Bernhard Bauer-Marschallinger

6.6k total citations · 3 hit papers
43 papers, 4.2k citations indexed

About

Bernhard Bauer-Marschallinger is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Bernhard Bauer-Marschallinger has authored 43 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 24 papers in Atmospheric Science and 14 papers in Global and Planetary Change. Recurrent topics in Bernhard Bauer-Marschallinger's work include Soil Moisture and Remote Sensing (25 papers), Precipitation Measurement and Analysis (16 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers). Bernhard Bauer-Marschallinger is often cited by papers focused on Soil Moisture and Remote Sensing (25 papers), Precipitation Measurement and Analysis (16 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers). Bernhard Bauer-Marschallinger collaborates with scholars based in Austria, Italy and Philippines. Bernhard Bauer-Marschallinger's co-authors include Wolfgang Wagner, Jorge Mendes de Jesus, Mário Guevara, Xiaoyuan Geng, N.H. Batjes, Eloi Ribeiro, J.G.B. Leenaars, Ichsani Wheeler, M. Ruiperez González and Rodrigo Vargas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Bernhard Bauer-Marschallinger

43 papers receiving 4.2k citations

Hit Papers

SoilGrids250m: Global gridded soil information based on m... 2017 2026 2020 2023 2017 2018 2018 500 1000 1.5k 2.0k 2.5k
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.

  1. SoilGrids250m: Global gridded soil information based on machine learning
    2017 2.9k citations Bernhard Bauer-Marschallinger et al. profile →
  2. Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
    2018 303 citations Bernhard Bauer-Marschallinger, Vahid Freeman et al. IEEE Transactions on Geoscience and Remote Sensing profile →
  3. Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study
    2018 274 citations Mariëtte Vreugdenhil, Wolfgang Wagner et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernhard Bauer-Marschallinger Austria 19 1.8k 1.4k 1.1k 997 807 43 4.2k
Milan Kilibarda Serbia 16 1.3k 0.7× 1.3k 1.0× 655 0.6× 835 0.8× 774 1.0× 32 4.0k
Xiaoyuan Geng Canada 18 1.5k 0.8× 1.4k 1.0× 631 0.6× 1.5k 1.5× 906 1.1× 35 4.3k
Jorge Mendes de Jesus Netherlands 5 1.8k 1.0× 1.4k 1.0× 643 0.6× 1.1k 1.1× 1.3k 1.7× 9 4.8k
M. Ruiperez González Netherlands 5 1.3k 0.7× 1.2k 0.9× 546 0.5× 947 0.9× 1.2k 1.5× 12 4.2k
Mário Guevara United States 13 1.1k 0.6× 1.1k 0.8× 518 0.5× 880 0.9× 796 1.0× 40 3.4k
Lars Gerlitz Germany 17 1.1k 0.6× 1.3k 0.9× 895 0.8× 852 0.9× 551 0.7× 29 3.3k
J.G.B. Leenaars Netherlands 13 1.9k 1.1× 1.4k 1.0× 620 0.6× 1.1k 1.1× 1.5k 1.9× 37 5.2k
Ichsani Wheeler Netherlands 8 1.1k 0.6× 1.1k 0.8× 456 0.4× 842 0.8× 916 1.1× 11 3.5k
Wei Shangguan China 25 2.3k 1.3× 2.5k 1.8× 1.5k 1.4× 1.2k 1.2× 1.2k 1.5× 69 6.3k
Eloi Ribeiro Netherlands 11 1.8k 1.0× 2.0k 1.4× 836 0.8× 1.4k 1.4× 1.5k 1.8× 15 5.8k

Countries citing papers authored by Bernhard Bauer-Marschallinger

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Bauer-Marschallinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard Bauer-Marschallinger. 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 Bernhard Bauer-Marschallinger. The network helps show where Bernhard Bauer-Marschallinger may publish in the future.

