Emma Baxter

3.4k total citations
75 papers, 2.2k citations indexed

About

Emma Baxter is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Emma Baxter has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Small Animals, 39 papers in Animal Science and Zoology and 27 papers in Genetics. Recurrent topics in Emma Baxter's work include Animal Behavior and Welfare Studies (53 papers), Animal Nutrition and Physiology (33 papers) and Human-Animal Interaction Studies (16 papers). Emma Baxter is often cited by papers focused on Animal Behavior and Welfare Studies (53 papers), Animal Nutrition and Physiology (33 papers) and Human-Animal Interaction Studies (16 papers). Emma Baxter collaborates with scholars based in United Kingdom, United States and Ireland. Emma Baxter's co-authors include S.A. Edwards, A.B. Lawrence, Marianne Farish, Richard B. D’Eath, Sheena K. Robson, Susan Jarvis, Simon P. Turner, R. Roehe, Suzanne Jarvis and Sarah H. Ison and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Emma Baxter

65 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Baxter United Kingdom 23 1.7k 1.3k 654 354 204 75 2.2k
Janice M. Siegford United States 30 1.6k 0.9× 1.4k 1.0× 583 0.9× 335 0.9× 196 1.0× 95 2.4k
Marianne Farish United Kingdom 20 991 0.6× 680 0.5× 453 0.7× 228 0.6× 140 0.7× 42 1.5k
Andrew Fisher Australia 31 1.8k 1.1× 1.4k 1.1× 987 1.5× 530 1.5× 247 1.2× 139 3.0k
Lene Juul Pedersen Denmark 35 3.3k 1.9× 2.8k 2.1× 1.0k 1.6× 611 1.7× 306 1.5× 151 3.9k
J.E. Bolhuis Netherlands 29 1.7k 1.0× 1.5k 1.2× 568 0.9× 154 0.4× 149 0.7× 78 2.4k
Jean‐Loup Rault Australia 27 1.6k 0.9× 1.0k 0.8× 937 1.4× 137 0.4× 225 1.1× 116 2.3k
Christel Moons Belgium 20 855 0.5× 670 0.5× 353 0.5× 150 0.4× 150 0.7× 67 1.4k
Irene Camerlink United Kingdom 26 1.3k 0.8× 775 0.6× 658 1.0× 124 0.4× 203 1.0× 86 1.8k
Laura Hänninen Finland 28 1.3k 0.8× 969 0.7× 773 1.2× 410 1.2× 148 0.7× 75 2.1k
Mette S. Herskin Denmark 29 2.0k 1.2× 1.6k 1.2× 747 1.1× 620 1.8× 156 0.8× 132 2.6k

Countries citing papers authored by Emma Baxter

Since Specialization
Citations

This map shows the geographic impact of Emma Baxter'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 Emma Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Baxter more than expected).

Fields of papers citing papers by Emma Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma Baxter. 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 Emma Baxter. The network helps show where Emma Baxter may publish in the future.

Co-authorship network of co-authors of Emma Baxter

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Baxter. A scholar is included among the top collaborators of Emma Baxter 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 Emma Baxter. Emma Baxter 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.
Baxter, Emma, Marianne Farish, Kenny Rutherford, et al.. (2025). Deep Learning-Based Classification of Stress in Sows Using Facial Images. 390–396.
2.
Baxter, Emma, et al.. (2024). Factors contributing to high performance of sows in free farrowing systems. Porcine Health Management. 10(1). 16–16. 2 indexed citations
3.
Baxter, Emma, Dorothy McKeegan, Marianne Farish, et al.. (2022). Characterizing candidate decompression rates for hypobaric hypoxic stunning of pigs. Part 2: Pathological consequences. Frontiers in Veterinary Science. 9. 1027883–1027883. 1 indexed citations
4.
Martin, Jessica, Emma Baxter, Marianne Farish, et al.. (2022). Characterizing candidate decompression rates for hypobaric hypoxic stunning of pigs. Part 1: Reflexive behavior and physiological responses. Frontiers in Veterinary Science. 9. 1027878–1027878. 1 indexed citations
5.
6.
Farish, Marianne, et al.. (2021). Minimally invasive biomarkers to detect maternal physiological status in sow saliva and milk. animal. 15(11). 100369–100369. 7 indexed citations
7.
Baxter, Emma, et al.. (2020). Sow behaviour and piglet weight gain after late cross-fostering in farrowing crates and pens. animal. 14(9). 1923–1933. 2 indexed citations
8.
Baxter, Emma & S.A. Edwards. (2019). Determining piglet survival. Bioscientifica Proceedings. 4 indexed citations
9.
D’Eath, Richard B., et al.. (2018). Automatic early warning of tail biting in pigs: 3D cameras can detect lowered tail posture before an outbreak. PLoS ONE. 13(4). e0194524–e0194524. 86 indexed citations
10.
Baxter, Emma, et al.. (2018). Early indicators of tail biting outbreaks in pigs. Applied Animal Behaviour Science. 208. 7–13. 28 indexed citations
11.
Baxter, Emma, et al.. (2018). Consistency is key: interactions of current and previous farrowing system on litter size and piglet mortality. animal. 13(1). 180–188. 20 indexed citations
12.
Schmitt, Océane, Emma Baxter, Laura Boyle, & Keelin O’Driscoll. (2018). Nurse sow strategies in the domestic pig: II. Consequences for piglet growth, suckling behaviour and sow nursing behaviour. animal. 13(3). 590–599. 19 indexed citations
13.
Baxter, Emma, et al.. (2016). Positive and negative gestational handling influences placental traits and mother-offspring behavior in dairy goats. Physiology & Behavior. 157. 129–138. 29 indexed citations
14.
Ahmadi, Bouda Vosough, Alistair W. Stott, Emma Baxter, A.B. Lawrence, & S.A. Edwards. (2011). Animal welfare and economic optimisation of farrowing systems. Animal Welfare. 20(1). 57–67. 19 indexed citations
15.
Baxter, Emma, et al.. (2010). Improving young people’s health and wellbeing: a framework for public health. 4 indexed citations
16.
Baxter, Emma, A.B. Lawrence, & S.A. Edwards. (2010). Alternative farrowing systems: design criteria for farrowing systems based on the biological needs of sows and piglets. animal. 5(4). 580–600. 95 indexed citations
17.
Roehe, R., Nirman Shrestha, Wagdy Mekkawy, et al.. (2009). Genetic parameters of piglet survival and birth weight from a two-generation crossbreeding experiment under outdoor conditions designed to disentangle direct and maternal effects1. Journal of Animal Science. 88(4). 1276–1285. 36 indexed citations
18.
Roehe, R., Nirman Shrestha, Wagdy Mekkawy, et al.. (2008). Genetic analysis of a two generation selection experiment under outdoor conditions designed to disentangle direct and maternal genetic effects of piglet survival. Proceedings of the British Society of Animal Science. 2008. 105–105. 1 indexed citations
19.
Jarvis, Susan, C. Moinard, Sheena K. Robson, et al.. (2005). Programming the offspring of the pig by prenatal social stress: Neuroendocrine activity and behaviour. Hormones and Behavior. 49(1). 68–80. 124 indexed citations
20.
Baxter, Emma & A. B. Plowman. (2001). The Effect of Increasing Dietary Fibre on Feeding, Rumination and Oral Stereotypies in Captive Giraffes (Giraffa Camelopardalis). Animal Welfare. 10(3). 281–290. 44 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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