A.E. Stone

1.2k total citations
33 papers, 873 citations indexed

About

A.E. Stone is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Small Animals. According to data from OpenAlex, A.E. Stone has authored 33 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Animal Science and Zoology, 14 papers in Agronomy and Crop Science and 13 papers in Small Animals. Recurrent topics in A.E. Stone's work include Effects of Environmental Stressors on Livestock (18 papers), Animal Behavior and Welfare Studies (13 papers) and Weed Control and Herbicide Applications (9 papers). A.E. Stone is often cited by papers focused on Effects of Environmental Stressors on Livestock (18 papers), Animal Behavior and Welfare Studies (13 papers) and Weed Control and Herbicide Applications (9 papers). A.E. Stone collaborates with scholars based in United States, United Kingdom and China. A.E. Stone's co-authors include J.M. Bewley, R.J. Collier, Barbara Wadsworth, Barbara W. Jones, M.R. Borchers, Kathryn L. Proudfoot, Yu‐Mei Chang, Thomas F. Peeper, G. Heersche and W.J. Silvia and has published in prestigious journals such as Journal of Dairy Science, Sensors and Journal of Animal Science.

In The Last Decade

A.E. Stone

33 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.E. Stone United States 13 608 387 308 268 140 33 873
Vanessa Peripolli Brazil 14 518 0.9× 212 0.5× 267 0.9× 229 0.9× 48 0.3× 111 872
Ulises Macías‐Cruz Mexico 20 819 1.3× 297 0.8× 482 1.6× 343 1.3× 51 0.4× 151 1.3k
K.L. Kerrisk Australia 18 565 0.9× 462 1.2× 455 1.5× 253 0.9× 96 0.7× 49 928
Mahmoud S. El‐Tarabany Egypt 19 672 1.1× 98 0.3× 318 1.0× 277 1.0× 109 0.8× 76 995
Tiago do Prado Paim Brazil 17 439 0.7× 178 0.5× 279 0.9× 275 1.0× 81 0.6× 85 826
Stefano Biffani Italy 19 702 1.2× 230 0.6× 592 1.9× 789 2.9× 153 1.1× 107 1.5k
A. A. K. Salama Spain 22 735 1.2× 261 0.7× 672 2.2× 347 1.3× 70 0.5× 71 1.3k
J. Bohmanová Canada 15 898 1.5× 337 0.9× 525 1.7× 750 2.8× 118 0.8× 25 1.4k
Severiano Silva Portugal 19 730 1.2× 191 0.5× 305 1.0× 320 1.2× 80 0.6× 77 1.2k
Lenira El Faro Brazil 23 769 1.3× 231 0.6× 583 1.9× 1.1k 4.1× 367 2.6× 121 1.5k

Countries citing papers authored by A.E. Stone

Since Specialization
Citations

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

Fields of papers citing papers by A.E. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.E. Stone

This figure shows the co-authorship network connecting the top 25 collaborators of A.E. Stone. A scholar is included among the top collaborators of A.E. Stone 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 A.E. Stone. A.E. Stone 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.
Stone, A.E., et al.. (2025). Re-Evaluating the Use of Glyphosate-based Herbicides: Implications on Fertility. Reproductive Sciences. 32(4). 950–964. 4 indexed citations
2.
Webb, Stephen L., et al.. (2021). PSII-12 Identifying behaviors and the ‘normal’ daily ethogram using accelerometers on grazing animals. Journal of Animal Science. 99(Supplement_3). 319–320. 1 indexed citations
3.
Larson, J. E., et al.. (2020). Evaluation of production parameters and health of dairy cows treated with pegbovigrastim in the transition period. Preventive Veterinary Medicine. 176. 104931–104931. 6 indexed citations
4.
Stone, A.E., et al.. (2020). Graduate Student Literature Review: Heat abatement strategies used to reduce negative effects of heat stress in dairy cows. Journal of Dairy Science. 103(10). 9667–9675. 34 indexed citations
5.
Stone, A.E.. (2020). Symposium review: The most important factors affecting adoption of precision dairy monitoring technologies. Journal of Dairy Science. 103(6). 5740–5745. 18 indexed citations
6.
Collier, R.J., et al.. (2020). Invited review: Physiological and behavioral effects of heat stress in dairy cows. Journal of Dairy Science. 103(8). 6751–6770. 171 indexed citations
7.
Marufuzzaman, Mohammad, et al.. (2020). Predicting dairy cattle heat stress using machine learning techniques. Journal of Dairy Science. 104(1). 501–524. 50 indexed citations
8.
Krawczel, P.D., Christina S. Petersson‐Wolfe, Gina M. Pighetti, et al.. (2019). Comparing dairy farm milk yield and components, somatic cell score, and reproductive performance among United States regions using summer to winter ratios. Journal of Dairy Science. 102(12). 11777–11785. 16 indexed citations
9.
Silvia, W.J., D.L. Ray, Barbara W. Jones, et al.. (2019). Automated estrous detection using multiple commercial precision dairy monitoring technologies in synchronized dairy cows. Journal of Dairy Science. 102(3). 2645–2656. 75 indexed citations
10.
Borchers, M.R., Yu‐Mei Chang, Kathryn L. Proudfoot, et al.. (2017). Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle. Journal of Dairy Science. 100(7). 5664–5674. 181 indexed citations
11.
12.
Lau, Daniel L., et al.. (2015). Short communication: Measuring feed volume and weight by machine vision. Journal of Dairy Science. 99(1). 386–391. 29 indexed citations
13.
Dolecheck, K.A., W.J. Silvia, G. Heersche, et al.. (2015). Behavioral and physiological changes around estrus events identified using multiple automated monitoring technologies. Journal of Dairy Science. 98(12). 8723–8731. 90 indexed citations
14.
Wadsworth, Barbara, et al.. (2015). Stall cleanliness and stall temperature of two different freestall bases. Journal of Dairy Science. 98(6). 4206–4210. 3 indexed citations
15.
Wadsworth, Barbara, et al.. (2015). Managing Precision Dairy Farming Technologies. UKnowledge (University of Kentucky). 1 indexed citations
16.
Stone, A.E., et al.. (2015). Effect of alley-floor scraping frequency on Escherichia coli, Klebsiella species, environmental Streptococcus species, and coliform counts. The Professional Animal Scientist. 31(3). 284–289. 2 indexed citations
17.
Peeper, Thomas F., et al.. (2011). Italian Ryegrass (Lolium perenne), Feral Cereal Rye (Secale cereale), and Volunteer Wheat (Triticum aestivum) Control in Winter Canola. Weed Technology. 25(3). 344–349. 9 indexed citations
18.
Peeper, Thomas F., et al.. (2009). Efficacy of Propoxycarbazone-sodium for Cheat (Bromus secalinus) Control in Winter Wheat and Carryover on Double-Cropped Grain Sorghum. Weed Technology. 23(2). 202–205. 3 indexed citations
19.
Peeper, Thomas F., et al.. (2008). Variation in Characteristics and Imazamox Tolerance of Feral Rye. Agronomy Journal. 100(1). 198–204. 7 indexed citations
20.
Peeper, Thomas F., et al.. (2007). Italian Ryegrass (Lolium Multiflorum) Management Options in Winter Wheat in Oklahoma. Weed Technology. 21(1). 151–158. 18 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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