J. Austin
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Electrical and Electronic Engineering
- Signal Processing
- Co-authors
- Ping ZhouTom JacksonNick PearsS. R. MounceJoby BoxallRichard MounceSimon O’KeefeJoanna Hodge
- Topics
- Neural Networks and Applications (13 papers)Advanced Memory and Neural Computing (5 papers)Face and Expression Recognition (5 papers)
- Partner nations
- United KingdomCanada
In The Last Decade
J. Austin
25 papers receiving 214 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 113
- Computer Vision and Pattern Recognition 65
- Civil and Structural Engineering 46
- Electrical and Electronic Engineering 37
- Signal Processing 30
Countries citing papers authored by J. Austin
This map shows the geographic impact of J. Austin'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 J. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Austin more than expected).
Fields of papers citing papers by J. Austin
This network shows the impact of papers produced by J. Austin. 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 J. Austin. The network helps show where J. Austin may publish in the future.
Co-authorship network of co-authors of J. Austin
This figure shows the co-authorship network connecting the top 25 collaborators of J. Austin. A scholar is included among the top collaborators of J. Austin 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 J. Austin. J. Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 46 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 30 | |
| 13 | 3 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 0 |
About J. Austin
J. Austin is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 241 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Advanced Memory and Neural Computing (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Artificial Intelligence (113 citations), Computer Vision and Pattern Recognition (65 citations) and Signal Processing (30 citations). J. Austin has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include Ping Zhou, Tom Jackson, Nick Pears, S. R. Mounce, Joby Boxall, Richard Mounce, Simon O’Keefe, Joanna Hodge, Bojian Liang and Mark Jessop. Their work appears in journals such as Neurocomputing, Neural Networks and Pattern Recognition Letters.
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.