Georg Bareth

7.2k total citations · 3 hit papers
131 papers, 5.8k citations indexed

About

Georg Bareth is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Georg Bareth has authored 131 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Ecology, 70 papers in Environmental Engineering and 33 papers in Global and Planetary Change. Recurrent topics in Georg Bareth's work include Remote Sensing in Agriculture (76 papers), Remote Sensing and LiDAR Applications (60 papers) and Land Use and Ecosystem Services (23 papers). Georg Bareth is often cited by papers focused on Remote Sensing in Agriculture (76 papers), Remote Sensing and LiDAR Applications (60 papers) and Land Use and Ecosystem Services (23 papers). Georg Bareth collaborates with scholars based in Germany, China and United States. Georg Bareth's co-authors include Andreas Bolten, Martin L. Gnyp, Juliane Bendig, Helge Aasen, Yuxin Miao, Kang Yu, Xinping Chen, Andreas Burkart, Victoria Lenz-Wiedemann and Dirk Hoffmeister and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Forest Ecology and Management.

In The Last Decade

Georg Bareth

127 papers receiving 5.7k citations

Hit Papers

Combining UAV-based plant height from crop surface models... 2014 2026 2018 2022 2015 2014 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Bareth Germany 35 4.3k 3.0k 2.2k 1.2k 579 131 5.8k
Francisca López Granados Spain 40 3.3k 0.8× 2.4k 0.8× 3.1k 1.4× 835 0.7× 494 0.9× 120 5.7k
José A. Jiménez-Berni Spain 29 3.2k 0.7× 1.9k 0.6× 2.8k 1.3× 1.5k 1.3× 373 0.6× 49 5.2k
Harm Bartholomeus Netherlands 42 2.3k 0.5× 3.7k 1.2× 950 0.4× 1.0k 0.9× 384 0.7× 122 5.8k
Zheng Niu China 44 4.3k 1.0× 2.7k 0.9× 1.6k 0.7× 2.8k 2.5× 549 0.9× 287 7.6k
Zbyněk Malenovský Australia 30 3.3k 0.8× 2.0k 0.7× 1.2k 0.6× 1.9k 1.6× 283 0.5× 89 4.7k
Helge Aasen Switzerland 26 2.5k 0.6× 1.7k 0.6× 1.4k 0.6× 710 0.6× 356 0.6× 53 3.6k
Andreas Bolten Germany 21 2.2k 0.5× 1.8k 0.6× 1.1k 0.5× 559 0.5× 192 0.3× 39 3.0k
Eija Honkavaara Finland 40 3.1k 0.7× 3.7k 1.2× 843 0.4× 994 0.9× 238 0.4× 183 6.2k
Haikuan Feng China 45 5.2k 1.2× 2.6k 0.9× 3.5k 1.6× 1.5k 1.3× 1.3k 2.2× 193 6.9k
Jan U.H. Eitel United States 35 2.8k 0.7× 2.1k 0.7× 1.2k 0.5× 1.4k 1.2× 274 0.5× 96 4.1k

Countries citing papers authored by Georg Bareth

Since Specialization
Citations

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

Fields of papers citing papers by Georg Bareth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Bareth

