Chiara Ceccarini
Impact in
-
- Smart Cities and Technologies
Papers in
-
- Digital Marketing and Social Media 3
- Climate Change Communication and Perception 3
-
- Innovative Human-Technology Interaction 6
- Co-authors
- Catia Prandi (26 shared papers)Paola Salomoni (8 shared papers)Giovanni Delnevo (7 shared papers)Roberto Girau (1 shared paper)Lorenzo Monti (1 shared paper)Silvia Mirri (3 shared papers)Valentina Nisi (6 shared papers)Nuno Nunes (3 shared papers)
In The Last Decade
Chiara Ceccarini
25 papers receiving 272 citations
Peers
Comparison fields: 5 of 88
- Human-Computer Interaction 22
- Media Technology 21
- Nuclear Energy and Engineering 1
- Computer Networks and Communications 47
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Chiara Ceccarini
This map shows the geographic impact of Chiara Ceccarini'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 Chiara Ceccarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Ceccarini more than expected).
Fields of papers citing papers by Chiara Ceccarini
This network shows the impact of papers produced by Chiara Ceccarini. 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 Chiara Ceccarini. The network helps show where Chiara Ceccarini may publish in the future.
Co-authors
The 24 scholars most cited alongside Chiara Ceccarini, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2019 | 52 | |
| 3 | 2021 | 21 | |
| 4 | 2020 | 18 | |
| 5 | 2019 | 15 | |
| 6 | 2010 | 14 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2023 | 1 |
About Chiara Ceccarini
Chiara Ceccarini is a scholar working on Sociology and Political Science, Human-Computer Interaction, Computer Vision and Pattern Recognition, Information Systems and Management of Technology and Innovation, having authored 32 papers that have together received 279 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (6 papers), Innovative Approaches in Technology and Social Development (4 papers), Context-Aware Activity Recognition Systems (3 papers), Digital Marketing and Social Media (3 papers), IoT and Edge/Fog Computing (3 papers), Sharing Economy and Platforms (3 papers), Climate Change Communication and Perception (3 papers) and Environmental and Biological Research in Conflict Zones (2 papers). The work is most often cited by research in Human-Computer Interaction (22 citations), Media Technology (21 citations), Nuclear Energy and Engineering (1 citation), Computer Networks and Communications (47 citations) and Computer Vision and Pattern Recognition (40 citations). Chiara Ceccarini has collaborated with scholars based in Italy, Portugal and Macao. Frequent co-authors include Catia Prandi, Paola Salomoni, Giovanni Delnevo, Roberto Girau, Lorenzo Monti, Silvia Mirri, Valentina Nisi, Nuno Nunes, Marzia Bianchi and Mauro Magnani. Their work appears in journals such as Prenatal Diagnosis, Mobile Networks and Applications, Multimedia Tools and Applications, IEEE Internet of Things Journal and International Journal of Human-Computer Interaction.
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.