Silvia Ceccacci
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
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- Virtual Reality Applications and Impacts 10
- Gaze Tracking and Assistive Technology 4
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- Color perception and design 9
- Ergonomics and Musculoskeletal Disorders 5
- Co-authors
- Maura Mengoni (38 shared papers)Michele Germani (9 shared papers)Giuseppe Toscano (2 shared papers)Emanuele Frontoni (2 shared papers)Marina Paolanti (2 shared papers)M. Calabrese (1 shared paper)Luca Romeo (1 shared paper)Simona Naspetti (1 shared paper)
In The Last Decade
Silvia Ceccacci
44 papers receiving 402 citations
Peers
Comparison fields: 5 of 79
- Human-Computer Interaction 100
- Medical Laboratory Technology 24
- Industrial and Manufacturing Engineering 83
- Museology 18
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by Silvia Ceccacci
This map shows the geographic impact of Silvia Ceccacci'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 Ceccacci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Ceccacci more than expected).
Fields of papers citing papers by Silvia Ceccacci
This network shows the impact of papers produced by Silvia Ceccacci. 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 Ceccacci. The network helps show where Silvia Ceccacci may publish in the future.
Co-authors
The 21 scholars most cited alongside Silvia Ceccacci, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2018 | 48 | |
| 3 | 2020 | 43 | |
| 4 | 2018 | 30 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2018 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 6 |
About Silvia Ceccacci
Silvia Ceccacci is a scholar working on Human-Computer Interaction, Social Psychology, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Marketing, having authored 47 papers that have together received 423 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (10 papers), Color perception and design (9 papers), Augmented Reality Applications (7 papers), Ergonomics and Musculoskeletal Disorders (5 papers), Occupational Health and Safety Research (5 papers), Context-Aware Activity Recognition Systems (5 papers), Consumer Retail Behavior Studies (5 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Human-Computer Interaction (100 citations), Medical Laboratory Technology (24 citations), Industrial and Manufacturing Engineering (83 citations), Museology (18 citations) and Computer Vision and Pattern Recognition (100 citations). Silvia Ceccacci has collaborated with scholars based in Italy and Spain. Frequent co-authors include Maura Mengoni, Michele Germani, Giuseppe Toscano, Emanuele Frontoni, Marina Paolanti, M. Calabrese, Luca Romeo, Simona Naspetti, Raffaele Zanoli and Danilo Gambelli. Their work appears in journals such as International Journal of Agile Systems and Management, The International Journal of the Inclusive Museum, Scientific Reports, The International Journal of Advanced Manufacturing Technology and Journal on Computing and Cultural Heritage.
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.