Sebastian Schmidtlein

5.5k total citations · 1 hit paper
94 papers, 4.0k citations indexed

About

Sebastian Schmidtlein is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Sebastian Schmidtlein has authored 94 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Ecology, 47 papers in Ecological Modeling and 39 papers in Nature and Landscape Conservation. Recurrent topics in Sebastian Schmidtlein's work include Species Distribution and Climate Change (47 papers), Remote Sensing in Agriculture (45 papers) and Ecology and Vegetation Dynamics Studies (32 papers). Sebastian Schmidtlein is often cited by papers focused on Species Distribution and Climate Change (47 papers), Remote Sensing in Agriculture (45 papers) and Ecology and Vegetation Dynamics Studies (32 papers). Sebastian Schmidtlein collaborates with scholars based in Germany, Italy and France. Sebastian Schmidtlein's co-authors include Hannes Feilhauer, Teja Kattenborn, Fabian Ewald Fassnacht, Duccio Rocchini, Felix Schiefer, Dennis Rödder, Stefan Lötters, Michael Veith, Kate S. He and Javier Lopatin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Sebastian Schmidtlein

89 papers receiving 3.9k 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.

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

2020 255 citations Felix Schiefer, Teja Kattenborn et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers

Sebastian Schmidtlein

ECOLO

EM

GPC

NLC

EE

C.A. Mücher Netherlands

Jon Olav Vik Norway

Hannes Feilhauer Germany

Martin Wegmann Germany

Anna M. Pidgeon United States

Gretchen G. Moisen United States

Jeffrey T. Morisette United States

Fabian Ewald Fassnacht Germany

T.A. Groen Netherlands

Koen Hufkens United States

C.A. Mücher Netherlands

Sebastian Schmidtlein

1.8k ×0.7

ECOLO

844 ×0.5

EM

1.7k ×1.2

GPC

573 ×0.5

NLC

548 ×0.6

EE

Citations per year, relative to Sebastian Schmidtlein Sebastian Schmidtlein (= 1×) peers C.A. Mücher

Countries citing papers authored by Sebastian Schmidtlein

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Schmidtlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Schmidtlein

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Schmidtlein, Sebastian, et al.. (2025). Field spectroscopy and machine learning successfully predict grassland forage quality and quantity across climate zones. Ecological Informatics. 92. 103426–103426. 1 indexed citations

2.

Schiefer, Felix, Sebastian Schmidtlein, Henrik Hartmann, Florian Schnabel, & Teja Kattenborn. (2024). Large-scale remote sensing reveals that tree mortality in Germany appears to be greater than previously expected. Forestry An International Journal of Forest Research. 98(4). 535–549. 2 indexed citations

3.

Fehrmann, Lutz, et al.. (2024). Discriminating woody species assemblages from National Forest Inventory data based on phylogeny in Georgia. Ecology and Evolution. 14(7). e11569–e11569.

4.

Schiefer, Felix, Sebastian Schmidtlein, Annett Frick, et al.. (2023). UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series. SHILAP Revista de lepidopterología. 8. 100034–100034. 33 indexed citations

5.

Schmidtlein, Sebastian, et al.. (2021). Deep learning and citizen science enable automated plant trait predictions from photographs. Scientific Reports. 11(1). 16395–16395. 32 indexed citations

6.

Schiefer, Felix, Teja Kattenborn, Annett Frick, et al.. (2020). Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing. 170. 205–215. 255 indexed citations breakdown →

7.

Fassnacht, Fabian Ewald, et al.. (2020). A new concept for estimating the influence of vegetation on throughfall kinetic energy using aerial laser scanning. Earth Surface Processes and Landforms. 45(7). 1487–1498. 9 indexed citations

8.

Kattenborn, Teja, Jana Eichel, Susan K. Wiser, et al.. (2020). Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery. Remote Sensing in Ecology and Conservation. 6(4). 472–486. 110 indexed citations

9.

Maier, Matthias, et al.. (2020). Integrated nature conservation valuation (INCV): A new biotic area-assessment method based on habitats and species occurrences and derivation of hydroecologic vulnerability. Sustainable Water Resources Management. 6(5). 2 indexed citations

10.

Kattenborn, Teja & Sebastian Schmidtlein. (2019). Radiative transfer modelling reveals why canopy reflectance follows function. Scientific Reports. 9(1). 6541–6541. 26 indexed citations

11.

Ewald, Michael, Raf Aerts, Jonathan Lenoir, et al.. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote Sensing of Environment. 211. 13–25. 22 indexed citations

12.

Ewald, Michael, Sandra Skowronek, Raf Aerts, et al.. (2018). Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales. Biological Invasions. 20(8). 2257–2271. 11 indexed citations

13.

Hattab, Tarek, Carol X. Garzón‐López, Michael Ewald, et al.. (2017). A unified framework to model the potential and realized distributions of invasive species within the invaded range. Diversity and Distributions. 23(7). 806–819. 56 indexed citations

14.

Skowronek, Sandra, Michael Ewald, Maike Isermann, et al.. (2016). Mapping an invasive bryophyte species using hyperspectral remote sensing data. Biological Invasions. 19(1). 239–254. 60 indexed citations

15.

Reu, Björn, Sönke Zaehle, Raphaël Proulx, et al.. (2011). The role of plant functional trade-offs for biodiversity changes and biome shifts under scenarios of global climatic change. Biogeosciences. 8(5). 1255–1266. 26 indexed citations

16.

Reu, Björn, Raphaël Proulx, James Dyke, et al.. (2010). The role of climate and plant functional trade-offs in shaping global biome and biodiversity patterns. Global Ecology and Biogeography. 20(4). 570–581. 52 indexed citations

17.

Schmidtlein, Sebastian, et al.. (2010). A brute‐force approach to vegetation classification. Journal of Vegetation Science. 21(6). 1162–1171. 72 indexed citations

18.

Lötters, Stefan, Jos Kielgast, Jon Bielby, et al.. (2009). The Link Between Rapid Enigmatic Amphibian Decline and the Globally Emerging Chytrid Fungus. EcoHealth. 6(3). 358–372. 52 indexed citations

19.

Schmidtlein, Sebastian, et al.. (2007). Mapping the floristic continuum: Ordination space position estimated from imaging spectroscopy. Journal of Vegetation Science. 18(1). 131–140. 92 indexed citations

20.

Schmidtlein, Sebastian, et al.. (2007). Mapping the floristic continuum: Ordination space position estimated from imaging spectroscopy. Journal of Vegetation Science. 18(1). 131–131. 6 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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