Róbert Marušák

880 total citations
69 papers, 601 citations indexed

About

Róbert Marušák is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Mechanics of Materials. According to data from OpenAlex, Róbert Marušák has authored 69 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 40 papers in Nature and Landscape Conservation and 18 papers in Mechanics of Materials. Recurrent topics in Róbert Marušák's work include Forest ecology and management (40 papers), Forest Management and Policy (28 papers) and Forest Biomass Utilization and Management (18 papers). Róbert Marušák is often cited by papers focused on Forest ecology and management (40 papers), Forest Management and Policy (28 papers) and Forest Biomass Utilization and Management (18 papers). Róbert Marušák collaborates with scholars based in Czechia, Slovakia and Portugal. Róbert Marušák's co-authors include Jan Kašpar, Michal Bošeľa, Róbert Sedmák, Atsushi Yoshimoto, Karel Kuželka, Bohdan Konôpka, Jozef Pajtík, Tomáš Hlásny, Ján Merganič and Petr Vopěnka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Forest Ecology and Management.

In The Last Decade

Róbert Marušák

67 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Róbert Marušák Czechia 14 357 292 94 91 90 69 601
Volker Mues Germany 11 391 1.1× 344 1.2× 137 1.5× 148 1.6× 95 1.1× 18 636
Johan Sonesson Sweden 13 424 1.2× 352 1.2× 40 0.4× 93 1.0× 61 0.7× 34 664
Gintautas Mozgeris Lithuania 14 345 1.0× 144 0.5× 87 0.9× 105 1.2× 66 0.7× 69 593
Andrey Lessa Derci Augustynczik Germany 14 520 1.5× 328 1.1× 52 0.6× 60 0.7× 53 0.6× 37 690
Tom A. Stokes United States 14 393 1.1× 330 1.1× 121 1.3× 46 0.5× 66 0.7× 18 558
Tara M. Barrett United States 14 369 1.0× 342 1.2× 61 0.6× 220 2.4× 74 0.8× 32 675
Bruce C. Larson United States 15 509 1.4× 639 2.2× 112 1.2× 140 1.5× 99 1.1× 31 947
Daniel Mailly Canada 17 496 1.4× 532 1.8× 99 1.1× 88 1.0× 196 2.2× 33 866
Robert Schneider Canada 17 438 1.2× 561 1.9× 113 1.2× 208 2.3× 62 0.7× 63 834
Tuomo Kalliokoski Finland 18 535 1.5× 343 1.2× 197 2.1× 66 0.7× 212 2.4× 29 813

Countries citing papers authored by Róbert Marušák

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Marušák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Róbert Marušák

This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Marušák. A scholar is included among the top collaborators of Róbert Marušák 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 Róbert Marušák. Róbert Marušák 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.
Tahri, Meryem, Jan Kašpar, Roman Berčák, et al.. (2024). New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map. Engineering Applications of Artificial Intelligence. 138. 109399–109399. 2 indexed citations
2.
Lohmander, Peter, et al.. (2023). Climate-related subsidies for CO2 absorption and fuel substitution: Effects on optimal forest management decisions. Journal of Environmental Management. 344. 118751–118751. 3 indexed citations
3.
Kuželka, Karel, Róbert Marušák, & Peter Surový. (2022). Inventory of close-to-nature forest stands using terrestrial mobile laser scanning. International Journal of Applied Earth Observation and Geoinformation. 115. 103104–103104. 19 indexed citations
4.
Purwestri, Ratna Chrismiari, Miroslav Hájek, Vilém Jarský, et al.. (2021). The role of Bioeconomy in the Czech national forest strategy: a comparison with Sweden. The International Forestry Review. 23(4). 492–510. 7 indexed citations
5.
6.
Hlásny, Tomáš, Jiří Trombik, Michal Bošeľa, et al.. (2017). Climatic drivers of forest productivity in Central Europe. Agricultural and Forest Meteorology. 234-235. 258–273. 38 indexed citations
7.
Merganič, Ján, et al.. (2016). Relation between forest stand diversity and anticipated log quality in managed Central European forests. International Journal of Biodiversity Science Ecosystems Services & Management. 12(1-2). 128–138. 9 indexed citations
8.
Marušák, Róbert, et al.. (2015). Alternative Modelling Approach to Spatial Harvest Scheduling with Respect to Fragmentation of Forest Ecosystem. Environmental Management. 56(5). 1134–1147. 8 indexed citations
9.
Vopěnka, Petr, Jan Kašpar, & Róbert Marušák. (2015). GIS tool for optimization of forest harvest-scheduling. Computers and Electronics in Agriculture. 113. 254–259. 16 indexed citations
10.
Kuželka, Karel & Róbert Marušák. (2014). Use of nonparametric regression methods for developing a local stem form model. Journal of Forest Science. 60(11). 464–471. 7 indexed citations
11.
Kuželka, Karel & Róbert Marušák. (2014). Comparison of selected splines for stem form modeling: A case study in Norway spruce. Annals of Forest Research. 57(1). 137–148. 6 indexed citations
12.
Kašpar, Jan, Róbert Marušák, & Róbert Sedmák. (2014). Spatial and non-spatial harvest scheduling versus conventional timber indicator in over-mature forests. SHILAP Revista de lepidopterología. 60(2). 2 indexed citations
13.
Merganič, Ján, et al.. (2013). Relation between selected indicators of forest stand diversity and quality of timber production in young stands aged up to 40 years. Journal of Forest Science. 59(12). 503–513. 5 indexed citations
14.
Marušák, Róbert, et al.. (2013). Impact of soil drainage to the radial stem growth of Norway spruce (Picea Abies L. Karst.) in peatland forests. SHILAP Revista de lepidopterología. 59(4). 2 indexed citations
15.
Zahradník, D., et al.. (2013). Forest edges in managed riparian forests in the eastern part of the Czech Republic. Forest Ecology and Management. 305. 1–10. 21 indexed citations
16.
Surová, Diana, Teresa Pinto‐Correia, & Róbert Marušák. (2013). Visual complexity and the montado do matter: landscape pattern preferences of user groups in Alentejo, Portugal. Annals of Forest Science. 71(1). 15–24. 23 indexed citations
17.
Marušák, Róbert, et al.. (2011). Harvest scheduling with spatial aggregation for two and three strip cut system under shelterwood management. Journal of Forest Science. 57(6). 271–277. 3 indexed citations
18.
Barna, Milan, Róbert Sedmák, & Róbert Marušák. (2010). Response of European beech radial growth to shelterwood cutting.. Folia oecologica. 37(2). 125–136. 12 indexed citations
19.
Barna, Milan, et al.. (2007). Diameter and height increment of beech trees after shelterwood cutting.. 44(2). 67–76. 1 indexed citations
20.
Marušák, Róbert. (2001). Evaluation of age structure of mature forest stands. 39.

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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