Riccardo Fanti

About Riccardo Fanti

Riccardo Fanti, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of geologia applicata, idrogeologia, telerilevamento, frane.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessing the efficiency of the irrigation system in a horticulture field through time-lapse electrical resistivity tomography

Considerations on the electrode spacing to electrode diameter ratio in electrical resistivity tomography (ERT): an operational approach

EGMS insights into ground deformation patterns in Underground Gas Storage (UGS) activities

Electrical Resistivity Tomography (ERT) to monitor the efficiency of different irrigation systems in horticulture field

Correlating different evaluation methods for SWC as support for soil processes modelling

Optimization of ML-based regression models applying metaheuristic algorithms to determine the landslide susceptibility

Energy Storage in Salt Caverns: the Role of Insar Monitoring

Underground Gas Storage Monitoring Using Free and Open Source InSAR Data: A Case Study from Yela (Spain)

Riccardo Fanti Information

University

Position

___

Citations(all)

3510

Citations(since 2020)

1841

Cited By

2505

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

47

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Riccardo Fanti Skills & Research Interests

geologia applicata

idrogeologia

telerilevamento

frane

Top articles of Riccardo Fanti

Assessing the efficiency of the irrigation system in a horticulture field through time-lapse electrical resistivity tomography

Irrigation Science

2024/3/18

Considerations on the electrode spacing to electrode diameter ratio in electrical resistivity tomography (ERT): an operational approach

IEEE Transactions on Instrumentation and Measurement

2024/3/11

EGMS insights into ground deformation patterns in Underground Gas Storage (UGS) activities

2024/3/7

Matteo Del Soldato
Matteo Del Soldato

H-Index: 15

Riccardo Fanti
Riccardo Fanti

H-Index: 22

Electrical Resistivity Tomography (ERT) to monitor the efficiency of different irrigation systems in horticulture field

2024/3/7

Correlating different evaluation methods for SWC as support for soil processes modelling

2024/3/7

Veronica Pazzi
Veronica Pazzi

H-Index: 13

Riccardo Fanti
Riccardo Fanti

H-Index: 22

Optimization of ML-based regression models applying metaheuristic algorithms to determine the landslide susceptibility

2024/3/7

Samuele Segoni
Samuele Segoni

H-Index: 28

Riccardo Fanti
Riccardo Fanti

H-Index: 22

Energy Storage in Salt Caverns: the Role of Insar Monitoring

2023/11/14

Underground Gas Storage Monitoring Using Free and Open Source InSAR Data: A Case Study from Yela (Spain)

Energies

2023/9/3

Riccardo Fanti
Riccardo Fanti

H-Index: 22

Matteo Del Soldato
Matteo Del Soldato

H-Index: 15

InSAR Analysis of Underground Gas Storage

2023/7/16

Sinkhole risk mapping and early warning: the case of Camaiore (Italy)

Frontiers in Earth Science

2023/5/16

Sinkhole risk assessment by using machine learning model: the case study of Guidonia-Bagni di Tivoli plain (Rome), Italy

EGU General Assembly Conference Abstracts

2023/5

Electrical Resistivity Tomography (ERT) to assess the drip irrigation water in a field cultivated with melon

EGU General Assembly Conference Abstracts

2023/5

Analysis of the influence of rainfall in the triggering of landslides through machine learning: an innovative approach in the perspective of spatiotemporal landslide forecasting

EGU General Assembly Conference Abstracts

2023/5

Underground Storage of Natural Gas and CO2 Monitoring Applications

EGU General Assembly Conference Abstracts

2023/5

Matteo Del Soldato
Matteo Del Soldato

H-Index: 15

Riccardo Fanti
Riccardo Fanti

H-Index: 22

Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting

Frontiers in Earth Science

2023/4/13

A Decade from the Costa Concordia Shipwreck: Lesson Learned on the Contribution of Infrared Thermography during the Maritime Salvage Operations

Remote Sensing

2023/2/28

An open-source workflow for the classification and monitoring of river embankments: a case study from the Arno River (Florence, Italy)

2023

Stefano Morelli
Stefano Morelli

H-Index: 15

Riccardo Fanti
Riccardo Fanti

H-Index: 22

Reconstruction of the evolution phases of a landslide by using multi-layer back-analysis methods

Landslides

2023/1

Review of the Monitoring Applications Involved in the Underground Storage of Natural Gas and CO2

2022/12/20

Matteo Del Soldato
Matteo Del Soldato

H-Index: 15

Riccardo Fanti
Riccardo Fanti

H-Index: 22

See List of Professors in Riccardo Fanti University(Università degli Studi di Firenze)