João Vinagre
- Information Systems top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Signal Processing top 10%
- Co-authors
- Alípio JorgeJoão GamaPaweł J. MatuszykMyra SpiliopoulouBruno VelosoBenedita MalheiroFabien GouyonJosé Paulo Leal
- Topics
- Recommender Systems and Techniques (16 papers)Data Stream Mining Techniques (9 papers)Advanced Bandit Algorithms Research (8 papers)
In The Last Decade
João Vinagre
21 papers receiving 244 citations
Peers
Comparison fields: 5 of 50
- Information Systems 179
- Artificial Intelligence 139
- Management Science and Operations Research 67
- Computer Vision and Pattern Recognition 57
- Signal Processing 45
Countries citing papers authored by João Vinagre
This map shows the geographic impact of João Vinagre'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 João Vinagre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Vinagre more than expected).
Fields of papers citing papers by João Vinagre
This network shows the impact of papers produced by João Vinagre. 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 João Vinagre. The network helps show where João Vinagre may publish in the future.
Co-authorship network of co-authors of João Vinagre
This figure shows the co-authorship network connecting the top 25 collaborators of João Vinagre. A scholar is included among the top collaborators of João Vinagre 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 João Vinagre. João Vinagre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 11 | |
| 9 | Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors | 2 |
| 10 | 25 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 19 | |
| 16 | 11 | |
| 17 | 27 | |
| 18 | 35 | |
| 19 | 10 | |
| 20 | 20 |
About João Vinagre
João Vinagre is a scholar working on Information Systems, Management Science and Operations Research and Signal Processing, having authored 24 papers that have together received 261 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Data Stream Mining Techniques (9 papers) and Advanced Bandit Algorithms Research (8 papers). The work is most often cited by research in Information Systems (179 citations), Computational Mathematics (4 citations) and Management Science and Operations Research (67 citations). João Vinagre has collaborated with scholars based in Portugal, Spain and France. Frequent co-authors include Alípio Jorge, João Gama, Paweł J. Matuszyk, Myra Spiliopoulou, Bruno Veloso, Benedita Malheiro, Fabien Gouyon, José Paulo Leal, Marcos Aurélio Domingues and Nuno Moniz. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Fusion and Knowledge 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.