Jörgen Wallerman

1.7k total citations
64 papers, 1.3k citations indexed

About

Jörgen Wallerman is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Jörgen Wallerman has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Environmental Engineering, 42 papers in Nature and Landscape Conservation and 20 papers in Ecology. Recurrent topics in Jörgen Wallerman's work include Remote Sensing and LiDAR Applications (45 papers), Forest ecology and management (42 papers) and Forest Ecology and Biodiversity Studies (17 papers). Jörgen Wallerman is often cited by papers focused on Remote Sensing and LiDAR Applications (45 papers), Forest ecology and management (42 papers) and Forest Ecology and Biodiversity Studies (17 papers). Jörgen Wallerman collaborates with scholars based in Sweden, Finland and Switzerland. Jörgen Wallerman's co-authors include Johan E. S. Fransson, Jonas Bohlin, Håkan Olsson, Johan Holmgren, Tomas Lämås, Hjalmar Laudon, Kenneth Olofsson, Mats Nilsson, Matthias Peichl and Karin Öhman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Jörgen Wallerman

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörgen Wallerman Sweden 18 856 676 472 405 356 64 1.3k
Eric Bastos Görgens Brazil 20 719 0.8× 629 0.9× 396 0.8× 400 1.0× 223 0.6× 64 1.1k
António Ferraz United States 19 1.1k 1.3× 744 1.1× 350 0.7× 596 1.5× 353 1.0× 40 1.4k
Stephen E. Reutebuch United States 16 1.5k 1.8× 935 1.4× 491 1.0× 637 1.6× 562 1.6× 26 1.8k
Markus Holopainen Finland 20 1.4k 1.6× 877 1.3× 284 0.6× 631 1.6× 538 1.5× 47 1.6k
Wade T. Tinkham United States 20 443 0.5× 366 0.5× 808 1.7× 476 1.2× 157 0.4× 52 1.2k
Atticus Stovall United States 20 992 1.2× 1.0k 1.5× 841 1.8× 707 1.7× 310 0.9× 45 1.8k
Anssi Pekkarinen Italy 19 970 1.1× 569 0.8× 443 0.9× 806 2.0× 233 0.7× 33 1.4k
Murray Woods Canada 20 1.4k 1.6× 1.0k 1.5× 399 0.8× 579 1.4× 664 1.9× 42 1.6k
Cédric Vega France 20 1.1k 1.3× 671 1.0× 222 0.5× 734 1.8× 327 0.9× 38 1.4k
Sylvie Durrieu France 18 1.2k 1.4× 680 1.0× 383 0.8× 790 2.0× 367 1.0× 39 1.5k

Countries citing papers authored by Jörgen Wallerman

Since Specialization
Citations

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

Fields of papers citing papers by Jörgen Wallerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörgen Wallerman

This figure shows the co-authorship network connecting the top 25 collaborators of Jörgen Wallerman. A scholar is included among the top collaborators of Jörgen Wallerman 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 Jörgen Wallerman. Jörgen Wallerman 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.
Wallerman, Jörgen, et al.. (2024). Tree growth potential and its relationship with soil moisture conditions across a heterogeneous boreal forest landscape. Scientific Reports. 14(1). 10611–10611. 5 indexed citations
2.
García, Eduardo Martínez, Mats B. Nilsson, Hjalmar Laudon, et al.. (2024). Drought response of the boreal forest carbon sink is driven by understorey–tree composition. Nature Geoscience. 17(3). 197–204. 17 indexed citations
3.
Wallerman, Jörgen, et al.. (2024). Dynamic treatment units in forest planning improves economic performance over stand-based planning. European Journal of Forest Research. 144(1). 163–177.
4.
Wallerman, Jörgen, et al.. (2023). Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights. Remote Sensing. 15(17). 4195–4195. 1 indexed citations
5.
Persson, Henrik, et al.. (2023). Prediction of Hemi-Boreal Forest Biomass Change Using Alos-2 Palsar-2 L-Band SAR Backscatter. Chalmers Research (Chalmers University of Technology). 11. 3326–3329. 1 indexed citations
6.
Wallerman, Jörgen, et al.. (2023). Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape. Scientific Reports. 13(1). 14909–14909. 18 indexed citations
7.
Sertel, Elif, Cem Ünsalan, Jari Salo, et al.. (2023). Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches. Marmara University Open Access System. 2661–2664. 2 indexed citations
8.
Wallerman, Jörgen, et al.. (2021). Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden. Scandinavian Journal of Forest Research. 36(4). 306–314. 15 indexed citations
9.
Wallerman, Jörgen, et al.. (2021). Dynamic treatment units in forest planning using cell proximity. Canadian Journal of Forest Research. 51(7). 1065–1071. 12 indexed citations
10.
Breidenbach, Johannes, David Ellison, Hans Petersson, et al.. (2021). Harvested area did not increase abruptly – How advancements in satellite-based mapping led to erroneous conclusions. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Tor‐ngern, Pantana, Jinshu Chi, Eliza Maher Hasselquist, et al.. (2020). Partitioning growing season water balance within a forested boreal catchment using sap flux, eddy covariance, and a process-based model. Hydrology and earth system sciences. 24(6). 2999–3014. 30 indexed citations
12.
Chi, Jinshu, Mats B. Nilsson, Hjalmar Laudon, et al.. (2020). The Net Landscape Carbon Balance—Integrating terrestrial and aquatic carbon fluxes in a managed boreal forest landscape in Sweden. Global Change Biology. 26(4). 2353–2367. 36 indexed citations
13.
Persson, Henrik, et al.. (2020). Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter. Canadian Journal of Remote Sensing. 46(6). 661–680. 7 indexed citations
14.
Wallerman, Jörgen, Kenneth Nyström, Mats Nilsson, et al.. (2020). Nation-Wide Mapping of Tree Growth using Repeated Airborne Laser Scanning. 4822–4825. 1 indexed citations
15.
Tor‐ngern, Pantana, Jinshu Chi, Eliza Maher Hasselquist, et al.. (2019). Partitioning the forest water balance within a boreal catchment using sapflux, eddy covariance and process-based model. 4 indexed citations
16.
Chi, Jinshu, Mats B. Nilsson, Jörgen Wallerman, et al.. (2018). The greenhouse gas balance of a managed boreal landscape measured from a tall tower in northern Sweden. EGU General Assembly Conference Abstracts. 15839. 1 indexed citations
17.
Fransson, Johan E. S., Maurizio Santoro, Jörgen Wallerman, et al.. (2016). Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. Chalmers Research (Chalmers University of Technology). 5327–5330. 4 indexed citations
18.
Wallerman, Jörgen, Jonas Bohlin, & Johan E. S. Fransson. (2012). Forest height estimation using semi-individual tree detection in multi-spectral 3D aerial DMC data. 33. 6372–6375. 9 indexed citations
19.
Wallerman, Jörgen & Johan Holmgren. (2007). Estimating field-plot data of forest stands using airborne laser scanning and SPOT HRG data. Remote Sensing of Environment. 110(4). 501–508. 41 indexed citations
20.
Olofsson, Kenneth, Jörgen Wallerman, Johan Holmgren, & Håkan Olsson. (2006). Tree species discrimination using Z/I DMC imagery and template matching of single trees. Scandinavian Journal of Forest Research. 21(S7). 106–110. 30 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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