Marcello Urgo

1.3k total citations
69 papers, 921 citations indexed

About

Marcello Urgo is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Science and Operations Research. According to data from OpenAlex, Marcello Urgo has authored 69 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Industrial and Manufacturing Engineering, 21 papers in Management of Technology and Innovation and 11 papers in Management Science and Operations Research. Recurrent topics in Marcello Urgo's work include Manufacturing Process and Optimization (31 papers), Scheduling and Optimization Algorithms (27 papers) and Flexible and Reconfigurable Manufacturing Systems (26 papers). Marcello Urgo is often cited by papers focused on Manufacturing Process and Optimization (31 papers), Scheduling and Optimization Algorithms (27 papers) and Flexible and Reconfigurable Manufacturing Systems (26 papers). Marcello Urgo collaborates with scholars based in Italy, Hungary and Germany. Marcello Urgo's co-authors include Tullio Tolio, Walter Terkaj, Arianna Alfieri, József Váncza, Marcello Colledani, Marco Sacco, Hermes Giberti, Giorgio Colombo, László Monostori and Giacomo Copani and has published in prestigious journals such as International Journal of Production Research, CIRP Annals and Omega.

In The Last Decade

Marcello Urgo

64 papers receiving 856 citations

Peers

Marcello Urgo

IME

MTI

MIS

MSOR

Jochen Deuse Germany

Josip Stjepandić Italy

Xavier Delorme France

José Ríos Spain

Peter Burggräf Germany

Michael Abramovici Germany

Mahmoud Houshmand Iran

M. Doukas Greece

Farouk Belkadi France

Yongliang Luo China

Jochen Deuse Germany

Marcello Urgo

687 ×1.0

IME

87 ×0.6

MTI

194 ×1.6

MIS

71 ×0.6

MSOR

93 ×1.6

Citations per year, relative to Marcello Urgo Marcello Urgo (= 1×) peers Jochen Deuse

Countries citing papers authored by Marcello Urgo

Since Specialization

Citations

This map shows the geographic impact of Marcello Urgo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcello Urgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Urgo more than expected).

Fields of papers citing papers by Marcello Urgo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcello Urgo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcello Urgo. The network helps show where Marcello Urgo may publish in the future.

Co-authorship network of co-authors of Marcello Urgo

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Urgo. A scholar is included among the top collaborators of Marcello Urgo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcello Urgo. Marcello Urgo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Urgo, Marcello, et al.. (2025). Towards digital twin-enhanced control policies: A knowledge-based classification of release and dispatching policies in manufacturing systems. CIRP journal of manufacturing science and technology. 63. 310–335.

Urgo, Marcello & Walter Terkaj. (2025). Integrating digital factory twin and AI for monitoring manufacturing systems through synthetic data generation and vision transformers. CIRP Annals. 74(1). 639–643.

Colombo, Giorgio, et al.. (2025). Physics-based simulation framework for Digital Twin applications: Machine parameter tuning for handling of lumber in the wood industry. Robotics and Computer-Integrated Manufacturing. 98. 103144–103144. 1 indexed citations

Urgo, Marcello, et al.. (2024). Monitoring manufacturing systems using AI: A method based on a digital factory twin to train CNNs on synthetic data. CIRP journal of manufacturing science and technology. 50. 249–268. 15 indexed citations

Terkaj, Walter, et al.. (2024). A framework for virtual learning in industrial engineering education: development of a reconfigurable virtual learning factory application. Virtual Reality. 28(3). 4 indexed citations

Colombo, Giorgio, et al.. (2022). A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering. Journal of Manufacturing Systems. 63. 411–423. 12 indexed citations

Terkaj, Walter, Qunfen Qi, Marcello Urgo, Paul J. Scott, & Xiangqian Jiang. (2021). Multi-scale modelling of manufacturing systems using ontologies and delta-lenses. CIRP Annals. 70(1). 361–364. 11 indexed citations

Horváth, András, et al.. (2021). A Kronecker Algebra Formulation for Markov Activity Networks with Phase-Type Distributions. Mathematics. 9(12). 1404–1404. 6 indexed citations

Mahmood, Kashif, Tauno Otto, Vladimir Kuts, et al.. (2021). Advancement in production engineering education through Virtual Learning Factory Toolkit concept. Proceedings of the Estonian Academy of Sciences. 70(4). 374–382. 12 indexed citations

10.

Demeulemeester, Erik, et al.. (2021). A predictive–reactive approach for the sequencing of assembly operations in an automated assembly line. Robotics and Computer-Integrated Manufacturing. 73. 102201–102201. 9 indexed citations

11.

Urgo, Marcello, Walter Terkaj, Marta Mondellini, & Giorgio Colombo. (2021). Design of serious games in engineering education: An application to the configuration and analysis of manufacturing systems. CIRP journal of manufacturing science and technology. 36. 172–184. 30 indexed citations

12.

Urgo, Marcello & Walter Terkaj. (2020). Formal modelling of release control policies as a plug-in for performance evaluation of manufacturing systems. CIRP Annals. 69(1). 377–380. 15 indexed citations

13.

Gładysz, Bartłomiej, Marcello Urgo, Tim Stock, et al.. (2020). Sustainable engineering master module – insights from three cohorts of European engineering team. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4(2/3/4). 413–413. 5 indexed citations

14.

Terkaj, Walter, et al.. (2019). A digital factory platform for the design of roll shop plants. CIRP journal of manufacturing science and technology. 26. 88–93. 28 indexed citations

15.

Urgo, Marcello, et al.. (2018). Robust assignment of customer orders with uncertain configurations in a production network for aircraft manufacturing. International Journal of Production Research. 57(3). 749–763. 11 indexed citations

16.

Terkaj, Walter, Tullio Tolio, & Marcello Urgo. (2015). A virtual factory approach for in situ simulation to support production and maintenance planning. CIRP Annals. 64(1). 451–454. 78 indexed citations

17.

Tolio, Tullio & Marcello Urgo. (2013). Design of flexible transfer lines: A case-based reconfiguration cost assessment. Journal of Manufacturing Systems. 32(2). 325–334. 28 indexed citations

18.

Terkaj, Walter, et al.. (2012). Modeling and simulation of production systems supported by a virtual factory framework. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations

19.

Tolio, Tullio & Marcello Urgo. (2007). A Rolling Horizon Approach to Plan Outsourcing in Manufacturing-to-Order Environments Affected by Uncertainty. CIRP Annals. 56(1). 487–490. 30 indexed citations

20.

Tolio, Tullio & Marcello Urgo. (2007). Planning of machining centres production: the role of precedence modelling. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 143–144. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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