Seán Moran
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Media Technology top 10%
- Co-authors
- Victor LavrenkoMiles OsborneIadh OunisCraig MacdonaldRichard McCreadieMartin SýkoraTom JacksonFabio Ciravegna
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Image Retrieval and Classification Techniques (8 papers)Microstructure and mechanical properties (3 papers)
- Journals
- Modelling and Simulation in Materials Science and EngineeringInternational Journal of Multimedia Information RetrievalEdinburgh Research Explorer (University of Edinburgh)
- Partner nations
- United KingdomAustriaUnited States
In The Last Decade
Seán Moran
19 papers receiving 468 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 339
- Artificial Intelligence 183
- Information Systems 49
- Statistical and Nonlinear Physics 48
- Media Technology 42
Countries citing papers authored by Seán Moran
This map shows the geographic impact of Seán Moran'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 Seán Moran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seán Moran more than expected).
Fields of papers citing papers by Seán Moran
This network shows the impact of papers produced by Seán Moran. 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 Seán Moran. The network helps show where Seán Moran may publish in the future.
Co-authorship network of co-authors of Seán Moran
This figure shows the co-authorship network connecting the top 25 collaborators of Seán Moran. A scholar is included among the top collaborators of Seán Moran 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 Seán Moran. Seán Moran 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 | 3 | |
| 3 | DIFAR: Deep Image Formation and Retouching | 1 |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 71 | |
| 8 | 24 | |
| 9 | 21 | |
| 10 | Variable Bit Quantisation for LSH | 20 |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | Automatic Image Tagging | 2 |
| 17 | Matching Words and Pictures | 273 |
| 18 | 10 | |
| 19 | 2 |
About Seán Moran
Seán Moran is a scholar working on Computer Vision and Pattern Recognition, Metals and Alloys and Information Systems, having authored 19 papers that have together received 487 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (8 papers) and Microstructure and mechanical properties (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (339 citations), Artificial Intelligence (183 citations) and Media Technology (42 citations). Seán Moran has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Victor Lavrenko, Miles Osborne, Iadh Ounis, Craig Macdonald, Richard McCreadie, Martin Sýkora, Tom Jackson, Fabio Ciravegna, Yulan He and Neil Ireson. Their work appears in journals such as Modelling and Simulation in Materials Science and Engineering, International Journal of Multimedia Information Retrieval and Edinburgh Research Explorer (University of Edinburgh).
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.