Paul L. Rosin
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- Computer Graphics and Visualization Techniques 46
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- Image Processing and 3D Reconstruction 48
- Advanced Vision and Imaging 47
- Image Retrieval and Classification Techniques 45
- Image and Object Detection Techniques 44
- Medical Image Segmentation Techniques 42
- Advanced Image and Video Retrieval Techniques 34
- Geology top 0.5%
- Media Technology top 0.5%
- Computational Mechanics top 0.5%
- 3D Shape Modeling and Analysis 48
- Co-authors
- Yu‐Kun LaiXianfang SunDavid MarshallFrank C. LangbeinGeoff WestRalph R. MartinYonghuai LiuJufeng Yang
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (11 papers)
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Paul L. Rosin
323 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Computer Graphics and Computer-Aided Design 1.0k
- Computer Vision and Pattern Recognition 5.9k
- Geology 565
- Media Technology 795
- Computational Mechanics 1.5k
Countries citing papers authored by Paul L. Rosin
This map shows the geographic impact of Paul L. Rosin'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 Paul L. Rosin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul L. Rosin more than expected).
Fields of papers citing papers by Paul L. Rosin
This network shows the impact of papers produced by Paul L. Rosin. 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 Paul L. Rosin. The network helps show where Paul L. Rosin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul L. Rosin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 45 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 74 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2018 | 134 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 12 | |
| 16 | The multi-modal nature of trustworthiness perception. | 2015 | 5 |
| 17 | 4D Cardiff Conversation Database (4D CCDb): A 4D database of natural,dyadic conversations | 2015 | 11 |
| 18 | Detection of duplicated image regions using cellular automata | 2014 | 8 |
| 19 | 2012 | 17 | |
| 20 | Background Surface Estimation for Reverse Engineering of Reliefs | 2007 | 8 |
About Paul L. Rosin
Paul L. Rosin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 337 papers that have together received 9.6k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (48 papers), Image Processing and 3D Reconstruction (48 papers), Advanced Vision and Imaging (47 papers), Computer Graphics and Visualization Techniques (46 papers), Image Retrieval and Classification Techniques (45 papers), Image and Object Detection Techniques (44 papers), Medical Image Segmentation Techniques (42 papers) and Advanced Image and Video Retrieval Techniques (34 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.0k citations), Computer Vision and Pattern Recognition (5.9k citations) and Geology (565 citations). Paul L. Rosin has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Yu‐Kun Lai, Xianfang Sun, David Marshall, Frank C. Langbein, Geoff West, Ralph R. Martin, Yonghuai Liu, Jufeng Yang, Ming‐Ming Cheng and Tim Ellis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.