Vítor Mangaravite
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Alípio JorgeArian PasqualiCélia NunesRicardo CamposAdam JatowtMarcos André GonçalvesFelipe ViegasSérgio Canuto
- Topics
- Information Retrieval and Search Behavior (2 papers)Expert finding and Q&A systems (2 papers)Topic Modeling (2 papers)
- Journals
- Information SciencesInformation Processing & Management2022 IEEE International Conference on Big Data (Big Data)
In The Last Decade
Vítor Mangaravite
7 papers receiving 434 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 382
- Information Systems 130
- Computer Vision and Pattern Recognition 38
- Molecular Biology 31
- Sociology and Political Science 29
Countries citing papers authored by Vítor Mangaravite
This map shows the geographic impact of Vítor Mangaravite'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 Vítor Mangaravite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vítor Mangaravite more than expected).
Fields of papers citing papers by Vítor Mangaravite
This network shows the impact of papers produced by Vítor Mangaravite. 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 Vítor Mangaravite. The network helps show where Vítor Mangaravite may publish in the future.
Co-authorship network of co-authors of Vítor Mangaravite
This figure shows the co-authorship network connecting the top 25 collaborators of Vítor Mangaravite. A scholar is included among the top collaborators of Vítor Mangaravite 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 Vítor Mangaravite. Vítor Mangaravite 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 | 0 | |
| 3 | 56 | |
| 4 | 38 | |
| 5 | YAKE! Keyword extraction from single documents using multiple local featuresbreakdown → | 339 |
| 6 | Strategies for automatic determination of similarity threshold for genre-aware focused crawling processes. | 1 |
| 7 | AUTOMATIC DETERMINATION OF SIMILARITY THRESHOLD FOR FOCUSED CRAWLING PROCESSES ON WEB PAGES | 1 |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 7 |
About Vítor Mangaravite
Vítor Mangaravite is a scholar working on Computer Science Applications, Information Systems and Management Science and Operations Research, having authored 10 papers that have together received 458 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (2 papers), Expert finding and Q&A systems (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Information Systems (130 citations) and General Social Sciences (16 citations). Vítor Mangaravite has collaborated with scholars based in Brazil, Portugal and Japan. Frequent co-authors include Alípio Jorge, Arian Pasquali, Célia Nunes, Ricardo Campos, Adam Jatowt, Marcos André Gonçalves, Felipe Viegas, Sérgio Canuto, Thierson Couto Rosa and Leonardo Rocha. Their work appears in journals such as Information Sciences, Information Processing & Management and 2022 IEEE International Conference on Big Data (Big Data).
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.