Sergio Cavalieri

3.8k total citations
117 papers, 2.4k citations indexed

About

Sergio Cavalieri is a scholar working on Industrial and Manufacturing Engineering, Marketing and Management Information Systems. According to data from OpenAlex, Sergio Cavalieri has authored 117 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Industrial and Manufacturing Engineering, 37 papers in Marketing and 30 papers in Management Information Systems. Recurrent topics in Sergio Cavalieri's work include Service and Product Innovation (34 papers), Scheduling and Optimization Algorithms (20 papers) and Digital Transformation in Industry (17 papers). Sergio Cavalieri is often cited by papers focused on Service and Product Innovation (34 papers), Scheduling and Optimization Algorithms (20 papers) and Digital Transformation in Industry (17 papers). Sergio Cavalieri collaborates with scholars based in Italy, Mexico and Brazil. Sergio Cavalieri's co-authors include Giuditta Pezzotta, Sergio Terzi, Roberto Pinto, Paolo Gaiardelli, Chiara Cimini, Omid Jadidi, Saeed Zolfaghari, Marco Macchi, Maria Caridi and Paolo Maccarrone and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Economics and Sustainability.

In The Last Decade

Sergio Cavalieri

108 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sergio Cavalieri 936 624 611 535 458 117 2.4k
Roberto Pinto 1.1k 1.1× 452 0.7× 614 1.0× 581 1.1× 390 0.9× 97 2.4k
Xinguo Ming 1.1k 1.2× 493 0.8× 858 1.4× 1.1k 2.1× 935 2.0× 160 3.8k
Bart L. MacCarthy 948 1.0× 913 1.5× 254 0.4× 857 1.6× 478 1.0× 86 2.7k
Arijit Bhattacharya 389 0.4× 631 1.0× 344 0.6× 1.2k 2.2× 339 0.7× 60 2.2k
Dominik T. Matt 1.6k 1.8× 630 1.0× 153 0.3× 681 1.3× 583 1.3× 178 3.2k
Alok Choudhary 829 0.9× 730 1.2× 213 0.3× 1.1k 2.1× 196 0.4× 73 2.8k
Ulrich W. Thonemann 561 0.6× 1.6k 2.6× 459 0.8× 944 1.8× 199 0.4× 77 2.5k
Mitchell M. Tseng 1.5k 1.6× 436 0.7× 538 0.9× 538 1.0× 2.5k 5.5× 120 3.8k
Lakshman S. Thakur 509 0.5× 459 0.7× 183 0.3× 672 1.3× 217 0.5× 39 1.7k
Joseph D. Blackburn 751 0.8× 1.8k 2.9× 672 1.1× 1.8k 3.3× 314 0.7× 37 3.2k

Countries citing papers authored by Sergio Cavalieri

Since Specialization
Citations

This map shows the geographic impact of Sergio Cavalieri'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 Sergio Cavalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Cavalieri more than expected).

Fields of papers citing papers by Sergio Cavalieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Cavalieri. 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 Sergio Cavalieri. The network helps show where Sergio Cavalieri may publish in the future.

Co-authorship network of co-authors of Sergio Cavalieri

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Cavalieri. A scholar is included among the top collaborators of Sergio Cavalieri 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 Sergio Cavalieri. Sergio Cavalieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Terzi, Sergio, Marco Garetti, & Sergio Cavalieri. (2026). Using UML for describing a reference framework for benchmarking production scheduling systems. 777–785.
2.
Cimini, Chiara, David Romero, Roberto Pinto, & Sergio Cavalieri. (2023). Task Classification Framework and Job-Task Analysis Method for Understanding the Impact of Smart and Digital Technologies on the Operators 4.0 Job Profiles. Sustainability. 15(5). 3899–3899. 8 indexed citations
3.
Cimini, Chiara, Alexandra Lagorio, Roberto Pinto, et al.. (2023). 5G supporting digital servitization in manufacturing: An exploratory survey. SHILAP Revista de lepidopterología. 5(3). 3 indexed citations
4.
Sala, Roberto, Fabiana Pirola, Giuditta Pezzotta, & Sergio Cavalieri. (2022). NLP-based insights discovery for industrial asset and service improvement: an analysis of maintenance reports. IFAC-PapersOnLine. 55(2). 522–527. 8 indexed citations
5.
Cimini, Chiara & Sergio Cavalieri. (2022). Industrial Smart Working: a socio-technical model for enabling successful implementation. IFAC-PapersOnLine. 55(2). 505–510. 4 indexed citations
6.
Madsen, Ole, Ulrich Berger, & Sergio Cavalieri. (2020). Transforming traditional production systems into smart production systems. VBN Forskningsportal (Aalborg Universitet). 4579–4580. 1 indexed citations
7.
Cavalieri, Sergio, et al.. (2017). Production Systems Flow Modelling Using Decomposition Method and Required Buffers. International Journal of Simulation Modelling. 16(2). 207–218. 11 indexed citations
8.
Gaiardelli, Paolo, Veronica Martinez, & Sergio Cavalieri. (2015). The strategic transition to services: a dominant logic perspective and its implications for operations. Production Planning & Control. 26(14-15). 1165–1170. 19 indexed citations
9.
Jadidi, Omid, Sergio Cavalieri, & Saeed Zolfaghari. (2014). An improved multi-choice goal programming approach for supplier selection problems. Applied Mathematical Modelling. 39(14). 4213–4222. 100 indexed citations
10.
Pezzotta, Giuditta & Sergio Cavalieri. (2010). Product-Service System Engineering. Further evidences from industry. Aisberg (University of Bergamo).
11.
Pezzotta, Giuditta & Sergio Cavalieri. (2010). A methodological approach to engineer a Product-Service System. Aisberg (University of Bergamo). 2 indexed citations
12.
Fumagalli, Luca, et al.. (2010). Assessment of industrial applicability of Electric Signature Analysis as diagnostic and prognostic tool. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1265–1273. 4 indexed citations
13.
Pezzotta, Giuditta, Sergio Cavalieri, & Paolo Gaiardelli. (2009). Product-Service Engineering Process: Theoretical and Empirical Evidences. Aisberg (University of Bergamo). 0–0. 4 indexed citations
14.
Pezzotta, Giuditta, Sergio Cavalieri, & Paolo Gaiardelli. (2008). A framework for an integrated management of After Sales service. Aisberg (University of Bergamo). 1–8. 2 indexed citations
15.
Saccani, Nicola, Sergio Cavalieri, & Paolo Gaiardelli. (2007). Exploring the relationship between After Sales Service Strategies and Design For X Methodologies. 537–546. 2 indexed citations
16.
Cavalieri, Sergio, et al.. (2006). After Sales Processes in the SCOR model: a proposal and an empirical application. Aisberg (University of Bergamo). 3. 25–36. 6 indexed citations
17.
Caridi, Maria, et al.. (2004). Assessing the impact of e-Procurement strategies through the use of business process modelling and simulation techniques. Production Planning & Control. 15(7). 647–661. 9 indexed citations
18.
Tucci, Mario, Sergio Cavalieri, Sergio Terzi, & Romeo Bandinelli. (2004). Experiences in distributed simulation for benchmarking production scheduling systems. 1017–1026. 3 indexed citations
19.
Cavalieri, Sergio, et al.. (1999). A benchmark framework for manufacturing control. Aisberg (University of Bergamo). 225–236. 23 indexed citations
20.
Cavalieri, Sergio & Marco Taisch. (1996). Neural Networks in Hybrid Intelligent Manufacturing Systems. Aisberg (University of Bergamo). 591–596. 4 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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