Pierre A. Devijver
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Media Technology top 2%
- Information Systems top 5%
- Co-authors
- Josef KittlerChristian RonseC. Fassnacht
- Topics
- Statistical Methods and Inference (7 papers)Bayesian Modeling and Causal Inference (4 papers)Fault Detection and Control Systems (3 papers)
- Journals
- NatureIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information Theory
- Partner nations
- BelgiumFinlandUnited Kingdom
In The Last Decade
Pierre A. Devijver
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 979
- Signal Processing 340
- Media Technology 223
- Information Systems 186
Countries citing papers authored by Pierre A. Devijver
This map shows the geographic impact of Pierre A. Devijver'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 Pierre A. Devijver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre A. Devijver more than expected).
Fields of papers citing papers by Pierre A. Devijver
This network shows the impact of papers produced by Pierre A. Devijver. 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 Pierre A. Devijver. The network helps show where Pierre A. Devijver may publish in the future.
Co-authorship network of co-authors of Pierre A. Devijver
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre A. Devijver. A scholar is included among the top collaborators of Pierre A. Devijver 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 Pierre A. Devijver. Pierre A. Devijver 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 | 1 | |
| 3 | 2 | |
| 4 | 117 | |
| 5 | Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications | 0 |
| 6 | 98 | |
| 7 | 8 | |
| 8 | A comparative study of decision making algorithms in hidden Markov chains | 3 |
| 9 | Book-Review - Connected Components in Binary Images - the Detection Problem | 5 |
| 10 | Connected components in binary images: The detection problem | 95 |
| 11 | 7 | |
| 12 | 22 | |
| 13 | Pattern recognition : a statistical approachbreakdown → | 2029 |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 1 |
About Pierre A. Devijver
Pierre A. Devijver is a scholar working on Statistics and Probability, Computer Graphics and Computer-Aided Design and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Bayesian Modeling and Causal Inference (4 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (979 citations), Artificial Intelligence (1.2k citations) and Signal Processing (340 citations). Pierre A. Devijver has collaborated with scholars based in Belgium, Finland and United Kingdom. Frequent co-authors include Josef Kittler, Christian Ronse and C. Fassnacht. Their work appears in journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.
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.