Luca Mari
- Statistics, Probability and Uncertainty top 1%
- Management Science and Operations Research top 5%
- Management Information Systems top 5%
- History and Philosophy of Science top 1%
- Computer Networks and Communications top 10%
- Co-authors
- Pietro MicheliMark WilsonDario PetriAlessandro GiordaniPaolo CarboneAndrew MaulDavid Torres IrribarraValentina Lazzarotti
- Topics
- Scientific Measurement and Uncertainty Evaluation (36 papers)Sensor Technology and Measurement Systems (18 papers)Philosophy and History of Science (11 papers)
- Journals
- IEEE AccessInternational Journal of Production EconomicsJournal of the Association for Information Systems
- Partner nations
- ItalyUnited StatesChile
In The Last Decade
Luca Mari
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 144
- Statistics, Probability and Uncertainty 280
- Management Science and Operations Research 165
- Management Information Systems 138
- History and Philosophy of Science 121
- Computer Networks and Communications 120
Countries citing papers authored by Luca Mari
This map shows the geographic impact of Luca Mari'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 Luca Mari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Mari more than expected).
Fields of papers citing papers by Luca Mari
This network shows the impact of papers produced by Luca Mari. 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 Luca Mari. The network helps show where Luca Mari may publish in the future.
Co-authorship network of co-authors of Luca Mari
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Mari. A scholar is included among the top collaborators of Luca Mari 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 Luca Mari. Luca Mari 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 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | IS MAKING THE NEW KNOWING? TANGIBLE AND INTANGIBLE KNOWLEDGE ARTIFACTS IN DIDIY | 5 |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | Modelling Measurement: Error and Uncertainty | 11 |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 35 | |
| 20 | 2 |
About Luca Mari
Luca Mari is a scholar working on Statistics, Probability and Uncertainty, History and Philosophy of Science and Computer Networks and Communications, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (36 papers), Sensor Technology and Measurement Systems (18 papers) and Philosophy and History of Science (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (280 citations), History and Philosophy of Science (121 citations) and General Psychology (26 citations). Luca Mari has collaborated with scholars based in Italy, United States and Chile. Frequent co-authors include Pietro Micheli, Mark Wilson, Dario Petri, Alessandro Giordani, Paolo Carbone, Andrew Maul, David Torres Irribarra, Valentina Lazzarotti, Raffaella Manzini and Sergio Sartori. Their work appears in journals such as IEEE Access, International Journal of Production Economics and Journal of the Association for Information Systems.
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.