Barbara Wadsworth

703 total citations
10 papers, 535 citations indexed

About

Barbara Wadsworth is a scholar working on Animal Science and Zoology, Small Animals and Food Science. According to data from OpenAlex, Barbara Wadsworth has authored 10 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Animal Science and Zoology, 5 papers in Small Animals and 3 papers in Food Science. Recurrent topics in Barbara Wadsworth's work include Effects of Environmental Stressors on Livestock (7 papers), Animal Behavior and Welfare Studies (5 papers) and Food Supply Chain Traceability (3 papers). Barbara Wadsworth is often cited by papers focused on Effects of Environmental Stressors on Livestock (7 papers), Animal Behavior and Welfare Studies (5 papers) and Food Supply Chain Traceability (3 papers). Barbara Wadsworth collaborates with scholars based in United States and United Kingdom. Barbara Wadsworth's co-authors include J.M. Bewley, Yu‐Mei Chang, M.R. Borchers, A.E. Stone, Kathryn L. Proudfoot, D.L. Ray, G. Heersche, K.A. Dolecheck, W.J. Silvia and Yu‐Ming Chang and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Agricultural Economics.

In The Last Decade

Barbara Wadsworth

10 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Wadsworth United States 4 328 302 175 168 87 10 535
Thomas G. Field United States 10 336 1.0× 119 0.4× 162 0.9× 115 0.7× 56 0.6× 29 536
F. Soberon United States 10 291 0.9× 482 1.6× 158 0.9× 485 2.9× 20 0.2× 19 789
C.J. Rutten Netherlands 6 301 0.9× 303 1.0× 212 1.2× 256 1.5× 114 1.3× 12 581
G. J. T. Swanson United Kingdom 10 95 0.3× 93 0.3× 379 2.2× 330 2.0× 14 0.2× 40 447
Mário Fernando Cerón-Muñoz Colombia 14 273 0.8× 70 0.2× 432 2.5× 312 1.9× 134 1.5× 120 694
Clarissa Silva Cardoso Brazil 8 156 0.5× 357 1.2× 166 0.9× 102 0.6× 43 0.5× 10 481
Ana Vieira Portugal 12 183 0.6× 260 0.9× 173 1.0× 62 0.4× 17 0.2× 36 481
N.A. Lyons Australia 13 241 0.7× 257 0.9× 146 0.8× 263 1.6× 95 1.1× 21 552
R.W. Palmer United States 10 276 0.8× 253 0.8× 201 1.1× 244 1.5× 22 0.3× 15 491
M.R. Borchers United States 7 356 1.1× 335 1.1× 198 1.1× 214 1.3× 116 1.3× 12 556

Countries citing papers authored by Barbara Wadsworth

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Wadsworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Wadsworth

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

All Works

10 of 10 papers shown
1.
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
2.
Borchers, M.R., et al.. (2016). A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors. Journal of Dairy Science. 99(9). 7458–7466. 181 indexed citations
3.
Wadsworth, Barbara, et al.. (2016). 0064 Identification of lameness using lying time, rumination time, neck activity, reticulorumen temperature, and milk yield. Journal of Animal Science. 94(suppl_5). 29–29. 3 indexed citations
4.
Wadsworth, Barbara, et al.. (2016). 0048 Effects of a low moisture block supplement on cow distribution and time budget. Journal of Animal Science. 94(suppl_5). 22–22. 1 indexed citations
5.
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
6.
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
7.
Wadsworth, Barbara, et al.. (2015). Managing Precision Dairy Farming Technologies. UKnowledge (University of Kentucky). 1 indexed citations
8.
Wadsworth, Barbara. (2014). THE IMPACT OF DUAL CHAMBER COW WATERBEDS AS A FREESTALL BASE. UKnowledge (University of Kentucky). 2 indexed citations
9.
Wadsworth, Barbara, et al.. (2009). An automated solution for managing your workforce. Nursing Management. 40(6). 49–51. 3 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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