Roberto Pinto

3.7k total citations
97 papers, 2.4k citations indexed

About

Roberto Pinto is a scholar working on Industrial and Manufacturing Engineering, Marketing and Management Information Systems. According to data from OpenAlex, Roberto Pinto has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Industrial and Manufacturing Engineering, 29 papers in Marketing and 25 papers in Management Information Systems. Recurrent topics in Roberto Pinto's work include Digital Transformation in Industry (23 papers), Service and Product Innovation (19 papers) and Urban and Freight Transport Logistics (16 papers). Roberto Pinto is often cited by papers focused on Digital Transformation in Industry (23 papers), Service and Product Innovation (19 papers) and Urban and Freight Transport Logistics (16 papers). Roberto Pinto collaborates with scholars based in Italy, Mexico and United States. Roberto Pinto's co-authors include Alexandra Lagorio, Fabiana Pirola, Chiara Cimini, Sergio Cavalieri, Ruggero Golini, Giuditta Pezzotta, Barbara Resta, Paolo Gaiardelli, Paolo Maccarrone and Tobias Mettler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Roberto Pinto

90 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Pinto 1.1k 614 581 452 392 97 2.4k
Denis Borenstein 1.1k 1.0× 336 0.5× 417 0.7× 352 0.8× 205 0.5× 87 2.9k
Yeming Gong 1.1k 1.0× 795 1.3× 1.1k 1.9× 878 1.9× 373 1.0× 150 3.8k
Shenle Pan 858 0.8× 225 0.4× 582 1.0× 435 1.0× 574 1.5× 46 1.8k
Alok Choudhary 829 0.8× 213 0.3× 1.1k 1.9× 730 1.6× 190 0.5× 73 2.8k
Alessandro Persona 2.0k 1.8× 244 0.4× 947 1.6× 904 2.0× 418 1.1× 122 3.7k
Sara Perotti 804 0.8× 770 1.3× 1.0k 1.7× 522 1.2× 689 1.8× 60 2.2k
Zongwei Luo 652 0.6× 513 0.8× 1.4k 2.4× 1.3k 2.9× 152 0.4× 131 4.1k
Miying Yang 684 0.6× 1.1k 1.8× 1.6k 2.7× 284 0.6× 142 0.4× 35 2.7k
Yaşanur Kayıkçı 690 0.6× 424 0.7× 1.3k 2.2× 635 1.4× 168 0.4× 56 2.5k
Fuli Zhou 489 0.5× 268 0.4× 591 1.0× 270 0.6× 281 0.7× 80 2.0k

Countries citing papers authored by Roberto Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Pinto. A scholar is included among the top collaborators of Roberto Pinto 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 Roberto Pinto. Roberto Pinto 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.
Pinto, Roberto, et al.. (2025). A Preliminary multidimensional AI readiness assessment model for SME’s. Procedia Computer Science. 253. 774–783. 3 indexed citations
2.
Garay-Rondero, Claudia Lizette, et al.. (2025). A reference framework for Supplier 4.0 development programs: a Delphi study. International Journal of Logistics Research and Applications. 29(3). 343–374.
3.
Garay-Rondero, Claudia Lizette, et al.. (2024). Suppliers 4.0 digital capabilities development in support of digital supply chains: a scoping review. International Journal of Logistics Research and Applications. 28(12). 1691–1718. 2 indexed citations
4.
Lagorio, Alexandra, et al.. (2024). The role of information visibility on healthcare resource network performance: an agent-based simulation approach. Journal of the Operational Research Society. 76(5). 1019–1033. 1 indexed citations
5.
Lagorio, Alexandra, et al.. (2024). Challenges in Healthcare Supply Chain Resilience Management : A Conceptual Framework. IFAC-PapersOnLine. 58(19). 1126–1131.
6.
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
7.
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
8.
Lagorio, Alexandra, Valentina Di Pasquale, Chiara Cimini, Salvatore Miranda, & Roberto Pinto. (2022). Augmented Reality in Logistics 4.0: implications for the human work. IFAC-PapersOnLine. 55(10). 329–334. 7 indexed citations
9.
Lagorio, Alexandra, Chiara Cimini, Fabiana Pirola, & Roberto Pinto. (2021). A task-based and HF-based reference framework for digital technologies choice and adoption. IFAC-PapersOnLine. 54(1). 25–30. 4 indexed citations
10.
Adrodegari, Federico, et al.. (2021). From data to value: conceptualising data-driven product service system. Production Planning & Control. 34(2). 207–223. 25 indexed citations
11.
Lagorio, Alexandra, Giovanni Zenezini, Giulio Mangano, & Roberto Pinto. (2020). A systematic literature review of innovative technologies adopted in logistics management. International Journal of Logistics Research and Applications. 25(7). 1043–1066. 75 indexed citations
12.
Lagorio, Alexandra & Roberto Pinto. (2020). The parcel locker location issues: An overview of factors affecting their location. Aisberg (University of Bergamo). 414–421. 25 indexed citations
13.
Cimini, Chiara, Fabiana Pirola, Roberto Pinto, & Sergio Cavalieri. (2020). A human-in-the-loop manufacturing control architecture for the next generation of production systems. Journal of Manufacturing Systems. 54. 258–271. 156 indexed citations
14.
Lagorio, Alexandra, Jesús González-Feliu, & Roberto Pinto. (2018). Urban freight demand estimation: A probability distribution based method. Aisberg (University of Bergamo). 2 indexed citations
15.
Mettler, Tobias & Roberto Pinto. (2018). Evolutionary paths and influencing factors towards digital maturity: An analysis of the status quo in Swiss hospitals. Technological Forecasting and Social Change. 133. 104–117. 42 indexed citations
16.
Lagorio, Alexandra, Roberto Pinto, & Ruggero Golini. (2015). Urban freight transport in an Italian mid-sized city: the Bergamo case from inception to stakeholders' involvement. Aisberg (University of Bergamo). 2 indexed citations
17.
Pinto, Roberto, et al.. (2010). NEURAL NETWORK AS AN EFFICIENT DIAGNOSTICS TOOL: A CASE STUDY IN A TEXTILE COMPANY. IFAC Proceedings Volumes. 43(3). 122–127. 4 indexed citations
18.
Martinez, Veronica, et al.. (2009). Inflow Performance Relationships for Heavy Oil. All Days. 4 indexed citations
19.
Cavalieri, Sergio, et al.. (2008). A decision-making framework for managing maintenance spare parts. Production Planning & Control. 19(4). 379–396. 101 indexed citations
20.
Ilie‐Zudor, Elisabeth, Roberto Pinto, Marco Macchi, & László Monostori. (2005). eSCM: Education on Supply-Chain Management on Graduate Level and within Corporations. AEE Journal. 2(2). 66–73. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026