Lukas Winiwarter

841 total citations
32 papers, 517 citations indexed

About

Lukas Winiwarter is a scholar working on Environmental Engineering, Geology and Ecology. According to data from OpenAlex, Lukas Winiwarter has authored 32 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 18 papers in Geology and 14 papers in Ecology. Recurrent topics in Lukas Winiwarter's work include Remote Sensing and LiDAR Applications (30 papers), 3D Surveying and Cultural Heritage (18 papers) and Remote Sensing in Agriculture (12 papers). Lukas Winiwarter is often cited by papers focused on Remote Sensing and LiDAR Applications (30 papers), 3D Surveying and Cultural Heritage (18 papers) and Remote Sensing in Agriculture (12 papers). Lukas Winiwarter collaborates with scholars based in Germany, Austria and Spain. Lukas Winiwarter's co-authors include Bernhard Höfle, Katharina Anders, Jack G. Williams, Fabian Ewald Fassnacht, Gottfried Mandlburger, Norbert Pfeifer, Jorge Martínez Sánchez, Roderik Lindenbergh, Martin Rutzinger and Daniel Wujanz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Access.

In The Last Decade

Lukas Winiwarter

31 papers receiving 508 citations

Peers

Lukas Winiwarter

GEOLO

ECOLO

NLC

GPC

Johannes Otepka Austria

Magnus Bremer Austria

Philipp Glira Austria

Wilfried Karel Austria

Krzysztof Bakuła Poland

Zhenyang Hui China

Kirsi Karila Finland

Camillo Ressl Austria

Jiayuan Lin China

Johannes Otepka Austria

Lukas Winiwarter

367 ×0.8

217 ×0.8

GEOLO

118 ×0.9

ECOLO

89 ×0.8

NLC

35 ×0.5

GPC

Citations per year, relative to Lukas Winiwarter Lukas Winiwarter (= 1×) peers Johannes Otepka

Countries citing papers authored by Lukas Winiwarter

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Winiwarter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Winiwarter

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

All Works

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20 of 20 papers shown

Balado, Jesús, et al.. (2024). A systematic literature review of low-cost 3D mapping solutions. Information Fusion. 114. 102656–102656. 6 indexed citations

Winiwarter, Lukas, et al.. (2024). Extraction of Forest Road Information from CubeSat Imagery Using Convolutional Neural Networks. Remote Sensing. 16(6). 1083–1083. 4 indexed citations

Berger, Ambros, et al.. (2024). Evaluating Tree Species Mapping: Probability Sampling Validation of Pure and Mixed Species Classes Using Convolutional Neural Networks and Sentinel-2 Time Series. Remote Sensing. 16(16). 2887–2887. 2 indexed citations

Winiwarter, Lukas, Bernhard Höfle, Sebastian Schmidtlein, et al.. (2024). CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography. European Journal of Remote Sensing. 57(1).

Coops, Nicholas C., et al.. (2023). Estimating tree species composition from airborne laser scanning data using point-based deep learning models. ISPRS Journal of Photogrammetry and Remote Sensing. 207. 282–297. 9 indexed citations

Coops, Nicholas C., et al.. (2023). Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest. SHILAP Revista de lepidopterología. 8. 100110–100110. 12 indexed citations

Winiwarter, Lukas, et al.. (2023). Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering. Earth Surface Dynamics. 11(4). 593–613. 11 indexed citations

Winiwarter, Lukas, et al.. (2023). Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator. Forestry An International Journal of Forest Research. 96(5). 653–671. 7 indexed citations

Winiwarter, Lukas, Jan Novotný, Bernhard Höfle, et al.. (2023). Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models. Forestry An International Journal of Forest Research. 97(4). 512–530. 3 indexed citations

10.

Anders, Katharina, et al.. (2022). Permanent terrestrial LiDAR monitoring in mining, natural hazard prevention and infrastructure protection – Chances, risks, and challenges: A case study of a rockfall in Tyrol, Austria. RiuNet (Politechnical University of Valencia). 11 indexed citations

11.

Winiwarter, Lukas, et al.. (2022). Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests. Earth system science data. 14(7). 2989–3012. 60 indexed citations

12.

Anders, Katharina, Lukas Winiwarter, & Bernhard Höfle. (2022). Improving Change Analysis From Near-Continuous 3D Time Series by Considering Full Temporal Information. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations

13.

Winiwarter, Lukas, et al.. (2022). Virtual LiDAR Simulation as a High Performance Computing Challenge: Toward HPC HELIOS++. IEEE Access. 10. 105052–105073. 5 indexed citations

14.

Winiwarter, Lukas, et al.. (2021). Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal of Photogrammetry and Remote Sensing. 183. 541–559. 34 indexed citations

15.

Winiwarter, Lukas, Katharina Anders, & Bernhard Höfle. (2021). M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation. ISPRS Journal of Photogrammetry and Remote Sensing. 178. 240–258. 54 indexed citations

16.

Anders, Katharina, et al.. (2021). Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes. ISPRS Journal of Photogrammetry and Remote Sensing. 173. 297–308. 29 indexed citations

17.

Winiwarter, Lukas, et al.. (2021). Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning. Remote Sensing of Environment. 269. 112772–112772. 81 indexed citations

18.

Winiwarter, Lukas, et al.. (2020). Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 607–623. 10 indexed citations

19.

Williams, Jack G., et al.. (2020). Multi-directional change detection between point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 172. 95–113. 24 indexed citations

20.

Winiwarter, Lukas, Katharina Anders, Daniel Wujanz, & Bernhard Höfle. (2020). INFLUENCE OF RANGING UNCERTAINTY OF TERRESTRIAL LASER SCANNING ON CHANGE DETECTION IN TOPOGRAPHIC 3D POINT CLOUDS. SHILAP Revista de lepidopterología. V-2-2020. 789–796. 8 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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