Catia Prandi
Impact in
- Human-Computer Interaction top 1%
- Innovative Human-Technology Interaction
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Mobile Crowdsensing and Crowdsourcing 21
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- Context-Aware Activity Recognition Systems 14
- Augmented Reality Applications 8
- Co-authors
- Paola Salomoni (56 shared papers)Silvia Mirri (60 shared papers)Nuno Nunes (28 shared papers)Chiara Ceccarini (26 shared papers)Valentina Nisi (27 shared papers)Marco Roccetti (15 shared papers)Giovanni Delnevo (17 shared papers)Stefano Ferretti (7 shared papers)
In The Last Decade
Catia Prandi
120 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Human-Computer Interaction 258
- Computer Science Applications 254
- Transportation 308
- Human Factors and Ergonomics 60
- Automotive Engineering 181
Countries citing papers authored by Catia Prandi
This map shows the geographic impact of Catia Prandi'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 Catia Prandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catia Prandi more than expected).
Fields of papers citing papers by Catia Prandi
This network shows the impact of papers produced by Catia Prandi. 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 Catia Prandi. The network helps show where Catia Prandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Catia Prandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 77 | |
| 2 | 2021 | 75 | |
| 3 | 2014 | 69 | |
| 4 | 2017 | 54 | |
| 5 | 2019 | 52 | |
| 6 | 2016 | 51 | |
| 7 | 2017 | 49 | |
| 8 | 2017 | 46 | |
| 9 | 2017 | 45 | |
| 10 | 2016 | 42 | |
| 11 | 2020 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2016 | 37 | |
| 15 | 2016 | 36 | |
| 16 | 2015 | 34 | |
| 17 | 2022 | 33 | |
| 18 | 2015 | 33 | |
| 19 | 2021 | 32 | |
| 20 | 2015 | 30 |
About Catia Prandi
Catia Prandi is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Transportation and Sociology and Political Science, having authored 130 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (21 papers), Human Mobility and Location-Based Analysis (19 papers), Innovative Human-Technology Interaction (17 papers), Context-Aware Activity Recognition Systems (14 papers), Tactile and Sensory Interactions (9 papers), Educational Games and Gamification (8 papers), Augmented Reality Applications (8 papers) and Urban Transport and Accessibility (7 papers). The work is most often cited by research in Human-Computer Interaction (258 citations), Computer Science Applications (254 citations), Transportation (308 citations), Human Factors and Ergonomics (60 citations) and Automotive Engineering (181 citations). Catia Prandi has collaborated with scholars based in Italy, Portugal and Spain. Frequent co-authors include Paola Salomoni, Silvia Mirri, Nuno Nunes, Chiara Ceccarini, Valentina Nisi, Marco Roccetti, Giovanni Delnevo, Stefano Ferretti, Lorenzo Monti and Franco Callegati. Their work appears in journals such as Mobile Networks and Applications, Multimedia Tools and Applications, Journal Of Big Data, International Journal of Arts and Technology 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.