Co-authorship network of co-authors of Bernhard Bauer-Marschallinger

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Bauer-Marschallinger. A scholar is included among the top collaborators of Bernhard Bauer-Marschallinger 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 Bernhard Bauer-Marschallinger. Bernhard Bauer-Marschallinger 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.
Navacchi, Claudio, et al.. (2025). Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study. Science of Remote Sensing. 11. 100210–100210. 3 indexed citations
2.
Wieland, Marc, Sandro Martinis, Bernhard Bauer-Marschallinger, et al.. (2023). Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 6917–6930. 5 indexed citations
3.
Navacchi, Claudio, Senmao Cao, Bernhard Bauer-Marschallinger, et al.. (2023). Utilising Sentinel-1’s Orbital Stability for Efficient Pre-Processing of Radiometric Terrain Corrected Gamma Nought Backscatter. Sensors. 23(13). 6072–6072. 6 indexed citations
4.
Bauer-Marschallinger, Bernhard, et al.. (2023). Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference. Water. 15(23). 4034–4034. 1 indexed citations
5.
Bauer-Marschallinger, Bernhard, et al.. (2023). Sentinel-1-based analysis of the severe flood over Pakistan 2022. Natural hazards and earth system sciences. 23(10). 3305–3317. 9 indexed citations
6.
Bauer-Marschallinger, Bernhard, et al.. (2023). A PRELIMINARY COMPARISON OF TWO EXCLUSION MAPS FOR LARGE-SCALE FLOOD MAPPING USING SENTINEL-1 DATA. SHILAP Revista de lepidopterología. X-1/W1-2023. 911–918. 2 indexed citations
7.
Navacchi, Claudio, Senmao Cao, Bernhard Bauer-Marschallinger, et al.. (2022). Utilising Sentinel-1’s orbital stability for efficient pre-processing of sigma nought backscatter. ISPRS Journal of Photogrammetry and Remote Sensing. 192. 130–141. 9 indexed citations
8.
Bauer-Marschallinger, Bernhard, Senmao Cao, Claudio Navacchi, et al.. (2022). Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube. Remote Sensing. 14(15). 3673–3673. 43 indexed citations
9.
Zappa, Luca, et al.. (2021). Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. Remote Sensing. 13(9). 1727–1727. 36 indexed citations
10.
Salamon, Peter, Thomas Clarke, Bernhard Bauer-Marschallinger, et al.. (2021). The New, Systematic Global Flood Monitoring Product of the Copernicus Emergency Management Service. elib (German Aerospace Center). 1053–1056. 30 indexed citations
11.
Preimesberger, Wolfgang, et al.. (2021). Towards an operationally capable satellite-based 0-100 cm soil moisture dataset from C3S. 1 indexed citations
12.
Vreugdenhil, Mariëtte, Claudio Navacchi, Bernhard Bauer-Marschallinger, et al.. (2020). Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe. Remote Sensing. 12(20). 3404–3404. 56 indexed citations
13.
Wagner, Wolfgang, Vahid Freeman, Senmao Cao, et al.. (2020). DATA PROCESSING ARCHITECTURES FOR MONITORING FLOODS USING SENTINEL-1. SHILAP Revista de lepidopterología. V-3-2020. 641–648. 15 indexed citations
14.
Schneider, Stefan & Bernhard Bauer-Marschallinger. (2019). Assimilation of SCATSAR Soil Wetness Index in SURFEX 8.0 toimprove weather forecasts. 1 indexed citations
15.
Dariane, Alireza B., Sara Modanesi, Bernhard Bauer-Marschallinger, et al.. (2019). Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins. Journal of Hydrology. 581. 124367–124367. 68 indexed citations
16.
Bauer-Marschallinger, Bernhard, Vahid Freeman, Senmao Cao, et al.. (2018). Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles. IEEE Transactions on Geoscience and Remote Sensing. 57(1). 520–539. 303 indexed citations breakdown →
17.
Bauer-Marschallinger, Bernhard, Christoph Paulik, Thomas Mistelbauer, et al.. (2018). Soil Moisture from Fusion of Scatterometer and SAR: Closing the Scale Gap with Temporal Filtering. Remote Sensing. 10(7). 1030–1030. 85 indexed citations
18.
Vreugdenhil, Mariëtte, Wolfgang Wagner, Bernhard Bauer-Marschallinger, et al.. (2018). Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study. Remote Sensing. 10(9). 1396–1396. 274 indexed citations breakdown →
19.
Bauer-Marschallinger, Bernhard, Senmao Cao, Stefan Schaufler, et al.. (2017). 1km Soil Moisture from Downsampled Sentinel-1 SAR Data: Harnessing Assets and Overcoming Obstacles.. EGU General Assembly Conference Abstracts. 17330. 3 indexed citations
20.
Doubková, Marcela, Wolfgang Wagner, Vahid Naeimi, et al.. (2016). The use of Sentinel-1 for monitoring of soil moisture within the copernicus global land service. ESASP. 740. 105. 3 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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