Wayne Daley
Impact in
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
- Small Animals top 5%
- Animal Behavior and Welfare Studies
Papers in
-
- Advanced Chemical Sensor Technologies 5
- Co-authors
- David V. Anderson (5 shared papers)Kok-Meng Lee (3 shared papers)Colin Usher (10 shared papers)Mark W. Jackwood (2 shared papers)Qiang Li (1 shared paper)Gary McMurray (4 shared papers)Tom McKlin (1 shared paper)Christopher D. Thompson (3 shared papers)
- Journals
- Poultry Science (1 paper)PLoS ONE (1 paper)Animal Frontiers (1 paper)IEEE Transactions on Automation Science and Engineering (1 paper)Journal of The Electrochemical Society (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Wayne Daley
36 papers receiving 282 citations
Peers
Comparison fields: 5 of 78
- Developmental Biology 32
- Small Animals 69
- Animal Science and Zoology 86
- Media Technology 29
- Analytical Chemistry 30
Countries citing papers authored by Wayne Daley
This map shows the geographic impact of Wayne Daley'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 Wayne Daley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Daley more than expected).
Fields of papers citing papers by Wayne Daley
This network shows the impact of papers produced by Wayne Daley. 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 Wayne Daley. The network helps show where Wayne Daley may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Daley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 36 | |
| 2 | 2016 | 31 | |
| 3 | 2007 | 30 | |
| 4 | 2022 | 25 | |
| 5 | 1998 | 17 | |
| 6 | 2014 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2012 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 1995 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2005 | 8 | |
| 14 | 1993 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 1999 | 6 | |
| 17 | 2000 | 5 | |
| 18 | 1992 | 4 | |
| 19 | Development of an automated pavement crack sealing system. | 2010 | 4 |
| 20 | 2014 | 4 |
About Wayne Daley
Wayne Daley is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Animal Science and Zoology, Small Animals and Industrial and Manufacturing Engineering, having authored 39 papers that have together received 302 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (7 papers), Animal Behavior and Welfare Studies (7 papers), Advanced Chemical Sensor Technologies (5 papers), Meat and Animal Product Quality (4 papers), Smart Agriculture and AI (4 papers), Animal Nutrition and Physiology (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Developmental Biology (32 citations), Small Animals (69 citations), Animal Science and Zoology (86 citations), Media Technology (29 citations) and Analytical Chemistry (30 citations). Wayne Daley has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include David V. Anderson, Kok-Meng Lee, Colin Usher, Mark W. Jackwood, Qiang Li, Gary McMurray, Tom McKlin, Christopher D. Thompson, Jie Xu and Ryan R. Curtin. Their work appears in journals such as Poultry Science, PLoS ONE, Animal Frontiers, IEEE Transactions on Automation Science and Engineering and Journal of The Electrochemical Society.
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.