Giacomo Barbieri
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering
- Mechanical Engineering
- Plant Science
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Cesare FantuzziLuca FumagalliAlessandro AbbàGiorgio BertanzaMaria Cristina CollivignarelliBirgit Vogel‐HeuserElisa NegriAlexia Bertuzzi
- Topics
- Flexible and Reconfigurable Manufacturing Systems (20 papers)Digital Transformation in Industry (15 papers)Manufacturing Process and Optimization (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologySustainability
In The Last Decade
Giacomo Barbieri
44 papers receiving 432 citations
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 251
- Control and Systems Engineering 60
- Mechanical Engineering 53
- Plant Science 46
- Safety, Risk, Reliability and Quality 38
Countries citing papers authored by Giacomo Barbieri
This map shows the geographic impact of Giacomo Barbieri'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 Giacomo Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Barbieri more than expected).
Fields of papers citing papers by Giacomo Barbieri
This network shows the impact of papers produced by Giacomo Barbieri. 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 Giacomo Barbieri. The network helps show where Giacomo Barbieri may publish in the future.
Co-authorship network of co-authors of Giacomo Barbieri
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Barbieri. A scholar is included among the top collaborators of Giacomo Barbieri 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 Giacomo Barbieri. Giacomo Barbieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 59 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 22 | |
| 20 | 1 |
About Giacomo Barbieri
Giacomo Barbieri is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality, having authored 51 papers that have together received 449 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (20 papers), Digital Transformation in Industry (15 papers) and Manufacturing Process and Optimization (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (251 citations), Medical Laboratory Technology (22 citations) and Software (32 citations). Giacomo Barbieri has collaborated with scholars based in Colombia, Italy and Germany. Frequent co-authors include Cesare Fantuzzi, Luca Fumagalli, Alessandro Abbà, Giorgio Bertanza, Maria Cristina Collivignarelli, Birgit Vogel‐Heuser, Elisa Negri, Alexia Bertuzzi, Konstantin Kernschmidt and Sepideh Abolghasem. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Sustainability.
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.