Automated Author Profile

Lotta, Alessandro

Unipd
0009-0009-5047-606x

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Ranking snapshot for the query "THE ROLE OF HUMAN INTELLIGENCE IN ARTIFICIAL INTELLIGENCE" performed on Google Scholar

This deposit provides a snapshot of results obtained through a Google Scholar search query on the topic of "THE ROLE OF HUMAN INTELLIGENCE IN ARTIFICIAL INTELLIGENCE". The search was performed by Alessandro Lotta, from Unipd, on May 30, 2023 at 6:34:32 PM. The captured data includes 2 pages of search results, which have been saved in the output-data.jsonld file. In addition to the citation data, the deposit includes PNG format screenshots of the search results, allowing visual reference to the captured information. The metadata for the Research Object Crate is also included in JSON format, providing essential details about the contents. The citation snapshot presented here is generated using the Unipd Ranking Citation Tool, a tool developed by Gianmaria Silvello and Alessandro Lotta (University of Padua). This tool, accessible at https://rankingcitation.dei.unipd.it

Authors

  • Lotta, Alessandro
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.7987028May 2023

Ranking snapshot for the query "THE ROLE OF HUMAN INTELLIGENCE IN ARTIFICIAL INTELLIGENCE" performed on Google Scholar

This deposit provides a snapshot of results obtained through a Google Scholar search query on the topic of "THE ROLE OF HUMAN INTELLIGENCE IN ARTIFICIAL INTELLIGENCE". The search was performed by Alessandro Lotta, from Unipd, on May 30, 2023 at 6:34:32 PM. The captured data includes 2 pages of search results, which have been saved in the output-data.jsonld file. In addition to the citation data, the deposit includes PNG format screenshots of the search results, allowing visual reference to the captured information. The metadata for the Research Object Crate is also included in JSON format, providing essential details about the contents. The citation snapshot presented here is generated using the Unipd Ranking Citation Tool, a tool developed by Gianmaria Silvello and Alessandro Lotta (University of Padua). This tool, accessible at https://rankingcitation.dei.unipd.it

Authors

  • Lotta, Alessandro
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.7987027May 2023