Klemens Schadauer

1.7k total citations
35 papers, 1.1k citations indexed

About

Klemens Schadauer is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Klemens Schadauer has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nature and Landscape Conservation, 23 papers in Environmental Engineering and 19 papers in Global and Planetary Change. Recurrent topics in Klemens Schadauer's work include Forest ecology and management (25 papers), Remote Sensing and LiDAR Applications (21 papers) and Forest Management and Policy (14 papers). Klemens Schadauer is often cited by papers focused on Forest ecology and management (25 papers), Remote Sensing and LiDAR Applications (21 papers) and Forest Management and Policy (14 papers). Klemens Schadauer collaborates with scholars based in Austria, United States and Sweden. Klemens Schadauer's co-authors include Markus Hollaus, Wolfgang Wagner, Thomas Gschwantner, Claude Vidal, Bernhard Maier, Adrian Lanz, Ronald E. McRoberts, Erkki Tomppo, Hubert Hasenauer and Steven W. Running and has published in prestigious journals such as Journal of Cleaner Production, Nature Climate Change and Sensors.

In The Last Decade

Klemens Schadauer

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klemens Schadauer Austria 20 706 616 580 372 270 35 1.1k
Philip J. Radtke United States 18 952 1.3× 807 1.3× 540 0.9× 287 0.8× 332 1.2× 50 1.3k
Gordon W. Frazer Canada 14 688 1.0× 671 1.1× 340 0.6× 251 0.7× 494 1.8× 18 1.1k
Icíar Alberdi Spain 19 778 1.1× 387 0.6× 768 1.3× 397 1.1× 272 1.0× 61 1.3k
Sören Holm Sweden 21 1.1k 1.5× 1.2k 1.9× 649 1.1× 374 1.0× 620 2.3× 35 1.6k
Kalle Eerikäinen Finland 18 844 1.2× 783 1.3× 428 0.7× 495 1.3× 292 1.1× 42 1.1k
Y.A. Hussin Netherlands 16 774 1.1× 882 1.4× 519 0.9× 162 0.4× 546 2.0× 74 1.4k
Carlos A. López‐Sánchez Spain 20 615 0.9× 561 0.9× 450 0.8× 114 0.3× 474 1.8× 68 1.2k
Jeff W. Atkins United States 20 689 1.0× 381 0.6× 593 1.0× 198 0.5× 398 1.5× 60 1.1k
Kjersti Hanssen Norway 14 522 0.7× 414 0.7× 350 0.6× 249 0.7× 348 1.3× 37 896
Gerald Kändler Germany 20 656 0.9× 297 0.5× 568 1.0× 245 0.7× 294 1.1× 38 1.0k

Countries citing papers authored by Klemens Schadauer

Since Specialization
Citations

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

Fields of papers citing papers by Klemens Schadauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klemens Schadauer

This figure shows the co-authorship network connecting the top 25 collaborators of Klemens Schadauer. A scholar is included among the top collaborators of Klemens Schadauer 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 Klemens Schadauer. Klemens Schadauer 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.
Päivinen, R., Rasmus Astrup, Richard A. Birdsey, et al.. (2023). Ensure forest-data integrity for climate change studies. Nature Climate Change. 13(6). 495–496. 2 indexed citations
2.
Ledermann, Thomas, Martin Braun, Georg Kindermann, et al.. (2022). Effects of Silvicultural Adaptation Measures on Carbon Stock of Austrian Forests. Forests. 13(4). 565–565. 5 indexed citations
3.
Mantau, Udo, Thomas Gschwantner, Alessandro Paletto, et al.. (2016). From inventory to consumer biomass availability—the ITOC model. Annals of Forest Science. 73(4). 885–894. 7 indexed citations
4.
Gschwantner, Thomas, Adrian Lanz, Claude Vidal, et al.. (2016). Comparison of methods used in European National Forest Inventories for the estimation of volume increment: towards harmonisation. Annals of Forest Science. 73(4). 807–821. 38 indexed citations
5.
Packalen, Tuula, Ola Sallnäs, Olli Salminen, et al.. (2014). The European Forestry Dynamics Model (EFDM). Joint Research Centre (European Commission). 15 indexed citations
6.
Schadauer, Klemens, et al.. (2012). An Enquiry on Forest Areas Reported to the Global Forest Resources Assessment—Is Harmonization Needed?. Forest Science. 58(3). 201–213. 10 indexed citations
7.
Tomppo, Erkki & Klemens Schadauer. (2012). Harmonization of National Forest Inventories in Europe: Advances under COST Action E43. Forest Science. 58(3). 191–200. 26 indexed citations
8.
McRoberts, Ronald E., Erkki Tomppo, Klemens Schadauer, & Göran Ståhl. (2012). Harmonizing National Forest Inventories. Forest Science. 58(3). 189–190. 25 indexed citations
9.
Hollaus, Markus, et al.. (2011). Crown coverage calculation based on ALS data. 1–10. 6 indexed citations
10.
McRoberts, Ronald E., Erkki Tomppo, Klemens Schadauer, et al.. (2009). Harmonizing National Forest Inventories. Journal of Forestry. 107(4). 179–187. 60 indexed citations
11.
Hollaus, Markus, et al.. (2009). Growing stock estimation for alpine forests in Austria: a robust lidar-based approach. Canadian Journal of Forest Research. 39(7). 1387–1400. 59 indexed citations
12.
Gschwantner, Thomas, Klemens Schadauer, Claude Vidal, et al.. (2009). Common tree definitions for national forest inventories in Europe. Silva Fennica. 43(2). 84 indexed citations
13.
Hollaus, Markus, Wolfgang Wagner, Bernhard Maier, & Klemens Schadauer. (2007). Airborne Laser Scanning of Forest Stem Volume in a Mountainous Environment. Sensors. 7(8). 1559–1577. 97 indexed citations
14.
Geburek, Thomas, et al.. (2007). Different cone colours pay off: lessons learnt from European larch (Larix decidua) and Norway spruce (Picea abies). Canadian Journal of Botany. 85(2). 132–140. 10 indexed citations
15.
Brumme, R., Klaus Butterbach‐Bahl, J. Grace, et al.. (2004). Specific study on forest greenhouse gas budget. Socio-Environmental Systems Modeling. 18–20. 15 indexed citations
16.
Lexer, Manfred J., Karl Hönninger, Helfried Scheifinger, et al.. (2002). The sensitivity of Austrian forests to scenarios of climatic change: a large-scale risk assessment based on a modified gap model and forest inventory data. Forest Ecology and Management. 162(1). 53–72. 80 indexed citations
17.
Schadauer, Klemens, et al.. (2000). Conditions for forest restoration in Austria analysis based on forest inventory data.. 223–228. 4 indexed citations
18.
Weiss, Peter, et al.. (2000). DIE KOHLENSTOFFBILANZ DES ÖSTERREICHISCHEN WALDES UND BETRACHTUNGEN ZUM KYOTO-PROTOKOLL. 25 indexed citations
19.
Hasenauer, Hubert, Ramakrishna Nemani, Klemens Schadauer, & Steven W. Running. (1999). Forest growth response to changing climate between 1961 and 1990 in Austria. Forest Ecology and Management. 122(3). 209–219. 82 indexed citations
20.
Hasenauer, Hubert, Ramakrishna Nemani, Klemens Schadauer, & Steven W. Running. (1999). Climate variations and tree growth between 1961 and 1995 in Austria. The Mathematics Enthusiast. 75. 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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