Karel Fliegel

908 citations
77 papers · 486 indexed · h-index 11
Topics
Image and Video Quality Assessment (17 papers)Image and Signal Denoising Methods (15 papers)Image Enhancement Techniques (15 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsIEEE Transactions on Image Processing
Partner nations
CzechiaFranceSwitzerland

In The Last Decade

Karel Fliegel

71 papers receiving 447 citations

Peers

Karel Fliegel
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 238
  • Biophysics 146
  • Biomedical Engineering 105
  • Atomic and Molecular Physics, and Optics 101
  • Media Technology 93
Replace Markku Mäkitalo with:
Markku Mäkitalo Finland
Yunhui Gao China
Christopher Mann United States
Muthuvel Arigovindan India
Steven D. Feller United States
Seunghwan Yoo United States
Cédric Schockaert Belgium
Amit Suveer Sweden
Zongxi Song China
Karel Fliegel relative to Markku Mäkitalo Finland Markku Mäkitalo's profile →
Citations per field
00.5×3.7×
Markku Mäkitalo · 1×
Citations per year

Countries citing papers authored by Karel Fliegel

Since Specialization
Citations

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

Fields of papers citing papers by Karel Fliegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karel Fliegel

This figure shows the co-authorship network connecting the top 25 collaborators of Karel Fliegel. A scholar is included among the top collaborators of Karel Fliegel 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 Karel Fliegel. Karel Fliegel 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 0
3 9
4 13
5 5
6 2
7 3
8 57
9 7
10 4
11 4
12
First results from newly developed automatic video system MAIA and comparison with older analogue cameras
1
13
Double-station observations of the Draconid meteor shower using newly developed MAIA system
1
14 6
15 1
16 1
17 7
18 1
19 1
20
Modeling and Measurement of Image Sensor Characteristics
16

About Karel Fliegel

Karel Fliegel is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 77 papers that have together received 486 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (17 papers), Image and Signal Denoising Methods (15 papers) and Image Enhancement Techniques (15 papers). The work is most often cited by research in Biophysics (146 citations), Structural Biology (21 citations) and Computer Vision and Pattern Recognition (238 citations). Karel Fliegel has collaborated with scholars based in Czechia, France and Switzerland. Frequent co-authors include Miloš Klíma, Lukáš Krasula, Tomáš Lukeš, Patrick Le Callet, Petr Páta, Guy M. Hagen, Pavel Křížek, Martin Ovesný, S. Vítek and Pavel Koten. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Image Processing.

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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