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Bareth. A scholar is included among the top collaborators of Georg Bareth 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 Georg Bareth. Georg Bareth 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.
Anderson, David M., et al.. (2025). Deep learning-based extraction of Kenya’s historical road network from topographic maps. Scientific Data. 12(1). 1149–1149.
2.
Biber‐Freudenberger, Lisa, Christina Bogner, Georg Bareth, et al.. (2025). Impacts of road development in sub-Saharan Africa: A call for holistic perspectives in research and policy. iScience. 28(2). 111913–111913. 1 indexed citations
3.
4.
Hoffmeister, Dirk, Constanze Curdt, & Georg Bareth. (2020). Monitoring the sedimentary budget and dislocated boulders in western Greece – results since 2008. Sedimentology. 67(3). 1411–1430. 10 indexed citations
5.
Huang, Shanyu, Yuxin Miao, Fei Yuan, et al.. (2019). In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages. Remote Sensing. 11(16). 1847–1847. 33 indexed citations
6.
López‐Sánchez, Aida, Georg Bareth, Andreas Bolten, & Anja Linstädter. (2017). Effects of declining oak vitality on ecosystem functions: Lessons from a Spanish oak woodland. EGUGA. 17578. 1 indexed citations
7.
Huang, Shanyu, Yuxin Miao, Fei Yuan, et al.. (2017). Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages. Remote Sensing. 9(3). 227–227. 76 indexed citations
8.
Hütt, Christoph, et al.. (2016). POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING. SHILAP Revista de lepidopterología. XLI-B7. 803–808. 3 indexed citations
9.
Tilly, Nora, Dirk Hoffmeister, Qiang Cao, et al.. (2015). Transferability of Models for Estimating Paddy Rice Biomass from Spatial Plant Height Data. Agriculture. 5(3). 538–560. 33 indexed citations
10.
Huang, Shanyu, Yuxin Miao, Guangming Zhao, et al.. (2015). Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China. Remote Sensing. 7(8). 10646–10667. 110 indexed citations
11.
Yu, Kang, et al.. (2015). Abschätzung von Blatt-Chlorophyllgehalten von Reis mit Hilfe von Spektralindizes und Partial Least Squares Analysen. Photogrammetrie - Fernerkundung - Geoinformation. 2015(1). 45–54. 19 indexed citations
12.
Bareth, Georg, Helge Aasen, Juliane Bendig, et al.. (2014). Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements. Repository for Publications and Research Data (ETH Zurich). 94. 1–6. 2 indexed citations
13.
Bareth, Georg, et al.. (2014). Evaluating the potential of consumer-grade smart cameras for low-cost stereo-photogrammetric Crop-Surface Monitoring. SHILAP Revista de lepidopterología. XL-7. 43–49. 4 indexed citations
14.
Hoffmeister, Dirk, Nora Tilly, Juliane Bendig, Constanze Curdt, & Georg Bareth. (2012). Detektion von Wachstumsvariabilität in vier Zuckerrübensorten durch multi-temporales terrestrisches Laserscanning.. 135–138. 3 indexed citations
15.
Hoffmeister, Dirk, et al.. (2012). FACILITATING INTEGRATED SPATIO-TEMPORAL VISUALIZATION AND ANALYSIS OF HETEROGENEOUS ARCHAEOLOGICAL AND PALAEOENVIRONMENTAL RESEARCH DATA. SHILAP Revista de lepidopterología. I-2. 223–228. 6 indexed citations
16.
Curdt, Constanze, et al.. (2011). TR32DB — Management and visualization of heterogeneous scientific data. 7840. 1–6. 3 indexed citations
17.
Li, Fei, Hailin Zhang, Liangliang Jia, et al.. (2010). ESTIMATING WINTER WHEAT BIOMASS AND NITROGEN STATUS USING AN ACTIVE CROP SENSOR. Kölner Universitäts PublikationsServer (Universität zu Köln). 45 indexed citations
18.
Li, Fei, Yuxin Miao, Martin L. Gnyp, et al.. (2009). Evaluating red edge vegetation indices for estimating winter wheat N status under high canopy coverage condition. eScholarship (California Digital Library). 3 indexed citations
19.
Doluschitz, Reiner, et al.. (2006). Establishment of a Web-based spectral database for the analysis of hyperspectral data from Rhizoctonia solani-inoculated sugarbeets. Kölner Universitäts PublikationsServer (Universität zu Köln). 8 indexed citations
20.
Bareth, Georg & Zhenrong Yu. (2004). Verfügbarkeit von digitalen Geodaten in China. 148(5). 78–85. 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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