Silvia Marková
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Ecology top 5%
- Animal Ecology and Behavior Studies
- Wildlife Ecology and Conservation
- Aquatic Invertebrate Ecology and Behavior
Papers in
- Co-authors
- Petr Kotlı́k (28 shared papers)Jeremy B. Searle (15 shared papers)France Dufresne (4 shared papers)Marina Manca (3 shared papers)Marc Ventura (2 shared papers)Roland Vergilino (2 shared papers)Agata Kawałko (1 shared paper)Jan M. Wójcik (1 shared paper)
- Journals
- Molecular Ecology (4 papers)Molecular Phylogenetics and Evolution (4 papers)Proceedings of the Royal Society B Biological Sciences (3 papers)Frontiers in Ecology and Evolution (3 papers)Journal of Limnology (2 papers)
- Partner nations
- CzechiaUnited StatesItaly
In The Last Decade
Silvia Marková
32 papers receiving 706 citations
Peers
Comparison fields: 5 of 54
- Ecological Modeling 112
- Ecology 415
- Genetics 381
- Environmental Chemistry 121
- Aquatic Science 68
Countries citing papers authored by Silvia Marková
This map shows the geographic impact of Silvia Marková'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 Silvia Marková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Marková more than expected).
Fields of papers citing papers by Silvia Marková
This network shows the impact of papers produced by Silvia Marková. 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 Silvia Marková. The network helps show where Silvia Marková may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Marková, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 74 | |
| 2 | 2008 | 65 | |
| 3 | 2009 | 57 | |
| 4 | 2014 | 54 | |
| 5 | 2011 | 53 | |
| 6 | 2010 | 51 | |
| 7 | 2013 | 34 | |
| 8 | 2007 | 30 | |
| 9 | 2010 | 27 | |
| 10 | 2014 | 25 | |
| 11 | 2020 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2011 | 22 | |
| 15 | 2006 | 19 | |
| 16 | 2014 | 18 | |
| 17 | 2011 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 13 |
About Silvia Marková
Silvia Marková is a scholar working on Ecology, Genetics, Environmental Chemistry, Ecological Modeling and Molecular Biology, having authored 33 papers that have together received 721 indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Animal Ecology and Behavior Studies (10 papers), Aquatic Ecosystems and Phytoplankton Dynamics (9 papers), Species Distribution and Climate Change (7 papers), Evolution and Genetic Dynamics (6 papers), Wildlife Ecology and Conservation (5 papers), Aquatic Invertebrate Ecology and Behavior (5 papers) and Aquatic Ecosystems and Biodiversity (4 papers). The work is most often cited by research in Ecological Modeling (112 citations), Ecology (415 citations), Genetics (381 citations), Environmental Chemistry (121 citations) and Aquatic Science (68 citations). Silvia Marková has collaborated with scholars based in Czechia, United States and Italy. Frequent co-authors include Petr Kotlı́k, Jeremy B. Searle, France Dufresne, Marina Manca, Marc Ventura, Roland Vergilino, Agata Kawałko, Jan M. Wójcik, Fitnat Güler Ekmekçı and Martin Černý. Their work appears in journals such as Molecular Ecology, Molecular Phylogenetics and Evolution, Proceedings of the Royal Society B Biological Sciences, Frontiers in Ecology and Evolution and Journal of Limnology.
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.