Christina Eisfelder

672 total citations
21 papers, 477 citations indexed

About

Christina Eisfelder is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Christina Eisfelder has authored 21 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 14 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Christina Eisfelder's work include Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (6 papers) and Land Use and Ecosystem Services (6 papers). Christina Eisfelder is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (6 papers) and Land Use and Ecosystem Services (6 papers). Christina Eisfelder collaborates with scholars based in Germany, Denmark and Kazakhstan. Christina Eisfelder's co-authors include Claudia Kuenzer, Stefan Dech, Igor Klein, Manfred Buchroithner, Juliane Huth, Florian Schierhorn, Alexander V. Prishchepov, Ursula Geßner, Daniel Müller and Stefanie Holzwarth and has published in prestigious journals such as PLoS ONE, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Christina Eisfelder

20 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Eisfelder Germany 11 302 249 155 87 79 21 477
Sarnam Singh India 12 284 0.9× 252 1.0× 137 0.9× 133 1.5× 50 0.6× 45 491
Jean-Bosco Benewinde Zoungrana Burkina Faso 11 292 1.0× 297 1.2× 170 1.1× 88 1.0× 51 0.6× 19 562
Matthew C. Reeves United States 16 474 1.6× 454 1.8× 91 0.6× 164 1.9× 104 1.3× 32 700
Laura M. Burkett United States 8 270 0.9× 209 0.8× 71 0.5× 148 1.7× 66 0.8× 13 438
Marcelle Grenier Canada 10 258 0.9× 190 0.8× 91 0.6× 78 0.9× 32 0.4× 12 419
Loretta J. Metz United States 10 293 1.0× 236 0.9× 63 0.4× 117 1.3× 65 0.8× 19 451
A. Romo Spain 9 294 1.0× 328 1.3× 74 0.5× 89 1.0× 29 0.4× 24 549
Sophie Reinermann Germany 5 207 0.7× 136 0.5× 84 0.5× 35 0.4× 48 0.6× 9 307
S. V. Stehman United States 7 249 0.8× 255 1.0× 106 0.7× 96 1.1× 15 0.2× 12 426
Sergio Noce Italy 10 119 0.4× 203 0.8× 47 0.3× 104 1.2× 68 0.9× 14 421

Countries citing papers authored by Christina Eisfelder

Since Specialization
Citations

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

Fields of papers citing papers by Christina Eisfelder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Eisfelder

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Eisfelder. A scholar is included among the top collaborators of Christina Eisfelder 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 Christina Eisfelder. Christina Eisfelder 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.
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.
2.
3.
Klein, Igor, et al.. (2024). Multivariate analysis of land surface dynamics in Central Asia: patterns of trends and drivers under a changing climate. GIScience & Remote Sensing. 61(1). 2 indexed citations
4.
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
5.
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
6.
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
7.
Klein, Igor, et al.. (2023). Application of geospatial and remote sensing data to support locust management. International Journal of Applied Earth Observation and Geoinformation. 117. 103212–103212. 6 indexed citations
8.
Schierhorn, Florian, et al.. (2019). Modeling the spatial distribution of grazing intensity in Kazakhstan. PLoS ONE. 14(1). e0210051–e0210051. 35 indexed citations
9.
Eisfelder, Christina, Hyun Ok Kim, & Claudia Künzer. (2018). Multi-layer Land Cover Data for Remote-Sensing based Vegetation Modelling for South Korea. elib (German Aerospace Center). 1 indexed citations
10.
Ottinger, Marco, Kersten Clauss, Juliane Huth, et al.. (2018). Time series sentinel-1 SAR data for the mapping of aquaculture ponds in coastal Asia. elib (German Aerospace Center). 9371–9374. 10 indexed citations
11.
Eisfelder, Christina, et al.. (2016). Above-ground biomass estimation based on NPP time-series − A novel approach for biomass estimation in semi-arid Kazakhstan. Ecological Indicators. 72. 13–22. 34 indexed citations
12.
Eisfelder, Christina, et al.. (2014). Spatio-temporal patterns and dynamics of net primary productivity for Kazakhstan. IOP Conference Series Earth and Environmental Science. 17. 12028–12028. 3 indexed citations
13.
Eisfelder, Christina, et al.. (2014). Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables. Journal of Arid Environments. 103. 17–30. 72 indexed citations
14.
Tum, Markus, et al.. (2013). Quantifying the carbon uptake by vegetation for Europe on a 1 km 2 resolution using a remote sensing driven vegetation model. Geoscientific model development. 6(5). 1623–1640. 22 indexed citations
15.
Eisfelder, Christina. (2012). Modelling Net Primary Productivity and Above-Ground Biomass for Mapping of Spatial Biomass Distribution in Kazakhstan. elib (German Aerospace Center). 1 indexed citations
16.
Eisfelder, Christina, et al.. (2012). A remote sensing model based land degradation index for the arid and semi-arid regions of southern Africa. elib (German Aerospace Center). 3 indexed citations
17.
Eisfelder, Christina, Claudia Kuenzer, & Stefan Dech. (2011). Derivation of biomass information for semi-arid areas using remote-sensing data. International Journal of Remote Sensing. 33(9). 2937–2984. 183 indexed citations
18.
Eisfelder, Christina, Claudia Kuenzer, & Stefan Dech. (2010). A review on derivation of biomass information in semi-arid regions based on remote sensing data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7831. 78310L–78310L. 7 indexed citations
19.
Eisfelder, Christina, T. Kraus, M. Bock, et al.. (2009). Towards automated forest-type mapping – a service within GSE Forest Monitoring based on SPOT-5 and IKONOS data. International Journal of Remote Sensing. 30(19). 5015–5038. 12 indexed citations
20.
Eisfelder, Christina. (2008). Entwicklung einer automatisierten objektbasierten Kartierung von Waldflächen mit IKONOS-Daten. elib (German Aerospace Center). 1 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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2026