John Dingliana
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Control and Systems Engineering top 5%
- Computational Mechanics top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Carol O’SullivanDaniel SýkoraSteven CollinsMary K. KaiserFabio GanovelliS. CollinsRachel McDonnellFintan McGee
- Topics
- Computer Graphics and Visualization Techniques (23 papers)Advanced Vision and Imaging (15 papers)Human Motion and Animation (12 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- IrelandUnited StatesHong Kong
In The Last Decade
John Dingliana
42 papers receiving 681 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 511
- Computer Graphics and Computer-Aided Design 347
- Control and Systems Engineering 199
- Computational Mechanics 174
- Human-Computer Interaction 83
Countries citing papers authored by John Dingliana
This map shows the geographic impact of John Dingliana'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 John Dingliana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Dingliana more than expected).
Fields of papers citing papers by John Dingliana
This network shows the impact of papers produced by John Dingliana. 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 John Dingliana. The network helps show where John Dingliana may publish in the future.
Co-authorship network of co-authors of John Dingliana
This figure shows the co-authorship network connecting the top 25 collaborators of John Dingliana. A scholar is included among the top collaborators of John Dingliana 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 John Dingliana. John Dingliana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | An Acceleration Scheme for Mini-batch, Streaming PCA. | 1 |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 92 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | Sketching Complex Generalized Cylinder Spines | 2 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 5 |
About John Dingliana
John Dingliana is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 52 papers that have together received 747 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (23 papers), Advanced Vision and Imaging (15 papers) and Human Motion and Animation (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (347 citations), Computer Vision and Pattern Recognition (511 citations) and Human-Computer Interaction (83 citations). John Dingliana has collaborated with scholars based in Ireland, United States and Hong Kong. Frequent co-authors include Carol O’Sullivan, Daniel Sýkora, Steven Collins, Mary K. Kaiser, Fabio Ganovelli, S. Collins, Rachel McDonnell, Fintan McGee, Jan Ondřej and Douglas W. Cunningham. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computers & Graphics.
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.