Roberto Yus
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Semantic Web and Ontologies
- Topic Modeling
Papers in
-
- Context-Aware Activity Recognition Systems 10
- Video Analysis and Summarization 5
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- Semantic Web and Ontologies 6
- Privacy-Preserving Technologies in Data 6
- Co-authors
- Eduardo Mena (19 shared papers)Sharad Mehrotra (13 shared papers)Tim Finin (8 shared papers)Nalini Venkatasubramanian (9 shared papers)Sergio Ilarri (7 shared papers)Arantza Illarramendi (6 shared papers)Fernando Bobillo (3 shared papers)Sunil Gandhi (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Multimedia Tools and Applications (2 papers)Pervasive and Mobile Computing (2 papers)IEEE Access (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Roberto Yus
39 papers receiving 298 citations
Peers
Comparison fields: 5 of 56
- Computer Science Applications 35
- Artificial Intelligence 136
- Signal Processing 45
- Computer Vision and Pattern Recognition 85
- Computer Networks and Communications 91
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2015 | 32 | |
| 3 | 2013 | 19 | |
| 4 | 2015 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2013 | 18 | |
| 7 | 2014 | 18 | |
| 8 | 2017 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2012 | 13 | |
| 11 | 2012 | 13 | |
| 12 | 2014 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2014 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2013 | 4 | |
| 20 | 2013 | 4 |
About Roberto Yus
Roberto Yus is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Computer Science Applications, having authored 44 papers that have together received 316 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), IoT and Edge/Fog Computing (7 papers), Service-Oriented Architecture and Web Services (7 papers), Semantic Web and Ontologies (6 papers), Privacy-Preserving Technologies in Data (6 papers), Data Management and Algorithms (5 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Computer Science Applications (35 citations), Artificial Intelligence (136 citations), Signal Processing (45 citations), Computer Vision and Pattern Recognition (85 citations) and Computer Networks and Communications (91 citations). Roberto Yus has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Eduardo Mena, Sharad Mehrotra, Tim Finin, Nalini Venkatasubramanian, Sergio Ilarri, Arantza Illarramendi, Fernando Bobillo, Sunil Gandhi, Lushan Han and Georgios Bouloukakis. Their work appears in journals such as Proceedings of the VLDB Endowment, Multimedia Tools and Applications, Pervasive and Mobile Computing, IEEE Access and Language Resources and Evaluation.
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.