P. Ferrazzoli

6.4k citations

131 papers · 4.5k indexed · 1 hit paper · h-index 32

Impact in

Environmental Engineering top 0.1%
- Soil Moisture and Remote Sensing
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
Atmospheric Science top 0.5%
- Precipitation Measurement and Analysis
- Climate change and permafrost
- Cryospheric studies and observations

Papers in

Environmental Engineering 116
- Soil Moisture and Remote Sensing 112
- Soil Geostatistics and Mapping 24
- Remote Sensing and LiDAR Applications 14
Atmospheric Science 80
- Precipitation Measurement and Analysis 45
- Cryospheric studies and observations 28
- Climate change and permafrost 28

Co-authors: Leila Guerriero Jean‐Pierre Wigneron G. Schiavon Philippe Richaume Philippe Waldteufel R. Rahmoune Nazzareno Pierdicca Jean‐Christophe Calvet
Journals: IEEE Transactions on Geoscience and Remote Sensing (27 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (9 papers)Remote Sensing of Environment (9 papers)International Journal of Remote Sensing (7 papers)IEEE Geoscience and Remote Sensing Letters (5 papers)
Partner nations: Italy Argentina Netherlands

In The Last Decade

P. Ferrazzoli

125 papers receiving 4.3k citations

Hit Papers

align trajectories log scale

The SMOS Soil Moisture Retrieval Algorithm 2012 · 781 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2012 IEEE Transactions on Geoscience and Remote Sensing

