N.E. O’Connell

4.0k total citations
111 papers, 2.9k citations indexed

About

N.E. O’Connell is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, N.E. O’Connell has authored 111 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Small Animals, 75 papers in Animal Science and Zoology and 28 papers in Agronomy and Crop Science. Recurrent topics in N.E. O’Connell's work include Animal Behavior and Welfare Studies (75 papers), Animal Nutrition and Physiology (57 papers) and Meat and Animal Product Quality (21 papers). N.E. O’Connell is often cited by papers focused on Animal Behavior and Welfare Studies (75 papers), Animal Nutrition and Physiology (57 papers) and Meat and Animal Product Quality (21 papers). N.E. O’Connell collaborates with scholars based in United Kingdom, Ireland and Austria. N.E. O’Connell's co-authors include V.E. Beattie, C.L. Bailie, B.W. Moss, C.P. Ferris, Laura Boyle, Gareth Arnott, Peadar G. Lawlor, M.E.E. Ball, E. Magowan and Barbara U. Metzler-Zebeli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

N.E. O’Connell

108 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.E. O’Connell United Kingdom 30 1.9k 1.8k 592 579 262 111 2.9k
D. C. Lay United States 28 1.7k 0.9× 1.7k 0.9× 340 0.6× 471 0.8× 161 0.6× 116 2.7k
J.N. Marchant United States 32 2.4k 1.3× 2.1k 1.1× 438 0.7× 974 1.7× 271 1.0× 120 3.7k
Christian Fink Hansen Denmark 35 2.4k 1.3× 2.4k 1.3× 504 0.9× 824 1.4× 328 1.3× 111 3.8k
Birte L. Nielsen Denmark 32 1.4k 0.8× 1.6k 0.9× 651 1.1× 787 1.4× 270 1.0× 100 3.0k
Anna Valros Finland 37 3.0k 1.6× 2.3k 1.3× 804 1.4× 932 1.6× 252 1.0× 160 3.8k
Olli Peltoniemi Finland 34 2.2k 1.2× 1.7k 1.0× 977 1.7× 758 1.3× 205 0.8× 121 3.0k
Kym L. Butler Australia 28 1.1k 0.6× 1.2k 0.6× 502 0.8× 921 1.6× 293 1.1× 164 2.8k
Kenny Rutherford United Kingdom 25 1.4k 0.7× 930 0.5× 426 0.7× 540 0.9× 205 0.8× 55 1.9k
Lene Juul Pedersen Denmark 35 3.3k 1.7× 2.8k 1.5× 611 1.0× 1.0k 1.8× 306 1.2× 151 3.9k
Laura Boyle Ireland 34 2.5k 1.3× 1.9k 1.1× 1.1k 1.8× 842 1.5× 247 0.9× 159 3.3k

Countries citing papers authored by N.E. O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by N.E. O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.E. O’Connell. 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 N.E. O’Connell. The network helps show where N.E. O’Connell may publish in the future.

Co-authorship network of co-authors of N.E. O’Connell

This figure shows the co-authorship network connecting the top 25 collaborators of N.E. O’Connell. A scholar is included among the top collaborators of N.E. O’Connell 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 N.E. O’Connell. N.E. O’Connell 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.
Miller, Paul, Sean A. Irvine, Jesús Martínez del Rincón, et al.. (2025). Automated precision weighing: Leveraging 2D video feature analysis and machine learning for live body weight estimation of broiler chickens. Smart Agricultural Technology. 10. 100793–100793. 3 indexed citations
2.
O’Connell, N.E., et al.. (2025). Developing appropriate environmental enrichment strategies for broiler breeders. Scientific Reports. 15(1). 9738–9738.
4.
Miller, Paul, et al.. (2024). A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis. Computers and Electronics in Agriculture. 217. 108591–108591. 15 indexed citations
5.
Moore, Sarah E., Sarah Brennan, Fiona Lavelle, et al.. (2023). Capturing the whole-school food environment in primary schools. Public Health Nutrition. 26(8). 1671–1678. 3 indexed citations
8.
O’Connell, N.E., et al.. (2023). Large variation in the movement of individual broiler chickens tracked in a commercial house using ultra-wideband backpacks. Scientific Reports. 13(1). 7634–7634. 4 indexed citations
9.
Richmond, Anne, et al.. (2021). A comparison of fast growing broiler chickens with a slower-growing breed type reared on Higher Welfare commercial farms. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Brennan, Sarah, Fiona Lavelle, Sarah E. Moore, et al.. (2021). Food environment intervention improves food knowledge, wellbeing and dietary habits in primary school children: Project Daire, a randomised-controlled, factorial design cluster trial. International Journal of Behavioral Nutrition and Physical Activity. 18(1). 23–23. 34 indexed citations
12.
Teixeira, Dayane Lemos, Alison Hanlon, N.E. O’Connell, et al.. (2016). Study on the Association between Tail Lesion Score, Cold Carcass Weight, and Viscera Condemnations in Slaughter Pigs. Frontiers in Veterinary Science. 3. 24–24. 47 indexed citations
13.
Carroll, Grace, Laura Boyle, Dayane Lemos Teixeira, et al.. (2015). Effects of scalding and dehairing of pig carcasses at abattoirs on the visibility of welfare-related lesions. animal. 10(3). 460–467. 35 indexed citations
14.
Ferris, C.P., et al.. (2012). Are there benefits in introducing dairy heifers to the main dairy herd in the evening rather than the morning?. Journal of Dairy Science. 95(7). 3650–3661. 8 indexed citations
15.
Speijers, M.H.M., et al.. (2010). Effectiveness of different footbath solutions in the treatment of digital dermatitis in dairy cows. Journal of Dairy Science. 93(12). 5782–5791. 41 indexed citations
16.
Dawson, L.E.R., et al.. (2010). Lipid content and fatty acid composition of the digital cushion of bulls offered different amounts of linseed1. Journal of Animal Science. 88(7). 2403–2409. 6 indexed citations
18.
Khan, Shahbaz, et al.. (2005). A Farm Scale Hydrologic Economic Optimisation Model To Manage Waterlogging And Salinity In Irrigation Areas. Journal of Studies on Alcohol and Drugs. 79(4). 585–590. 4 indexed citations
19.
Reenen, C.G. van, N.E. O’Connell, S. Mechiel Korte, et al.. (2005). Responses of calves to acute stress: Individual consistency and relations between behavioral and physiological measures. Physiology & Behavior. 85(5). 557–570. 140 indexed citations
20.
Khan, Sikandar, et al.. (2001). Integrated hydrologic economic modelling techniques to develop local and regional policies for sustainable rice farming systems.. 2 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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