Marius Hauglin

851 total citations
29 papers, 657 citations indexed

About

Marius Hauglin is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Marius Hauglin has authored 29 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 24 papers in Nature and Landscape Conservation and 13 papers in Insect Science. Recurrent topics in Marius Hauglin's work include Remote Sensing and LiDAR Applications (26 papers), Forest ecology and management (24 papers) and Forest Ecology and Biodiversity Studies (13 papers). Marius Hauglin is often cited by papers focused on Remote Sensing and LiDAR Applications (26 papers), Forest ecology and management (24 papers) and Forest Ecology and Biodiversity Studies (13 papers). Marius Hauglin collaborates with scholars based in Norway, Finland and Italy. Marius Hauglin's co-authors include Terje Gobakken, Erik Næsset, Rasmus Astrup, Johannes Breidenbach, Stefano Puliti, Johannes Rahlf, Hans Ole Ørka, Johannes Schumacher, Francesca Giannetti and Endre Hansen and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Marius Hauglin

27 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marius Hauglin Norway 15 565 368 238 224 133 29 657
Sébastien Bauwens Belgium 10 683 1.2× 506 1.4× 276 1.2× 220 1.0× 234 1.8× 19 915
Risto Viitala Finland 12 612 1.1× 452 1.2× 265 1.1× 293 1.3× 110 0.8× 21 735
Ville Luoma Finland 14 511 0.9× 369 1.0× 176 0.7× 217 1.0× 119 0.9× 30 601
Martin Béland Canada 13 517 0.9× 445 1.2× 356 1.5× 200 0.9× 303 2.3× 27 847
Guangcai Xu China 13 691 1.2× 389 1.1× 451 1.9× 163 0.7× 210 1.6× 31 987
Louise Terryn Belgium 7 545 1.0× 403 1.1× 216 0.9× 177 0.8× 152 1.1× 23 644
Ivan Balenović Croatia 14 378 0.7× 174 0.5× 200 0.8× 119 0.5× 114 0.9× 43 525
Martin van Leeuwen United States 12 907 1.6× 538 1.5× 472 2.0× 300 1.3× 190 1.4× 25 1.1k
Juan Guerra-Hernández Portugal 21 878 1.6× 444 1.2× 493 2.1× 215 1.0× 344 2.6× 46 1.0k
Milan Koreň Slovakia 12 283 0.5× 170 0.5× 177 0.7× 131 0.6× 79 0.6× 26 441

Countries citing papers authored by Marius Hauglin

Since Specialization
Citations

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

Fields of papers citing papers by Marius Hauglin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Hauglin

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Hauglin. A scholar is included among the top collaborators of Marius Hauglin 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 Marius Hauglin. Marius Hauglin 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.
Hagenbo, Andreas, Lise Dalsgaard, Marius Hauglin, et al.. (2025). Spatial predictive modeling of soil organic carbon stocks in Norwegian forests. The Science of The Total Environment. 980. 179451–179451.
2.
González‐Olabarria, José Ramón, Antoni Trasobares, Núria Aquilué, et al.. (2024). Satellite-based mapping of canopy fuels at the pan-European scale. Geo-spatial Information Science. 28(4). 1465–1493. 1 indexed citations
3.
Miina, Jari, et al.. (2024). Modelling and mapping the abundance of lingonberry (Vaccinium vitis-idaea L.) in Norway. Global Ecology and Conservation. 54. e03195–e03195.
4.
Gobakken, Terje, et al.. (2023). Accuracy assessment of the nationwide forest attribute map of Norway constructed by using airborne laser scanning data and field data from the national forest inventory. Scandinavian Journal of Forest Research. 38(1-2). 9–22. 1 indexed citations
5.
Hauglin, Marius, et al.. (2022). Assessing and mitigating systematic errors in forest attribute maps utilizing harvester and airborne laser scanning data. Canadian Journal of Forest Research. 53(4). 284–301. 4 indexed citations
6.
Schumacher, Johannes, et al.. (2022). The utility of forest attribute maps for automated Avalanche Terrain Exposure Scale (ATES) modelling. Scandinavian Journal of Forest Research. 37(4). 264–275. 4 indexed citations
7.
Hauglin, Marius, Johannes Rahlf, Johannes Schumacher, Rasmus Astrup, & Johannes Breidenbach. (2021). Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data. Forest Ecosystems. 8. 65–65. 41 indexed citations
8.
Breidenbach, Johannes, Lars T. Waser‬, Misganu Debella-Gilo, et al.. (2020). National mapping and estimation of forest area by dominant tree species using Sentinel-2 data. Canadian Journal of Forest Research. 51(3). 365–379. 48 indexed citations
9.
Maltamo, Matti, Marius Hauglin, Erik Næsset, & Terje Gobakken. (2019). Estimating stand level stem diameter distribution utilizing harvester data and airborne laser scanning. Silva Fennica. 53(3). 23 indexed citations
10.
Høibø, Olav, et al.. (2018). Predicting dynamic modulus of elasticity of Norway spruce structural timber by forest inventory, airborne laser scanning and harvester-derived data. Scandinavian Journal of Forest Research. 33(6). 603–612. 6 indexed citations
11.
Hauglin, Marius, et al.. (2018). Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection. Remote Sensing. 10(4). 538–538. 63 indexed citations
12.
Bergseng, Even, et al.. (2018). Ressursoversikt og prognoser for framtidig virkestilgang fra SR16. BIBSYS Brage (BIBSYS (Norway)). 1 indexed citations
13.
Hauglin, Marius, et al.. (2017). Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner. Remote Sensing. 9(4). 350–350. 38 indexed citations
14.
Hauglin, Marius, Ole Martin Bollandsås, Terje Gobakken, & Erik Næsset. (2017). Monitoring small pioneer trees in the forest-tundra ecotone: using multi-temporal airborne laser scanning data to model height growth. Environmental Monitoring and Assessment. 190(1). 12–12. 13 indexed citations
15.
Ørka, Hans Ole & Marius Hauglin. (2016). Use of remote sensing for mapping of non-native conifer species. Duo Research Archive (University of Oslo). 14 indexed citations
16.
Hauglin, Marius, Terje Gobakken, Rasmus Astrup, Liviu Theodor Ene, & Erik Næsset. (2014). Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data. Forests. 5(3). 384–403. 40 indexed citations
17.
Hauglin, Marius, et al.. (2014). Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures. Remote Sensing. 6(5). 4582–4599. 7 indexed citations
18.
Hauglin, Marius, et al.. (2014). Geo-referencing forest field plots by co-registration of terrestrial and airborne laser scanning data. International Journal of Remote Sensing. 35(9). 3135–3149. 57 indexed citations
19.
Hauglin, Marius, Rasmus Astrup, Terje Gobakken, & Erik Næsset. (2013). Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features. Scandinavian Journal of Forest Research. 28(5). 456–469. 51 indexed citations
20.
Hauglin, Marius, Janka Dibdiaková, Terje Gobakken, & Erik Næsset. (2011). Estimating single-tree branch biomass of Norway spruce by airborne laser scanning.. 1–9. 3 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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