Tomás Norton

8.0k total citations · 1 hit paper
159 papers, 5.7k citations indexed

About

Tomás Norton is a scholar working on Animal Science and Zoology, Small Animals and Food Science. According to data from OpenAlex, Tomás Norton has authored 159 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Animal Science and Zoology, 62 papers in Small Animals and 23 papers in Food Science. Recurrent topics in Tomás Norton's work include Animal Behavior and Welfare Studies (62 papers), Effects of Environmental Stressors on Livestock (39 papers) and Meat and Animal Product Quality (25 papers). Tomás Norton is often cited by papers focused on Animal Behavior and Welfare Studies (62 papers), Effects of Environmental Stressors on Livestock (39 papers) and Meat and Animal Product Quality (25 papers). Tomás Norton collaborates with scholars based in Belgium, China and United Kingdom. Tomás Norton's co-authors include Da‐Wen Sun, Daniël Berckmans, Richard Fallon, Jim Grant, Brijesh K. Tiwari, Chen Chen, Weixing Zhu, Ivan G. Grove, Sven Peets and David B. Lindenmayer and has published in prestigious journals such as PLoS ONE, Bioresource Technology and International Journal of Molecular Sciences.

In The Last Decade

Tomás Norton

149 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning

2021 129 citations Tomás Norton et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomás Norton Belgium	40	1.5k	1.4k	1.1k	1.1k	797	159	5.7k
Daniël Berckmans Belgium	52	4.6k 3.1×	4.6k 3.2×	1.3k 1.2×	1.2k 1.1×	652 0.8×	496	10.2k
Wouter Saeys Belgium	55	1.3k 0.9×	562 0.4×	1.4k 1.3×	3.1k 2.9×	694 0.9×	321	11.6k
E. Kebreab United States	58	2.9k 2.0×	764 0.5×	657 0.6×	1.4k 1.3×	3.8k 4.7×	312	12.5k
J. France Canada	61	3.3k 2.2×	750 0.5×	635 0.6×	1.4k 1.3×	2.2k 2.8×	324	13.1k
Patrick D. Gerard United States	39	1.2k 0.8×	126 0.1×	1.0k 0.9×	932 0.9×	1.0k 1.3×	278	5.8k
Josse De Baerdemaeker Belgium	58	2.0k 1.3×	218 0.2×	1.7k 1.5×	3.7k 3.4×	946 1.2×	384	11.6k
J. Dijkstra Netherlands	70	3.8k 2.5×	1.2k 0.9×	873 0.8×	1.4k 1.3×	3.2k 4.1×	435	17.3k
A. Gilmour Australia	44	1.2k 0.8×	412 0.3×	1.5k 1.4×	1.9k 1.7×	405 0.5×	146	7.5k
L. Shalloo Ireland	44	1.1k 0.8×	812 0.6×	586 0.5×	393 0.4×	2.0k 2.5×	200	5.8k
Greg Bishop-Hurley Australia	29	744 0.5×	993 0.7×	517 0.5×	370 0.3×	438 0.5×	95	2.9k

Countries citing papers authored by Tomás Norton

Since Specialization

Citations

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

Fields of papers citing papers by Tomás Norton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Norton

This figure shows the co-authorship network connecting the top 25 collaborators of Tomás Norton. A scholar is included among the top collaborators of Tomás Norton 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 Tomás Norton. Tomás Norton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Daniel, K., et al.. (2025). Deep learning for visual animal monitoring (detection, tracking, pose estimation, and behavior classification): A comprehensive review. Smart Agricultural Technology. 12. 101539–101539. 1 indexed citations

Norton, Tomás, et al.. (2025). Precision livestock farming in buffalo species: a sustainable approach for the future. Smart Agricultural Technology. 11. 101060–101060. 1 indexed citations

Gan, Haiming, et al.. (2025). Occlusion-robust detection of sow-induced piglet crushing incidents using spatial and motion reasoning. Computers and Electronics in Agriculture. 231. 109961–109961. 1 indexed citations

Wu, Zhenlong, et al.. (2025). How AI Improves Sustainable Chicken Farming: A Literature Review of Welfare, Economic, and Environmental Dimensions. Agriculture. 15(19). 2028–2028. 1 indexed citations

Hertem, T. van, et al.. (2025). Monitoring night-time activity and perch occupation of laying hens using night-vision cameras for the early detection of poultry red mite: A proof of concept. Applied Animal Behaviour Science. 283. 106517–106517.

