Pierre A. Devijver

3.9k citations
24 papers · 2.5k · 1 hit paper · h-index 10

Impact in

Papers in

Pierre A. Devijver

23 papers receiving 2.3k citations

Pierre A. Devijver's Hit Papers

Pattern recognition : a statistical approach 1982 · 2.0k citations
2.0k0+14+29Years since publication50010001.5k2.0k

Peers

Pierre A. Devijver
Comparison fields: 5 of 172
  • Computer Vision and Pattern Recognition 975
  • Artificial Intelligence 1.2k
  • Signal Processing 340
  • Media Technology 222
  • Statistics and Probability 150
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Citations per year

Countries citing papers authored by Pierre A. Devijver

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 3 scholars most cited alongside Pierre A. Devijver, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pierre A. Devijver Line = papers co-authored together Pierre A. Devijver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pattern recognition : a statistical approach
Hit paper breakdown →
19822029
2 1987116
3 198598
4
Connected components in binary images: The detection problem
198495
5 197448
6 198222
7 198621
8 199315
9 198112
10 19799
11 19858
12 19777
13 19837
14 19787
15
Book-Review - Connected Components in Binary Images - the Detection Problem
19845
16 19824
17 19803
18
A comparative study of decision making algorithms in hidden Markov chains
19853
19 20023
20 19882

About Pierre A. Devijver

Pierre A. Devijver is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, 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), Neural Networks and Applications (3 papers), Fault Detection and Control Systems (3 papers), Medical Image Segmentation Techniques (2 papers), Data Management and Algorithms (2 papers), Computational Geometry and Mesh Generation (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (975 citations), Artificial Intelligence (1.2k citations), Signal Processing (340 citations), Media Technology (222 citations) and Statistics and Probability (150 citations). Pierre A. Devijver has collaborated with scholars based in Belgium, United Kingdom and Finland. Frequent co-authors include Josef Kittler, Christian Ronse and C. Fassnacht. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Nature.

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.

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