Vít Lédl

560 citations
69 papers · 349 · h-index 10

Impact in

Papers in

Vít Lédl

67 papers receiving 310 citations

Peers

Vít Lédl
Comparison fields: 5 of 51
  • Media Technology 85
  • Computer Vision and Pattern Recognition 182
  • Atomic and Molecular Physics, and Optics 184
  • Computational Mechanics 88
  • Instrumentation 12
Replace Pavel Psota with:
Pavel Psota Czechia
Stephan Waldner Switzerland
Zacarías Malacara Mexico
Takashi Onuma Japan
Abundio Dávila Mexico
Lars Benckert Sweden
А. Г. Полещук Russia
Carl C. Aleksoff United States
C. S. Vikram United States
Yongmo Zhuo China
Vít Lédl relative to Pavel Psota Czechia Pavel Psota's profile →
Citations per field
00.5×1.5×
Pavel Psota · 1×
Citations per year

Countries citing papers authored by Vít Lédl

Since Specialization
Citations

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

Fields of papers citing papers by Vít Lédl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201239
2 201730
3 202115
4 202115
5 202015
6 201914
7 201212
8 201312
9 201910
10 201210
11 20109
12 20238
13 20108
14 20208
15 20157
16 20216
17 20136
18 20236
19 20155
20 20105

About Vít Lédl

Vít Lédl is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Computational Mechanics, Mechanical Engineering and Media Technology, having authored 69 papers that have together received 349 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (34 papers), Digital Holography and Microscopy (33 papers), Fluid Dynamics and Turbulent Flows (14 papers), Advanced Optical Imaging Technologies (9 papers), Advanced Measurement and Metrology Techniques (9 papers), Image Processing Techniques and Applications (8 papers), Flow Measurement and Analysis (8 papers) and Surface Roughness and Optical Measurements (8 papers). The work is most often cited by research in Media Technology (85 citations), Computer Vision and Pattern Recognition (182 citations), Atomic and Molecular Physics, and Optics (184 citations), Computational Mechanics (88 citations) and Instrumentation (12 citations). Vít Lédl has collaborated with scholars based in Czechia, Germany and Japan. Frequent co-authors include Pavel Psota, Tomáš Vít, Pavel Mokrý, J. Václavík, Jiřı́ Militký, Jiřı́ Erhart, Lukáš Veselý, Dana Křemenáková, Ch. Tsitouras and A. Havránek. Their work appears in journals such as Applied Optics, Optics Express, Optics and Lasers in Engineering, Optical Engineering and Sensors.

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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