Michal Vik

46 papers receiving 472 citations

Peers

Michal Vik
Comparison fields: 5 of 74
  • Polymers and Plastics 143
  • Building and Construction 97
  • Sensory Systems 29
  • Organic Chemistry 139
  • Materials Chemistry 218
Replace Marie Kaplanová with:
Marie Kaplanová Czechia
Rahela Kulčar Croatia
Xiaoye Geng China
Fei Liang China
Fangqing Ge China
Alenka Vesel Slovenia
Huw Owens United Kingdom
Roger Wardman United Kingdom
Fengxiang Chen China
Bahareh Moazzenchi Iran
Michal Vik relative to Marie Kaplanová Czechia Marie Kaplanová's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michal Vik

Since Specialization
Citations

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

Fields of papers citing papers by Michal Vik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 201849
3 201743
4 202040
5 201229
6 201925
7 202020
8 201817
9 201115
10 201413
11 200512
12 201612
13 201411
14 202010
15 20159
16 20188
17 20137
18 20197
19 20197
20 20177

About Michal Vik

Michal Vik is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Social Psychology, Organic Chemistry and Polymers and Plastics, having authored 51 papers that have together received 490 indexed citations. Recurring topics across this work include Photochromic and Fluorescence Chemistry (18 papers), Color Science and Applications (15 papers), Color perception and design (12 papers), Dyeing and Modifying Textile Fibers (8 papers), Photopolymerization techniques and applications (7 papers), Textile materials and evaluations (6 papers), Industrial Vision Systems and Defect Detection (4 papers) and Olfactory and Sensory Function Studies (4 papers). The work is most often cited by research in Polymers and Plastics (143 citations), Building and Construction (97 citations), Sensory Systems (29 citations), Organic Chemistry (139 citations) and Materials Chemistry (218 citations). Michal Vik has collaborated with scholars based in Czechia, Sweden and Germany. Frequent co-authors include Martina Viková, Aravin Prince Periyasamy, Jiřı́ Militký, Vijay Baheti, Azam Ali, Vincent Nierstrasz, Junchun Yu, Shadpour Mallakpour, Seyed Mansour Bidoki and Mohammad Khajeh Mehrizi. Their work appears in journals such as Fibers and Polymers, Textile Research Journal, Journal of the Textile Institute, Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum and IEEE Transactions on Industry Applications.

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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