Alessia D’Andrea
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems top 10%
- Social Psychology
- Marketing
- Co-authors
- Fernando FerriPatrizia GrifoniTiziana GuzzoArianna D’UliziaMaria Chiara CascheraFilippo GriselliChristoph StahlAndrea Vignoli
- Topics
- Digital Marketing and Social Media (4 papers)Misinformation and Its Impacts (4 papers)Speech and dialogue systems (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public HealthSustainability
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Alessia D’Andrea
36 papers receiving 366 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 196
- Sociology and Political Science 103
- Information Systems 84
- Social Psychology 32
- Marketing 30
Countries citing papers authored by Alessia D’Andrea
This map shows the geographic impact of Alessia D’Andrea'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 Alessia D’Andrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessia D’Andrea more than expected).
Fields of papers citing papers by Alessia D’Andrea
This network shows the impact of papers produced by Alessia D’Andrea. 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 Alessia D’Andrea. The network helps show where Alessia D’Andrea may publish in the future.
Co-authorship network of co-authors of Alessia D’Andrea
This figure shows the co-authorship network connecting the top 25 collaborators of Alessia D’Andrea. A scholar is included among the top collaborators of Alessia D’Andrea 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 Alessia D’Andrea. Alessia D’Andrea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 17 |
About Alessia D’Andrea
Alessia D’Andrea is a scholar working on Human-Computer Interaction, Computer Science Applications and Marketing, having authored 39 papers that have together received 398 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), Misinformation and Its Impacts (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Computer Science Applications (24 citations) and Information Systems (84 citations). Alessia D’Andrea has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Fernando Ferri, Patrizia Grifoni, Tiziana Guzzo, Arianna D’Ulizia, Maria Chiara Caschera, Filippo Griselli, Christoph Stahl, Andrea Vignoli, Mario D’Oria and Sandro Lepidi. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health 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.