Kálmán Palágyi

2.2k citations
41 papers · 1.1k indexed · h-index 14
Topics
Digital Image Processing Techniques (31 papers)Medical Image Segmentation Techniques (23 papers)Computational Geometry and Mesh Generation (13 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingPattern Recognition Letters

In The Last Decade

Kálmán Palágyi

38 papers receiving 1.0k citations

Peers

Kálmán Palágyi
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 564
  • Pulmonary and Respiratory Medicine 304
  • Radiology, Nuclear Medicine and Imaging 222
  • Computer Graphics and Computer-Aided Design 141
  • Computational Mechanics 122
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Citations per year

Countries citing papers authored by Kálmán Palágyi

Since Specialization
Citations

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

Fields of papers citing papers by Kálmán Palágyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kálmán Palágyi

This figure shows the co-authorship network connecting the top 25 collaborators of Kálmán Palágyi. A scholar is included among the top collaborators of Kálmán Palágyi 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 Kálmán Palágyi. Kálmán Palágyi 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
1 0
2 1
3 2
4 10
5
2D parallel thinning algorithms based on isthmus-preservation
3
6 2
7 35
8 1
9
Discrete Geometry for Computer Imagery: 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006, Proceedings (Lecture Notes in Computer Science)
1
10 100
11 126
12 33
13 157
14 29
15 8
16 52
17 0
18
3D THINNING AND ITS APPLICATIONS TO MEDICAL IMAGE PROCESSING
1
19 132
20
Medical image registration based on interactively identified anatomical landmark points
1

About Kálmán Palágyi

Kálmán Palágyi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (31 papers), Medical Image Segmentation Techniques (23 papers) and Computational Geometry and Mesh Generation (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (141 citations), Computer Vision and Pattern Recognition (564 citations) and Biophysics (62 citations). Kálmán Palágyi has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Attila Kuba, Milan Sonka, Juerg Tschirren, Eric A. Hoffman, G. McLennan, Gábor Németh, Brett A. Simon, Geoffrey McLennan, Kenneth C. Beck and Osama I. Saba. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging 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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