2026 Raffaela Mirandola: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	38	7889	7607	290	286	252	10395

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

7889

7607

290

286

252

10395

Engineering and Technology

D-Index

Citations

10395

World Ranking

7889

National Ranking

290

Overview

Raffaela Mirandola is affiliated with the Polytechnic University of Milan in Italy. Their research focuses primarily on the field of Computer Science, with substantial contributions in subfields such as Artificial Intelligence, Computer Networks and Communications, Information Systems, Software, and Surgery.

The main topics addressed in their work include:

Advanced Software Engineering Methodologies
Software System Performance and Reliability
Software Reliability and Analysis Research
Service-Oriented Architecture and Web Services
Software Engineering Research
Healthcare Technology and Patient Monitoring
Safety Systems Engineering in Autonomy

Frequent publication venues for Mirandola's research include:

ACM Transactions on Autonomous and Adaptive Systems
Journal of Systems and Software
arXiv (Cornell University)
Computing
Zenodo (CERN European Organization for Nuclear Research)

Among the recent research papers associated with Mirandola are:

"Uncertainty in Self-adaptive Systems: A Research Community Perspective", 2020, ACM Transactions on Autonomous and Adaptive Systems
"A conceptual framework for resilience: fundamental definitions, strategies and metrics", 2020, Computing
"Decentralized learning for self-adaptive QoS-aware service assembly", 2020, Future Generation Computer Systems
"MSL: A pattern language for engineering self-adaptive systems", 2020, Journal of Systems and Software
"Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive Systems", 2023, ACM SIGSOFT Software Engineering Notes

Raffaela Mirandola has collaborated frequently with a number of co-authors, including:

Patrizia Scandurra (15 publications)
Matteo Camilli (13 publications)
Danny Weyns (8 publications)
Radu Călinescu (8 publications)
Diego Pérez-Palacín (7 publications)

In addition to journal and conference papers, Mirandola has contributed to books published by Springer Science+Business Media. Their book publications include:

"Software Architecture", 2021
"Software Architecture", 2022
"Service-Oriented Computing - ICSOC 2022 Workshops", 2023

Best Publications

Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

Rogério de Lemos;Holger Giese;Hausi A. Müller;Mary Shaw

2250
Citations
Software Engineering for Self-Adaptive Systems: A Research Roadmap

Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

1381
Citations
Dynamic QoS Management and Optimization in Service-Based Systems

R Calinescu;L Grunske;M Kwiatkowska;R Mirandola

505
Citations
On Patterns for Decentralized Control in Self-Adaptive Systems

Danny Weyns;Bradley R. Schmerl;Vincenzo Grassi;Sam Malek

459
Citations
Model evolution by run-time parameter adaptation

Ilenia Epifani;Carlo Ghezzi;Raffaela Mirandola;Giordano Tamburrelli

359
Citations
Self-adaptive software needs quantitative verification at runtime

Radu Calinescu;Carlo Ghezzi;Marta Kwiatkowska;Raffaela Mirandola

354
Citations
MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems

V. Cardellini;E. Casalicchio;V. Grassi;S. Iannucci

241
Citations
Deriving a queueing network based performance model from UML diagrams

Vittorio Cortellessa;Raffaela Mirandola

233
Citations
The Common Component Modeling Example: Comparing Software Component Models

Andreas Rausch;Ralf Reussner;Raffaela Mirandola;František Plášil

205
Citations
Qos-driven runtime adaptation of service oriented architectures

Valeria Cardellini;Emiliano Casalicchio;Vincenzo Grassi;Francesco Lo Presti

184
Citations
PRIMA-UML: a performance validation incremental methodology on early UML diagrams

Vittorio Cortellessa;Raffaela Mirandola

162
Citations
Performance Prediction of Component-Based Systems A Survey from an Engineering Perspective

Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage

158
Citations
Uncertainties in the modeling of self-adaptive systems: a taxonomy and an example of availability evaluation

Diego Perez-Palacin;Raffaela Mirandola

151
Citations
CoCoME - The Common Component Modeling Example

Sebastian Herold;Holger Klus;Yannick Welsch;Constanze Deiters

139
Citations
Filling the gap between design and performance/reliability models of component-based systems

Vincenzo Grassi;Raffaela Mirandola;Antonino Sabetta

135
Citations
Performance prediction of component-based systems

Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage

132
Citations
Quality Prediction of Service Compositions through Probabilistic Model Checking

Stefano Gallotti;Carlo Ghezzi;Raffaela Mirandola;Giordano Tamburrelli

128
Citations
CB-SPE Tool: Putting Component-Based Performance Engineering into Practice

Antonia Bertolino;Raffaela Mirandola

123
Citations
Software engineering for self-adaptive systems: research challenges in the provision of assurances

Rogério de Lemos;David Garlan;Carlo Ghezzi;Holger Giese

121
Citations
From design to analysis models: a kernel language for performance and reliability analysis of component-based systems

Vincenzo Grassi;Raffaela Mirandola;Antonino Sabetta

118
Citations