tina McAdie. (2002). The Push-Door for Measuring Motivation in Hens: An Adaptation and a Critical Discussion of the Method. Animal Welfare. 11(1). 1–10. 37 indexed citations
18.
Keeling, Linda, et al.. (2002). Behaviour of laying hens in two types of aviary systems on 25 commercial farms in Sweden. British Poultry Science. 43(2). 169–181. 109 indexed citations
19.
Newberry, Ruth C., Inma Estévez, & Linda Keeling. (2001). Group size and perching behaviour in young domestic fowl. Applied Animal Behaviour Science. 73(2). 117–129. 153 indexed citations
20.
WILSON, H.R. & Linda Keeling. (1991). Effect of Time of Feeding on Oviposition Time and Production Parameters in Broiler Breeders. Poultry Science. 70(2). 254–259. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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