Marie-Pierre Dubuisson

1.7k citations
10 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
Automated Road and Building Extraction (4 papers)Medical Image Segmentation Techniques (4 papers)Video Surveillance and Tracking Methods (3 papers)
Partner nations
United States

In The Last Decade

Marie-Pierre Dubuisson

10 papers receiving 1.1k citations

Hit Papers

A modified Hausdorff distance for object matching20022026201020182002250500750

Peers

Marie-Pierre Dubuisson
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 687
  • Artificial Intelligence 165
  • Radiology, Nuclear Medicine and Imaging 140
  • Signal Processing 129
  • Biomedical Engineering 126
Replace Kari Saarinen with:
Kari Saarinen Finland
J.M. Hannah United Kingdom
Sridhar Lakshmanan United States
Don Steinkraus United States
Dipti Prasad Mukherjee India
Hua Li China
Jae-Chern Yoo South Korea
Li Bai United Kingdom
Ching Y. Suen Canada
Marie-Pierre Dubuisson relative to Kari Saarinen Finland Kari Saarinen's profile →
Citations per field
00.5×7.7×
Kari Saarinen · 1×
Citations per year

Countries citing papers authored by Marie-Pierre Dubuisson

Since Specialization
Citations

This map shows the geographic impact of Marie-Pierre Dubuisson'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 Marie-Pierre Dubuisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie-Pierre Dubuisson more than expected).

Fields of papers citing papers by Marie-Pierre Dubuisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Pierre Dubuisson. 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 Marie-Pierre Dubuisson. The network helps show where Marie-Pierre Dubuisson may publish in the future.

Co-authorship network of co-authors of Marie-Pierre Dubuisson

This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Pierre Dubuisson. A scholar is included among the top collaborators of Marie-Pierre Dubuisson 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 Marie-Pierre Dubuisson. Marie-Pierre Dubuisson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 10
3 3
4 5
5
A modified Hausdorff distance for object matchingbreakdown →
971
6 95
7 25
8 18
9
SEGMENTATION AND MATCHING OF VEHICLES IN ROAD IMAGES
6
10 38

About Marie-Pierre Dubuisson

Marie-Pierre Dubuisson is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Media Technology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Automated Road and Building Extraction (4 papers), Medical Image Segmentation Techniques (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (687 citations), Signal Processing (129 citations) and Media Technology (91 citations). Marie-Pierre Dubuisson has collaborated with scholars based in United States. Frequent co-authors include Anil K. Jain, Richard C. Dubes, Sridhar Lakshmanan and Anil K. Jain. Their work appears in journals such as Pattern Recognition, International Journal of Computer Vision and Pattern Recognition Letters.

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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