Werner Mücke

603 total citations
17 papers, 423 citations indexed

About

Werner Mücke is a scholar working on Environmental Engineering, Insect Science and Nature and Landscape Conservation. According to data from OpenAlex, Werner Mücke has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 10 papers in Insect Science and 7 papers in Nature and Landscape Conservation. Recurrent topics in Werner Mücke's work include Remote Sensing and LiDAR Applications (16 papers), Forest Ecology and Biodiversity Studies (10 papers) and Forest ecology and management (7 papers). Werner Mücke is often cited by papers focused on Remote Sensing and LiDAR Applications (16 papers), Forest Ecology and Biodiversity Studies (10 papers) and Forest ecology and management (7 papers). Werner Mücke collaborates with scholars based in Austria, Germany and Hungary. Werner Mücke's co-authors include Norbert Pfeifer, Markus Hollaus, Balázs Déak, Adam Kania, András Zlinszky, Hermann Heilmeier, Cici Alexander, Bernhard Höfle, Marco Helbich and Hubert Lehner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Werner Mücke

16 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Werner Mücke Austria 12 266 199 117 95 75 17 423
Solomon G. Tesfamichael South Africa 13 211 0.8× 206 1.0× 120 1.0× 52 0.5× 126 1.7× 50 483
Katsuto Shimizu Japan 12 220 0.8× 235 1.2× 87 0.7× 53 0.6× 225 3.0× 26 424
Ivan Balenović Croatia 14 378 1.4× 200 1.0× 174 1.5× 119 1.3× 114 1.5× 43 525
Naoyuki Furuya Japan 13 399 1.5× 236 1.2× 236 2.0× 127 1.3× 171 2.3× 38 561
Mihai Daniel Niță Romania 13 129 0.5× 142 0.7× 100 0.9× 50 0.5× 241 3.2× 44 467
R. Denham Australia 11 228 0.9× 272 1.4× 86 0.7× 47 0.5× 154 2.1× 18 475
Darío Domingo Spain 13 258 1.0× 189 0.9× 129 1.1× 35 0.4× 301 4.0× 23 507
Yasumasa Hirata Japan 16 512 1.9× 455 2.3× 314 2.7× 147 1.5× 288 3.8× 51 819
Toshiaki Owari Japan 13 376 1.4× 239 1.2× 208 1.8× 149 1.6× 244 3.3× 52 626
Meinrad Küchler Switzerland 15 294 1.1× 427 2.1× 228 1.9× 70 0.7× 265 3.5× 40 732

Countries citing papers authored by Werner Mücke

Since Specialization
Citations

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

Fields of papers citing papers by Werner Mücke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Werner Mücke

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Mücke. A scholar is included among the top collaborators of Werner Mücke 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 Werner Mücke. Werner Mücke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Hollaus, Markus, Werner Mücke, Bernhard Höfle, et al.. (2025). Tree species classification based on full-waveform airborne laser scanning data. heiDOK (Heidelberg University).
2.
Alexander, Cici, Balázs Déak, Adam Kania, Werner Mücke, & Hermann Heilmeier. (2015). Classification of vegetation in an open landscape using full-waveform airborne laser scanner data. International Journal of Applied Earth Observation and Geoinformation. 41. 76–87. 22 indexed citations
3.
Déak, Balázs, Orsolya Valkó, Cici Alexander, et al.. (2014). Fine-scale vertical position as an indicator of vegetation in alkali grasslands – Case study based on remotely sensed data. Flora. 209(12). 693–697. 58 indexed citations
4.
Zlinszky, András, Adam Kania, Balázs Déak, et al.. (2014). Categorizing Grassland Vegetation with Full-Waveform Airborne Laser Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types. Remote Sensing. 6(9). 8056–8087. 67 indexed citations
5.
Wagner, Wolfgang, Johannes Fröhlich, Michael Staudinger, et al.. (2014). Addressing Grand Challenges in Earth Observation Science: The Earth Observation Data Centre for Water Resources Monitoring. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. II-7. 81–88. 17 indexed citations
6.
Mücke, Werner, et al.. (2013). Comparison of discrete and full-waveform ALS for dead wood detection. SHILAP Revista de lepidopterología. II-5/W2. 199–204. 5 indexed citations
7.
Lindberg, Eva, Markus Hollaus, Werner Mücke, Johan E. S. Fransson, & Norbert Pfeifer. (2013). Detection of lying tree stems from airborne laser scanning data using a line template matching algorithm. SHILAP Revista de lepidopterología. II-5/W2. 169–174. 28 indexed citations
8.
Mücke, Werner, et al.. (2013). Detection of fallen trees in forested areas using small footprint airborne laser scanning data. Canadian Journal of Remote Sensing. 39(sup1). S32–S40. 48 indexed citations
9.
Helbich, Marco, et al.. (2013). Boosting the predictive accuracy of urban hedonic house price models through airborne laser scanning. Computers Environment and Urban Systems. 39. 81–92. 49 indexed citations
10.
Mücke, Werner, et al.. (2013). COMPARISON OF DISCRETE AND FULL-WAVEFORM ALS FEATURES FOR DEAD WOOD DETECTION. 1 indexed citations
11.
Leiterer, Reik, Werner Mücke, Felix Morsdorf, et al.. (2013). Operational forest structure monitoring using airborne laser scanning. Photogrammetrie - Fernerkundung - Geoinformation. 2013(3). 173–184. 12 indexed citations
12.
Leiterer, Reik, Felix Morsdorf, Michael E. Schaepman, et al.. (2012). Robust characterization of forest canopy structure types using full-waveform airborne laser scanning. Zurich Open Repository and Archive (University of Zurich). 1–8. 2 indexed citations
13.
Mücke, Werner, Markus Hollaus, & Norbert Pfeifer. (2012). Identification of dead trees using small footprint full-waveform airborne laser scanning data. 6 indexed citations
14.
Leiterer, Reik, Felix Morsdorf, Michael E. Schaepman, et al.. (2012). A voxel-based approach for canopy structure characterization using full-waveform airborne laser scanning. Zurich Open Repository and Archive (University of Zurich). 23. 3399–3402. 15 indexed citations
15.
Zlinszky, András, Werner Mücke, Hubert Lehner, Christian Briese, & Norbert Pfeifer. (2012). Categorizing Wetland Vegetation by Airborne Laser Scanning on Lake Balaton and Kis-Balaton, Hungary. Remote Sensing. 4(6). 1617–1650. 53 indexed citations
16.
Mücke, Werner & Markus Hollaus. (2011). Modelling light conditions in forests using airborne laser scanning data. 1–8. 15 indexed citations
17.
Hollaus, Markus, Gottfried Mandlburger, Norbert Pfeifer, & Werner Mücke. (2010). LAND COVER DEPENDENT DERIVATION OF DIGITAL SURFACE MODELS FROM AIRBORNE LASER SCANNING DATA. 25 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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