Luuk Spreeuwers
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Raymond VeldhuisDan ZengMarcel BreeuwerBas BoomHarry GarretsenJanka I. StokerChristoph BuschRaghavendra Ramachandra
- Topics
- Face recognition and analysis (49 papers)Biometric Identification and Security (47 papers)Face and Expression Recognition (34 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- NetherlandsIndonesiaChina
In The Last Decade
Luuk Spreeuwers
92 papers receiving 925 citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 696
- Signal Processing 396
- Radiology, Nuclear Medicine and Imaging 95
- Artificial Intelligence 94
- Biomedical Engineering 61
Countries citing papers authored by Luuk Spreeuwers
This map shows the geographic impact of Luuk Spreeuwers'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 Luuk Spreeuwers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luuk Spreeuwers more than expected).
Fields of papers citing papers by Luuk Spreeuwers
This network shows the impact of papers produced by Luuk Spreeuwers. 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 Luuk Spreeuwers. The network helps show where Luuk Spreeuwers may publish in the future.
Co-authorship network of co-authors of Luuk Spreeuwers
This figure shows the co-authorship network connecting the top 25 collaborators of Luuk Spreeuwers. A scholar is included among the top collaborators of Luuk Spreeuwers 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 Luuk Spreeuwers. Luuk Spreeuwers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | The Behavior of Principal Component Analysis and Linear Discriminant Analysis (PCA-LDA) for Face Recognition | 2 |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | Fixed FAR vote fusion of regional facial classifiers | 3 |
| 14 | Automatic landmark detection and face recognition for side-view face images | 3 |
| 15 | Landmark-based model-free 3D face shape reconstruction from video sequences | 4 |
| 16 | 3 | |
| 17 | Evaluation of automatic face recognition for automatic border control on actual data recorded of travellers at Schiphol Airport | 22 |
| 18 | 3 | |
| 19 | 53 | |
| 20 | 8 |
About Luuk Spreeuwers
Luuk Spreeuwers is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 99 papers that have together received 973 indexed citations. Recurring topics across this work include Face recognition and analysis (49 papers), Biometric Identification and Security (47 papers) and Face and Expression Recognition (34 papers). The work is most often cited by research in Signal Processing (396 citations), Computer Vision and Pattern Recognition (696 citations) and Media Technology (47 citations). Luuk Spreeuwers has collaborated with scholars based in Netherlands, Indonesia and China. Frequent co-authors include Raymond Veldhuis, Dan Zeng, Marcel Breeuwer, Bas Boom, Harry Garretsen, Janka I. Stoker, Christoph Busch, Raghavendra Ramachandra, Max A. Viergever and Wiro J. Niessen. 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.