Sara Casaccia
- Biomedical Engineering
- Building and Construction top 5%
- Computer Vision and Pattern Recognition top 10%
- Cardiology and Cardiovascular Medicine
- Demography top 5%
- Co-authors
- Gian Marco RevelLorenzo ScaliseMarco ArnesanoJohn RohrbaughIlaria PigliautileEmanuele FrontoniAnna Laura PiselloErik J. Sirevaag
- Topics
- Context-Aware Activity Recognition Systems (21 papers)Non-Invasive Vital Sign Monitoring (21 papers)Technology Use by Older Adults (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsInternational Journal of Environmental Research and Public Health
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Sara Casaccia
65 papers receiving 667 citations
Peers
Comparison fields: 5 of 105
- Biomedical Engineering 183
- Building and Construction 162
- Computer Vision and Pattern Recognition 142
- Cardiology and Cardiovascular Medicine 113
- Demography 99
Countries citing papers authored by Sara Casaccia
This map shows the geographic impact of Sara Casaccia'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 Sara Casaccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Casaccia more than expected).
Fields of papers citing papers by Sara Casaccia
This network shows the impact of papers produced by Sara Casaccia. 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 Sara Casaccia. The network helps show where Sara Casaccia may publish in the future.
Co-authorship network of co-authors of Sara Casaccia
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Casaccia. A scholar is included among the top collaborators of Sara Casaccia 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 Sara Casaccia. Sara Casaccia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 11 |
About Sara Casaccia
Sara Casaccia is a scholar working on Demography, Computer Vision and Pattern Recognition and Building and Construction, having authored 71 papers that have together received 684 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), Non-Invasive Vital Sign Monitoring (21 papers) and Technology Use by Older Adults (14 papers). The work is most often cited by research in Building and Construction (162 citations), Demography (99 citations) and Computer Vision and Pattern Recognition (142 citations). Sara Casaccia has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Gian Marco Revel, Lorenzo Scalise, Marco Arnesano, John Rohrbaugh, Ilaria Pigliautile, Emanuele Frontoni, Anna Laura Pisello, Erik J. Sirevaag, Roberta Bevilacqua and Andrea Monteriù. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.
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.