Lenka Přibylová
- Genetics
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Sociology and Political Science
- Computer Networks and Communications
- Co-authors
- Luděk BerecJiří JarkovskýTomáš PavlíkOndřej MájekMartin ŠmídJán TrnkaL MrklasŠtěpán Podzimek
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (8 papers)Evolution and Genetic Dynamics (7 papers)Nonlinear Dynamics and Pattern Formation (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- CzechiaUkraineUnited States
In The Last Decade
Lenka Přibylová
20 papers receiving 171 citations
Peers
Comparison fields: 5 of 52
- Genetics 70
- Public Health, Environmental and Occupational Health 69
- Infectious Diseases 50
- Sociology and Political Science 33
- Computer Networks and Communications 30
Countries citing papers authored by Lenka Přibylová
This map shows the geographic impact of Lenka Přibylová'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 Lenka Přibylová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenka Přibylová more than expected).
Fields of papers citing papers by Lenka Přibylová
This network shows the impact of papers produced by Lenka Přibylová. 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 Lenka Přibylová. The network helps show where Lenka Přibylová may publish in the future.
Co-authorship network of co-authors of Lenka Přibylová
This figure shows the co-authorship network connecting the top 25 collaborators of Lenka Přibylová. A scholar is included among the top collaborators of Lenka Přibylová 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 Lenka Přibylová. Lenka Přibylová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 31 | |
| 10 | 22 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 29 | |
| 17 | The Solow-Swan model generalization with non-constant laborgrowth rate | 0 |
| 18 | BIFURCATION ROUTES TO CHAOS IN AN EXTENDED VAN DER POLSEQUATION APPLIED TO ECONOMIC MODELS | 12 |
| 19 | An age-structured model of cannibalism | 5 |
| 20 | [Effect of heavy metals on immune reactions in patients with infertility]. | 7 |
About Lenka Přibylová
Lenka Přibylová is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 24 papers that have together received 176 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Evolution and Genetic Dynamics (7 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Infectious Diseases (50 citations) and Genetics (70 citations). Lenka Přibylová has collaborated with scholars based in Czechia, Ukraine and United States. Frequent co-authors include Luděk Berec, Jiří Jarkovský, Tomáš Pavlík, Ondřej Májek, Martin Šmíd, Ján Trnka, L Mrklas, Štěpán Podzimek, Hil G. E. Meijer and Milan Brázdil. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.