Katja Berger

3.1k total citations · 1 hit paper
54 papers, 2.0k citations indexed

About

Katja Berger is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Katja Berger has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Ecology, 23 papers in Environmental Engineering and 21 papers in Global and Planetary Change. Recurrent topics in Katja Berger's work include Remote Sensing in Agriculture (48 papers), Leaf Properties and Growth Measurement (15 papers) and Remote Sensing and LiDAR Applications (13 papers). Katja Berger is often cited by papers focused on Remote Sensing in Agriculture (48 papers), Leaf Properties and Growth Measurement (15 papers) and Remote Sensing and LiDAR Applications (13 papers). Katja Berger collaborates with scholars based in Germany, Spain and Italy. Katja Berger's co-authors include Tobias Hank, Wolfram Mauser, Matthias Wocher, Jochem Verrelst, Martin Danner, Juan Pablo Rivera, Jean‐Baptiste Féret, Clement Atzberger, Guido D’Urso and Francesco Vuolo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Katja Berger

52 papers receiving 2.0k 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.

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

2020 290 citations Katja Berger, Jochem Verrelst et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katja Berger Germany	24	1.6k	841	796	569	420	54	2.0k
Tobias Hank Germany	25	1.6k 1.0×	1.0k 1.2×	762 1.0×	727 1.3×	377 0.9×	57	2.4k
Cinzia Panigada Italy	28	1.9k 1.2×	1.2k 1.4×	730 0.9×	1.1k 1.9×	330 0.8×	68	2.7k
Martin L. Gnyp Germany	20	2.1k 1.3×	1.2k 1.4×	1.4k 1.7×	529 0.9×	326 0.8×	33	2.6k
Matthew Maimaitiyiming United States	17	973 0.6×	790 0.9×	891 1.1×	587 1.0×	294 0.7×	26	1.9k
Abel Ramoelo South Africa	26	2.0k 1.3×	592 0.7×	923 1.2×	1.0k 1.8×	283 0.7×	118	2.7k
Sean Hartling United States	10	1.2k 0.8×	876 1.0×	787 1.0×	317 0.6×	211 0.5×	11	1.8k
Paolo Villa Italy	20	861 0.5×	651 0.8×	361 0.5×	542 1.0×	230 0.5×	53	2.0k
Hengbiao Zheng China	30	2.0k 1.3×	1.4k 1.7×	924 1.2×	510 0.9×	475 1.1×	66	2.5k
Xingang Xu China	28	1.7k 1.1×	1.3k 1.6×	731 0.9×	680 1.2×	435 1.0×	83	2.5k
Eddy De Pauw Syria	15	1.0k 0.6×	724 0.9×	460 0.6×	394 0.7×	252 0.6×	33	1.7k

Countries citing papers authored by Katja Berger

Since Specialization

Citations

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

Fields of papers citing papers by Katja Berger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Berger. A scholar is included among the top collaborators of Katja Berger 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 Katja Berger. Katja Berger 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

Orsini, Francesco, Giuseppina Pennisi, Stefano Bona, et al.. (2025). Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato. Smart Agricultural Technology. 10. 100802–100802. 3 indexed citations

Prikaziuk, Egor, Gerbrand Koren, Zhanzhang Cai, et al.. (2025). Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring. Computers and Electronics in Agriculture. 233. 110136–110136. 3 indexed citations

Berger, Katja, Saskia Foerster, Zoltan Szantoi, et al.. (2025). Evolving Earth observation capabilities for recent land-related EU policies. Land Use Policy. 158. 107749–107749.

Berger, Katja, Martin Herold, & Zoltan Szantoi. (2025). Earth observation as enabler for implementing the EU regulation on deforestation-free products. npj Climate Action. 4(1). 2 indexed citations

Li, Dong, Yapeng Wu, Katja Berger, et al.. (2024). Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model. International Journal of Applied Earth Observation and Geoinformation. 135. 104280–104280. 5 indexed citations

Berger, Katja, et al.. (2024). Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data. Remote Sensing of Environment. 310. 114228–114228. 16 indexed citations

Berger, Katja, et al.. (2024). Optimizing hybrid models for canopy nitrogen mapping from Sentinel-2 in Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 530–545. 3 indexed citations

Reyes-Muñoz, Pablo, et al.. (2024). Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression. Ecological Informatics. 83. 102816–102816. 3 indexed citations

Feilhauer, Hannes, Katja Berger, Tobias Hank, et al.. (2024). Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model. SHILAP Revista de lepidopterología. 15. 100080–100080. 3 indexed citations

10.

Berger, Katja, et al.. (2024). Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery. Remote Sensing. 16(7). 1211–1211. 10 indexed citations

11.

Feilhauer, Hannes, Katja Berger, Phuong D. Dao, et al.. (2023). From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data. Remote Sensing of Environment. 292. 113580–113580. 33 indexed citations

12.

Amin, Eatidal, et al.. (2023). Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method. Remote Sensing. 15(20). 4956–4956. 9 indexed citations

13.

Reyes-Muñoz, Pablo, et al.. (2023). Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine. Remote Sensing. 15(13). 3404–3404. 16 indexed citations

14.

Reyes-Muñoz, Pablo, et al.. (2023). Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes. Remote Sensing. 15(7). 1822–1822. 11 indexed citations

15.

Berger, Katja, Luca Pipia, Juan Pablo Rivera, et al.. (2022). Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data. Remote Sensing of Environment. 273. 112958–112958. 73 indexed citations

16.

Berger, Katja, et al.. (2021). Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow. Remote Sensing. 13(8). 1589–1589. 46 indexed citations

17.

Berger, Katja, Jochem Verrelst, Jean‐Baptiste Féret, et al.. (2020). Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions. Remote Sensing of Environment. 242. 111758–111758. 290 indexed citations breakdown →

18.

Berger, Katja, Jochem Verrelst, Jean‐Baptiste Féret, et al.. (2020). Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. International Journal of Applied Earth Observation and Geoinformation. 92. 102174–102174. 145 indexed citations

19.

Verrelst, Jochem, Katja Berger, & Juan Pablo Rivera. (2020). Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms. IEEE Geoscience and Remote Sensing Letters. 18(12). 2038–2042. 65 indexed citations

20.

Thorand, Barbara, Cornelia Huth, Katja Berger, et al.. (2018). The Association between Serum 25-Hydroxyvitamin D and Cancer Risk: Results from the Prospective KORA F4 Study. Oncology Research and Treatment. 41(3). 117–121. 15 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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