Luca Roffia
Impact in
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- IoT and Edge/Fog Computing
- Museology top 5%
- Museums and Cultural Heritage
Papers in
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- Museums and Cultural Heritage 9
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- Context-Aware Activity Recognition Systems 9
- Co-authors
- Tullio Salmon Cinotti (32 shared papers)Alfredo D’Elia (17 shared papers)Fabio Viola (9 shared papers)Francesco Morandi (4 shared papers)Francesco Antoniazzi (7 shared papers)Luciano Bononi (2 shared papers)Jussi Kiljander (1 shared paper)Alessandra Toninelli (2 shared papers)
In The Last Decade
Luca Roffia
44 papers receiving 620 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 126
- Museology 28
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 175
- Information Systems 121
Countries citing papers authored by Luca Roffia
This map shows the geographic impact of Luca Roffia'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 Luca Roffia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Roffia more than expected).
Fields of papers citing papers by Luca Roffia
This network shows the impact of papers produced by Luca Roffia. 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 Luca Roffia. The network helps show where Luca Roffia may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Roffia, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2016 | 62 | |
| 3 | 2012 | 46 | |
| 4 | 2018 | 33 | |
| 5 | 2013 | 28 | |
| 6 | 2010 | 27 | |
| 7 | 2010 | 24 | |
| 8 | 2023 | 24 | |
| 9 | 2018 | 23 | |
| 10 | 2010 | 22 | |
| 11 | 2011 | 22 | |
| 12 | A platform for enabling context aware telecommunication services | 2007 | 20 |
| 13 | 2001 | 15 | |
| 14 | 2007 | 15 | |
| 15 | 2010 | 15 | |
| 16 | 2016 | 15 | |
| 17 | 2011 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2019 | 13 | |
| 20 | Evaluating Context-Aware Mobile Applications in Museums: Experiences from the MUSE Project | 2004 | 11 |
About Luca Roffia
Luca Roffia is a scholar working on Museology, Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction and Geology, having authored 45 papers that have together received 650 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Museums and Cultural Heritage (9 papers), Context-Aware Activity Recognition Systems (9 papers), Interactive and Immersive Displays (5 papers), Innovation in Digital Healthcare Systems (4 papers), 3D Surveying and Cultural Heritage (4 papers), IoT and Edge/Fog Computing (4 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Computer Networks and Communications (126 citations), Museology (28 citations), Computer Vision and Pattern Recognition (127 citations), Artificial Intelligence (175 citations) and Information Systems (121 citations). Luca Roffia has collaborated with scholars based in Italy, Finland and Brazil. Frequent co-authors include Tullio Salmon Cinotti, Alfredo D’Elia, Fabio Viola, Francesco Morandi, Francesco Antoniazzi, Luciano Bononi, Jussi Kiljander, Alessandra Toninelli, Paolo Bellavista and Ivan Zyrianoff. Their work appears in journals such as Future Internet, Expert Systems with Applications, IEEE Communications Magazine, IEEE Internet of Things Journal and International Journal on Semantic Web and Information Systems.
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.