Cláudio Ângelo Gonçalves Gomes

Cláudio Ângelo Gonçalves Gomes

Aarhus Universitet

H-index: 18

Europe-Denmark

About Cláudio Ângelo Gonçalves Gomes

Cláudio Ângelo Gonçalves Gomes, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of Co-simulation, Formal Methods, Model Driven Development, Hybrid Systems, Simulation.

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

Co-simulation at different levels of expertise with Maestro2

Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems

Survey on open‐source digital twin frameworks–A case study approach

Addressing time discrepancy between digital and physical twins

Examining model qualities and their impact on digital twins

A review of unit level digital twin applications in the manufacturing industry

Constructing neural network based models for simulating dynamical systems

Synthesizing Orchestration Algorithms for FMI 3.0

Cláudio Ângelo Gonçalves Gomes Information

University

Position

___

Citations(all)

1582

Citations(since 2020)

1372

Cited By

668

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

37

i10Index(since 2020)

31

Email

University Profile Page

Aarhus Universitet

Google Scholar

View Google Scholar Profile

Cláudio Ângelo Gonçalves Gomes Skills & Research Interests

Co-simulation

Formal Methods

Model Driven Development

Hybrid Systems

Simulation

Top articles of Cláudio Ângelo Gonçalves Gomes

Title

Journal

Author(s)

Publication Date

Co-simulation at different levels of expertise with Maestro2

Journal of Systems and Software

Simon Thrane Hansen

Casper Thule

Cláudio Gomes

Kenneth Guldbrandt Lausdahl

Frederik Palludan Madsen

...

2024/3/1

Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems

arXiv preprint arXiv:2402.10535

Julien Deantoni

Paula Muñoz

Cláudio Gomes

Clark Verbrugge

Rakshit Mittal

...

2024/2/16

Survey on open‐source digital twin frameworks–A case study approach

Software: Practice and Experience

Santiago Gil

Peter H Mikkelsen

Cláudio Gomes

Peter G Larsen

2024/1/6

Addressing time discrepancy between digital and physical twins

Robotics and Autonomous Systems

Mirgita Frasheri

Henrik Ejersbo

Casper Thule

Cláudio Gomes

Jakob Levisen Kvistgaard

...

2023/3/1

Examining model qualities and their impact on digital twins

Bentley James Oakes

Cláudio Gomes

Peter Gorm Larsen

Joachim Denil

Julien Deantoni

...

2023/5/23

A review of unit level digital twin applications in the manufacturing industry

Till Böttjer

Daniella Tola

Fatemeh Kakavandi

Christian R Wewer

Devarajan Ramanujan

...

2023/10/1

Constructing neural network based models for simulating dynamical systems

ACM Computing Surveys

Christian Legaard

Thomas Schranz

Gerald Schweiger

Ján Drgoňa

Basak Falay

...

2023/2/9

Synthesizing Orchestration Algorithms for FMI 3.0

Simon Thrane Hansen

Cláudio Gomes

Zahra Kazemi

2023/5/23

Digital twin as a service (DTaaS): a platform for digital twin developers and users

Prasad Talasila

Cláudio Gomes

Peter Høgh Mikkelsen

Santiago Gil Arboleda

Eduard Kamburjan

...

2023/8/28

Infrastructure

The Food-Energy-Water Nexus

Benjamin L Ruddell

Hongkai Gao

Okan Pala

Richard Rushforth

John Sabo

2020

Model-based monitoring and state estimation for digital twins: The Kalman filter

arXiv preprint arXiv:2305.00252

Hao Feng

Cláudio Gomes

Peter Gorm Larsen

2023/4/29

Movable factory—A systematic literature review of concepts, requirements, applications, and gaps

Zahra Kazemi

Jonas Kjaer Rask

Cláudio Gomes

Emre Yildiz

Peter Gorm Larsen

2023/8/1

Co-simulation for buildings and smart energy systems—A taxonomic review

Qamar Alfalouji

Thomas Schranz

Basak Falay

Sandra Wilfling

Johannes Exenberger

...

2023/4/20

Hybrid fire testing using FMI-based co-simulation

Fire Safety Journal

G Abbiati

EE Baş

C Gomes

PG Larsen

2023/8/1

Towards developing a digital twin for a manufacturing pilot line: An industrial case study

Fatemeh Kakavandi

Cláudio Gomes

Roger de Reus

Jeppe Badstue

Jakob Langdal Jensen

...

2023/4/9

Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms

Farshid Naseri

S Gil

Corneliu Barbu

Erdal Çetkin

G Yarimca

...

2023/6/1

118.8: Understanding pancreas-machine interactions during preservation: A mathematical approach

Transplantation

Aaron John Buhagiar

Rikke Fanøe Christensen

Peter Gorm Larsen

Leo Freitas

William E Scott III

...

2023/10/1

Towards easy robot system integration: Challenges and future directions

Daniella Tola

Emil Madsen

Cláudio Gomes

Lukas Esterle

Christian Schlette

...

2022/1/9

Formally verified self-adaptation of an incubator digital twin

Thomas Wright

Cláudio Gomes

Jim Woodcock

2022/10/17

Data-driven identification of remaining useful life for plastic injection moulds

Till Böttjer

Georg Ørnskov Rønsch

Cláudio Gomes

Devarajan Ramanujan

Alexandros Iosifidis

...

2022

See List of Professors in Cláudio Ângelo Gonçalves Gomes University(Aarhus Universitet)

Co-Authors

H-index: 43
Alexandros Iosifidis

Alexandros Iosifidis

Aarhus Universitet

H-index: 39
Peter Gorm Larsen

Peter Gorm Larsen

Aarhus Universitet

H-index: 29
Vasco Amaral

Vasco Amaral

Universidade Nova de Lisboa

H-index: 28
David Broman

David Broman

Kungliga Tekniska högskolan

H-index: 27
Alfred Posch

Alfred Posch

Karl-Franzens-Universität Graz

H-index: 21
Lukas Esterle

Lukas Esterle

Aarhus Universitet

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