Peers

Countries citing papers authored by P. Ferrazzoli

Since Specialization

Citations

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

Fields of papers citing papers by P. Ferrazzoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Ferrazzoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Ferrazzoli Line = papers co-authored together P. Ferrazzoli links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	SMOS L-VOD Retrieved by Level 2 Algorithm and its Correlation With GEDI LIDAR Products IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Cristina Vittucci, Leila Guerriero, P. Ferrazzoli, Philippe Richaume, Yann H. Kerr	2021	6
2	Microwave Vegetation Index from Multi-Angular Observations and Its Application in Vegetation Properties Retrieval: Theoretical Modelling Remote Sensing ·Somayeh Talebiesfandarani, Tianjie Zhao, Jiancheng Shi, P. Ferrazzoli, Jean‐Pierre Wigneron, Mehdi Zamani, Peejush Pani	2019	11
3	Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests IEEE Geoscience and Remote Sensing Letters ·Cristina Vittucci, P. Ferrazzoli, Yann H. Kerr, Philippe Richaume, Gaia Vaglio Laurin, Leila Guerriero	2018	17
4	Impact of surface roughness, vegetation opacity and soil permittivity on L-band microwave emission and soil moisture retrieval in the third pole environment Remote Sensing of Environment ·Donghai Zheng, Xin Wang, R. van der Velde, P. Ferrazzoli, Jun Wen, Zuoliang Wang, Mike Schwank, Andreas Colliander, Rajat Bindlish, Zhongbo Su	2018	46
5	Effective Scattering Albedo of Forests Retrieved by SMOS and a Three-Parameter Algorithm IEEE Geoscience and Remote Sensing Letters ·Cristina Vittucci, P. Ferrazzoli, Philippe Richaume, Yann H. Kerr	2017	10
6	Joining a Discrete Radiative Transfer Model and a Kernel Retrieval Algorithm for Soil Moisture Estimation From SAR Data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Jelena Stamenković, P. Ferrazzoli, Leila Guerriero, Devis Tuia, Jean‐Philippe Thiran	2015	11
7	Recent developments in radar altimetry over land and their application to the CryoSat -2 mission IEEE Aerospace and Electronic Systems Magazine ·Marco Meloni, Guido Vingione, P. Ferrazzoli, Tommaso Parrinello	2015	2
8	River Water Level Prediction Using Passive Microwave Signatures—A Case Study: The Bermejo Basin IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Cristina Vittucci, Leila Guerriero, P. Ferrazzoli, R. Rahmoune, V. Barraza, Francisco Grings	2014	10
9	SMOS Retrieval Results Over Forests: Comparisons With Independent Measurements IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·R. Rahmoune, P. Ferrazzoli, Yogesh Kumar Singh, Yann H. Kerr, Philippe Richaume, Ahmad Al Bitar	2014	43
10	Airborne forest monitoring during SMAPEx-3 campaign Cineca Institutional Research Information System (Tor Vergata University) ·Cristina Vittucci, Leila Guerriero, P. Ferrazzoli, R. Rahmoune, Mihai A. Tanase, Rocco Panciera, A. Monerris, Christoph Rüdiger, Jeffrey P. Walker	2013	3
11	Estimating flooded area and mean water level using active and passive microwaves: the example of Paraná River Delta floodplain Hydrology and earth system sciences ·M. Salvia, Francisco Grings, P. Ferrazzoli, V. Barraza, V. Douna, P. Perna, Cintia A. Bruscantini, H. Karszenbaum	2011	12
12	Use of passive microwave signatures to detect and monitor flooding events in Sundarban Delta Raja Chakraborty, R. Rahmoune, P. Ferrazzoli	2011	5
13	AMSR-E observations of rain and flood events over vegetated areas of LA Plata basin Cineca Institutional Research Information System (Tor Vergata University) ·P. Ferrazzoli, R. Rahmoune, Francisco Grings, V. Douna, G. Parmuchi, M. Salvia, H. Karszenbaum	2010	2
14	Forest biomass monitoring with GNSS-R: Theoretical simulations Advances in Space Research ·P. Ferrazzoli, Leila Guerriero, Nazzareno Pierdicca, R. Rahmoune	2010	104
15	Exploring the capacity of radar remote sensing to estimate wetland marshes water storage Journal of Environmental Management ·Francisco Grings, M. Salvia, H. Karszenbaum, P. Ferrazzoli, Patricia Kandus, P. Perna	2008	28
16	ASAR Multitemporal and Dual Polarization Observations of Wetland Marshes H. Karszenbaum, Francisco Grings, P. Ferrazzoli, Javier Tiffenberg, Japhia M. Jacobo, Patricia Kandus, Paula Pratolongo, G. Parmuchi	2005	2
17	Measuring Soil Moisture with ESA's SMOS Mission: Advancing the Science Data Archiving and Networked Services (DANS) ·Michael Berger, Yann H. Kerr, Jordi Font, Jean‐Pierre Wigneron, Jean‐Christophe Calvet, Khaldoun Saleh, E. Baeza-Lopez, L. Simmonds, P. Ferrazzoli, Bart van den Hurk, Ph. Waldteufel, F. Petitcolin, A.A. vd Griend, E. Atema, Michael Rast	2003	4
18	Could bistatic observations contribute to forest biomass monitoring? P. Ferrazzoli, Leila Guerriero, D. Solimini	2003	2
19	Simulating Bistatic Scatter From Surfaces Covered With Vegetation Journal of Electromagnetic Waves and Applications ·P. Ferrazzoli, Leila Guerriero, D. Solimini	2000	19
20	A fully polarimetric multiple scattering model for crops Remote Sensing of Environment ·M. Bracaglia, P. Ferrazzoli, Leila Guerriero	1995	143

About P. Ferrazzoli

P. Ferrazzoli is a scholar working on Environmental Engineering, Atmospheric Science, Aerospace Engineering, Global and Planetary Change and Earth-Surface Processes, having authored 131 papers that have together received 4.5k indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (112 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (55 papers), Precipitation Measurement and Analysis (45 papers), Cryospheric studies and observations (28 papers), Climate change and permafrost (28 papers), Soil Geostatistics and Mapping (24 papers), Remote Sensing and LiDAR Applications (14 papers) and Remote Sensing in Agriculture (11 papers). The work is most often cited by research in Environmental Engineering (3.8k citations), Atmospheric Science (2.8k citations), Aerospace Engineering (1.4k citations), Global and Planetary Change (728 citations) and Ecology (597 citations). P. Ferrazzoli has collaborated with scholars based in Italy, Argentina and Netherlands. Frequent co-authors include Leila Guerriero, Jean‐Pierre Wigneron, G. Schiavon, Philippe Richaume, Philippe Waldteufel, R. Rahmoune, Nazzareno Pierdicca, Jean‐Christophe Calvet, S. Paloscia and Yann H. Kerr. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing of Environment, International Journal of Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

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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