Michela Gelfusa

About Michela Gelfusa

Michela Gelfusa, With an exceptional h-index of 25 and a recent h-index of 19 (since 2020), a distinguished researcher at Università degli Studi di Roma Tor Vergata, specializes in the field of Lidar, fusione nucleare, data mining.

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

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

A hybrid physics/data-driven logic to detect, classify, and predict anomalies and disruptions in tokamak plasmas

Nuclear analyses for the integration of ITER equatorial Port 2

Thermo-Hydraulic Design of the First Wall of the DTT Facility

Causality Detection and Quantification by Ensembles of Time Delay Neural Networks for Application to Nuclear Fusion Reactors

On the Potential of Relational Databases for the Detection of Clusters of Infection and Antibiotic Resistance Patterns

Comparison of a fast low spatial resolution inversion method and peaking factors for the detection of anomalous radiation patterns and disruption prediction

A practical utility-based but objective approach to model selection for regression in scientific applications

Michela Gelfusa Information

University

Position

___

Citations(all)

2643

Citations(since 2020)

1567

Cited By

1636

hIndex(all)

25

hIndex(since 2020)

19

i10Index(all)

83

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Michela Gelfusa Skills & Research Interests

Lidar

fusione nucleare

data mining

Top articles of Michela Gelfusa

Title

Journal

Author(s)

Publication Date

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors

Michela Gelfusa

Andrea Murari

Riccardo Rossi

Teddy Craciunescu

Jesus Vega

2023/11/23

A hybrid physics/data-driven logic to detect, classify, and predict anomalies and disruptions in tokamak plasmas

Nuclear Fusion

Riccardo Rossi

Michela Gelfusa

Teddy Craciunescu

Ivan Wyss

Jesus Vega

...

2024/2/7

Nuclear analyses for the integration of ITER equatorial Port 2

Fusion Engineering and Design

S Noce

R Villari

A Colangeli

D Flammini

N Fonnesu

...

2024/5/1

Thermo-Hydraulic Design of the First Wall of the DTT Facility

IEEE Transactions on Plasma Science

G De Sano

R De Luca

G Dose

M Furno Palumbo

M Gelfusa

...

2024/4/11

Causality Detection and Quantification by Ensembles of Time Delay Neural Networks for Application to Nuclear Fusion Reactors

Journal of Fusion Energy

Michela Gelfusa

Riccardo Rossi

Andrea Murari

2024/4/3

On the Potential of Relational Databases for the Detection of Clusters of Infection and Antibiotic Resistance Patterns

Antibiotics

Michela Gelfusa

Andrea Murari

Gian Marco Ludovici

Cristiano Franchi

Claudio Gelfusa

...

2023/4/19

Comparison of a fast low spatial resolution inversion method and peaking factors for the detection of anomalous radiation patterns and disruption prediction

Fusion Engineering and Design

Ivan Wyss

Andrea Murari

Luca Spolladore

Emmanuele Peluso

Michela Gelfusa

...

2023/8/1

A practical utility-based but objective approach to model selection for regression in scientific applications

Andrea Murari

Riccardo Rossi

Luca Spolladore

Michele Lungaroni

Pasquale Gaudio

...

2023/1/10

Neutronics Assessment of the Spatial Distributions of the Nuclear Loads on the DEMO Divertor ITER-like Targets: Comparison between the WCLL and HCPB Blanket

Applied Sciences

Simone Noce

Davide Flammini

Pasqualino Gaudio

Michela Gelfusa

Giuseppe Mazzone

...

2023/1

A systematic investigation of radiation collapse for disruption avoidance and prevention on JET tokamak

Matter and Radiation at Extremes

R Rossi

M Gelfusa

T Craciunescu

L Spolladore

I Wyss

...

2023/7/1

Effects of environmental conditions on COVID-19 morbidity as an example of multicausality: a multi-city case study in Italy

Frontiers in Public Health

Andrea Murari

Michela Gelfusa

Teddy Craciunescu

Claudio Gelfusa

Pasquale Gaudio

...

2023/10/25

Thermo-hydraulic design of the First Wall modules of the DTT facility

G De Sano

R De Luca

G Dose

M Furno Palumbo

M Gelfusa

...

2023

Combining neural computation and genetic programming for observational causality detection and causal modelling

Artificial Intelligence Review

Andrea Murari

Riccardo Rossi

Michela Gelfusa

2023/7

Upgrades of Genetic Programming for Data-Driven Modeling of Time Series

Evolutionary Computation

A Murari

E Peluso

L Spolladore

R Rossi

M Gelfusa

2023/12/1

The JET hybrid scenario in Deuterium, Tritium and Deuterium-Tritium

Nuclear Fusion

Joerg Hobirk

CD Challis

A Kappatou

E Lerche

D Keeling

...

2023/10/12

Information theoretic and neural computational tools for meta-analysis of cumulative databases in the age of Big Physics experiments

Neural Computing and Applications

Andrea Murari

Michele Lungaroni

Luca Spolladore

Emmanuele Peluso

Riccardo Rossi

...

2023/1

New Challenges in Nuclear Fusion Reactors: From Data Analysis to Materials and Manufacturing

Emmanuele Peluso

Ekaterina Pakhomova

Michela Gelfusa

2023/5/19

Maximum likelihood bolometry for ASDEX upgrade experiments

Physica Scripta

Teddy Craciunescu

Emmanuele Peluso

Andrea Murari

Matthias Bernert

Michela Gelfusa

...

2023/11/9

Combining dimensional and statistical analysis for efficient data driven modelling of complex systems

Information Sciences

A Murari

L Spolladore

R Rossi

M Gelfusa

2023/10/1

Detection of MARFEs using visible cameras for disruption prevention

Fusion Engineering and Design

L Spolladore

R Rossi

I Wyss

P Gaudio

A Murari

...

2023/5/1

See List of Professors in Michela Gelfusa University(Università degli Studi di Roma Tor Vergata)