Sebastian Schnell

661 total citations
17 papers, 486 citations indexed

About

Sebastian Schnell is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Sebastian Schnell has authored 17 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nature and Landscape Conservation, 14 papers in Environmental Engineering and 9 papers in Global and Planetary Change. Recurrent topics in Sebastian Schnell's work include Forest ecology and management (15 papers), Remote Sensing and LiDAR Applications (14 papers) and Forest Management and Policy (7 papers). Sebastian Schnell is often cited by papers focused on Forest ecology and management (15 papers), Remote Sensing and LiDAR Applications (14 papers) and Forest Management and Policy (7 papers). Sebastian Schnell collaborates with scholars based in Sweden, Germany and Norway. Sebastian Schnell's co-authors include Göran Ståhl, Christoph Kleinn, Svetlana Saarela, Anton Grafström, Erik Næsset, Sören Holm, Timothy G. Grégoire, Ronald E. McRoberts, Steen Magnussen and Johannes Breidenbach and has published in prestigious journals such as Remote Sensing of Environment, Ecological Indicators and Canadian Journal of Forest Research.

In The Last Decade

Sebastian Schnell

17 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Schnell Sweden 10 363 292 231 195 88 17 486
M. N. dos-Santos Brazil 11 289 0.8× 275 0.9× 273 1.2× 372 1.9× 52 0.6× 14 589
Keiko Ioki Japan 11 289 0.8× 167 0.6× 203 0.9× 89 0.5× 75 0.9× 22 349
Patricio Corvalán Chile 6 401 1.1× 273 0.9× 358 1.5× 144 0.7× 62 0.7× 10 514
Sassan Saatchi United States 7 213 0.6× 153 0.5× 132 0.6× 123 0.6× 29 0.3× 15 321
Dennis M. Jacobs United States 5 326 0.9× 226 0.8× 275 1.2× 229 1.2× 49 0.6× 16 487
Doo-Ahn Kwak South Korea 12 455 1.3× 324 1.1× 278 1.2× 191 1.0× 138 1.6× 31 617
Guanglong Ou China 13 287 0.8× 216 0.7× 256 1.1× 212 1.1× 25 0.3× 56 485
Ekena Rangel Pinagé United States 9 178 0.5× 174 0.6× 166 0.7× 222 1.1× 55 0.6× 17 361
Katsuto Shimizu Japan 12 220 0.6× 87 0.3× 235 1.0× 225 1.2× 53 0.6× 26 424
Elia Vangi Italy 12 211 0.6× 114 0.4× 215 0.9× 212 1.1× 47 0.5× 32 434

Countries citing papers authored by Sebastian Schnell

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Schnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Schnell

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

All Works

17 of 17 papers shown
1.
Schnell, Sebastian, et al.. (2025). A Sentinel-2 machine learning dataset for tree species classification in Germany. Earth system science data. 17(2). 351–367. 6 indexed citations
2.
Magdon, Paul, et al.. (2022). Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study. Ecological Indicators. 145. 109627–109627. 5 indexed citations
3.
Magnussen, Steen, Ronald E. McRoberts, Johannes Breidenbach, et al.. (2020). Comparison of estimators of variance for forest inventories with systematic sampling - results from artificial populations. Forest Ecosystems. 7(1). 17 indexed citations
4.
Schnell, Sebastian, et al.. (2019). Rohstoffquelle Wald - Holzvorrat auf neuem Rekord. 74(14). 24–27. 1 indexed citations
5.
Fehrmann, Lutz, Collins B. Kukunda, Nils Nölke, et al.. (2019). A unified framework for land cover monitoring based on a discrete global sampling grid (GSG). Environmental Monitoring and Assessment. 191(2). 46–46. 4 indexed citations
6.
Milenković, Milutin, Sebastian Schnell, Johan Holmgren, et al.. (2017). Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR. Remote Sensing of Environment. 200. 74–88. 21 indexed citations
7.
Saarela, Svetlana, Hans‐Erik Andersen, Anton Grafström, et al.. (2017). A new prediction-based variance estimator for two-stage model-assisted surveys of forest resources. Remote Sensing of Environment. 192. 1–11. 6 indexed citations
8.
Grafström, Anton, Sebastian Schnell, Svetlana Saarela, Stephen P. Hubbell, & R C Condit. (2017). The continuous population approach to forest inventories and use of information in the design. Environmetrics. 28(8). 17 indexed citations
9.
Ståhl, Göran, Svetlana Saarela, Sebastian Schnell, et al.. (2016). Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation. Forest Ecosystems. 3(1). 128 indexed citations
10.
Saarela, Svetlana, Sören Holm, Anton Grafström, et al.. (2016). Hierarchical model-based inference for forest inventory utilizing three sources of information. Annals of Forest Science. 73(4). 895–910. 64 indexed citations
11.
Saarela, Svetlana, Sebastian Schnell, Anton Grafström, et al.. (2015). Effects of sample size and model form on the accuracy of model-based estimators of growing stock volume. Canadian Journal of Forest Research. 45(11). 1524–1534. 37 indexed citations
12.
Schnell, Sebastian, Christoph Kleinn, & Göran Ståhl. (2015). Monitoring trees outside forests: a review. Environmental Monitoring and Assessment. 187(9). 600–600. 70 indexed citations
13.
Schnell, Sebastian. (2015). Integrating trees outside forests into national forest inventories. Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences)). 5 indexed citations
14.
Saarela, Svetlana, Sebastian Schnell, Sakari Tuominen, et al.. (2015). Effects of positional errors in model-assisted and model-based estimation of growing stock volume. Remote Sensing of Environment. 172. 101–108. 27 indexed citations
15.
Schnell, Sebastian, et al.. (2014). The contribution of trees outside forests to national tree biomass and carbon stocks—a comparative study across three continents. Environmental Monitoring and Assessment. 187(1). 4197–4197. 52 indexed citations
16.
Schnell, Sebastian, Christoph Kleinn, & Juan Gabriél Álvarez‐González. (2012). Stand Density Management Diagrams for Three Exotic Tree Species in Smallholder Plantations in Vietnam. Small-scale Forestry. 11(4). 509–528. 5 indexed citations
17.
Kleinn, Christoph, Gerald Kändler, & Sebastian Schnell. (2011). Estimating forest edge length from forest inventory sample dataThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.. Canadian Journal of Forest Research. 41(1). 1–10. 21 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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