Sérgio Canuto
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Machine Learning and Data Classification
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- General Social Sciences top 2%
Papers in
-
- Text and Document Classification Technologies 15
- Topic Modeling 14
- Advanced Text Analysis Techniques 6
- Machine Learning and Data Classification 6
- Sentiment Analysis and Opinion Mining 5
- Natural Language Processing Techniques 3
-
- Expert finding and Q&A systems 2
- Co-authors
- Marcos André Gonçalves (28 shared papers)Thierson Couto Rosa (10 shared papers)Leonardo Rocha (9 shared papers)Felipe Viegas (9 shared papers)Fabrício Benevenuto (1 shared paper)Christian Gomes (5 shared papers)Thiago Salles (5 shared papers)Mirella M. Moro (1 shared paper)
In The Last Decade
Sérgio Canuto
27 papers receiving 434 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 346
- General Social Sciences 24
- Information Systems 125
- Management Science and Operations Research 40
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Sérgio Canuto
This map shows the geographic impact of Sérgio Canuto'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 Sérgio Canuto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sérgio Canuto more than expected).
Fields of papers citing papers by Sérgio Canuto
This network shows the impact of papers produced by Sérgio Canuto. 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 Sérgio Canuto. The network helps show where Sérgio Canuto may publish in the future.
Co-authors
The 25 scholars most cited alongside Sérgio Canuto, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 60 | |
| 2 | 2016 | 49 | |
| 3 | 2016 | 48 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 37 | |
| 6 | 2018 | 25 | |
| 7 | 2015 | 24 | |
| 8 | 2020 | 21 | |
| 9 | 2017 | 21 | |
| 10 | A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation | 2013 | 18 |
| 11 | 2019 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2018 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2021 | 5 | |
| 20 | 2016 | 5 |
About Sérgio Canuto
Sérgio Canuto is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Surgery, having authored 29 papers that have together received 456 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (15 papers), Topic Modeling (14 papers), Advanced Text Analysis Techniques (6 papers), Machine Learning and Data Classification (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Natural Language Processing Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Artificial Intelligence (346 citations), General Social Sciences (24 citations), Information Systems (125 citations), Management Science and Operations Research (40 citations) and Computer Vision and Pattern Recognition (49 citations). Sérgio Canuto has collaborated with scholars based in Brazil, Portugal and Slovakia. Frequent co-authors include Marcos André Gonçalves, Thierson Couto Rosa, Leonardo Rocha, Felipe Viegas, Fabrício Benevenuto, Christian Gomes, Thiago Salles, Mirella M. Moro, Jussara M. Almeida and Vítor Mangaravite. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Processing & Management, Expert Systems with Applications, Information Systems and International Journal on Digital Libraries.
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.