Manuela Hirschmugl

1.2k total citations · 1 hit paper
29 papers, 924 citations indexed

About

Manuela Hirschmugl is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Manuela Hirschmugl has authored 29 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 16 papers in Ecology and 9 papers in Global and Planetary Change. Recurrent topics in Manuela Hirschmugl's work include Remote Sensing and LiDAR Applications (23 papers), Remote Sensing in Agriculture (15 papers) and Forest ecology and management (7 papers). Manuela Hirschmugl is often cited by papers focused on Remote Sensing and LiDAR Applications (23 papers), Remote Sensing in Agriculture (15 papers) and Forest ecology and management (7 papers). Manuela Hirschmugl collaborates with scholars based in Austria, United States and Italy. Manuela Hirschmugl's co-authors include Mathias Schardt, M. Schardt, Mikko Vastaranta, Juha Hyyppä, Markus Holopainen, Christian Heipke, Svein Solberg, Juho Pitkänen, Jee-Cheng Wu and Sorin Popescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Manuela Hirschmugl

25 papers receiving 886 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

2012 400 citations Harri Kaartinen, Juha Hyyppä et al. Remote Sensing profile →

Peers

Countries citing papers authored by Manuela Hirschmugl

Since Specialization

Citations

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

Fields of papers citing papers by Manuela Hirschmugl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Hirschmugl

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Hirschmugl. A scholar is included among the top collaborators of Manuela Hirschmugl 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 Manuela Hirschmugl. Manuela Hirschmugl 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

#	Work	Indexed citations
1	Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe 2023 ·Environmental Modeling & Assessment ·Manuela Hirschmugl, (unknown), Alfredo Di Filippo, (unknown), (unknown), Kris Vandekerkhove	10
2	Assessing the Vertical Structure of Forests Using Airborne and Spaceborne LiDAR Data in the Austrian Alps 2023 ·Remote Sensing ·Manuela Hirschmugl, Florian Lippl, (unknown)	12
3	Deep Learning for Improved Individual Tree Detection from Lidar Data 2022 ·IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium ·(unknown), Manuela Hirschmugl, Roland Perko, Andreas Wimmer	2
4	A Near Real-Time Method for Forest Change Detection Based on a Structural Time Series Model and the Kalman Filter 2020 ·Remote Sensing ·(unknown), (unknown), Manuela Hirschmugl, Andreas Wimmer, (unknown), Mathias Schardt	19
5	Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping 2020 ·Remote Sensing ·Manuela Hirschmugl, (unknown), (unknown), Alexandre Bouvet, Stéphane Mermoz, Mathias Schardt	62
6	Review of Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data. 2017 ·arXiv (Cornell University) ·Manuela Hirschmugl, Heinz Gallaun, Matthias Dees, Pawan Datta, (unknown), Nikos Koutsias, Mathias Schardt	0
7	Humid tropical forest monitoring with multi-temporal L-, C- and X-band SAR data 2017 ·(unknown), Karlheinz Gutjahr, Roland Perko, Hannes Raggam, Manuela Hirschmugl, Mathias Schardt	12
8	Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review 2017 ·Current Forestry Reports ·Manuela Hirschmugl, Heinz Gallaun, Matthias Dees, Pawan Datta, (unknown), Nikos Koutsias, Mathias Schardt	66
9	Updating lidar-derived crown cover density products with sentinel-2 2017 ·(unknown), (unknown), Martin Steinegger, Manuela Hirschmugl, Roland Perko, Mathias Schardt	1
10	Combined use of SAR and optical time series data for near real-time forest disturbance mapping 2017 ·Manuela Hirschmugl, (unknown), Karlheinz Gutjahr, (unknown), Mathias Schardt	11
11	The assessment of forest parameters by combined LiDAR and satellite data over Alpine regions – EUFODOS Implementation in Austria / Hodnotenie parametrov lesa kombináciou LIDAR-u a satelitných údajov v alpských regiónoch – implementácia systému EUFODOS v Rakúsku 2015 ·SHILAP Revista de lepidopterología ·Mathias Schardt, (unknown), Manuela Hirschmugl, (unknown), (unknown), Martin Steinegger, Heinz Gallaun, Andreas Wimmer, Stefanie Linser	3
12	Mapping Forest Degradation due to Selective Logging by Means of Time Series Analysis: Case Studies in Central Africa 2014 ·Remote Sensing ·Manuela Hirschmugl, Martin Steinegger, Heinz Gallaun, Mathias Schardt	47
13	EUFODOS: European Forest Downstream Services – Improved Information on Forest Structure and Damage 2013 ·SHILAP Revista de lepidopterología ·Manuela Hirschmugl, Heinz Gallaun, (unknown), (unknown), M. Schardt	2
14	Mapping Tropical Rainforest Canopy Disturbances in 3D by COSMO-SkyMed Spotlight InSAR-Stereo Data to Detect Areas of Forest Degradation 2013 ·Remote Sensing ·(unknown), Roland Perko, Karlheinz Gutjahr, Manuela Hirschmugl, Mathias Schardt	37
15	An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning breakdown → 2012 ·Remote Sensing ·Harri Kaartinen, Juha Hyyppä, Xiaowei Yu, Mikko Vastaranta, Hannu Hyyppä, Antero Kukko, Markus Holopainen, Christian Heipke, Manuela Hirschmugl, Felix Morsdorf, Erik Næsset, Juho Pitkänen, Sorin Popescu, Svein Solberg, (unknown), Jee-Cheng Wu	400
16	Global Change Research in the Carpathian Mountain Region 2009 ·Mountain Research and Development ·Astrid Björnsen Gurung, Anita Bokwa, (unknown), Marine Elbakidze, Manuela Hirschmugl, Patrick Hostert, Pierre L. Ibisch, Jacek Kozak, Tobias Kuemmerle, (unknown), Katarzyna Ostapowicz, (unknown), Lars Holger Schmidt, Sebastian van der Linden, Marc Zebisch	44
17	LANDSLIDE DETECTION AND SUSCEPTIBILITY MAPPING USING INNOVATIVE REMOTE SENSING DATA SOURCES 2008 ·Oldrich Hungr, (unknown), Herwig Proske, (unknown), Manuela Hirschmugl, Michael Wurm	2
18	Generation and webgis representation of landslide susceptibility maps using VHR satellite data 2007 ·(unknown), Alexander Almér, Manuela Hirschmugl, Herwig Proske, Michael Wurm, (unknown), (unknown), M. Schardt	1
19	Methods for the automation estimation of forest attributes from aerial imagery 2005 ·Manuela Hirschmugl, Mathias Schardt	1
20	Comparison of aerial photographs and laser scanning data as methods for obtaining 3D forest stand parameters 2004 ·Mathias Schardt, (unknown), Manuela Hirschmugl, (unknown), (unknown)	3

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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