2026 Fabrizio Maria Maggi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	49	5876	5709	134	132	226	9837

Overview

Fabrizio Maria Maggi is affiliated with the Free University of Bozen-Bolzano in Italy. Their research spans several areas within computer science and business management, focusing extensively on process modeling, information systems, and related computational methods.

The main fields of study for Fabrizio Maria Maggi include:

Computer Science
Business, Management and Accounting

The scientist's work is further specialized in subfields such as:

Management Information Systems
Artificial Intelligence
Information Systems
Computational Theory and Mathematics
Industrial and Manufacturing Engineering

Maggi's research mainly covers these topics:

Business Process Modeling and Analysis
Service-Oriented Architecture and Web Services
Semantic Web and Ontologies
Data Quality and Management
Petri Nets in System Modeling
Formal Methods in Verification
Software System Performance and Reliability

The scientist has frequently published in venues such as:

arXiv (Cornell University)
Information Systems
SSRN Electronic Journal
Process Science
Business & Information Systems Engineering

Some notable recent papers include:

"Robotic Process Mining: Vision and Challenges" (2020) published in Business & Information Systems Engineering
"Fire now, fire later: alarm-based systems for prescriptive process monitoring" (2021) in Knowledge and Information Systems
"Encoding resource experience for predictive process monitoring" (2021) in Decision Support Systems
"How do I update my model? On the resilience of Predictive Process Monitoring models to change" (2022) in Knowledge and Information Systems
"Probabilistic Trace Alignment" (2021) in BOA (University of Milano-Bicocca)

Fabrizio Maria Maggi often collaborates with other researchers, including:

Marco Montali
Chiara Di Francescomarino
Chiara Ghidini
Ivan Donadello
Fabio Patrizi

Books published with Springer Science+Business Media featuring Fabrizio Maria Maggi are:

"Enterprise Design, Operations, and Computing" (2022)
"Enterprise Design, Operations, and Computing. EDOC 2022 Workshops" (2023)

Best Publications

Process Mining Manifesto

Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

1683
Citations
Automated Discovery of Process Models from Event Logs: Review and Benchmark

Adriano Augusto;Raffaele Conforti;Marlon Dumas;Marcello La Rosa

392
Citations
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Irene Teinemaa;Marlon Dumas;Marcello La Rosa;Fabrizio Maria Maggi

368
Citations
Predictive Monitoring of Business Processes

Fabrizio Maria Maggi;Chiara Di Francescomarino;Marlon Dumas;Chiara Ghidini

336
Citations
Monitoring business constraints with linear temporal logic: an approach based on colored automata

Fabrizio Maria Maggi;Marco Montali;Michael Westergaard;Wil M. P. Van Der Aalst

262
Citations
Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes

Anna Leontjeva;Raffaele Conforti;Chiara Francescomarino;Marlon Dumas

217
Citations
User-guided discovery of declarative process models

Fabrizio M. Maggi;Arjan J. Mooij;Wil M.P. van der Aalst

212
Citations
Compliance monitoring in business processes

Linh Thao Ly;Fabrizio Maria Maggi;Marco Montali;Stefanie Rinderle-Ma

211
Citations
Conformance checking based on multi-perspective declarative process models

Andrea Burattin;Fabrizio M. Maggi;Alessandro Sperduti

200
Citations
Declarative process mining in healthcare

Marcella Rovani;Fabrizio M. Maggi;Massimiliano de Leoni;Wil M.P. van der Aalst

183
Citations
Clustering-Based Predictive Process Monitoring

Chiara Di Francescomarino;Marlon Dumas;Fabrizio Maria Maggi;Irene Teinemaa

181
Citations
Predictive Process Monitoring Methods: Which One Suits Me Best?

Chiara Di Francescomarino;Chiara Ghidini;Fabrizio Maria Maggi;Fredrik Milani

177
Citations
Efficient discovery of understandable declarative process models from event logs

Fabrizio M. Maggi;R. P. Jagadeesh Chandra Bose;Wil M. P. van der Aalst

174
Citations
Smart technologies for long-term stress monitoring at work

Rafal Kocielnik;Natalia Sidorova;Fabrizio Maria Maggi;Martin Ouwerkerk

164
Citations
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring

Ilya Verenich;Marlon Dumas;Marcello La Rosa;Fabrizio Maria Maggi

147
Citations
Monitoring business constraints with the event calculus

Marco Montali;Fabrizio M. Maggi;Federico Chesani;Paola Mello

144
Citations
Genetic algorithms for hyperparameter optimization in predictive business process monitoring

Chiara Di Francescomarino;Marlon Dumas;Marco Federici;Chiara Ghidini

125
Citations
Aligning event logs and declarative process models for conformance checking

Massimiliano de Leoni;Fabrizio Maria Maggi;Wil M. P. van der Aalst

122
Citations
An alignment-based framework to check the conformance of declarative process models and to preprocess event-log data

Massimiliano de Leoni;Fabrizio M. Maggi;Wil M.P. van der Aalst

120
Citations
Robotic Process Mining: Vision and Challenges

Volodymyr Leno;Artem Polyvyanyy;Marlon Dumas;Marcello La Rosa

117
Citations
Declarative process mining in healthcare

M. Rovani;F.M. Maggi;M. de Leoni;W.M.P. van der Aalst

0
Citations

Frequent Co-Authors

Marlon Dumas University of Tartu

Marco Montali Free University of Bozen-Bolzano

Marcello La Rosa University of Melbourne

Wil M. P. van der Aalst RWTH Aachen University

Claudio Di Ciccio Utrecht University

Jan Mendling Humboldt-Universität zu Berlin

Artem Polyvyanyy University of Melbourne

Massimiliano de Leoni University of Padua

Giuseppe De Giacomo Sapienza University of Rome

Diego Calvanese Free University of Bozen-Bolzano

External Links

Personal website of Fabrizio Maria Maggi Google Scholar page

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