Petra Adler

614 total citations
19 papers, 459 citations indexed

About

Petra Adler is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Petra Adler has authored 19 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 14 papers in Ecology and 12 papers in Nature and Landscape Conservation. Recurrent topics in Petra Adler's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (11 papers) and Forest ecology and management (11 papers). Petra Adler is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (11 papers) and Forest ecology and management (11 papers). Petra Adler collaborates with scholars based in Germany, Switzerland and Austria. Petra Adler's co-authors include Barbara Koch, Gerald Kändler, Veronika Braunisch, Matthias Dees, Sami Ullah, Pawan Datta, Éva Ivits, Johannes Schumacher, Markus Kautz and Thomas Vögtle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Petra Adler

19 papers receiving 437 citations

Peers

Petra Adler
Petra Adler
Citations per year, relative to Petra Adler Petra Adler (= 1×) peers Lorenzo Frizzera

Countries citing papers authored by Petra Adler

Since Specialization
Citations

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

Fields of papers citing papers by Petra Adler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Adler

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

All Works

19 of 19 papers shown
1.
Adler, Petra, et al.. (2024). Detailed validation of large-scale Sentinel-2-based forest disturbance maps across Germany. Forestry An International Journal of Forest Research. 98(3). 437–453. 5 indexed citations
2.
Kautz, Markus, et al.. (2024). Early detection of bark beetle (Ips typographus) infestations by remote sensing – A critical review of recent research. Forest Ecology and Management. 556. 121595–121595. 22 indexed citations
3.
Winiger, Nathalie, et al.. (2023). Bat habitat selection reveals positive effects of retention forestry. Forest Ecology and Management. 531. 120783–120783. 11 indexed citations
6.
Ullah, Sami, Matthias Dees, Pawan Datta, et al.. (2020). Comparing the potential of stereo aerial photographs, stereo very high-resolution satellite images, and TanDEM-X for estimating forest height. International Journal of Remote Sensing. 41(18). 6976–6992. 18 indexed citations
7.
Ullah, Sami, Matthias Dees, Pawan Datta, et al.. (2019). Potential of Modern Photogrammetry Versus Airborne Laser Scanning for Estimating Forest Variables in a Mountain Environment. Remote Sensing. 11(6). 661–661. 8 indexed citations
9.
10.
Schumacher, Johannes, et al.. (2019). Combination of Multi-Temporal Sentinel 2 Images and Aerial Image Based Canopy Height Models for Timber Volume Modelling. Forests. 10(9). 746–746. 19 indexed citations
11.
Ullah, Sami, Matthias Dees, Pawan Datta, Petra Adler, & Barbara Koch. (2017). Comparing Airborne Laser Scanning, and Image-Based Point Clouds by Semi-Global Matching and Enhanced Automatic Terrain Extraction to Estimate Forest Timber Volume. Forests. 8(6). 215–215. 25 indexed citations
12.
Ullah, Sami, Petra Adler, Matthias Dees, et al.. (2017). Comparing image-based point clouds and airborne laser scanning data for estimating forest heights. iForest - Biogeosciences and Forestry. 10(1). 273–280. 12 indexed citations
13.
Schumacher, Johannes, et al.. (2017). Considerations towards a Novel Approach for Integrating Angle-Count Sampling Data in Remote Sensing Based Forest Inventories. Forests. 8(7). 239–239. 13 indexed citations
14.
Magnussen, Steen, et al.. (2016). A functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds. Remote Sensing of Environment. 184. 496–505. 9 indexed citations
15.
Adler, Petra, et al.. (2016). Automated Detection of Forest Gaps in Spruce Dominated Stands Using Canopy Height Models Derived from Stereo Aerial Imagery. Remote Sensing. 8(3). 175–175. 44 indexed citations
16.
Vögtle, Thomas, et al.. (2012). Terrestrial laser scanning for estimating urban tree volume and carbon content. International Journal of Remote Sensing. 33(21). 6652–6667. 28 indexed citations
17.
Adler, Petra, et al.. (2012). VOXEL-BASED APPROACH FOR ESTIMATING URBAN TREE VOLUME FROM TERRESTRIAL LASER SCANNING DATA. SHILAP Revista de lepidopterología. XXXIX-B8. 451–456. 28 indexed citations
18.
Vanbergen, Adam J., Ben A. Woodcock, Matti Koivula, et al.. (2010). Trophic level modulates carabid beetle responses to habitat and landscape structure: a pan‐European study. Ecological Entomology. 35(2). 226–235. 45 indexed citations
19.
Ivits, Éva, et al.. (2005). Landscape structure assessment with image grey‐values and object‐based classification at three spatial resolutions. International Journal of Remote Sensing. 26(14). 2975–2993. 32 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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