Antonio Padovano

About Antonio Padovano

Antonio Padovano, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at Università della Calabria, specializes in the field of Industrial Engineering, Modeling & Simulation, Human Behavior Modeling, Logistics & Supply Chain.

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

Digital twin and digital thread within the product lifecycle management

Exploring Human-Centricity in Industry 5.0: Empirical Insights from a Social Media Discourse

Improving safety management in railway stations through a simulation-based digital twin approach

Reduction of variability in a smart shop floor using discrete event simulation

A Digital Twin-Based Approach for Emotion Recognition in Human-Robot Collaboration

From “prepare for the unknown” to “train for what's coming”: a digital twin-driven and cognitive training approach for the workforce of the future in smart factories

Shaping the role of the digital twins for human‐robot dyad: Connotations, scenarios, and future perspectives

How Cognitive Capabilities for Smart Operator enhance Human-Robot Collaboration

Antonio Padovano Information

University

Position

DIMEG

Citations(all)

2204

Citations(since 2020)

2139

Cited By

492

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

27

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Antonio Padovano Skills & Research Interests

Industrial Engineering

Modeling & Simulation

Human Behavior Modeling

Logistics & Supply Chain

Top articles of Antonio Padovano

Digital twin and digital thread within the product lifecycle management

Procedia Computer Science

2024/1/1

Antonio Padovano
Antonio Padovano

H-Index: 9

Exploring Human-Centricity in Industry 5.0: Empirical Insights from a Social Media Discourse

Procedia Computer Science

2024/1/1

Improving safety management in railway stations through a simulation-based digital twin approach

Computers & Industrial Engineering

2024/1/1

Antonio Padovano
Antonio Padovano

H-Index: 9

Francesco Longo
Francesco Longo

H-Index: 11

Reduction of variability in a smart shop floor using discrete event simulation

The International Journal of Advanced Manufacturing Technology

2023/9

A Digital Twin-Based Approach for Emotion Recognition in Human-Robot Collaboration

2023/6/22

From “prepare for the unknown” to “train for what's coming”: a digital twin-driven and cognitive training approach for the workforce of the future in smart factories

Journal of Industrial Information Integration

2023/4/1

Shaping the role of the digital twins for human‐robot dyad: Connotations, scenarios, and future perspectives

2023/3

How Cognitive Capabilities for Smart Operator enhance Human-Robot Collaboration

2023

A Comparative Study of Genetic Algorithms for Integrated Predictive Maintenance and Job Shop Scheduling

2023

Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review

2023/1/1

The Digital Supply Chain Twin paradigm for enhancing resilience and sustainability against COVID-like crises

Procedia Computer Science

2023/1/1

Empowering field operators in manufacturing: a prospective towards industry 5.0

Procedia Computer Science

2023/1/1

Francesco Longo
Francesco Longo

H-Index: 11

Antonio Padovano
Antonio Padovano

H-Index: 9

Human ergonomic simulation to support the design of an exoskeleton for lashing/de-lashing operations of containers cargo

Procedia Computer Science

2022/1/1

A cognitive digital twins framework for human-robot collaboration

Procedia Computer Science

2022/1/1

Applications of ML/AI for decision-intensive tasks in production planning and control

Procedia Computer Science

2022/1/1

New perspectives and results for Smart Operators in industry 4.0: A human-centered approach

Computers & Industrial Engineering

2022/1/1

Francesco Longo
Francesco Longo

H-Index: 11

Antonio Padovano
Antonio Padovano

H-Index: 9

Distributed Simulation for Digital Twins: an Application to Support the Autonomous Robotics for the Extended Ship

2022/9/26

Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic

Computers & Industrial Engineering

2022/7/1

Learning Factories: a review of state of the art and development of a morphological model for an Industrial Engineering Education 4.0

2022/6/14

Francesco Longo
Francesco Longo

H-Index: 11

Antonio Padovano
Antonio Padovano

H-Index: 9

Proposal of a multidimensional risk assessment methodolgy to assess ageing workforce in a manufacturing industry: A pilot case study

Safety science

2022/5/1

See List of Professors in Antonio Padovano University(Università della Calabria)