N.A. Lyons

755 total citations
21 papers, 552 citations indexed

About

N.A. Lyons is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology. According to data from OpenAlex, N.A. Lyons has authored 21 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 12 papers in Small Animals and 12 papers in Animal Science and Zoology. Recurrent topics in N.A. Lyons's work include Animal Behavior and Welfare Studies (12 papers), Effects of Environmental Stressors on Livestock (12 papers) and Milk Quality and Mastitis in Dairy Cows (10 papers). N.A. Lyons is often cited by papers focused on Animal Behavior and Welfare Studies (12 papers), Effects of Environmental Stressors on Livestock (12 papers) and Milk Quality and Mastitis in Dairy Cows (10 papers). N.A. Lyons collaborates with scholars based in Australia, Argentina and New Zealand. N.A. Lyons's co-authors include S.C. García, K.L. Kerrisk, Callum Eastwood, Cameron Clark, Peter C. Thomson, G. M. Cronin, Saranika Talukder, Javier Baudracco, N. López‐Villalobos and Navneet K. Dhand and has published in prestigious journals such as Journal of Dairy Science, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

N.A. Lyons

20 papers receiving 536 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.A. Lyons Australia 13 263 257 241 146 95 21 552
Maria Eugênia Andrighetto Canozzi Brazil 14 207 0.8× 149 0.6× 277 1.1× 169 1.2× 65 0.7× 66 609
Omar Hernández‐Mendo Mexico 13 237 0.9× 268 1.0× 278 1.2× 212 1.5× 90 0.9× 57 585
Anna Hessle Sweden 19 304 1.2× 393 1.5× 302 1.3× 200 1.4× 75 0.8× 53 859
Liliana Fadul-Pacheco United States 10 149 0.6× 91 0.4× 136 0.6× 94 0.6× 91 1.0× 19 380
A. J. Ayala‐Burgos Mexico 16 427 1.6× 109 0.4× 220 0.9× 128 0.9× 80 0.8× 56 690
J.A. Salfer United States 9 266 1.0× 433 1.7× 369 1.5× 187 1.3× 44 0.5× 14 631
Dominique Pomiès France 18 673 2.6× 235 0.9× 325 1.3× 388 2.7× 177 1.9× 42 966
Ludovic Brossard France 22 250 1.0× 582 2.3× 743 3.1× 249 1.7× 78 0.8× 36 1.2k
Michael F. Hutjens United States 12 514 2.0× 183 0.7× 212 0.9× 288 2.0× 74 0.8× 21 783
Gisèle Alexandre Guadeloupe 15 302 1.1× 100 0.4× 191 0.8× 263 1.8× 72 0.8× 65 637

Countries citing papers authored by N.A. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by N.A. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.A. Lyons. 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.A. Lyons. The network helps show where N.A. Lyons may publish in the future.

Co-authorship network of co-authors of N.A. Lyons

This figure shows the co-authorship network connecting the top 25 collaborators of N.A. Lyons. A scholar is included among the top collaborators of N.A. Lyons 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.A. Lyons. N.A. Lyons 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.
Messina, Valeria, et al.. (2025). Skimming and storage factors affect the detection of heat shock protein 70 in raw bovine milk. JDS Communications. 6(4). 578–582.
2.
Messina, Valeria, et al.. (2024). Graduate Student Literature Review: Potential use of HSP70 as an indicator of heat stress in dairy cows—A review. Journal of Dairy Science. 107(12). 11597–11610. 8 indexed citations
3.
4.
Lyons, N.A., et al.. (2022). Optimising profitability and productivity of pasture-based dairy farms with automatic milking systems. animal. 16(9). 100605–100605. 2 indexed citations
5.
Lyons, N.A., et al.. (2022). The AMS Integrated Management Model: A decision-support system for automatic milking systems. Computers and Electronics in Agriculture. 196. 106904–106904. 7 indexed citations
6.
Lyons, N.A., et al.. (2020). Modeling variability of the lactation curves of cows in automated milking systems. Journal of Dairy Science. 103(9). 8189–8196. 19 indexed citations
7.
Lyons, N.A., et al.. (2020). Physical and economic comparison of pasture-based automatic and conventional milking systems. Journal of Dairy Science. 103(9). 8231–8240. 12 indexed citations
8.
Clark, Cameron, et al.. (2020). Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data. Remote Sensing. 12(19). 3222–3222. 29 indexed citations
9.
Baudracco, Javier, et al.. (2019). Review: Milk production from dairy cows in Argentina: Current state and perspectives for the future. Applied Animal Science. 35(4). 426–432. 29 indexed citations
10.
Eastwood, Callum, et al.. (2018). Dairy farmers with larger herd sizes adopt more precision dairy technologies. Journal of Dairy Science. 101(6). 5466–5473. 144 indexed citations
11.
Thomson, Peter C., et al.. (2018). Development of a new clinical mastitis detection method for automatic milking systems. Journal of Dairy Science. 101(10). 9385–9395. 44 indexed citations
12.
López‐Villalobos, N., et al.. (2017). Productive, economic and risk assessment of grazing dairy systems with supplemented cows milked once a day. animal. 12(5). 1077–1083. 7 indexed citations
13.
Clark, Cameron, et al.. (2017). Early detection of clinical mastitis from electrical conductivity data in an automatic milking system. Animal Production Science. 57(7). 1226–1232. 43 indexed citations
14.
Lyons, N.A. & K.L. Kerrisk. (2017). Current and potential system performance on commercial automatic milking farms. Animal Production Science. 57(7). 1550–1556. 13 indexed citations
15.
Clark, Cameron, N.A. Lyons, Saranika Talukder, et al.. (2014). Rumination and activity levels as predictors of calving for dairy cows. animal. 9(4). 691–695. 51 indexed citations
16.
Lyons, N.A., K.L. Kerrisk, Navneet K. Dhand, Virgil E. Scott, & S.C. García. (2014). Animal behavior and pasture depletion in a pasture-based automatic milking system. animal. 8(9). 1506–1515. 9 indexed citations
17.
Scott, Virgil E., K.L. Kerrisk, Peter C. Thomson, N.A. Lyons, & S.C. García. (2014). Voluntary cow traffic and behaviour in the premilking yard of a pasture-based automatic milking system with a feed supplementation regime. Livestock Science. 171. 52–63. 12 indexed citations
18.
Lyons, N.A., K.L. Kerrisk, & S.C. García. (2013). Comparison of 2 systems of pasture allocation on milking intervals and total daily milk yield of dairy cows in a pasture-based automatic milking system. Journal of Dairy Science. 96(7). 4494–4504. 34 indexed citations
19.
Lyons, N.A., K.L. Kerrisk, & S.C. García. (2013). Effect of pre- versus postmilking supplementation on traffic and performance of cows milked in a pasture-based automatic milking system. Journal of Dairy Science. 96(7). 4397–4405. 12 indexed citations
20.
Lyons, N.A., K.L. Kerrisk, Navneet K. Dhand, & S.C. García. (2013). Factors associated with extended milking intervals in a pasture-based automatic milking system. Livestock Science. 158(1-3). 179–188. 16 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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