Willemsen, H., et al.. (2025). Assessing thermal comfort for day-old broilers: A novel thermal stress index using computer vision. Biosystems Engineering. 260. 104302–104302.

Shi, Jinjin, Yanli Zhang, Ping Gong, et al.. (2025). Detection of estrous ewes’ tail-wagging behavior in group-housed environments using Temporal-Boost 3D convolution. Computers and Electronics in Agriculture. 234. 110283–110283.

Wei, Hao, Jianwei Zhang, Xu Wang, et al.. (2025). Clip-assisted flower detection and wind-compensated precision liquid pollination robot for kiwifruit orchards. Computers and Electronics in Agriculture. 241. 111250–111250.

Wei, Hao, et al.. (2025). Design and experiment of pollination wind tunnels: a novel approach for studying artificial pollination in kiwifruits. Computers and Electronics in Agriculture. 237. 110644–110644. 1 indexed citations

10.

Kriengwatana, Buddhamas, et al.. (2024). An Interactive Feeder to Induce and Assess Emotions from Vocalisations of Chickens. Animals. 14(9). 1386–1386. 3 indexed citations

11.

Gan, Haiming, Kai Liu, Hui Zhou, et al.. (2023). Counting piglet suckling events using deep learning-based action density estimation. Computers and Electronics in Agriculture. 210. 107877–107877. 8 indexed citations

12.

Psota, Eric, et al.. (2023). Where's your head at? Detecting the orientation and position of pigs with rotated bounding boxes. Computers and Electronics in Agriculture. 212. 108099–108099. 23 indexed citations

13.

Larsen, Mona Lilian Vestbjerg, et al.. (2023). Automatic detection of locomotor play in young pigs: A proof of concept. Biosystems Engineering. 229. 154–166. 9 indexed citations

14.

Liu, Dong, De Wardener He, Chen Chen, et al.. (2021). Recognition of Aggressive Behaviour in Group-housed Pigs Based on ALR-GMM. Lirias (KU Leuven). 2 indexed citations

15.

Lu, Mingzhou, et al.. (2021). Short-term feeding behaviour sound classification method for sheep using LSTM networks. International journal of agricultural and biological engineering. 14(2). 43–54. 3 indexed citations

16.

Groef, Lies De, Tomás Norton, Pieter Baatsen, et al.. (2021). Renal and Extra Renal Manifestations in Adult Zebrafish Model of Cystinosis. International Journal of Molecular Sciences. 22(17). 9398–9398. 4 indexed citations

17.

Ellen, E.D., Janice M. Siegford, Michael J. Toscano, et al.. (2019). Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking. Animals. 9(3). 108–108. 40 indexed citations

18.

Lu, Mingzhou, et al.. (2018). Extracting body surface dimensions from top-view images of pigs. International journal of agricultural and biological engineering. 11(5). 182–191. 2 indexed citations

19.

Hertem, T. van, Tomás Norton, Daniël Berckmans, & Erik Vranken. (2018). Predicting broiler gait scores from activity monitoring and flock data. Biosystems Engineering. 173. 93–102. 49 indexed citations

20.

Farmer, Elizabeth, et al.. (2009). The impact of remote sensing platform and spatial resolution on the detection of woody vegetation: Implications for environmental and conservation applications. Journal of Psychosomatic Research. 1(2). 745–754. 1 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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