J. Princen
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Josef KittlerJ. IllingworthA.B. BradleyAlan W. JohnsonJames D. JohnstonG.A. JonesGary JonesΜαρία Πέτρου
- Topics
- Image and Object Detection Techniques (10 papers)Digital Filter Design and Implementation (6 papers)Image Processing and 3D Reconstruction (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Signal ProcessingImage and Vision Computing
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
J. Princen
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 906
- Signal Processing 453
- Computational Mechanics 209
- Electrical and Electronic Engineering 161
- Biomedical Engineering 146
Countries citing papers authored by J. Princen
This map shows the geographic impact of J. Princen'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. Princen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Princen more than expected).
Fields of papers citing papers by J. Princen
This network shows the impact of papers produced by J. Princen. 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. Princen. The network helps show where J. Princen may publish in the future.
Co-authorship network of co-authors of J. Princen
This figure shows the co-authorship network connecting the top 25 collaborators of J. Princen. A scholar is included among the top collaborators of J. Princen 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. Princen. J. Princen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 124 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 20 | |
| 7 | 56 | |
| 8 | 50 | |
| 9 | 3 | |
| 10 | 74 | |
| 11 | 89 | |
| 12 | 15 | |
| 13 | Comparative study of Hough Transform methods for circle findingbreakdown → | 545 |
| 14 | 5 | |
| 15 | A comparison of Hough transform methods | 21 |
| 16 | 35 | |
| 17 | Filter Bank Design Based on Time Domain Alias Cancellation | 3 |
| 18 | 269 |
About J. Princen
J. Princen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Statistics and Probability, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (10 papers), Digital Filter Design and Implementation (6 papers) and Image Processing and 3D Reconstruction (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (906 citations), Signal Processing (453 citations) and Media Technology (139 citations). J. Princen has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Josef Kittler, J. Illingworth, A.B. Bradley, Alan W. Johnson, James D. Johnston, G.A. Jones, Gary Jones, Μαρία Πέτρου and Michael Chan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Image and Vision Computing.
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.