Ivan Víden

31 papers receiving 390 citations

Peers

Ivan Víden
Comparison fields: 5 of 71
  • Process Chemistry and Technology 13
  • Analytical Chemistry 56
  • Atmospheric Science 56
  • Food Science 69
  • Spectroscopy 56
Replace Anna-Lena Sunesson with:
Anna-Lena Sunesson Sweden
Marjolaine Bourdat-Deschamps France
Michael M. McChesney United States
Mirja Lahtiperä Finland
Yaqin Gao China
Stefan Haidacher Austria
Peter Prazeller Austria
Lukas Märk Austria
Alessandro Zappi Italy
G. Parvoli Italy
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Citations per field
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Anna-Lena Sunesson · 1×
Citations per year

Countries citing papers authored by Ivan Víden

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Víden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200689
2 200332
3 200425
4 200223
5 199120
6 201517
7 199416
8 198715
9 199014
10 199114
11 200114
12 198713
13 199812
14 201411
15 201210
16 19769
17 20119
18
Anwendung der GLC/MS zur Rückstandsanalyse in Futter und Milch
19878
19 19878
20 19898

About Ivan Víden

Ivan Víden is a scholar working on Spectroscopy, Food Science, Analytical Chemistry, Biochemistry and Atmospheric Science, having authored 32 papers that have together received 416 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (8 papers), Analytical chemistry methods development (5 papers), Lipid metabolism and biosynthesis (4 papers), Pesticide Residue Analysis and Safety (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Atmospheric chemistry and aerosols (3 papers), Fermentation and Sensory Analysis (2 papers) and Proteins in Food Systems (2 papers). The work is most often cited by research in Process Chemistry and Technology (13 citations), Analytical Chemistry (56 citations), Atmospheric Science (56 citations), Food Science (69 citations) and Spectroscopy (56 citations). Ivan Víden has collaborated with scholars based in Czechia, Belgium and India. Frequent co-authors include Anuj Kumar, Tomáš Řezanka, Jiří Davídek, J. Votruba, Jo P. Dewulf, Herman R. Van Langenhove, Jan Velı́šek, Jana Hajšlová, Vladislav Kubelka and Valery M. Dembitsky. Their work appears in journals such as Journal of Chromatography A, European Food Research and Technology, International Journal of Environmental & Analytical Chemistry, Journal of Agricultural and Food Chemistry and Analytical and Bioanalytical Chemistry.

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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