Roberto Yus
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 10%
- Service-Oriented Architecture and Web Services
Papers in
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- IoT and Edge/Fog Computing 8
-
- Context-Aware Activity Recognition Systems 10
- Video Analysis and Summarization 6
- Co-authors
- Eduardo Mena (21 shared papers)Sharad Mehrotra (14 shared papers)Tim Finin (8 shared papers)Sergio Ilarri (9 shared papers)Fernando Bobillo (4 shared papers)Arantza Illarramendi (7 shared papers)Nalini Venkatasubramanian (10 shared papers)Sunil Gandhi (2 shared papers)
- Journals
- Pervasive and Mobile Computing (3 papers)Proceedings of the VLDB Endowment (3 papers)Multimedia Tools and Applications (2 papers)Semantic Web (1 paper)Journal of Web Semantics (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Roberto Yus
43 papers receiving 372 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 39
- Information Systems 119
- Artificial Intelligence 171
- Computer Vision and Pattern Recognition 105
- Computer Networks and Communications 116
Countries citing papers authored by Roberto Yus
This map shows the geographic impact of Roberto Yus'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 Roberto Yus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Yus more than expected).
Fields of papers citing papers by Roberto Yus
This network shows the impact of papers produced by Roberto Yus. 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 Roberto Yus. The network helps show where Roberto Yus may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Yus, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 46 | |
| 2 | 2015 | 35 | |
| 3 | 2015 | 29 | |
| 4 | 2013 | 26 | |
| 5 | 2013 | 22 | |
| 6 | 2014 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2017 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2012 | 15 | |
| 11 | 2014 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2013 | 5 |
About Roberto Yus
Roberto Yus is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Computer Science Applications, having authored 48 papers that have together received 390 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Service-Oriented Architecture and Web Services (8 papers), IoT and Edge/Fog Computing (8 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Semantic Web and Ontologies (7 papers), Privacy-Preserving Technologies in Data (6 papers), Video Analysis and Summarization (6 papers) and Multimedia Communication and Technology (5 papers). The work is most often cited by research in Computer Science Applications (39 citations), Information Systems (119 citations), Artificial Intelligence (171 citations), Computer Vision and Pattern Recognition (105 citations) and Computer Networks and Communications (116 citations). Roberto Yus has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Eduardo Mena, Sharad Mehrotra, Tim Finin, Sergio Ilarri, Fernando Bobillo, Arantza Illarramendi, Nalini Venkatasubramanian, Sunil Gandhi, Lushan Han and Georgios Bouloukakis. Their work appears in journals such as Pervasive and Mobile Computing, Proceedings of the VLDB Endowment, Multimedia Tools and Applications, Semantic Web and Journal of Web Semantics.
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.