Giovanni Di Orio

441 total citations
23 papers, 216 citations indexed

About

Giovanni Di Orio is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Giovanni Di Orio has authored 23 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 5 papers in Control and Systems Engineering and 4 papers in Management Information Systems. Recurrent topics in Giovanni Di Orio's work include Flexible and Reconfigurable Manufacturing Systems (14 papers), Digital Transformation in Industry (10 papers) and Manufacturing Process and Optimization (6 papers). Giovanni Di Orio is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (14 papers), Digital Transformation in Industry (10 papers) and Manufacturing Process and Optimization (6 papers). Giovanni Di Orio collaborates with scholars based in Portugal, Germany and Spain. Giovanni Di Orio's co-authors include José Barata, Pedro Maló, Gonçalo Cândido, Michele Albano, Luís Lino Ferreira, André Dionísio Rocha, Luís Ribeiro, Javad Jassbi, Goreti Marreiros and Svetan Ratchev and has published in prestigious journals such as Robotics and Computer-Integrated Manufacturing, International Journal of Advanced Computer Science and Applications and IFIP advances in information and communication technology.

In The Last Decade

Giovanni Di Orio

22 papers receiving 208 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giovanni Di Orio Portugal 9 148 30 28 28 27 23 216
Bojana Bajić Serbia 6 151 1.0× 56 1.9× 59 2.1× 21 0.8× 16 0.6× 11 250
Pedro Maló Portugal 9 72 0.5× 71 2.4× 42 1.5× 26 0.9× 70 2.6× 43 239
Kirill Dorofeev Germany 10 298 2.0× 85 2.8× 25 0.9× 44 1.6× 38 1.4× 19 388
Flávia Pires Portugal 9 200 1.4× 30 1.0× 30 1.1× 17 0.6× 25 0.9× 15 261
Petr Kadera Czechia 10 234 1.6× 48 1.6× 41 1.5× 55 2.0× 24 0.9× 35 326
Frank Schnicke Germany 7 161 1.1× 38 1.3× 28 1.0× 15 0.5× 27 1.0× 23 223
Ambra Calà Germany 8 142 1.0× 20 0.7× 36 1.3× 53 1.9× 18 0.7× 25 225
Jack C. Chaplin United Kingdom 10 227 1.5× 15 0.5× 23 0.8× 26 0.9× 8 0.3× 33 311
Achim Rettberg Germany 6 150 1.0× 45 1.5× 12 0.4× 20 0.7× 38 1.4× 24 233
Luis Alberto Cruz Salazar Colombia 7 156 1.1× 25 0.8× 20 0.7× 27 1.0× 14 0.5× 27 222

Countries citing papers authored by Giovanni Di Orio

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Di Orio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giovanni Di Orio. 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 Giovanni Di Orio. The network helps show where Giovanni Di Orio may publish in the future.

Co-authorship network of co-authors of Giovanni Di Orio

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Di Orio. A scholar is included among the top collaborators of Giovanni Di Orio 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 Giovanni Di Orio. Giovanni Di Orio 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
2.
Orio, Giovanni Di, et al.. (2020). A Cyber-Physical Approach to Resilience and Robustness by Design. International Journal of Advanced Computer Science and Applications. 11(7). 4 indexed citations
3.
Albano, Michele, Luís Lino Ferreira, Giovanni Di Orio, et al.. (2020). Advanced sensor-based maintenance in real-world exemplary cases. Automatika. 61(4). 537–553. 11 indexed citations
4.
Orio, Giovanni Di, Pedro Maló, & José Barata. (2019). NOVAAS: A Reference Implementation of Industrie4.0 Asset Administration Shell with best-of-breed practices from IT engineering. 5505–5512. 22 indexed citations
5.
Albano, Michele, Luís Lino Ferreira, Giovanni Di Orio, et al.. (2018). Sensors: The Enablers for Proactive Maintenance in the Real World. 6 indexed citations
6.
Jantunen, Erkki, et al.. (2018). A framework for maintenance 4.0. 7 indexed citations
7.
Orio, Giovanni Di, Pedro Maló, José Barata, Michele Albano, & Luís Lino Ferreira. (2018). Towards a Framework for Interoperable and Interconnected CPS-populated Systems for Proactive Maintenance. 146–151. 8 indexed citations
8.
Orio, Giovanni Di, et al.. (2017). Orchestrating loosely coupled and distributed components for product/process servitization. 50. 1199–1204. 1 indexed citations
9.
Jantunen, Erkki, Urko Zurutuza, Michele Albano, et al.. (2017). The Way Cyber Physical Systems Will Revolutionise Maintenance. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 448–456. 3 indexed citations
10.
Ferreira, Luís Lino, Michele Albano, Diogo Martinho, et al.. (2017). A pilot for proactive maintenance in industry 4.0. The Scientific Repository of the Polytechnic Institute of Porto (Polytechnic Institute of Porto). 1–9. 28 indexed citations
11.
Orio, Giovanni Di, Gonçalo Cândido, & José Barata. (2015). The Adapter module: A building block for Self-Learning Production Systems. Robotics and Computer-Integrated Manufacturing. 36. 25–35. 16 indexed citations
12.
Camarinha-Matos, Luís M., et al.. (2015). Technological Innovation for Cloud-Based Engineering Systems. IFIP advances in information and communication technology. 11 indexed citations
13.
Orio, Giovanni Di, Gonçalo Cândido, & José Barata. (2014). Self-Learning Production Systems: A New Production Paradigm. 7(2). 887. 3 indexed citations
14.
Jassbi, Javad, et al.. (2014). The impact of cloud manufacturing on supply chain agility. 495–500. 15 indexed citations
15.
Rocha, André Dionísio, et al.. (2014). An agent based framework to support plug and produce. 504–510. 35 indexed citations
16.
Cândido, Gonçalo, et al.. (2013). Self-Learning Production Systems (SLPS) — Energy management application for machine tools. 1–8. 3 indexed citations
17.
Orio, Giovanni Di, et al.. (2013). Self-Learning approach to support lifecycle optimization of Manufacturing processes. 6946–6951. 6 indexed citations
18.
Orio, Giovanni Di, et al.. (2013). Control System Software Design Methodology for Automotive Industry. 3848–3853. 4 indexed citations
19.
Cândido, Gonçalo, et al.. (2013). Enhancing device exchange agility in Service-oriented industrial automation. 65. 1–6. 8 indexed citations
20.
Stokić, Dragan, et al.. (2013). Reliable Self-Learning Production Systems Based on Context Aware Services. 59. 4872–4877. 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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