William Andrew
Impact in
- Small Animals top 5%
- Animal Behavior and Welfare Studies
- Food Science top 5%
- Food Supply Chain Traceability
Papers in
-
- Food Supply Chain Traceability 5
-
- Advanced Image and Video Retrieval Techniques 3
- Video Surveillance and Tracking Methods 2
- Robotic Path Planning Algorithms 1
- Advanced Neural Network Applications 1
- Co-authors
- Tilo Burghardt (7 shared papers)Colin Greatwood (3 shared papers)Neill Campbell (4 shared papers)Siobhan Mullan (2 shared papers)Andrew W. Dowsey (2 shared papers)Sion Hannuna (2 shared papers)Melvyn Smith (1 shared paper)Mark Hansen (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (2 papers)Explore Bristol Research (1 paper)Bristol Research (University of Bristol) (4 papers)
- Partner nations
- United Kingdom
In The Last Decade
William Andrew
7 papers receiving 289 citations
Peers
Comparison fields: 5 of 43
- Small Animals 102
- Food Science 159
- Computer Vision and Pattern Recognition 97
- Animal Science and Zoology 44
- Agronomy and Crop Science 26
Countries citing papers authored by William Andrew
This map shows the geographic impact of William Andrew'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 William Andrew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Andrew more than expected).
Fields of papers citing papers by William Andrew
This network shows the impact of papers produced by William Andrew. 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 William Andrew. The network helps show where William Andrew may publish in the future.
Co-authors
The 8 scholars most cited alongside William Andrew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 109 | |
| 2 | 2017 | 105 | |
| 3 | 2016 | 37 | |
| 4 | 2024 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 2018 | 9 | |
| 7 | 2020 | 3 |
About William Andrew
William Andrew is a scholar working on Food Science, Computer Vision and Pattern Recognition, Small Animals, Molecular Biology and Animal Science and Zoology, having authored 7 papers that have together received 290 indexed citations. Recurring topics across this work include Food Supply Chain Traceability (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Video Surveillance and Tracking Methods (2 papers), Animal Behavior and Welfare Studies (2 papers), Effects of Environmental Stressors on Livestock (1 paper), Identification and Quantification in Food (1 paper), Robotic Path Planning Algorithms (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Small Animals (102 citations), Food Science (159 citations), Computer Vision and Pattern Recognition (97 citations), Animal Science and Zoology (44 citations) and Agronomy and Crop Science (26 citations). William Andrew has collaborated with scholars based in United Kingdom. Frequent co-authors include Tilo Burghardt, Colin Greatwood, Neill Campbell, Siobhan Mullan, Andrew W. Dowsey, Sion Hannuna, Melvyn Smith and Mark Hansen. Their work appears in journals such as Computers and Electronics in Agriculture, Explore Bristol Research and Bristol Research (University of Bristol).
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.