Z. Panovská

623 citations
22 papers · 433 indexed · h-index 10
Topics
Biochemical Analysis and Sensing Techniques (9 papers)Meat and Animal Product Quality (7 papers)Sensory Analysis and Statistical Methods (7 papers)
Partner nations
CzechiaSlovakiaAustria

In The Last Decade

Z. Panovská

22 papers receiving 413 citations

Peers

Z. Panovská
Comparison fields: 5 of 71
  • Food Science 235
  • Complementary and alternative medicine 170
  • Plant Science 111
  • Nutrition and Dietetics 84
  • Animal Science and Zoology 57
Replace María Aparecida A.P. da Silva with:
María Aparecida A.P. da Silva Brazil
Ídila Maria da Silva Araújo Brazil
Boutheina Ben Akacha Tunisia
Rema Subhash India
Katarzyna Świąder Poland
José Alberto López‐Díaz Mexico
Deisy Hervert-Hernández Spain
Marwa M. El‐Said Egypt
Mirela Iličić Serbia
Isabelle Maraval France
Z. Panovská relative to María Aparecida A.P. da Silva Brazil María Aparecida A.P. da Silva's profile →
Citations per field
00.5×7.2×
María Aparecida A.P. da Silva · 1×
Citations per year

Countries citing papers authored by Z. Panovská

Since Specialization
Citations

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

Fields of papers citing papers by Z. Panovská

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z. Panovská

This figure shows the co-authorship network connecting the top 25 collaborators of Z. Panovská. A scholar is included among the top collaborators of Z. Panovská 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 Z. Panovská. Z. Panovská 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
#WorkIndexed citations
1 9
2 187
3 28
4 30
5 2
6 6
7 6
8 1
9 2
10 10
11 5
12 1
13 17
14 7
15 13
16 66
17 15
18 12
19
Sensory and rheological studies of Newtonian fluid foods
2
20 3

About Z. Panovská

Z. Panovská is a scholar working on Food Science, Sensory Systems and Animal Science and Zoology, having authored 22 papers that have together received 433 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (9 papers), Meat and Animal Product Quality (7 papers) and Sensory Analysis and Statistical Methods (7 papers). The work is most often cited by research in Complementary and alternative medicine (170 citations), Food Science (235 citations) and Biochemistry (53 citations). Z. Panovská has collaborated with scholars based in Czechia, Slovakia and Austria. Frequent co-authors include J. Pokorný, Helena Valentová, Soňa Škrovánková, Ľubomír Daško, Zuzana Ciesarová, Richard Koplı́k, Zuzana Burčová, Blanka Tobolková, Michael Murkovic and Elena Belajová. Their work appears in journals such as Food Chemistry, Food Research International and Food Additives & Contaminants.

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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