Jan Kubečka

5.1k total citations
173 papers, 3.7k citations indexed

About

Jan Kubečka is a scholar working on Nature and Landscape Conservation, Aquatic Science and Ecology. According to data from OpenAlex, Jan Kubečka has authored 173 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Nature and Landscape Conservation, 80 papers in Aquatic Science and 73 papers in Ecology. Recurrent topics in Jan Kubečka's work include Fish Ecology and Management Studies (160 papers), Fish Biology and Ecology Studies (79 papers) and Marine and fisheries research (66 papers). Jan Kubečka is often cited by papers focused on Fish Ecology and Management Studies (160 papers), Fish Biology and Ecology Studies (79 papers) and Marine and fisheries research (66 papers). Jan Kubečka collaborates with scholars based in Czechia, United States and United Kingdom. Jan Kubečka's co-authors include Martin Čech, Vladislav Draštík, Jiří Peterka, Jaroslava Frouzová, Mojmír Vašek, Marie Prchalová, Tomáš Jůza, Milan Říha, Josef Matěna and Jaromír Seďa and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Jan Kubečka

170 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Kubečka Czechia 36 3.2k 1.9k 1.5k 1.3k 517 173 3.7k
J. Ellen Marsden United States 37 2.8k 0.9× 2.6k 1.4× 739 0.5× 1.1k 0.8× 198 0.4× 143 3.6k
Jason D. Stockwell United States 34 1.9k 0.6× 1.7k 0.9× 405 0.3× 836 0.6× 670 1.3× 104 2.8k
Martin Čech Czechia 27 1.8k 0.6× 1.1k 0.6× 853 0.6× 745 0.6× 293 0.6× 125 2.1k
Anders G. Finstad Norway 28 2.0k 0.6× 1.6k 0.9× 548 0.4× 945 0.7× 287 0.6× 115 2.9k
Daniel Boisclair Canada 32 2.6k 0.8× 1.9k 1.0× 849 0.6× 1.0k 0.8× 226 0.4× 102 3.2k
Larry Greenberg Sweden 33 2.9k 0.9× 2.2k 1.2× 895 0.6× 801 0.6× 400 0.8× 118 3.5k
Lorenzo Vilizzi United Kingdom 32 2.1k 0.7× 1.8k 1.0× 1.3k 0.8× 760 0.6× 117 0.2× 136 3.0k
L.A.J. Nagelkerke Netherlands 27 1.1k 0.3× 1.3k 0.7× 963 0.6× 449 0.3× 351 0.7× 95 2.1k
Craig P. Paukert United States 30 2.7k 0.8× 2.3k 1.3× 892 0.6× 839 0.6× 204 0.4× 133 3.6k
Douglas F. Markle United States 25 1.6k 0.5× 1.1k 0.6× 748 0.5× 981 0.7× 100 0.2× 76 2.5k

Countries citing papers authored by Jan Kubečka

Since Specialization
Citations

This map shows the geographic impact of Jan Kubečka'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 Jan Kubečka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kubečka more than expected).

Fields of papers citing papers by Jan Kubečka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Kubečka. 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 Jan Kubečka. The network helps show where Jan Kubečka may publish in the future.

