Franz Schug

1.7k total citations · 1 hit paper
24 papers, 978 citations indexed

About

Franz Schug is a scholar working on Global and Planetary Change, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Franz Schug has authored 24 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 7 papers in Ecology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Franz Schug's work include Land Use and Ecosystem Services (19 papers), Impact of Light on Environment and Health (8 papers) and Remote Sensing in Agriculture (6 papers). Franz Schug is often cited by papers focused on Land Use and Ecosystem Services (19 papers), Impact of Light on Environment and Health (8 papers) and Remote Sensing in Agriculture (6 papers). Franz Schug collaborates with scholars based in Germany, United States and Austria. Franz Schug's co-authors include Sebastian van der Linden, Patrick Hostert, David Frantz, Akpona Okujeni, Dagmar Haase, Thilo Wellmann, Claudio Navacchi, Wolfgang Wagner, Dirk Pflugmacher and Volker C. Radeloff and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Franz Schug

23 papers receiving 963 citations

Hit Papers

The global wildland–urban interface 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franz Schug Germany 13 602 344 199 171 131 24 978
Cidália C. Fonte Portugal 16 443 0.7× 349 1.0× 223 1.1× 126 0.7× 198 1.5× 53 964
Julian Zeidler Germany 15 632 1.0× 440 1.3× 348 1.7× 98 0.6× 218 1.7× 39 1.2k
Junmei Tang United States 18 535 0.9× 280 0.8× 306 1.5× 122 0.7× 216 1.6× 43 974
Jiejun Huang China 17 619 1.0× 393 1.1× 130 0.7× 194 1.1× 210 1.6× 70 1.2k
Hanfa Xing China 16 471 0.8× 226 0.7× 89 0.4× 200 1.2× 143 1.1× 35 879
Yuean Qiu China 10 575 1.0× 287 0.8× 286 1.4× 224 1.3× 205 1.6× 14 1.0k
Jorge E. Patiño Colombia 13 499 0.8× 133 0.4× 100 0.5× 156 0.9× 130 1.0× 27 828
Hasi Bagan Japan 16 633 1.1× 280 0.8× 292 1.5× 152 0.9× 274 2.1× 51 1.0k
Yanhua Xie United States 20 936 1.6× 483 1.4× 419 2.1× 162 0.9× 270 2.1× 43 1.4k
Andreas Felbier Germany 11 692 1.1× 276 0.8× 197 1.0× 84 0.5× 305 2.3× 22 1.1k

Countries citing papers authored by Franz Schug

Since Specialization
Citations

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

Fields of papers citing papers by Franz Schug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Schug

This figure shows the co-authorship network connecting the top 25 collaborators of Franz Schug. A scholar is included among the top collaborators of Franz Schug 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 Franz Schug. Franz Schug 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.
Kaim, Dominik, Carlos Bautista, Michael Leitner, et al.. (2025). Impact of the wildland–urban interface on large carnivore damage in the Polish Carpathians. AMBIO.
2.
Simkin, Rohan, Barbara A. Han, Volker C. Radeloff, et al.. (2025). Zoonotic Host Richness in the Global Wildland–Urban Interface. Global Change Biology. 31(2). e70039–e70039. 1 indexed citations
3.
Haberl, Helmut, André Baumgart, Julian Zeidler, et al.. (2024). Weighing the global built environment: High‐resolution mapping and quantification of material stocks in buildings. Journal of Industrial Ecology. 29(1). 159–172. 7 indexed citations
4.
Schug, Franz, et al.. (2024). Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics. Remote Sensing of Environment. 311. 114260–114260. 8 indexed citations
5.
Wiedenhofer, Dominik, Franz Schug, Maud Lanau, et al.. (2024). Mapping material stocks of buildings and mobility infrastructure in the United Kingdom and the Republic of Ireland. Resources Conservation and Recycling. 206. 107630–107630. 7 indexed citations
6.
Schug, Franz, Avi Bar‐Massada, Amanda R. Carlson, et al.. (2023). The global wildland–urban interface. Nature. 621(7977). 94–99. 88 indexed citations breakdown →
7.
Radeloff, Volker C., Miranda H. Mockrin, David P. Helmers, et al.. (2023). Rising wildfire risk to houses in the United States, especially in grasslands and shrublands. Science. 382(6671). 702–707. 53 indexed citations
8.
Wiedenhofer, Dominik, Franz Schug, Maud Lanau, et al.. (2023). Mapping material stocks of buildings and mobility infrastructure in the United Kingdom and the Republic of Ireland. SSRN Electronic Journal. 1 indexed citations
9.
Schug, Franz, Dominik Wiedenhofer, Helmut Haberl, et al.. (2023). High-resolution data and maps of material stock, population, and employment in Austria from 1985 to 2018. Data in Brief. 47. 108997–108997. 8 indexed citations
10.
Bar‐Massada, Avi, Fermín Alcasena, Franz Schug, & Volker C. Radeloff. (2023). The wildland – urban interface in Europe: Spatial patterns and associations with socioeconomic and demographic variables. Landscape and Urban Planning. 235. 104759–104759. 30 indexed citations
11.
Frantz, David, Franz Schug, Dominik Wiedenhofer, et al.. (2023). Unveiling patterns in human dominated landscapes through mapping the mass of US built structures. Nature Communications. 14(1). 8014–8014. 24 indexed citations
12.
Schug, Franz, David Frantz, Dominik Wiedenhofer, et al.. (2022). High‐resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation data. Journal of Industrial Ecology. 27(1). 110–124. 14 indexed citations
13.
Schug, Franz, David Frantz, Akpona Okujeni, & Patrick Hostert. (2022). Sub-pixel building area mapping based on synthetic training data and regression-based unmixing using Sentinel-1 and -2 data. Remote Sensing Letters. 13(8). 822–832. 3 indexed citations
14.
Schug, Franz, David Frantz, Sebastian van der Linden, & Patrick Hostert. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLoS ONE. 16(3). e0249044–e0249044. 51 indexed citations
15.
Haberl, Helmut, Dominik Wiedenhofer, Franz Schug, et al.. (2021). High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany. Environmental Science & Technology. 55(5). 3368–3379. 89 indexed citations
16.
Frantz, David, Franz Schug, Akpona Okujeni, et al.. (2020). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment. 252. 112128–112128. 168 indexed citations
17.
Schug, Franz, David Frantz, Akpona Okujeni, Sebastian van der Linden, & Patrick Hostert. (2020). Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data. Remote Sensing of Environment. 246. 111810–111810. 66 indexed citations
18.
Wellmann, Thilo, Franz Schug, Dagmar Haase, Dirk Pflugmacher, & Sebastian van der Linden. (2020). Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series. Landscape and Urban Planning. 202. 103857–103857. 91 indexed citations
19.
Schug, Franz, David Frantz, Sebastian van der Linden, & Patrick Hostert. (2020). Large area gridded population mapping based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
20.
Schug, Franz, et al.. (2018). Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series. Remote Sensing of Environment. 210. 217–228. 65 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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