Torsten W. Berger

1.6k total citations
43 papers, 1.3k citations indexed

About

Torsten W. Berger is a scholar working on Nature and Landscape Conservation, Soil Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Torsten W. Berger has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nature and Landscape Conservation, 14 papers in Soil Science and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Torsten W. Berger's work include Soil Carbon and Nitrogen Dynamics (13 papers), Lichen and fungal ecology (12 papers) and Forest ecology and management (11 papers). Torsten W. Berger is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (13 papers), Lichen and fungal ecology (12 papers) and Forest ecology and management (11 papers). Torsten W. Berger collaborates with scholars based in Austria, Slovakia and United States. Torsten W. Berger's co-authors include Gerhard Glatzel, Christian Neubauer, Sophie Zechmeister‐Boltenstern, Thomas Prohaska, Erich Inselsbacher, Gene E. Likens, Franz Zehetner, Ika Djukic, Martin H. Gerzabek and Olivier Duboc and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and New Phytologist.

In The Last Decade

Torsten W. Berger

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten W. Berger Austria 22 545 414 389 309 309 43 1.3k
M. M. Coûteaux France 15 673 1.2× 338 0.8× 428 1.1× 277 0.9× 217 0.7× 17 1.2k
Monique Carnol Belgium 25 521 1.0× 377 0.9× 452 1.2× 414 1.3× 562 1.8× 71 1.7k
Victoria J. Allison United States 13 790 1.4× 351 0.8× 519 1.3× 191 0.6× 486 1.6× 16 1.5k
Bernd Zeller France 25 770 1.4× 218 0.5× 489 1.3× 320 1.0× 529 1.7× 54 1.6k
Nathalie Cools Belgium 14 568 1.0× 294 0.7× 341 0.9× 251 0.8× 221 0.7× 37 1.0k
Manuel Nicolas France 26 582 1.1× 593 1.4× 530 1.4× 537 1.7× 550 1.8× 58 1.8k
Antti‐Jussi Lindroos Finland 17 296 0.5× 226 0.5× 270 0.7× 221 0.7× 254 0.8× 65 950
María‐Belén Turrión Spain 22 842 1.5× 307 0.7× 416 1.1× 302 1.0× 263 0.9× 50 1.4k
Zhiwei Xu China 21 606 1.1× 471 1.1× 452 1.2× 380 1.2× 520 1.7× 48 1.6k
Hannu Mannerkoski Finland 19 402 0.7× 370 0.9× 541 1.4× 421 1.4× 253 0.8× 33 1.3k

Countries citing papers authored by Torsten W. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Torsten W. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torsten W. Berger. 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 Torsten W. Berger. The network helps show where Torsten W. Berger may publish in the future.

Co-authorship network of co-authors of Torsten W. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten W. Berger. A scholar is included among the top collaborators of Torsten W. Berger 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 Torsten W. Berger. Torsten W. Berger 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.
Mayer, Mathias, Michael Grabner, Michael Tatzber, et al.. (2025). Substantial Deep‐Soil Carbon Losses Outweigh Topsoil Gains in European Beech Forests Since the 1980s. Global Change Biology. 31(9). e70446–e70446.
2.
Mayer, Mathias, Michael Grabner, Michael Tatzber, et al.. (2025). Ranked growth response to drought for 14 tree species in a temperate forested landscape in Austria. Forest Ecology and Management. 593. 122860–122860. 1 indexed citations
3.
Mayer, Mathias, Bradley Matthews, Hans Sandén, et al.. (2023). Soil fertility determines whether ectomycorrhizal fungi accelerate or decelerate decomposition in a temperate forest. New Phytologist. 239(1). 325–339. 29 indexed citations
4.
Berger, Torsten W., et al.. (2020). Modeling the biogeochemistry of sulfur in beech (Fagus sylvatica L.) stands of the Vienna Woods. Modeling Earth Systems and Environment. 6(3). 1557–1572. 2 indexed citations
5.
Gartner, Karl, et al.. (2019). The impact of rising temperatures on water balance and phenology of European beech (Fagus sylvatica L.) stands. Modeling Earth Systems and Environment. 5(4). 1347–1363. 25 indexed citations
6.
Prohaska, Thomas, et al.. (2017). Fractionation of sulfur (S) in beech (Fagus sylvatica) forest soils in relation to distance from the stem base as useful tool for modeling S biogeochemistry. Modeling Earth Systems and Environment. 3(3). 1065–1079. 6 indexed citations
7.
8.
Santner, Jakob, et al.. (2016). Diffusive gradients in thin films measurement of sulfur stable isotope variations in labile soil sulfate. Analytical and Bioanalytical Chemistry. 408(29). 8333–8341. 5 indexed citations
9.
Mason, Sean, et al.. (2016). Novel diffusive gradients in thin films technique to assess labile sulfate in soil. Analytical and Bioanalytical Chemistry. 408(24). 6759–6767. 11 indexed citations
10.
11.
Vanguelova, Elena, Eleonora Bonifacio, Bruno De Vos, et al.. (2016). Sources of errors and uncertainties in the assessment of forest soil carbon stocks at different scales—review and recommendations. Environmental Monitoring and Assessment. 188(11). 630–630. 61 indexed citations
12.
Berger, Torsten W., et al.. (2016). Predicting recovery from acid rain using the micro-spatial heterogeneity of soil columns downhill the infiltration zone of beech stemflow: introduction of a hypothesis. Modeling Earth Systems and Environment. 2(3). 154–154. 6 indexed citations
13.
Gartner, Karl, et al.. (2015). A new approach to predict soil temperature under vegetated surfaces. Modeling Earth Systems and Environment. 1(4). 32–32. 13 indexed citations
14.
Berger, Torsten W., et al.. (2015). MC ICP-MS δ 34SVCDT measurement of dissolved sulfate in environmental aqueous samples after matrix separation by means of an anion exchange membrane. Analytical and Bioanalytical Chemistry. 408(2). 399–407. 18 indexed citations
15.
Berger, Torsten W., et al.. (2013). Does mixing of beech (Fagus sylvatica) and spruce (Picea abies) litter hasten decomposition?. Plant and Soil. 377(1-2). 217–234. 33 indexed citations
16.
17.
Berger, Torsten W., Erich Inselsbacher, & Sophie Zechmeister‐Boltenstern. (2010). Carbon dioxide emissions of soils under pure and mixed stands of beech and spruce, affected by decomposing foliage litter mixtures. Soil Biology and Biochemistry. 42(6). 986–997. 46 indexed citations
18.
Bailer, Werner, Torsten W. Berger, Mario Döller, et al.. (2009). How to align media metadata schemas ? Design and implementation of the media ontology. Data Archiving and Networked Services (DANS). 2 indexed citations
19.
Berger, Torsten W., et al.. (2006). The role of calcium uptake from deep soils for spruce (Picea abies) and beech (Fagus sylvatica). Forest Ecology and Management. 229(1-3). 234–246. 80 indexed citations
20.
Berger, Torsten W. & Herbert Hager. (2000). Physical top soil properties in pure stands of Norway spruce (Picea abies) and mixed species stands in Austria. Forest Ecology and Management. 136(1-3). 159–172. 30 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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