Luca Pasolli

1.3k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Luca Pasolli is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Luca Pasolli has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Engineering, 15 papers in Atmospheric Science and 7 papers in Aerospace Engineering. Recurrent topics in Luca Pasolli's work include Soil Moisture and Remote Sensing (20 papers), Precipitation Measurement and Analysis (8 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers). Luca Pasolli is often cited by papers focused on Soil Moisture and Remote Sensing (20 papers), Precipitation Measurement and Analysis (8 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers). Luca Pasolli collaborates with scholars based in Italy, Austria and Germany. Luca Pasolli's co-authors include Claudia Notarnicola, E. Santi, S. Paloscia, S. Pettinato, Lorenzo Bruzzone, Antonio Reppucci, Enrico Blanzieri, Farid Melgani, Georg Niedrist and Ulrike Tappeiner and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Luca Pasolli

29 papers receiving 973 citations

Hit Papers

align trajectories

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.

Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation

2013 367 citations S. Paloscia, S. Pettinato et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Pasolli Italy	15	753	483	223	213	153	30	1.0k
Felix Greifeneder Italy	13	583 0.8×	283 0.6×	251 1.1×	106 0.5×	201 1.3×	28	827
Anna Balenzano Italy	15	833 1.1×	548 1.1×	199 0.9×	455 2.1×	103 0.7×	49	1.0k
Jesús Álvarez‐Mozos Spain	17	717 1.0×	407 0.8×	380 1.7×	256 1.2×	173 1.1×	39	1.1k
Pang‐Wei Liu United States	17	749 1.0×	471 1.0×	172 0.8×	325 1.5×	210 1.4×	46	1.2k
Yoann Malbéteau France	19	657 0.9×	425 0.9×	328 1.5×	151 0.7×	332 2.2×	25	1.2k
Hassan Bazzi France	13	644 0.9×	432 0.9×	350 1.6×	213 1.0×	180 1.2×	39	961
M. Zribi France	12	893 1.2×	592 1.2×	94 0.4×	419 2.0×	92 0.6×	14	1.0k
Ernesto López-Baeza Spain	18	848 1.1×	747 1.5×	123 0.6×	147 0.7×	263 1.7×	69	1.2k
Daniel Sabel Austria	14	710 0.9×	643 1.3×	113 0.5×	243 1.1×	209 1.4×	28	953
Senmao Cao Austria	11	387 0.5×	385 0.8×	142 0.6×	162 0.8×	244 1.6×	20	717

Countries citing papers authored by Luca Pasolli

Since Specialization

Citations

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

Fields of papers citing papers by Luca Pasolli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Pasolli

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

Pasolli, Luca, et al.. (2023). Le competenze distintive metodologiche e relazionali del medico di medicina generale nelle cure primarie. Recenti Progressi in Medicina. 114(11). 654–664. 1 indexed citations

Castelli, Mariapina, et al.. (2023). Insuring Alpine Grasslands against Drought-Related Yield Losses Using Sentinel-2 Satellite Data. Remote Sensing. 15(14). 3542–3542. 2 indexed citations

Castelletti, Davide, Luca Pasolli, Lorenzo Bruzzone, Claudia Notarnicola, & Begüm Demir. (2016). A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation. IEEE Transactions on Geoscience and Remote Sensing. 54(8). 4764–4774. 4 indexed citations

Pasolli, Luca, Claudia Notarnicola, Giacomo Bertoldi, et al.. (2015). Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(1). 262–283. 48 indexed citations

Pasolli, Luca, Sarah Asam, Mariapina Castelli, et al.. (2015). Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery. Remote Sensing of Environment. 165. 159–174. 55 indexed citations

Gruber, Alexander, S. Paloscia, E. Santi, et al.. (2014). Round Robin evaluation of soil moisture retrieval models for the MetOp-A ASCAT Instrument. EGU General Assembly Conference Abstracts. 6462. 1 indexed citations

Notarnicola, Claudia, Luca Pasolli, Giovanni Cuozzo, et al.. (2014). Temporal and spatial soil moisture dynamics in mountain meadows by integrating Radarsat 2 images and ground data. Institutional Research Information System (Università degli Studi di Trento). 1222–1225. 1 indexed citations

Pasolli, Luca, Claudia Notarnicola, Giacomo Bertoldi, et al.. (2014). Soil moisture monitoring in mountain areas by using high‐resolution SAR images: results from a feasibility study. European Journal of Soil Science. 65(6). 852–864. 22 indexed citations

Santi, E., S. Paloscia, S. Pettinato, et al.. (2013). Comparison between SAR Soil Moisture Estimates and Hydrological Model Simulations over the Scrivia Test Site. Remote Sensing. 5(10). 4961–4976. 44 indexed citations

10.

Pasolli, Luca, Giacomo Bertoldi, Stefano Della Chiesa, et al.. (2013). Multi-source and multi-scale soil moisture dynamic modelling in mountain meadows. 763–766. 2 indexed citations

11.

Paloscia, S., S. Pettinato, E. Santi, et al.. (2013). Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation. Remote Sensing of Environment. 134. 234–248. 367 indexed citations breakdown →

12.

Pasolli, Luca, Claudia Notarnicola, & Lorenzo Bruzzone. (2012). Multi-Objective Parameter Optimization in Support Vector Regression: General Formulation and Application to the Retrieval of Soil Moisture From Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(5). 1495–1508. 24 indexed citations

13.

Pasolli, Luca, Lorenzo Bruzzone, & Claudia Notarnicola. (2011). A novel hybrid approach to the estimation of biophysical parameters from remotely sensed data. Institutional Research Information System (Università degli Studi di Trento). 1231–1234. 1 indexed citations

14.

Pasolli, Luca, Claudia Notarnicola, Lorenzo Bruzzone, et al.. (2011). Estimation of Soil Moisture in an Alpine Catchment with RADARSAT2 Images. Applied and Environmental Soil Science. 2011. 1–12. 29 indexed citations

15.

Pasolli, Luca, Claudia Notarnicola, & Lorenzo Bruzzone. (2011). Estimating Soil Moisture With the Support Vector Regression Technique. IEEE Geoscience and Remote Sensing Letters. 8(6). 1080–1084. 92 indexed citations

16.

Pasolli, Luca, Claudia Notarnicola, Lorenzo Bruzzone, & Marc Zebisch. (2011). Spatial and temporal mapping of leaf area index in Alpine pastures and meadows with satellite MODIS imagery. Institutional Research Information System (Università degli Studi di Trento). 109–112. 1 indexed citations

17.

Pasolli, Luca, Claudia Notarnicola, Lorenzo Bruzzone, et al.. (2011). Spatial and temporal mapping of soil moisture content with polarimetric RADARSAT 2 SAR imagery in the Alpine area. Cineca Institutional Research Information System (Tor Vergata University). ii. 1067–1070. 1 indexed citations

18.

Pasolli, Luca, Farid Melgani, & Enrico Blanzieri. (2010). Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters. 7(3). 464–468. 112 indexed citations

19.

Notarnicola, Claudia, et al.. (2010). Exploitation of C- and X-band SAR images for soil moisture change detection estimation in agricultural areas (Po Valley, Italy). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7829. 78290G–78290G. 3 indexed citations

20.

Pasolli, Luca, Enrico Blanzieri, & Farid Melgani. (2008). Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes. Institutional Research Information System (Università degli Studi di Trento). II–851. 14 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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