P. Hasal
Impact in
- Filtration and Separation top 10%
-
- Fluid Dynamics and Mixing
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
Papers in
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- Innovative Microfluidic and Catalytic Techniques Innovation 8
- Microfluidic and Capillary Electrophoresis Applications 8
- Fluid Dynamics and Mixing 6
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- Nonlinear Dynamics and Pattern Formation 10
- Co-authors
- Ivan Fořt (7 shared papers)Michal Přibyl (11 shared papers)Jiřı́ Šı́ma (3 shared papers)M. Marek (7 shared papers)Miloš Marek (5 shared papers)Lucie Vobecká (4 shared papers)H. C. Boisson (1 shared paper)Zdeněk Slouka (4 shared papers)
In The Last Decade
P. Hasal
47 papers receiving 546 citations
Peers
Comparison fields: 5 of 83
- Filtration and Separation 17
- Biomedical Engineering 247
- Statistical and Nonlinear Physics 60
- Computational Mechanics 97
- Computer Networks and Communications 98
Countries citing papers authored by P. Hasal
This map shows the geographic impact of P. Hasal'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. Hasal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Hasal more than expected).
Fields of papers citing papers by P. Hasal
This network shows the impact of papers produced by P. Hasal. 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. Hasal. The network helps show where P. Hasal may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Hasal, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 56 | |
| 2 | 2000 | 53 | |
| 3 | 2020 | 40 | |
| 4 | 1992 | 28 | |
| 5 | 2004 | 28 | |
| 6 | 1998 | 27 | |
| 7 | 2008 | 25 | |
| 8 | 1997 | 23 | |
| 9 | 2018 | 22 | |
| 10 | 1994 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2001 | 17 | |
| 13 | 2011 | 15 | |
| 14 | 1997 | 14 | |
| 15 | 2004 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2009 | 12 | |
| 18 | 1999 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2003 | 9 |
About P. Hasal
P. Hasal is a scholar working on Biomedical Engineering, Computer Networks and Communications, Molecular Biology, Statistical and Nonlinear Physics and Computational Mechanics, having authored 50 papers that have together received 567 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (10 papers), Innovative Microfluidic and Catalytic Techniques Innovation (8 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), stochastic dynamics and bifurcation (7 papers), Fluid Dynamics and Mixing (6 papers), Enzyme-mediated dye degradation (6 papers), Enzyme Catalysis and Immobilization (5 papers) and Microbial Metabolism and Applications (4 papers). The work is most often cited by research in Filtration and Separation (17 citations), Biomedical Engineering (247 citations), Statistical and Nonlinear Physics (60 citations), Computational Mechanics (97 citations) and Computer Networks and Communications (98 citations). P. Hasal has collaborated with scholars based in Czechia, India and Germany. Frequent co-authors include Ivan Fořt, Michal Přibyl, Jiřı́ Šı́ma, M. Marek, Miloš Marek, Lucie Vobecká, H. C. Boisson, Zdeněk Slouka, Jaromír Pocedič and Dalimil Šnita. Their work appears in journals such as Chemical Engineering Science, Chaos An Interdisciplinary Journal of Nonlinear Science, Enzyme and Microbial Technology, Journal of Chemical Technology & Biotechnology and The Journal of Physical Chemistry A.
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.