Paweł Turek
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Materials Chemistry
- Molecular Biology
- Artificial Intelligence top 10%
- Co-authors
- Małgorzata KowalskaJerzy SzakielMagdalena WoźniakAnna ŻbikowskaMagdalena WojnarowskaMariusz SołtysikAdam SaganA. Laciaková
- Topics
- Odor and Emission Control Technologies (4 papers)Advanced Chemical Sensor Technologies (4 papers)Olfactory and Sensory Function Studies (4 papers)
- Partner nations
- Poland
In The Last Decade
Paweł Turek
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Biomedical Engineering 369
- Electrical and Electronic Engineering 213
- Materials Chemistry 212
- Molecular Biology 173
- Artificial Intelligence 138
Countries citing papers authored by Paweł Turek
This map shows the geographic impact of Paweł Turek'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 Paweł Turek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Turek more than expected).
Fields of papers citing papers by Paweł Turek
This network shows the impact of papers produced by Paweł Turek. 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 Paweł Turek. The network helps show where Paweł Turek may publish in the future.
Co-authorship network of co-authors of Paweł Turek
This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Turek. A scholar is included among the top collaborators of Paweł Turek 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 Paweł Turek. Paweł Turek 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 | 2 | |
| 3 | Management of validation of HPLC method for determination of acetylsalicylic acid impurities in a new pharmaceutical productbreakdown → | 1614 |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | Sensoryczne badania zmian preferencji dotyczących zapachu, barwy i konsystencji emulsji kosmetycznych | 0 |
| 15 | Nos elektroniczny jako nowoczesne narzędzie w ocenie jakości wyrobów | 1 |
| 16 | Positive and negative effects of animal fat consumption | 1 |
| 17 | 6 | |
| 18 | Sensorial evaluation of yoghurt produced from cow, sheep and goat milk | 2 |
| 19 | Influence of dietary vitamin E content on the stability of pork fat | 1 |
About Paweł Turek
Paweł Turek is a scholar working on Process Chemistry and Technology, Sensory Systems and Food Science, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Odor and Emission Control Technologies (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Olfactory and Sensory Function Studies (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Biomedical Engineering (369 citations) and Health Informatics (11 citations). Paweł Turek has collaborated with scholars based in Poland. Frequent co-authors include Małgorzata Kowalska, Jerzy Szakiel, Magdalena Woźniak, Anna Żbikowska, Magdalena Wojnarowska, Mariusz Sołtysik, Adam Sagan, A. Laciaková, Jarosław Chmielewski and Slavomír Marcinčák. Their work appears in journals such as PLoS ONE, Scientific Reports and Chemosphere.
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.