Silvia Gabrielli
- Human-Computer Interaction top 0.5%
- Applied Psychology top 2%
- Computer Vision and Pattern Recognition top 5%
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Co-authors
- Luca ChittaroStefano BurigatAhmed FadhilRosa MaimoneStephen KimaniSilvia RizziGiorgio BrajnikSara Carbone
- Topics
- Innovative Human-Technology Interaction (19 papers)Digital Mental Health Interventions (16 papers)Technology Adoption and User Behaviour (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsComputers in Human Behavior
- Partner nations
- ItalyUnited KingdomFinland
In The Last Decade
Silvia Gabrielli
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Human-Computer Interaction 488
- Applied Psychology 254
- Computer Vision and Pattern Recognition 209
- General Health Professions 208
- Sociology and Political Science 185
Countries citing papers authored by Silvia Gabrielli
This map shows the geographic impact of Silvia Gabrielli'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 Silvia Gabrielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Gabrielli more than expected).
Fields of papers citing papers by Silvia Gabrielli
This network shows the impact of papers produced by Silvia Gabrielli. 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 Silvia Gabrielli. The network helps show where Silvia Gabrielli may publish in the future.
Co-authorship network of co-authors of Silvia Gabrielli
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Gabrielli. A scholar is included among the top collaborators of Silvia Gabrielli 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 Silvia Gabrielli. Silvia Gabrielli 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 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 74 | |
| 13 | 59 | |
| 14 | 54 | |
| 15 | 65 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | A Framework for Overcoming Challenges in Designing Persuasive Monitoring Systems for Mental Illness | 2 |
| 19 | 1 | |
| 20 | A Boosting Approach to eContent Development for Learners with Special Needs | 5 |
About Silvia Gabrielli
Silvia Gabrielli is a scholar working on Human-Computer Interaction, Applied Psychology and Information Systems and Management, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (19 papers), Digital Mental Health Interventions (16 papers) and Technology Adoption and User Behaviour (7 papers). The work is most often cited by research in Human-Computer Interaction (488 citations), Applied Psychology (254 citations) and Information Systems and Management (120 citations). Silvia Gabrielli has collaborated with scholars based in Italy, United Kingdom and Finland. Frequent co-authors include Luca Chittaro, Stefano Burigat, Ahmed Fadhil, Rosa Maimone, Stephen Kimani, Silvia Rizzi, Giorgio Brajnik, Sara Carbone, Stefano Forti and Yvonne Rogers. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.
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.