Camillo Lugaresi
- Artificial Intelligence top 10%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Xin Luna DongEvgeniy GabrilovichKevin MurphyShaohua SunVan DangWei ZhangJiuqiang TangChuo-Ling Chang
- Topics
- Electronic Health Records Systems (3 papers)Clinical practice guidelines implementation (2 papers)Access Control and Trust (2 papers)
- Partner nations
- United States
In The Last Decade
Camillo Lugaresi
8 papers receiving 263 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 115
- Sociology and Political Science 52
- Computer Vision and Pattern Recognition 51
- Information Systems 48
- Human-Computer Interaction 42
Countries citing papers authored by Camillo Lugaresi
This map shows the geographic impact of Camillo Lugaresi'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 Camillo Lugaresi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camillo Lugaresi more than expected).
Fields of papers citing papers by Camillo Lugaresi
This network shows the impact of papers produced by Camillo Lugaresi. 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 Camillo Lugaresi. The network helps show where Camillo Lugaresi may publish in the future.
Co-authorship network of co-authors of Camillo Lugaresi
This figure shows the co-authorship network connecting the top 25 collaborators of Camillo Lugaresi. A scholar is included among the top collaborators of Camillo Lugaresi 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 Camillo Lugaresi. Camillo Lugaresi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | MediaPipe: A Framework for Perceiving and Processing Reality | 108 |
| 2 | MediaPipe: A Framework for Perceiving and Augmenting Reality | 3 |
| 3 | 23 | |
| 4 | 11 | |
| 5 | 116 | |
| 6 | 9 | |
| 7 | Translating Italian connectives into Italian Sign Language | 2 |
| 8 | HospSum: Integrating physician discharge notes with coded nursing care data to generate patient-centric summaries | 2 |
About Camillo Lugaresi
Camillo Lugaresi is a scholar working on Issues, ethics and legal aspects, Health Information Management and Human-Computer Interaction, having authored 8 papers that have together received 274 indexed citations. Recurring topics across this work include Electronic Health Records Systems (3 papers), Clinical practice guidelines implementation (2 papers) and Access Control and Trust (2 papers). The work is most often cited by research in Issues, ethics and legal aspects (12 citations), Human-Computer Interaction (42 citations) and Artificial Intelligence (115 citations). Camillo Lugaresi has collaborated with scholars based in United States. Frequent co-authors include Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Van Dang, Wei Zhang, Jiuqiang Tang, Chuo-Ling Chang, Hadon Nash and Esha Uboweja. Their work appears in journals such as Proceedings of the VLDB Endowment, International Journal of Medical Informatics and Figshare.
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.