P. Kruizinga
Impact in
-
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Image Retrieval and Classification Techniques 5
- Image and Signal Denoising Methods 3
- Medical Image Segmentation Techniques 3
- Journals
- Biological Cybernetics (2 papers)IEEE Transactions on Image Processing (2 papers)Future Generation Computer Systems (1 paper)Lecture notes in computer science (1 paper)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- NetherlandsSouth Africa
In The Last Decade
P. Kruizinga
17 papers receiving 843 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 605
- Media Technology 217
- Biophysics 43
- Analytical Chemistry 64
- Industrial and Manufacturing Engineering 56
Countries citing papers authored by P. Kruizinga
This map shows the geographic impact of P. Kruizinga'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 P. Kruizinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Kruizinga more than expected).
Fields of papers citing papers by P. Kruizinga
This network shows the impact of papers produced by P. Kruizinga. 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 P. Kruizinga. The network helps show where P. Kruizinga may publish in the future.
Co-authorship network
The 7 scholars most cited alongside P. Kruizinga, 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 | 2016 | 2 | |
| 2 | 2003 | 99 | |
| 3 | Comparison of texture features based on Gabor filters Hit paper breakdown → | 2002 | 500 |
| 4 | 2002 | 8 | |
| 5 | 2002 | 5 | |
| 6 | 2002 | 1 | |
| 7 | Perception of form and texture through complementary bar and grating cell channels | 2000 | 2 |
| 8 | 2000 | 18 | |
| 9 | 1999 | 149 | |
| 10 | Nonlinear operator for blob texture segmentation | 1999 | 5 |
| 11 | FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998 | 2 |
| 12 | 1997 | 118 | |
| 13 | 1994 | 3 | |
| 14 | Biologically motivated approach to face recognition | 1993 | 1 |
| 15 | Face Recognition on the Connection Machine CM-5 | 1993 | 1 |
| 16 | Lateral inhibition in cortical filters | 1993 | 8 |
| 17 | Orientation competition in cortical filters - an application to face recognition | 1993 | 5 |
About P. Kruizinga
P. Kruizinga is a scholar working on Architecture, Computer Vision and Pattern Recognition, Media Technology, Cognitive Neuroscience and Artificial Intelligence, having authored 17 papers that have together received 927 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Image Retrieval and Classification Techniques (5 papers), Visual perception and processing mechanisms (4 papers), Image and Signal Denoising Methods (3 papers), Neural dynamics and brain function (3 papers), Medical Image Segmentation Techniques (3 papers), Infrared Target Detection Methodologies (2 papers) and Color Science and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (605 citations), Media Technology (217 citations), Biophysics (43 citations), Analytical Chemistry (64 citations) and Industrial and Manufacturing Engineering (56 citations). P. Kruizinga has collaborated with scholars based in Netherlands and South Africa. Frequent co-authors include Nikolay Petkov, S.E. Grigorescu, Nicolai Petkov, Tino Lourens, José Mira, Joan Cabestany and A. Prieto. Their work appears in journals such as Biological Cybernetics, IEEE Transactions on Image Processing, Future Generation Computer Systems, Lecture notes in computer science and Data Archiving and Networked Services (DANS).
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.