Stephen G. Matthews
- Small Animals top 1%
- Animal Science and Zoology top 5%
- Food Science top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- I. KyriazakisThomas PlötzAmy L. MillerAdrian A. HopgoodMario GóngoraSamad AhmadiRobin ThompsonHomeira Pajoohesh
- Topics
- Data Mining Algorithms and Applications (6 papers)Rough Sets and Fuzzy Logic (4 papers)Animal Behavior and Welfare Studies (3 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Stephen G. Matthews
15 papers receiving 396 citations
Peers
Comparison fields: 5 of 76
- Small Animals 240
- Animal Science and Zoology 159
- Food Science 91
- Information Systems 57
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Stephen G. Matthews
This map shows the geographic impact of Stephen G. Matthews'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 Stephen G. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. Matthews more than expected).
Fields of papers citing papers by Stephen G. Matthews
This network shows the impact of papers produced by Stephen G. Matthews. 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 Stephen G. Matthews. The network helps show where Stephen G. Matthews may publish in the future.
Co-authorship network of co-authors of Stephen G. Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. Matthews. A scholar is included among the top collaborators of Stephen G. Matthews 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 Stephen G. Matthews. Stephen G. Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 125 | |
| 3 | 184 | |
| 4 | 1 | |
| 5 | The 14th International Conference on the Synthesis and Simulation of Living Systems (ALife 2014) | 1 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 36 | |
| 10 | 1 | |
| 11 | Visual Analytics in the Cyber Security Operations Centre | 4 |
| 12 | 12 | |
| 13 | 8 | |
| 14 | Teaching Robotics at the Postgraduate Level: Assessment and Feedback for On Site and Distance Learning | 3 |
| 15 | 0 | |
| 16 | 9 | |
| 17 | 0 |
About Stephen G. Matthews
Stephen G. Matthews is a scholar working on Small Animals, Computational Theory and Mathematics and Animal Science and Zoology, having authored 17 papers that have together received 417 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (4 papers) and Animal Behavior and Welfare Studies (3 papers). The work is most often cited by research in Small Animals (240 citations), Animal Science and Zoology (159 citations) and Food Science (91 citations). Stephen G. Matthews has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include I. Kyriazakis, Thomas Plötz, Amy L. Miller, Adrian A. Hopgood, Mario Góngora, Samad Ahmadi, Robin Thompson, Homeira Pajoohesh, Ralph Kopperman and Simon Coupland. Their work appears in journals such as Scientific Reports, Computers and Electronics in Agriculture and Knowledge-Based Systems.
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.