Jane Courtney
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Human-Computer Interaction top 10%
- Co-authors
- Susan McKeeverAyman TahaJ.K. AggarwalMichael MageeAnnraoi M. de PaorKeith SunderlandThomas LeeGary Winship
- Topics
- Video Surveillance and Tracking Methods (5 papers)Brain Tumor Detection and Classification (3 papers)Remote Sensing and LiDAR Applications (3 papers)
- Partner nations
- IrelandChinaUnited States
In The Last Decade
Jane Courtney
29 papers receiving 246 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 128
- Aerospace Engineering 70
- Cognitive Neuroscience 52
- Electrical and Electronic Engineering 33
- Human-Computer Interaction 25
Countries citing papers authored by Jane Courtney
This map shows the geographic impact of Jane Courtney'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 Jane Courtney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Courtney more than expected).
Fields of papers citing papers by Jane Courtney
This network shows the impact of papers produced by Jane Courtney. 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 Jane Courtney. The network helps show where Jane Courtney may publish in the future.
Co-authorship network of co-authors of Jane Courtney
This figure shows the co-authorship network connecting the top 25 collaborators of Jane Courtney. A scholar is included among the top collaborators of Jane Courtney 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 Jane Courtney. Jane Courtney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 60 | |
| 10 | 2 | |
| 11 | 57 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | IMVIP 2019: Irish Machine Vision and Image Processing Conference Proceedings. | 1 |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | Direct Least-Squares Ellipse Fitting | 3 |
| 20 | 2 |
About Jane Courtney
Jane Courtney is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Geology, having authored 31 papers that have together received 271 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Brain Tumor Detection and Classification (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Human-Computer Interaction (25 citations) and Aerospace Engineering (70 citations). Jane Courtney has collaborated with scholars based in Ireland, China and United States. Frequent co-authors include Susan McKeever, Ayman Taha, J.K. Aggarwal, Michael Magee, Annraoi M. de Paor, Keith Sunderland, Thomas Lee, Gary Winship, William W. Hall and Virginie Gautier. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and IEEE Access.
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.