Gaetano PECORARO

About Gaetano PECORARO

Gaetano PECORARO, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Università degli Studi di Salerno, specializes in the field of Landslide, Risk, Early warning, Monitoring, Civil and Environmental Engineering.

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

Demonstration of a deep-learning-based system for rainfall induced shallow landslides forecasting in Italy

IoT monitoring and reanalysis data of soil moisture and rainfall for landslide warning: a test case

Investigating recent weather-induced landslides and the related weather characteristics in a test area in Campania Region (Italy) for warning purposes

Analyses of slow-moving landslides interacting with the road network: case studies in Basilicata region (southern Italy)

Definition of hydro-meteorological thresholds for landslides based on a limited dataset

Landslide Early Warning Systems as Climate Change Adaptation Measures for Rail Infrastructure

Remote Sensing Meteorological and DInSAR Historical Data to Analyse the Kinematic Behaviour of Slow-Moving Landslides at Municipal Scale

A framework based on IoT and human sentinels for a municipal landslide early warning system: a case study in southern Italy of the project" The HuT"

Gaetano PECORARO Information

University

Position

___

Citations(all)

310

Citations(since 2020)

300

Cited By

88

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Gaetano PECORARO Skills & Research Interests

Landslide

Risk

Early warning

Monitoring

Civil and Environmental Engineering

Top articles of Gaetano PECORARO

Demonstration of a deep-learning-based system for rainfall induced shallow landslides forecasting in Italy

2024/3/7

Michele Calvello
Michele Calvello

H-Index: 20

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

IoT monitoring and reanalysis data of soil moisture and rainfall for landslide warning: a test case

2024/3/7

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Investigating recent weather-induced landslides and the related weather characteristics in a test area in Campania Region (Italy) for warning purposes

2024/3/7

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Analyses of slow-moving landslides interacting with the road network: case studies in Basilicata region (southern Italy)

2024/3/7

Definition of hydro-meteorological thresholds for landslides based on a limited dataset

2024/1/19

Sen Zhang
Sen Zhang

H-Index: 2

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Landslide Early Warning Systems as Climate Change Adaptation Measures for Rail Infrastructure

2023/6/17

Remote Sensing Meteorological and DInSAR Historical Data to Analyse the Kinematic Behaviour of Slow-Moving Landslides at Municipal Scale

2023/6/17

A framework based on IoT and human sentinels for a municipal landslide early warning system: a case study in southern Italy of the project" The HuT"

EGU General Assembly Conference Abstracts

2023/5

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Definition of Rainfall Thresholds for Landslides Using Unbalanced Datasets: Two Case Studies in Shaanxi Province, China

Water

2023/3/10

Combining Statistical, Displacement and Damage Analyses to Study Slow-Moving Landslides Interacting with Roads: Two Case Studies in Southern Italy

Applied Sciences

2023/3/6

Machine learning for the definition of landslide alert models: a case study in Campania region, Italy

Discover Artificial Intelligence

2022/8/26

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Using machine learning for defining distributed monitoring variables correlated to the occurrence of rainfall-induced shallow landslides and debris flows: a case study in …

EGU General Assembly Conference Abstracts

2022/5

Michele Calvello
Michele Calvello

H-Index: 20

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Discover Artificial Intelligence

Discover

2021

A procedure for identifying rainfall thresholds for the occurrence of landslides

EGU General Assembly Conference Abstracts

2021/4

Michele Calvello
Michele Calvello

H-Index: 20

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

A probabilistic model for assessing debris flow propagation at regional scale: a case study in Campania region, Italy

EGU General Assembly Conference Abstracts

2021/4

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides

Landslides

2021/4

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Integrating landslide susceptibility maps into warning models at regional scale in Italy

EGU General Assembly Conference Abstracts

2021/4

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Definition and First Application of a Probabilistic Warning Model for Rainfall-Induced Landslides

Understanding and Reducing Landslide Disaster Risk: Volume 3 Monitoring and Early Warning 5th

2021

Gaetano Pecoraro
Gaetano Pecoraro

H-Index: 4

Michele Calvello
Michele Calvello

H-Index: 20

Spatio-temporal cluster analyses of landslides in Italy at national and regional scale

EGU General Assembly Conference Abstracts

2020/5

Influence of Numerosity and Distribution of Piezometric Data on the Performance of a Warning Model for Weather-Induced Landslides in Norway

2020

See List of Professors in Gaetano PECORARO University(Università degli Studi di Salerno)