Claudio Navacchi

729 total citations
17 papers, 478 citations indexed

About

Claudio Navacchi is a scholar working on Environmental Engineering, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Claudio Navacchi has authored 17 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 9 papers in Aerospace Engineering and 6 papers in Atmospheric Science. Recurrent topics in Claudio Navacchi's work include Soil Moisture and Remote Sensing (8 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers) and Flood Risk Assessment and Management (3 papers). Claudio Navacchi is often cited by papers focused on Soil Moisture and Remote Sensing (8 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers) and Flood Risk Assessment and Management (3 papers). Claudio Navacchi collaborates with scholars based in Austria, Netherlands and United Kingdom. Claudio Navacchi's co-authors include Wolfgang Wagner, Bernhard Bauer-Marschallinger, Sebastian van der Linden, Akpona Okujeni, David Frantz, Franz Schug, Patrick Hostert, Senmao Cao, Vahid Freeman and Wouter Dorigo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Sensors.

In The Last Decade

Claudio Navacchi

17 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Navacchi Austria 10 222 219 163 119 74 17 478
Ram C. Sharma Japan 13 268 1.2× 294 1.3× 125 0.8× 248 2.1× 35 0.5× 40 581
Emanuele Angiuli Italy 8 153 0.7× 232 1.1× 143 0.9× 153 1.3× 49 0.7× 15 490
Keitarou Hara Japan 13 182 0.8× 321 1.5× 122 0.7× 256 2.2× 29 0.4× 50 599
Jiayuan Lin China 11 280 1.3× 123 0.6× 55 0.3× 139 1.2× 69 0.9× 30 484
Monia Elisa Molinari Italy 9 90 0.4× 166 0.8× 77 0.5× 107 0.9× 58 0.8× 28 417
Jiayong Liang United States 8 83 0.4× 269 1.2× 151 0.9× 46 0.4× 61 0.8× 16 484
Huyan Fu China 12 390 1.8× 370 1.7× 207 1.3× 82 0.7× 22 0.3× 21 650
Koki Iwao Japan 12 141 0.6× 199 0.9× 103 0.6× 131 1.1× 54 0.7× 35 528
Liujun Zhu China 15 480 2.2× 253 1.2× 340 2.1× 203 1.7× 88 1.2× 55 824
Yewen Fan China 15 196 0.9× 291 1.3× 169 1.0× 253 2.1× 15 0.2× 26 612

Countries citing papers authored by Claudio Navacchi

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Navacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Navacchi

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Navacchi. A scholar is included among the top collaborators of Claudio Navacchi 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 Claudio Navacchi. Claudio Navacchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 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.
3.
Navacchi, Claudio, Isabella Pfeil, Mariëtte Vreugdenhil, et al.. (2024). Evaluation of limiting factors for SAR backscatter based cut detection of alpine grasslands. SHILAP Revista de lepidopterología. 9. 100117–100117. 6 indexed citations
4.
Vreugdenhil, Mariëtte, et al.. (2024). Mitigating the impact of dense vegetation on the Sentinel-1 surface soil moisture retrievals over Europe. European Journal of Remote Sensing. 57(1). 1 indexed citations
5.
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
6.
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
7.
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
8.
Dostálová, Alena, et al.. (2022). The effects of radiometric terrain flattening on SAR-based forest mapping and classification. Remote Sensing Letters. 13(9). 855–864. 9 indexed citations
9.
Dorigo, Wouter, Alena Dostálová, Markus Hollaus, et al.. (2021). Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests. Remote Sensing. 13(4). 798–798. 18 indexed citations
10.
Bauer-Marschallinger, Bernhard, Senmao Cao, Claudio Navacchi, et al.. (2021). The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves. Scientific Data. 8(1). 277–277. 64 indexed citations
11.
Wagner, Wolfgang, Bernhard Bauer-Marschallinger, Claudio Navacchi, et al.. (2021). A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications. Remote Sensing. 13(22). 4622–4622. 27 indexed citations
12.
Schramm, M., Edzer Pebesma, Milutin Milenković, et al.. (2021). The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote Sensing. 13(6). 1125–1125. 46 indexed citations
13.
Frantz, David, Franz Schug, Akpona Okujeni, et al.. (2020). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment. 252. 112128–112128. 168 indexed citations
14.
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
15.
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
16.
Pfeil, Isabella, et al.. (2020). Classification of Wheat and Barley Fields Using Sentinel-1 Backscatter. 140–143. 4 indexed citations
17.
Navacchi, Claudio, Bernhard Bauer-Marschallinger, & Wolfgang Wagner. (2020). Flood Monitoring using ACube - An Austrian Data Cube Solution. 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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Rankless by CCL
2026