Silvia Mirri
- Computer Vision and Pattern Recognition top 5%
- Computer Science Applications top 1%
- Artificial Intelligence top 5%
- Transportation top 2%
- Information Systems top 5%
- Co-authors
- Paola SalomoniCatia PrandiMarco RoccettiGiovanni DelnevoStefano FerrettiMarco FuriniFranco CallegatiManuela Montangero
- Topics
- Digital Accessibility for Disabilities (23 papers)Mobile Crowdsensing and Crowdsourcing (18 papers)Context-Aware Activity Recognition Systems (15 papers)
In The Last Decade
Silvia Mirri
136 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 326
- Computer Science Applications 300
- Artificial Intelligence 278
- Transportation 237
- Information Systems 231
Countries citing papers authored by Silvia Mirri
This map shows the geographic impact of Silvia Mirri'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 Mirri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Mirri more than expected).
Fields of papers citing papers by Silvia Mirri
This network shows the impact of papers produced by Silvia Mirri. 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 Mirri. The network helps show where Silvia Mirri may publish in the future.
Co-authorship network of co-authors of Silvia Mirri
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Mirri. A scholar is included among the top collaborators of Silvia Mirri 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 Mirri. Silvia Mirri 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | 21 | |
| 10 | 40 | |
| 11 | 4 | |
| 12 | 46 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | 37 | |
| 17 | Proceedings of the 12th Web for All Conference | 6 |
| 18 | Metrics for Accessibility: Experiences with the Vamola' Project | 4 |
| 19 | Automatically Producing Accessible Learning Objects. | 32 |
| 20 | A participatory framework to support inclusive multi-playing for gamers in disadvantaged conditions | 1 |
About Silvia Mirri
Silvia Mirri is a scholar working on Human Factors and Ergonomics, Computer Science Applications and Human-Computer Interaction, having authored 147 papers that have together received 1.7k indexed citations. Recurring topics across this work include Digital Accessibility for Disabilities (23 papers), Mobile Crowdsensing and Crowdsourcing (18 papers) and Context-Aware Activity Recognition Systems (15 papers). The work is most often cited by research in Human Factors and Ergonomics (184 citations), Computer Science Applications (300 citations) and Human-Computer Interaction (197 citations). Silvia Mirri has collaborated with scholars based in Italy, Macao and Portugal. Frequent co-authors include Paola Salomoni, Catia Prandi, Marco Roccetti, Giovanni Delnevo, Stefano Ferretti, Marco Furini, Franco Callegati, Manuela Montangero, Lorenzo Monti and Andrea Melis. Their work appears in journals such as Communications of the ACM, IEEE Access and Sensors.
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.