Ladislav Šigut

4.7k total citations · 1 hit paper
36 papers, 1.3k citations indexed

About

Ladislav Šigut is a scholar working on Global and Planetary Change, Atmospheric Science and Plant Science. According to data from OpenAlex, Ladislav Šigut has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 18 papers in Atmospheric Science and 13 papers in Plant Science. Recurrent topics in Ladislav Šigut's work include Plant Water Relations and Carbon Dynamics (28 papers), Plant responses to elevated CO2 (10 papers) and Tree-ring climate responses (9 papers). Ladislav Šigut is often cited by papers focused on Plant Water Relations and Carbon Dynamics (28 papers), Plant responses to elevated CO2 (10 papers) and Tree-ring climate responses (9 papers). Ladislav Šigut collaborates with scholars based in Czechia, Germany and Italy. Ladislav Šigut's co-authors include Mirco Migliavacca, Thomas Wutzler, Antje Lucas-Moffat, Olaf Menzer, Jürgen Knauer, Markus Reichstein, Marian Pavelka, Otmar Urban, Pavel Sedlák and Andreas Ibrom and has published in prestigious journals such as The Science of The Total Environment, Philosophical Transactions of the Royal Society B Biological Sciences and Environmental Pollution.

In The Last Decade

Ladislav Šigut

33 papers receiving 1.3k citations

Hit Papers

Basic and extensible post-processing of eddy covariance f... 2018 2026 2020 2023 2018 200 400 600

Peers

Ladislav Šigut
Ladislav Šigut
Citations per year, relative to Ladislav Šigut Ladislav Šigut (= 1×) peers Fyodor Tatarinov

Countries citing papers authored by Ladislav Šigut

Since Specialization
Citations

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

Fields of papers citing papers by Ladislav Šigut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ladislav Šigut

This figure shows the co-authorship network connecting the top 25 collaborators of Ladislav Šigut. A scholar is included among the top collaborators of Ladislav Šigut 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 Ladislav Šigut. Ladislav Šigut 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.
Foltýnová, Lenka, et al.. (2025). Temperature-Driven onset and light quality-linked senescence in Fagus sylvatica phenology. Agricultural and Forest Meteorology. 375. 110834–110834.
2.
Gharun, Mana, Ankit Shekhar, Lukas Hörtnagl, et al.. (2025). Impact of winter warming on CO 2 fluxes in evergreen needleleaf forests. Biogeosciences. 22(5). 1393–1411. 1 indexed citations
3.
Karl, Thomas R., et al.. (2025). Drought shifts ozone deposition pathways in spruce forest from stomatal to non-stomatal flux. PubMed. 372. 126081–126081. 5 indexed citations
4.
Dutrieux, Loïc, Ladislav Šigut, Marian Pavelka, et al.. (2024). Enhancing Chlorophyll Content Estimation With Sentinel-2 Imagery: A Fusion of Deep Learning and Biophysical Models. 4486–4489.
5.
Novotný, Jan, Ladislav Šigut, Alexander Ač, et al.. (2023). Estimation of photosynthetic dynamics in forests from daily measured fluorescence and PRI data with adjustment for canopy shadow fraction. The Science of The Total Environment. 898. 166386–166386. 2 indexed citations
6.
Kivalov, Sergey, Jiří Dušek, Radek Czerný, et al.. (2023). Addressing Effects of Environment on Eddy-Covariance Flux Estimates at a Temperate Sedge-Grass Marsh. Boundary-Layer Meteorology. 186(2). 217–250. 3 indexed citations
7.
Ač, Alexander, et al.. (2022). Combining NDVI, PRI and the quantum yield of solar-induced fluorescence improves estimations of carbon fluxes in deciduous and evergreen forests. The Science of The Total Environment. 829. 154681–154681. 17 indexed citations
8.
Krejza, Jan, Matthias Haeni, Eva Dařenová, et al.. (2022). Disentangling carbon uptake and allocation in the stems of a spruce forest. Environmental and Experimental Botany. 196. 104787–104787. 23 indexed citations
9.
Šigut, Ladislav, Milan Fischer, Lenka Foltýnová, et al.. (2021). Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests. Atmosphere. 12(9). 1128–1128. 4 indexed citations
10.
Motte, Louis Gourlez de la, Bernard Heinesch, Matthias Cuntz, et al.. (2020). Non-stomatal processes reduce gross primary productivity in temperate forest ecosystems during severe edaphic drought. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1810). 20190527–20190527. 29 indexed citations
11.
Krejza, Jan, et al.. (2020). Comparison of traditional ground-based observations and digital remote sensing of phenological transitions in a floodplain forest. Agricultural and Forest Meteorology. 291. 108079–108079. 24 indexed citations
12.
Šigut, Ladislav, Milan Fischer, Lenka Foltýnová, et al.. (2019). Available Energy Partitioning During Drought at Two Norway Spruce Forests and a European Beech Forest in Central Europe. Journal of Geophysical Research Atmospheres. 124(7). 3726–3742. 13 indexed citations
13.
Šigut, Ladislav, Petr Holub, Silvano Fares, et al.. (2019). Ozone flux and ozone deposition in a mountain spruce forest are modulated by sky conditions. The Science of The Total Environment. 672. 296–304. 25 indexed citations
14.
Collalti, Alessio, Carlo Trotta, Trevor F. Keenan, et al.. (2018). Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate. Journal of Advances in Modeling Earth Systems. 10(10). 2427–2452. 56 indexed citations
15.
Wutzler, Thomas, Antje Lucas-Moffat, Mirco Migliavacca, et al.. (2018). Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences. 15(16). 5015–5030. 658 indexed citations breakdown →
16.
Edwards‐Jonášová, Magda, et al.. (2018). Prediction of ozone effects on net ecosystem production of Norway spruce forest. iForest - Biogeosciences and Forestry. 11(6). 743–750. 22 indexed citations
17.
Marková, Irena, Kateřina Havránková, Radek Pokorný, et al.. (2016). Comparison of different approaches of radiation use efficiency of biomass formation estimation in Mountain Norway spruce. Trees. 31(1). 325–337. 21 indexed citations
18.
Havránková, Kateřina, et al.. (2016). Ecosystem stations - a tool for global change observations. ASEP. 58–67. 1 indexed citations
19.
Štroch, Michal, et al.. (2015). Protective effect of UV-A radiation during acclimation of the photosynthetic apparatus to UV-B treatment. Plant Physiology and Biochemistry. 96. 90–96. 35 indexed citations
20.
Urban, Otmar, Karel Klem, Ladislav Šigut, et al.. (2013). Impact of elevated CO2 concentration on dynamics of leaf photosynthesis in Fagus sylvatica is modulated by sky conditions. Environmental Pollution. 185. 271–280. 40 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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