Matteo Pardini

1.5k total citations
98 papers, 1.1k citations indexed

About

Matteo Pardini is a scholar working on Aerospace Engineering, Environmental Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Matteo Pardini has authored 98 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Aerospace Engineering, 69 papers in Environmental Engineering and 30 papers in Management, Monitoring, Policy and Law. Recurrent topics in Matteo Pardini's work include Synthetic Aperture Radar (SAR) Applications and Techniques (90 papers), Soil Moisture and Remote Sensing (39 papers) and Advanced SAR Imaging Techniques (33 papers). Matteo Pardini is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (90 papers), Soil Moisture and Remote Sensing (39 papers) and Advanced SAR Imaging Techniques (33 papers). Matteo Pardini collaborates with scholars based in Germany, Italy and Switzerland. Matteo Pardini's co-authors include Konstantinos Papathanassiou, Irena Hajnsek, Victor Cazcarra-Bes, Fabrizio Lombardini, Kostas Papathanassiou, Alberto Moreira, Marwan Younis, Paco López‐Dekker, Alessandro Parizzi and Michael Eineder and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Matteo Pardini

97 papers receiving 1.1k citations

Peers

Matteo Pardini

MMPL

Pascale Dubois-Fernandez France

Mauro Mariotti d’Alessandro Italy

Othmar Frey Switzerland

Laurent Ferro-Famil France

Haiqiang Fu China

G. Smith Sweden

Patrik Dammert Sweden

Oleg Antropov Finland

Mi Jiang China

Adib Y. Nashashibi United States

Pascale Dubois-Fernandez France

Matteo Pardini

1.3k ×1.4

795 ×1.3

311 ×1.1

MMPL

352 ×1.6

182 ×1.5

Citations per year, relative to Matteo Pardini Matteo Pardini (= 1×) peers Pascale Dubois-Fernandez

Countries citing papers authored by Matteo Pardini

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Pardini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pardini

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

Liu, Xiao, C. S. R. Neigh, Matteo Pardini, & Matthias Forkel. (2024). Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations. International Journal of Remote Sensing. 45(9). 3129–3148. 11 indexed citations

Qi, Wenlu, John Armston, Atticus Stovall, et al.. (2024). Mapping large-scale pantropical forest canopy height by integrating GEDI lidar and TanDEM-X InSAR data. Remote Sensing of Environment. 318. 114534–114534. 6 indexed citations

Pardini, Matteo, et al.. (2024). Forest 3D Radar Reflectivity Reconstruction at X-Band Using a Lidar Derived Polarimetric Coherence Tomography Basis. Remote Sensing. 16(12). 2146–2146. 1 indexed citations

Pardini, Matteo, et al.. (2024). On the Use of Tomographically Derived Reflectivity Profiles for Pol-InSAR Forest Height Inversion in the Context of the BIOMASS Mission. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 3 indexed citations

Moreira, Alberto, Pau Prats, Matteo Nannini, et al.. (2023). Spaceborne Multi-Baseline Synthetic Aperture Radar (SAR) Imaging. elib (German Aerospace Center). 60. 345–348. 2 indexed citations

Antropov, Oleg, Jukka Miettinen, Tuomas Häme, et al.. (2022). Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5777–5780. 2 indexed citations

Cazcarra-Bes, Victor, Matteo Pardini, & Konstantinos Papathanassiou. (2020). Definition of Tomographic SAR Configurations for Forest Structure Applications at L-Band. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations

Pardini, Matteo, et al.. (2018). 3-D Scattering Characterization of Agricultural Crops at C-Band Using SAR Tomography. IEEE Transactions on Geoscience and Remote Sensing. 56(7). 3976–3989. 17 indexed citations

Hajnsek, Irena, Matteo Pardini, Ralf Horn, et al.. (2016). 3-D SAR Imaging of African Forests: Results from the AfriSAR Campaign at P- and L-Band. elib (German Aerospace Center). 36–39. 3 indexed citations

10.

Pardini, Matteo, et al.. (2015). Application of Polarimetric SAR Tomography on Agricultural Vegetation for Scattering Characterisation. elib (German Aerospace Center). 729. 26. 2 indexed citations

11.

Pardini, Matteo, et al.. (2015). On the Potentials of PolInSAR Inversion for Monitoring Long-Term Forest Height Dynamics at L-band. elib (German Aerospace Center). 1 indexed citations

12.

Pardini, Matteo, et al.. (2014). First Multi-Frequency Investigation of SAR Tomography for Vertical Structure of Agricultural Crops. 1–4. 8 indexed citations

13.

Pardini, Matteo & Konstantinos Papathanassiou. (2014). A Two-Step Phase Calibration Method for Tomographic Applications with Airborne SAR Data. elib (German Aerospace Center). 1–4. 12 indexed citations

14.

Pardini, Matteo, Andrea Cantini, Fabrizio Lombardini, & Konstantinos Papathanassiou. (2014). 3-D Structure Of Forests: First Analysis of Tomogram Changes Due to Weather and Seasonal Effects at L-Band. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 17 indexed citations

15.

Caicoya, Astor Toraño, Florian Kugler, Matteo Pardini, Irena Hajnsek, & Konstantinos Papathanassiou. (2014). Vertical forest structure characterization for the estimation of above ground biomass: First experimental results using SAR vertical reflectivity profiles. elib (German Aerospace Center). 1045–1048. 5 indexed citations

16.

Pardini, Matteo, et al.. (2013). Towards Forest Structure Characteristics Retrieval from SAR Tomographic Profiles. 1–4. 4 indexed citations

17.

Pardini, Matteo & Konstantinos Papathanassiou. (2011). Robust Estimation of the Vertical Structure of Forest with Coherence Tomography. elib (German Aerospace Center). 695. 66. 3 indexed citations

18.

Lombardini, Fabrizio, et al.. (2010). Tomographic Analyses of Non-stationary Volumetric Scattering. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 8 indexed citations

19.

Lombardini, Fabrizio, et al.. (2009). Parametric differential SAR tomography of decorrelating volume scatterers. CINECA IRIS Institutial research information system (University of Pisa). 270–273. 4 indexed citations

20.

Lombardini, Fabrizio, Matteo Pardini, & L. Verrazzani. (2008). A Robust Multibaseline Sector Interpolator for 3D SAR Imaging. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 12 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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