Juliane Huth

1.3k total citations
33 papers, 955 citations indexed

About

Juliane Huth is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Juliane Huth has authored 33 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 14 papers in Ecology and 9 papers in Atmospheric Science. Recurrent topics in Juliane Huth's work include Flood Risk Assessment and Management (9 papers), Remote Sensing in Agriculture (8 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers). Juliane Huth is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Remote Sensing in Agriculture (8 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers). Juliane Huth collaborates with scholars based in Germany, Vietnam and China. Juliane Huth's co-authors include Claudia Kuenzer, Stefan Dech, Patrick Leinenkugel, Steffen Gebhardt, Huadong Guo, Xinwu Li, Ursula Geßner, Thilo Wehrmann, Felix Bachofer and Stefanie Holzwarth and has published in prestigious journals such as Immunity, Aquaculture and International Journal of Remote Sensing.

In The Last Decade

Juliane Huth

31 papers receiving 912 citations

Peers

Juliane Huth

GPC

ECOLO

WST

Muhammad Hasan Ali Baig China

Haifa Tamiminia Canada

M. Clerici Italy

Céline Lamarche Belgium

Arthur C. R. Gleason United States

Sarina Adeli Canada

Milton Kampel Brazil

Sébastien Rapinel France

Jakub Langhammer Czechia

Tim Danaher Australia

Muhammad Hasan Ali Baig China

Juliane Huth

826 ×1.3

GPC

610 ×2.0

ECOLO

427 ×1.6

310 ×1.2

201 ×0.9

WST

Citations per year, relative to Juliane Huth Juliane Huth (= 1×) peers Muhammad Hasan Ali Baig

Countries citing papers authored by Juliane Huth

Since Specialization

Citations

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

Fields of papers citing papers by Juliane Huth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juliane Huth

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

Ottinger, Marco, Kuan Liu, Tobias Ullmann, et al.. (2025). Pond aquaculture dynamics in Asia: Satellite time series for analyzing the spatio-temporal development of coastal aquaculture. Aquaculture. 610. 742940–742940. 2 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.

Eisfelder, Christina, et al.. (2024). Cropland and Crop Type Classification with Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine for Agricultural Monitoring in Ethiopia. Remote Sensing. 16(5). 866–866. 13 indexed citations

Vo, Tuan Quoc, Felix Bachofer, Juliane Huth, et al.. (2024). Enhanced Monitoring of Sub-Seasonal Land Use Dynamics in Vietnam’s Mekong Delta through Quantile Mapping and Harmonic Regression. Remote Sensing. 16(19). 3569–3569. 2 indexed citations

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

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

Huth, Juliane, et al.. (2022). A Review of Earth Observation-Based Drought Studies in Southeast Asia. Remote Sensing. 14(15). 3763–3763. 38 indexed citations

Huth, Juliane, Ursula Geßner, Igor Klein, et al.. (2020). Analyzing Water Dynamics Based on Sentinel-1 Time Series—a Study for Dongting Lake Wetlands in China. Remote Sensing. 12(11). 1761–1761. 27 indexed citations

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

10.

Ottinger, Marco, et al.. (2020). Emerging pressure on mangrove forest environments as a result of shrimp farming expansion - A remote sensing based analyses for an exemplary coastal site at the Pacific coast in South America. 1 indexed citations

11.

Leinenkugel, Patrick, et al.. (2019). The Potential of Open Geodata for Automated Large-Scale Land Use and Land Cover Classification. Remote Sensing. 11(19). 2249–2249. 37 indexed citations

12.

Klein, Igor, et al.. (2019). Volumetric Analysis of Reservoirs in Drought-Prone Areas Using Remote Sensing Products. Remote Sensing. 11(17). 1974–1974. 22 indexed citations

13.

Kuenzer, Claudia, Valentin Heimhuber, Juliane Huth, & Stefan Dech. (2019). Remote Sensing for the Quantification of Land Surface Dynamics in Large River Delta Regions—A Review. Remote Sensing. 11(17). 1985–1985. 31 indexed citations

14.

Huth, Juliane & Claudia Künzer. (2016). The Potential of Innovative Earth Observation Approaches to Assess Ecologic Dynamics in Wetlands and their Water Sheds. elib (German Aerospace Center). 1 indexed citations

15.

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

16.

Gstaiger, Veronika, Juliane Huth, Steffen Gebhardt, Thilo Wehrmann, & Claudia Kuenzer. (2012). Multi-sensoral and automated derivation of inundated areas using TerraSAR-X and ENVISAT ASAR data. International Journal of Remote Sensing. 33(22). 7291–7304. 79 indexed citations

17.

Sinha, Baerbel, Juliane Huth, S. M. King, et al.. (2009). Composition and mixing state of wet season fine mode aerosol collected in the Amazonian tropical rain forest (Manaus, Brazil). EGU General Assembly Conference Abstracts. 4814. 2 indexed citations

18.

Huth, Juliane, Steffen Gebhardt, Thilo Wehrmann, et al.. (2009). Automated inundation monitoring using TerraSAR-X multi-temporal imagery. elib (German Aerospace Center). 13468. 3 indexed citations

19.

Gebhardt, Steffen, Veronika Gstaiger, Juliane Huth, et al.. (2008). Simple image processing techniques for near-real time inundation monitoring using TerraSAR-X imagery. Immunity. 19(2). 203–11. 1 indexed citations

20.

Huth, Juliane & Peter Gege. (2005). Suspended matter dynamics in Lake Constance in 2003 derived from MERIS and MODIS satellite data. elib (German Aerospace Center). 572. 2 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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