Vladimí­r Vietoris

613 total citations
44 papers, 455 citations indexed

About

Vladimí­r Vietoris is a scholar working on Food Science, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Vladimí­r Vietoris has authored 44 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Food Science, 12 papers in Plant Science and 10 papers in Animal Science and Zoology. Recurrent topics in Vladimí­r Vietoris's work include Meat and Animal Product Quality (10 papers), Sensory Analysis and Statistical Methods (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Vladimí­r Vietoris is often cited by papers focused on Meat and Animal Product Quality (10 papers), Sensory Analysis and Statistical Methods (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Vladimí­r Vietoris collaborates with scholars based in Slovakia, Czechia and Brazil. Vladimí­r Vietoris's co-authors include Ana Carla Marques Pinheiro, Cleiton Antônio Nunes, Paul A. Kilmartin, Dmitry Kirsanov, Andrey Legin, Martina Fikselová, Peter Zajác, Jozef Čapla, Elena Horská and Jakub Berčí­k and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Reviews in Food Science and Nutrition and Journal of the Science of Food and Agriculture.

In The Last Decade

Vladimí­r Vietoris

42 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vladimí­r Vietoris Slovakia 12 225 116 103 86 84 44 455
Marina Leite Mitterer‐Daltoé Brazil 14 347 1.5× 107 0.9× 118 1.1× 30 0.3× 103 1.2× 50 563
Federica Tesini Italy 7 229 1.0× 70 0.6× 97 0.9× 95 1.1× 80 1.0× 9 445
Massimiliano Magli Italy 12 250 1.1× 163 1.4× 120 1.2× 34 0.4× 35 0.4× 28 504
Sujinda Sriwattana Thailand 12 195 0.9× 70 0.6× 138 1.3× 37 0.4× 92 1.1× 36 361
Laurence Fillion United Kingdom 8 241 1.1× 194 1.7× 124 1.2× 22 0.3× 49 0.6× 9 500
Mathilde Charles Italy 11 263 1.2× 279 2.4× 148 1.4× 84 1.0× 42 0.5× 15 608
Jéssica Ferreira Rodrigues Brazil 15 385 1.7× 68 0.6× 207 2.0× 37 0.4× 125 1.5× 54 614
K.W. Chapman United States 12 268 1.2× 63 0.5× 143 1.4× 39 0.5× 138 1.6× 13 435
Lorena Garitta Argentina 13 342 1.5× 99 0.9× 118 1.1× 27 0.3× 174 2.1× 28 473

Countries citing papers authored by Vladimí­r Vietoris

Since Specialization
Citations

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

Fields of papers citing papers by Vladimí­r Vietoris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimí­r Vietoris

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimí­r Vietoris. A scholar is included among the top collaborators of Vladimí­r Vietoris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladimí­r Vietoris. Vladimí­r Vietoris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vietoris, Vladimí­r, et al.. (2025). Exploring the influence of health and nutritional benefits information on sensory evaluation of edible gels in seniors. Applied Food Research. 5(2). 101217–101217. 1 indexed citations
2.
Vietoris, Vladimí­r, et al.. (2024). Nutritional, Utility, and Sensory Quality and Safety of Sunflower Oil on the Central European Market. Agriculture. 14(4). 536–536. 9 indexed citations
4.
Veverka, Miroslav, et al.. (2024). Factors Influencing Elderly Consumers’ Preferences for Edible Gels: Insights from Slovakia. Gels. 10(10). 610–610. 2 indexed citations
5.
Vietoris, Vladimí­r, et al.. (2019). Ecotoxicological studies of Akmola region lakes. Potravinarstvo Slovak Journal of Food Sciences. 13(1). 25–31.
6.
Rodrigues, Jéssica Ferreira, et al.. (2018). Temporal dominance of sensations and preferences of Brazilians and Slovakians: A cross‐cultural study of cachaças stored with woods from the Amazon rainforest. Journal of the Science of Food and Agriculture. 98(11). 4058–4064. 5 indexed citations
7.
Zajác, Peter, et al.. (2017). The effect of UV-C irradiation on grape juice turbidity, sensoric properties and microbial count. Potravinarstvo Slovak Journal of Food Sciences. 12(1). 1–10. 7 indexed citations
8.
Vietoris, Vladimí­r, et al.. (2016). Flavour and identification threshold detection overview of Slovak adepts for certified testing.. PubMed. 37(3). 226–232. 1 indexed citations
9.
Berčí­k, Jakub, et al.. (2016). Placing of aroma compounds by food sales promotion in chosen services business. Potravinarstvo Slovak Journal of Food Sciences. 10(1). 672–679. 15 indexed citations
10.
Vietoris, Vladimí­r, et al.. (2016). Shelf life extension and sensory evaluation of birch tree sap using chemical preservatives. Potravinarstvo Slovak Journal of Food Sciences. 10(1). 499–505. 6 indexed citations
11.
Vietoris, Vladimí­r, et al.. (2016). Analysis of Consumerˊs Preferences at Organic Food Purchase in Romania.. Polish Journal of Food and Nutrition Sciences. 66(2). 139–146. 32 indexed citations
12.
Vietoris, Vladimí­r, et al.. (2015). COMPARISON OF COFFEE SPECIES BY SENSORY PANEL AND ELECTRONIC NOSE. Journal of Microbiology Biotechnology and Food Sciences. 5(3). 234–237. 6 indexed citations
13.
Tremlová, Bohuslava, et al.. (2014). Determination of Ketchup Sensory Texture Acceptability and Examination of Determining Factors as a Basis for Product Optimization. International Journal of Food Properties. 18(3). 660–669. 11 indexed citations
14.
Bojňanská, Tatiana, et al.. (2013). ABOUT FOOD ADDITIVES AS IMPORTANT PART OF FUNCTIONAL FOOD. SHILAP Revista de lepidopterología. 2021. 2227–2237. 11 indexed citations
15.
Vietoris, Vladimí­r, et al.. (2013). Effect of probiotics and thyme essential oil on the texture of cooked chicken breast meat.. 12(4). 379–384. 19 indexed citations
16.
Čapla, Jozef, et al.. (2012). SANITATION PROCESS OPTIMALIZATION IN RELATION TO THE MICROBIAL BIOFILM OF PSEUDOMONAS FLUORESCENS. Journal of Microbiology Biotechnology and Food Sciences. 1. 733–741. 1 indexed citations
17.
Kirsanov, Dmitry, et al.. (2012). Towards reliable estimation of an “electronic tongue” predictive ability from PLS regression models in wine analysis. Talanta. 90. 109–116. 60 indexed citations
18.
Zajác, Peter, et al.. (2011). Perception of bio-food labeling by consumers in Slovakia. SHILAP Revista de lepidopterología. 5(1). 33–38. 4 indexed citations
19.
Čapla, Jozef, et al.. (2010). New methodologies for biofilms control in food industry. Potravinarstvo Slovak Journal of Food Sciences. 4(3). 10–13. 2 indexed citations
20.
Vietoris, Vladimí­r, et al.. (2009). Objectivity of percepts of sensory analysis.. Folia veterinaria. 53(2). 72–76. 1 indexed citations

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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