Gunilla Borgefors

50 papers receiving 2.8k citations

Hit Papers

Distance transformations in digital images1984202619982012198619844008001.2k

Peers

Gunilla Borgefors
Comparison fields: 5 of 151
  • Computer Vision and Pattern Recognition 2.2k
  • Computer Graphics and Computer-Aided Design 340
  • Aerospace Engineering 298
  • Computational Mechanics 293
  • Radiology, Nuclear Medicine and Imaging 264
Replace Benjamin B. Kimia with:
Benjamin B. Kimia United States
Gabriella Sanniti di Baja Italy
Wan‐Yen Lo United States
M. Pilu United Kingdom
Eric N. Mortensen United States
Andreas Kolb Germany
Marie‐Pierre Jolly United States
Kristin Dana United States
Ko Nishino Japan
Tim McInerney Canada
Gunilla Borgefors relative to Benjamin B. Kimia United States Benjamin B. Kimia's profile →
Citations per field
00.5×1.6×
Benjamin B. Kimia · 1×
Citations per year

Countries citing papers authored by Gunilla Borgefors

Since Specialization
Citations

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

Fields of papers citing papers by Gunilla Borgefors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gunilla Borgefors. 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 Gunilla Borgefors. The network helps show where Gunilla Borgefors may publish in the future.

Co-authorship network of co-authors of Gunilla Borgefors

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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An image analysis method to measure cross-sectional tracheid dimensions on softwood increment cores
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Discrete geometry for computer imagery : 9th International Conference, DGCI 2000, Uppsala, Sweden, December 13-15, 2000 : proceedings
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Fully Reversible Skeletonization for Volume Images Based on Anchor-Points from the D26 Distance Transform
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About Gunilla Borgefors

Gunilla Borgefors is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Architecture, having authored 51 papers that have together received 3.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (30 papers), Digital Image Processing Techniques (30 papers) and Image Retrieval and Classification Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Computer Graphics and Computer-Aided Design (340 citations) and Biophysics (165 citations). Gunilla Borgefors has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include Gabriella Sanniti di Baja, Punam K. Saha, Ingela Nyström, Stina Svensson, Robin Strand, Ida‐Maria Sintorn, Josef Bigün, Lucia Ballerini, Kerstin Lundström and Anders Högberg. Their work appears in journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and Computers and Electronics in Agriculture.

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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