Co-authorship network of co-authors of Jan Kubečka

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kubečka. A scholar is included among the top collaborators of Jan Kubečka 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 Jan Kubečka. Jan Kubečka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Symonová, Radka, Tomáš Jůza, Marek Brabec, et al.. (2025). Differential activity of transcription factors and neuronal effectors during the development of pikeperch brain. Biology Open. 14(11).
2.
Blabolil, Petr, Martin Čech, Vladislav Draštík, et al.. (2025). Factors Influencing the Stocking of Juvenile Pikeperch ( Sander lucioperca ). Fisheries Management and Ecology.
3.
4.
Souza, Allan T., et al.. (2024). Detailed Insight into Gillnet Catches: Fish Directivity and Micro Distribution. Water. 16(18). 2683–2683. 1 indexed citations
5.
Jakubavičiūtė, Eglė, Timo Arula, Justas Dainys, et al.. (2024). Status and perspectives for pikeperch (Sander lucioperca) stocks in the Baltic Sea region and central Europe. Estuarine Coastal and Shelf Science. 303. 108801–108801. 4 indexed citations
6.
Jůza, Tomáš, Petr Blabolil, Martin Čech, et al.. (2024). Fish predation on newly stocked juvenile predatory fish in a biomanipulated reservoir. Lake and Reservoir Management. 40(3). 317–329. 1 indexed citations
7.
Šmejkal, Marek, Daniel Bartoň, Petr Blabolil, et al.. (2023). Diverse environmental cues drive the size of reproductive aggregation in a rheophilic fish. Movement Ecology. 11(1). 16–16. 2 indexed citations
8.
Tušer, Michal, Marek Brabec, Helge Balk, et al.. (2023). Feasibility of Time-Dependent Amplitude in Pulse-Compressed Broadband Acoustic Signals for Determining the Dorsal Orientation of Fish. Water. 15(8). 1596–1596. 2 indexed citations
9.
Souza, Allan T., Daniel Bartoň, Petr Blabolil, et al.. (2023). Can a Protected Area Help Improve Fish Populations under Heavy Recreation Fishing?. Water. 15(4). 632–632. 8 indexed citations
10.
Šmejkal, Marek, Daniel Bartoň, Pavel Horký, et al.. (2023). Living on the edge: Reservoirs facilitate enhanced interactions among generalist and rheophilic fish species in tributaries. Frontiers in Environmental Science. 11. 14 indexed citations
11.
Prchalová, Marie, Jakub Žák, Milan Říha, et al.. (2022). Sexual size dimorphism of two common European percid fish: linkage with spatial distribution and diet. Hydrobiologia. 849(9). 2009–2027. 5 indexed citations
12.
Blabolil, Petr, Martin Čech, Vladislav Draštík, et al.. (2021). Less is more – Basic quantitative indices for fish can be achieved with reduced gillnet sampling. Fisheries Research. 240. 105983–105983. 7 indexed citations
13.
Souza, Allan T., Mojmír Vašek, Daniel Bartoň, et al.. (2021). Openness of Fish Habitat Matters: Lake Pelagic Fish Community Starts Very Close to the Shore. Water. 13(22). 3291–3291. 5 indexed citations
14.
Blabolil, Petr, Martin Čech, Vladislav Draštík, et al.. (2021). New way to investigate fish density and distribution in the shallowest layers of the open water. Fisheries Research. 238. 105907–105907. 6 indexed citations
15.
Souza, Allan T., Marek Šmejkal, Petr Blabolil, et al.. (2020). Ontogenetic and interpopulation differences in otolith shape of the European perch (Perca fluviatilis). Fisheries Research. 230. 105673–105673. 15 indexed citations
16.
Morelli, Federico, Yanina Benedetti, Leszek Jerzak, Jan Kubečka, & Juan D. Delgado. (2020). Combining the potential resilience of avian communities with climate change scenarios to identify areas of conservation concern. Ecological Indicators. 116. 106509–106509. 8 indexed citations
17.
Balk, Helge, et al.. (2019). Limitations of target detection in horizontal acoustic surveys of extremely shallow water bodies. Fisheries Research. 218. 94–104. 5 indexed citations
18.
Muška, Milan, Michal Tušer, Jaroslava Frouzová, et al.. (2018). Real-time distribution of pelagic fish: combining hydroacoustics, GIS and spatial modelling at a fine spatial scale. Scientific Reports. 8(1). 5381–5381. 22 indexed citations
19.
Blabolil, Petr, D. Ricard, Milan Říha, et al.. (2015). Predicting asp and pikeperch recruitment in a riverine reservoir. Fisheries Research. 173. 45–52. 19 indexed citations
20.
Kubečka, Jan, et al.. (1998). Growth rate of the common bream in lowland European reservoirs with different fish density. International Review of Hydrobiology. 83. 4 indexed citations

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.

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