Miloš Klíma

959 citations
106 papers · 614 · h-index 13

Impact in

Papers in

Miloš Klíma

99 papers receiving 578 citations

Peers

Miloš Klíma
Comparison fields: 5 of 84
  • Biophysics 79
  • Surfaces, Coatings and Films 74
  • Computer Vision and Pattern Recognition 173
  • Media Technology 72
  • Radiology, Nuclear Medicine and Imaging 148
Replace Elena Stoykova with:
Elena Stoykova Bulgaria
Sylwester Bargiel France
You Zhou China
Manabu Kagami Japan
Shyqyri Haxha United Kingdom
Itzik Malkiel Israel
Reinhard Voelkel Switzerland
Ç‪ağlar Ataman Germany
Haofei Xu China
Quinn Smithwick United States
Miloš Klíma relative to Elena Stoykova Bulgaria Elena Stoykova's profile →
Citations per field
00.5×3.7×
Elena Stoykova · 1×
Citations per year

Countries citing papers authored by Miloš Klíma

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Klíma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miloš Klíma, 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 Miloš Klíma Line = papers co-authored together Miloš Klíma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201443
2 201742
3 199939
4 201534
5 201027
6 200521
7 202119
8 200618
9
200118
10 199918
11 201417
12 202115
13 201215
14
New possibilities for blind people navigation
201112
15 201612
16 200410
17 201710
18 200710
19 20059
20 20219

About Miloš Klíma

Miloš Klíma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 106 papers that have together received 614 indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (21 papers), Image and Signal Denoising Methods (21 papers), Advanced Data Compression Techniques (18 papers), Plasma Applications and Diagnostics (17 papers), Image and Video Quality Assessment (13 papers), Advanced Image Processing Techniques (12 papers), Image Processing Techniques and Applications (9 papers) and Surface Modification and Superhydrophobicity (8 papers). The work is most often cited by research in Biophysics (79 citations), Surfaces, Coatings and Films (74 citations), Computer Vision and Pattern Recognition (173 citations), Media Technology (72 citations) and Radiology, Nuclear Medicine and Imaging (148 citations). Miloš Klíma has collaborated with scholars based in Czechia, Ireland and France. Frequent co-authors include Karel Fliegel, Lenka Zajı́čková, Pavel Slavíček, Jan Janča, Petr Páta, Lukáš Krasula, Patrick Le Callet, Tomáš Lukeš, Guy M. Hagen and Zdeněk Švindrych. Their work appears in journals such as Optics Express, Plasma Sources Science and Technology, IEEE Aerospace and Electronic Systems Magazine, Plasma Processes and Polymers and Surface and Coatings Technology.

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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