Sarah Asam

1.2k total citations
41 papers, 835 citations indexed

About

Sarah Asam is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Sarah Asam has authored 41 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, 21 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Sarah Asam's work include Remote Sensing in Agriculture (29 papers), Remote Sensing and LiDAR Applications (9 papers) and Species Distribution and Climate Change (9 papers). Sarah Asam is often cited by papers focused on Remote Sensing in Agriculture (29 papers), Remote Sensing and LiDAR Applications (9 papers) and Species Distribution and Climate Change (9 papers). Sarah Asam collaborates with scholars based in Germany, Italy and Austria. Sarah Asam's co-authors include Claudia Kuenzer, Sophie Reinermann, Ursula Geßner, Stefan Dech, Marc Zebisch, Claudia Notarnicola, Annette Menzel, Stefanie Holzwarth, Doris Klein and Gourav Misra and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Sarah Asam

35 papers receiving 807 citations

Peers

Sarah Asam

ECOLO

GPC

Alexander Krylov United States

Amy Hudson United States

Luc Bertels Belgium

Tobias Landmann Kenya

Edward Dwyer Ireland

Rajen Bajgain United States

Yunxiang Jin China

Paul Magdon Germany

Tian Gao China

P. Nelson United States

Alexander Krylov United States

Sarah Asam

605 ×1.1

ECOLO

569 ×1.4

GPC

336 ×1.2

173 ×1.1

62 ×0.4

Citations per year, relative to Sarah Asam Sarah Asam (= 1×) peers Alexander Krylov

Countries citing papers authored by Sarah Asam

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Asam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Asam

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

All Works

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20 of 20 papers shown

Thonfeld, Frank, et al.. (2026). Forest canopy cover loss dynamics in Germany between 2017 and 2024: Revealing regional differences. International Journal of Applied Earth Observation and Geoinformation. 146. 105157–105157.

Asam, Sarah, Stefan Dech, Ursula Geßner, et al.. (2025). Landscape structure, climate variability, and soil quality shape crop biomass patterns in agricultural ecosystems of Bavaria. Frontiers in Plant Science. 16. 1630087–1630087.

Reinermann, Sophie, Andrea Kaim, Anne Schucknecht, et al.. (2025). Grassland yield estimations – potentials and limitations of remote sensing in comparison to process-based modeling and field measurements. Biogeosciences. 22(18). 4969–4992. 2 indexed citations

Muro, Javier, Lukas Blickensdörfer, Axel Don, et al.. (2025). Hedgerow mapping with high resolution satellite imagery to support policy initiatives at national level. Remote Sensing of Environment. 328. 114870–114870. 1 indexed citations

Asam, Sarah, et al.. (2025). Hedgerow map of Bavaria, Germany, based on orthophotos and convolutional neural networks. Remote Sensing Applications Society and Environment. 37. 101451–101451. 3 indexed citations

Eisfelder, Christina, Sarah Asam, Andreas Hirner, et al.. (2025). Thirty-Year Analyses of Seasonal NDVI and Climatic Drivers Across Different Land Cover Types and Biogeographical Regions in Europe. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 11225–11249.

Geßner, Ursula, et al.. (2025). Combining Machine Learning and Spatiotemporal Filtering to Map Crop Types of Germany for Seven Years. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.

Geßner, Ursula, Sophie Reinermann, Sarah Asam, & Claudia Kuenzer. (2023). Vegetation Stress Monitor—Assessment of Drought and Temperature-Related Effects on Vegetation in Germany Analyzing MODIS Time Series over 23 Years. Remote Sensing. 15(22). 5428–5428. 5 indexed citations

Reinermann, Sophie, Sarah Asam, Ursula Geßner, Tobias Ullmann, & Claudia Kuenzer. (2023). Multi-annual grassland mowing dynamics in Germany: spatio-temporal patterns and the influence of climate, topographic and socio-political conditions. Frontiers in Environmental Science. 11. 4 indexed citations

10.

Holzwarth, Stefanie, Frank Thonfeld, Sahra Abdullahi, et al.. (2023). Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review. Remote Sensing. 15(17). 4234–4234. 15 indexed citations

11.

Eisfelder, Christina, Sarah Asam, Andreas Hirner, et al.. (2023). Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product. Remote Sensing. 15(14). 3616–3616. 34 indexed citations

12.

Asam, Sarah, et al.. (2023). AVHRR NDVI Compositing Method Comparison and Generation of Multi-Decadal Time Series—A TIMELINE Thematic Processor. Remote Sensing. 15(6). 1631–1631. 13 indexed citations

13.

Schucknecht, Anne, et al.. (2022). Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets. Biogeosciences. 19(10). 2699–2727. 17 indexed citations

14.

Xie, Jing, Fabia Hüsler, Rogier de Jong, et al.. (2021). Spring Temperature and Snow Cover Climatology Drive the Advanced Springtime Phenology (1991–2014) in the European Alps. Journal of Geophysical Research Biogeosciences. 126(3). 24 indexed citations

15.

Schucknecht, Anne, et al.. (2021). Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets. Repository KITopen (Karlsruhe Institute of Technology). 3 indexed citations

16.

Xie, Jing, Tobias Jonas, Christian Rixen, et al.. (2020). Land surface phenology and greenness in Alpine grasslands driven by seasonal snow and meteorological factors. The Science of The Total Environment. 725. 138380–138380. 32 indexed citations

17.

Holzwarth, Stefanie, Frank Thonfeld, Sahra Abdullahi, et al.. (2020). Earth Observation Based Monitoring of Forests in Germany: A Review. Remote Sensing. 12(21). 3570–3570. 65 indexed citations

18.

Schucknecht, Anne, Sarah Asam, Noelia García-Franco, et al.. (2020). Vegetation traits of pre-Alpine grasslands in southern Germany. Scientific Data. 7(1). 316–316. 10 indexed citations

19.

Asam, Sarah, Mattia Callegari, Michael Matiu, et al.. (2018). Relationship between Spatiotemporal Variations of Climate, Snow Cover and Plant Phenology over the Alps—An Earth Observation-Based Analysis. Remote Sensing. 10(11). 1757–1757. 44 indexed citations

20.

Pasolli, Luca, Sarah Asam, Mariapina Castelli, et al.. (2015). Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery. Remote Sensing of Environment. 165. 159–174. 55 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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