P. Nesvadba
- Animal Science and Zoology top 2%
- Food Science top 5%
- Aquatic Science top 5%
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Norval J. C. StrachanAlastair Robert AllenJörg OehlenschlägerSoffía Vala TryggvadóttirG. ÓlafsdóttirCorrado Di NataleMercedes CarecheKarsten Heia
- Topics
- Meat and Animal Product Quality (9 papers)Food Drying and Modeling (4 papers)Aquaculture Nutrition and Growth (3 papers)
- Partner nations
- United KingdomCzechiaSpain
In The Last Decade
P. Nesvadba
26 papers receiving 676 citations
Peers
Comparison fields: 5 of 92
- Animal Science and Zoology 285
- Food Science 166
- Aquatic Science 156
- Biomedical Engineering 152
- Molecular Biology 107
Countries citing papers authored by P. Nesvadba
This map shows the geographic impact of P. Nesvadba'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 P. Nesvadba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Nesvadba more than expected).
Fields of papers citing papers by P. Nesvadba
This network shows the impact of papers produced by P. Nesvadba. 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 P. Nesvadba. The network helps show where P. Nesvadba may publish in the future.
Co-authorship network of co-authors of P. Nesvadba
This figure shows the co-authorship network connecting the top 25 collaborators of P. Nesvadba. A scholar is included among the top collaborators of P. Nesvadba 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 P. Nesvadba. P. Nesvadba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | Instrumental methods for measuring texture of fish. | 1 |
| 4 | 208 | |
| 5 | 32 | |
| 6 | 173 | |
| 7 | Introduction to and outcome of the project "multi-sensor techniques for monitoring the quality of fish" (MUSTEC, FAIR CT 98 4076). | 1 |
| 8 | A study of the attitudes of the European fish sector towards quality monitoring and labelling. | 14 |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 73 | |
| 15 | 20 | |
| 16 | 2 | |
| 17 | 25 | |
| 18 | 12 | |
| 19 | 58 | |
| 20 | 2 |
About P. Nesvadba
P. Nesvadba is a scholar working on Animal Science and Zoology, Food Science and Aquatic Science, having authored 26 papers that have together received 733 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (9 papers), Food Drying and Modeling (4 papers) and Aquaculture Nutrition and Growth (3 papers). The work is most often cited by research in Animal Science and Zoology (285 citations), Aquatic Science (156 citations) and Food Science (166 citations). P. Nesvadba has collaborated with scholars based in United Kingdom, Czechia and Spain. Frequent co-authors include Norval J. C. Strachan, Alastair Robert Allen, Jörg Oehlenschläger, Soffía Vala Tryggvadóttir, G. Ólafsdóttir, Corrado Di Natale, Mercedes Careche, Karsten Heia, Bo M. Jørgensen and Reinhard Schubring. Their work appears in journals such as Trends in Food Science & Technology, Pattern Recognition and Journal of Physics D Applied Physics.
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.