Libor Červenka
Impact in
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
- Food Drying and Modeling
- Microencapsulation and Drying Processes
- Polysaccharides Composition and Applications
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
Papers in
- Food Science 28
- Polysaccharides Composition and Applications 7
- Food Drying and Modeling 5
- Salmonella and Campylobacter epidemiology 4
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- Food composition and properties 6
- Co-authors
- Dai Long Vu (8 shared papers)Jarmila Vytřasová (11 shared papers)Yusuf Dilgin (5 shared papers)Marcela Pejchalová (9 shared papers)Bensu Ertek (5 shared papers)Milan Sýs (9 shared papers)Tomáš Hájek (5 shared papers)Tomáš Mikýsek (2 shared papers)
In The Last Decade
Libor Červenka
54 papers receiving 560 citations
Peers
Comparison fields: 5 of 82
- Food Science 278
- Electrochemistry 89
- Biochemistry 62
- Endocrinology 37
- Bioengineering 39
Countries citing papers authored by Libor Červenka
This map shows the geographic impact of Libor Červenka'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 Libor Červenka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libor Červenka more than expected).
Fields of papers citing papers by Libor Červenka
This network shows the impact of papers produced by Libor Červenka. 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 Libor Červenka. The network helps show where Libor Červenka may publish in the future.
Co-authors
The 25 scholars most cited alongside Libor Červenka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 34 | |
| 2 | 2015 | 30 | |
| 3 | 2015 | 30 | |
| 4 | 2017 | 28 | |
| 5 | 2021 | 26 | |
| 6 | 2007 | 26 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 21 | |
| 9 | 2003 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2018 | 19 | |
| 12 | 2008 | 19 | |
| 13 | 2006 | 18 | |
| 14 | 2013 | 16 | |
| 15 | 2012 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2004 | 14 | |
| 18 | 2009 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2008 | 12 |
About Libor Červenka
Libor Červenka is a scholar working on Food Science, Nutrition and Dietetics, Electrical and Electronic Engineering, Plant Science and Biochemistry, having authored 54 papers that have together received 588 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (9 papers), Polysaccharides Composition and Applications (7 papers), Food composition and properties (6 papers), Phytochemicals and Antioxidant Activities (6 papers), Food Drying and Modeling (5 papers), Advanced Chemical Sensor Technologies (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Food Science (278 citations), Electrochemistry (89 citations), Biochemistry (62 citations), Endocrinology (37 citations) and Bioengineering (39 citations). Libor Červenka has collaborated with scholars based in Czechia, Türkiye and Poland. Frequent co-authors include Dai Long Vu, Jarmila Vytřasová, Yusuf Dilgin, Marcela Pejchalová, Bensu Ertek, Milan Sýs, Tomáš Hájek, Tomáš Mikýsek, František Buňka and Richardos Nikolaos Salek. Their work appears in journals such as Food Technology and Biotechnology, Food Chemistry, Foods, Journal of Food Engineering and Current Microbiology.
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.