Samuele Segoni

Samuele Segoni

Università degli Studi di Firenze

H-index: 39

Europe-Italy

About Samuele Segoni

Samuele Segoni, With an exceptional h-index of 39 and a recent h-index of 33 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of Landslide hazard (early warning, forecasting, susceptibility assessment, rainfall thresholds, physically based modelling).

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

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

Comparing radar-raingauge precipitation-merging-methods for soil erosion modelling support

Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation

Towards the complete gamification of an" Environmental Impact Assessment" MSc teaching course

The impact of hydrogeological events on firms: Evidence from Italy

Geophysical survey for the estimation of geotechnical parameters and for the stability assessment of the Tehilly landslide (VdA, Italy)

Optimized 3D rainfall thresholds: false alarms reduction and multi-source validation

Soil erosion as driven by rainfall-cell patterns using weather-radar at regional-scale

Samuele Segoni Information

University

Position

- Dipartimento di Scienze della Terra

Citations(all)

4859

Citations(since 2020)

3499

Cited By

2669

hIndex(all)

39

hIndex(since 2020)

33

i10Index(all)

53

i10Index(since 2020)

50

Email

University Profile Page

Università degli Studi di Firenze

Google Scholar

View Google Scholar Profile

Samuele Segoni Skills & Research Interests

Landslide hazard (early warning

forecasting

susceptibility assessment

rainfall thresholds

physically based modelling)

Top articles of Samuele Segoni

Title

Journal

Author(s)

Publication Date

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

Rajendran Shobha Ajin

Samuele Segoni

Riccardo Fanti

2024/3/7

Comparing radar-raingauge precipitation-merging-methods for soil erosion modelling support

Sandro Moretti

Rossano Ciampalini

Andrea Antonini

Alessandro Mazza

Samantha Melani

...

2024/3/7

Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation

Landslides

Nicola Nocentini

Camilla Medici

Francesco Barbadori

Alessio Gatto

Rachele Franceschini

...

2023/11/28

Towards the complete gamification of an" Environmental Impact Assessment" MSc teaching course

Samuele Segoni

2024/3/7

The impact of hydrogeological events on firms: Evidence from Italy

Journal of Environmental Economics and Management

Stefano Clò

Francesco David

Samuele Segoni

2024/2/10

Geophysical survey for the estimation of geotechnical parameters and for the stability assessment of the Tehilly landslide (VdA, Italy)

Veronica Pazzi

Agnese Innocenti

Elisa Gargini

Samuele Segoni

Ascanio Rosi

...

2024/3/7

Optimized 3D rainfall thresholds: false alarms reduction and multi-source validation

Samuele Segoni

Nicola Nocentini

Camilla Medici

Francesco Barbadori

Alessio Gatto

...

2024/3/7

Soil erosion as driven by rainfall-cell patterns using weather-radar at regional-scale

Rossano Ciampalini

Andrea Antonini

Alessandro Mazza

Samantha Melani

Alberto Ortolani

...

2024/3/7

A comparative study of empirical and machine learning approaches for soil thickness mapping in the Joshimath region (India)

CATENA

Kunal Gupta

Neelima Satyam

Samuele Segoni

2024/6/1

A prototype landslide early warning system in Rize (Turkey): analyzing recent impacts to design a safer future

Landslides

Samuele Segoni

Yusuf Serengil

Fatih Aydin

2023/3

Machine learning model to assess the spatial probability of Sentinel-1 based deformation trend changes

EGU General Assembly Conference Abstracts

Camilla Medici

Pierluigi Confuorto

SIlvia Bianchini

Matteo Del Soldato

Ascanio Rosi

...

2023/5

N. 16 carte geologiche alla scala 1: 10.000 del Foglio CARG Montevarchi n. 287 per il Servizio Geologico della Regione Toscana

Enrico Pandeli

Milvio Fazzuoli

M Magi

S Segoni

M Morelli

2023/7/4

Preliminary assessment and comparison of sediment connectivity indexes in a small catchment area: A case study in Tuscany

EGU General Assembly Conference Abstracts

Francesco Barbadori

Samuel Pelacani

Federico Raspini

Samuele Segoni

2023/2/22

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

Nicola Nocentini

Ascanio Rosi

Samuele Segoni

Riccardo Fanti

2023/5

Assessing the indirect impacts of hydro-geological hazards on Italian firms: a nation-wide assessment

EGU General Assembly Conference Abstracts

Stefano Clò

Samuele Segoni

2023/5

Geophysical surveys for geotechnical model reconstruction and slope stability modelling

Remote Sensing

Agnese Innocenti

Ascanio Rosi

Veronica Tofani

Veronica Pazzi

Elisa Gargini

...

2023/4/19

Empirical approaches for quick management of cascading hazards in the Italian Alps: a warning procedure for landslide reactivation, river damming and outburst waves

EGU General Assembly Conference Abstracts

Samuele Segoni

Francesco Barbadori

Alessio Gatto

Nicola Casagli

2023/2/22

Comparing different radar-raingauge precipitation merging methods for Tuscany region

EGU General Assembly Conference Abstracts

Rossano Ciampalini

Andrea Antonini

Alessandro Mazza

Samantha Melani

Alberto Ortolani

...

2023/5

Advanced technologies for landslides—ATLaS (WCoE 2020–2023)

Nicola Casagli

Veronica Tofani

Sandro Moretti

Riccardo Fanti

Giovanni Gigli

...

2023/1/11

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

Frontiers in Earth Science

Nicola Nocentini

Ascanio Rosi

Samuele Segoni

Riccardo Fanti

2023/4/13

See List of Professors in Samuele Segoni University(Università degli Studi di Firenze)