Automated Author ProfileGualtieri, Luca
Free University of Bolzano0000-0002-4976-1893
Gualtieri, Luca
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset consists of qualitative data in the form of a transcript from a focus group conducted with five experts from a leading wine cooperative in Trentino, as part of UC3. The transcript records participants’ reflections on innovation in viticulture, first impressions of the proposed robotic platform and exoskeleton, expected effects on workflows and teamwork, organizational aspects influencing adoption, and overall acceptance of collaborative solutions in agricultural contexts. The discussion includes concrete suggestions for improving the design, functionalities, and user experience of the proposed systems.
Authors
- Fraboni, Federico ;
- Morandini, Sofia ;
- PIETRANTONI, LUCA ;
- Gualtieri, Luca ;
- Chiaghi, Davide
The dataset consists of qualitative data in the form of a transcript from a focus group conducted with five experts from a leading wine cooperative in Trentino, as part of UC3. The transcript records participants’ reflections on innovation in viticulture, first impressions of the proposed robotic platform and exoskeleton, expected effects on workflows and teamwork, organizational aspects influencing adoption, and overall acceptance of collaborative solutions in agricultural contexts. The discussion includes concrete suggestions for improving the design, functionalities, and user experience of the proposed systems.
Authors
- Fraboni, Federico ;
- Morandini, Sofia ;
- PIETRANTONI, LUCA ;
- Gualtieri, Luca ;
- Chiaghi, Davide