Ivan Barka

857 total citations
36 papers, 641 citations indexed

About

Ivan Barka is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Ivan Barka has authored 36 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 13 papers in Nature and Landscape Conservation and 12 papers in Ecology. Recurrent topics in Ivan Barka's work include Forest Management and Policy (15 papers), Forest ecology and management (12 papers) and Forest Ecology and Biodiversity Studies (12 papers). Ivan Barka is often cited by papers focused on Forest Management and Policy (15 papers), Forest ecology and management (12 papers) and Forest Ecology and Biodiversity Studies (12 papers). Ivan Barka collaborates with scholars based in Slovakia, Czechia and United Kingdom. Ivan Barka's co-authors include Tomáš Hlásny, Laura Dobor, Werner Rammer, Rupert Seidl, Tomáš Bucha, Jiří Trombik, Soňa Zimová, Jozef Minár, Ladislav Kulla and Zuzana Sitková and has published in prestigious journals such as SHILAP Revista de lepidopterología, Global Change Biology and Journal of Environmental Management.

In The Last Decade

Ivan Barka

35 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Barka Slovakia 16 385 260 210 173 115 36 641
Andrea Brunelle United States 18 496 1.3× 356 1.4× 137 0.7× 91 0.5× 516 4.5× 49 910
Kuo‐Chuan Lin Taiwan 13 334 0.9× 230 0.9× 269 1.3× 41 0.2× 146 1.3× 23 738
Harriet Allen United Kingdom 12 182 0.5× 205 0.8× 183 0.9× 74 0.4× 51 0.4× 14 486
Patrick Lefort Canada 10 611 1.6× 242 0.9× 303 1.4× 186 1.1× 216 1.9× 11 992
Emilia Allevato Italy 17 219 0.6× 157 0.6× 144 0.7× 34 0.2× 197 1.7× 41 746
Guillaume Simioni France 19 482 1.3× 175 0.7× 333 1.6× 26 0.2× 197 1.7× 32 772
Robert O. Hudson Canada 13 213 0.6× 208 0.8× 61 0.3× 72 0.4× 88 0.8× 18 701
Pavel Daněk Czechia 13 141 0.4× 68 0.3× 154 0.7× 135 0.8× 170 1.5× 30 471
Craig D. Snyder United States 17 248 0.6× 664 2.6× 523 2.5× 120 0.7× 50 0.4× 39 1.1k
Liangjun Hu China 9 237 0.6× 242 0.9× 152 0.7× 19 0.1× 61 0.5× 27 738

Countries citing papers authored by Ivan Barka

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Barka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Barka

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Barka. A scholar is included among the top collaborators of Ivan Barka 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 Ivan Barka. Ivan Barka 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.
Pajtík, Jozef, Bohdan Konôpka, Ivan Barka, Katarína Merganičová, & Martin Lukáč. (2025). Shrub height and crown projection area are effective predictors in aboveground biomass models for multi-stemmed European hazel. Forest Ecosystems. 13. 100316–100316.
2.
3.
Dobor, Laura, Lukáš Bílek, Ivan Barka, et al.. (2024). The interacting effect of climate change and herbivory can trigger large‐scale transformations of European temperate forests. Global Change Biology. 30(2). e17194–e17194. 9 indexed citations
4.
Barka, Ivan, et al.. (2023). A Geoprocessing Tool for the Calculation of Primary Wood Transportation Distance. Forests. 14(5). 907–907. 2 indexed citations
5.
Konôpka, Bohdan, et al.. (2023). Tree Biomass and Leaf Area Allometric Relations for Betula pendula Roth Based on Samplings in the Western Carpathians. Plants. 12(8). 1607–1607. 2 indexed citations
6.
Hlásny, Tomáš, Ivan Barka, Katarína Merganičová, et al.. (2022). A new framework for prognosing forest resources under intensified disturbance impacts: Case of the Czech Republic. Forest Ecology and Management. 523. 120483–120483. 7 indexed citations
7.
Koreň, Milan, et al.. (2021). Assessment of Machine Learning Algorithms for Modeling the Spatial Distribution of Bark Beetle Infestation. Forests. 12(4). 395–395. 18 indexed citations
8.
Bucha, Tomáš, et al.. (2021). Woody Above-Ground Biomass Estimation on Abandoned Agriculture Land Using Sentinel-1 and Sentinel-2 Data. Remote Sensing. 13(13). 2488–2488. 10 indexed citations
9.
Barka, Ivan, et al.. (2020). Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data. Remote Sensing. 12(24). 4189–4189. 12 indexed citations
10.
Feranec, Ján, Tomáš Bucha, Miloš Rusnák, et al.. (2019). A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe. Remote Sensing. 11(23). 2759–2759. 44 indexed citations
11.
Barka, Ivan, et al.. (2019). Suitability of MODIS-based NDVI index for forest monitoring and its seasonal applications in Central Europe. SHILAP Revista de lepidopterología. 65(3-4). 206–217. 15 indexed citations
12.
Dobor, Laura, Tomáš Hlásny, Werner Rammer, et al.. (2019). Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes. Journal of Environmental Management. 254. 109792–109792. 44 indexed citations
13.
Barka, Ivan, et al.. (2018). Remote sensing-based forest health monitoring systems – case studies from Czechia and Slovakia. SHILAP Revista de lepidopterología. 19 indexed citations
14.
Dobor, Laura, Tomáš Hlásny, Werner Rammer, et al.. (2018). Post-disturbance recovery of forest carbon in a temperate forest landscape under climate change. Agricultural and Forest Meteorology. 263. 308–322. 51 indexed citations
15.
Boltižiar, Martin, et al.. (2016). Spatial modelling of avalanches by application of GIS on selected slopes of the Western Tatra Mts. and Belianske Tatra Mts., Slovakia. Geographia Polonica. 89(1). 79–90. 4 indexed citations
16.
Härtl, Fabian, Ivan Barka, Walter A. Hahn, et al.. (2015). Multifunctionality in European mountain forests — an optimization under changing climatic conditions. Canadian Journal of Forest Research. 46(2). 163–171. 27 indexed citations
17.
Máliš, Frantíšek, et al.. (2012). The impact of Norway spruce planting on herb vegetation in the mountain beech forests on two bedrock types. European Journal of Forest Research. 131(5). 1551–1569. 7 indexed citations
18.
Minár, Jozef, Miroslav Bielik, Michal Kováč, et al.. (2010). New morphostructural subdivision of the Western Carpathians: An approach integrating geodynamics into targeted morphometric analysis. Tectonophysics. 502(1-2). 158–174. 54 indexed citations
19.
Barka, Ivan, et al.. (2009). Statistical Avalanche Run-Out Modelling Using GIS on Selected Slopes of Western Tatras National Park, Slovakia. 482–487. 2 indexed citations
20.
Minár, Jozef, et al.. (2006). GEOMORPHOLOGICAL HAZARDS IN SLOVAKIA. 2 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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