Fernando Mourão
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Leonardo RochaMarcos André GonçalvesAdriano C. M. PereiraThiago SallesWagner MeiraFelipe ViegasElder CiriloGisele L. Pappa
- Topics
- Recommender Systems and Techniques (17 papers)Advanced Bandit Algorithms Research (10 papers)Spam and Phishing Detection (9 papers)
- Partner nations
- BrazilUnited StatesMalaysia
In The Last Decade
Fernando Mourão
45 papers receiving 483 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 274
- Information Systems 256
- Computer Networks and Communications 75
- Computer Vision and Pattern Recognition 62
- Sociology and Political Science 60
Countries citing papers authored by Fernando Mourão
This map shows the geographic impact of Fernando Mourão'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 Fernando Mourão with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Mourão more than expected).
Fields of papers citing papers by Fernando Mourão
This network shows the impact of papers produced by Fernando Mourão. 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 Fernando Mourão. The network helps show where Fernando Mourão may publish in the future.
Co-authorship network of co-authors of Fernando Mourão
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Mourão. A scholar is included among the top collaborators of Fernando Mourão 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 Fernando Mourão. Fernando Mourão is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 34 | |
| 7 | Non-personalized Movie Recommendation by Maximum k-Coverage | 2 |
| 8 | 66 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 0 | |
| 15 | 12 | |
| 16 | 7 | |
| 17 | The Oblivion Problem: Exploiting forgotten items to improve recommendation diversity | 4 |
| 18 | Automatic Document Classification Temporally Robust | 9 |
| 19 | Classificação Automática de Documentos Robusta Temporalmente. | 1 |
| 20 | 3 |
About Fernando Mourão
Fernando Mourão is a scholar working on Management Science and Operations Research, Information Systems and Marketing, having authored 50 papers that have together received 508 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Advanced Bandit Algorithms Research (10 papers) and Spam and Phishing Detection (9 papers). The work is most often cited by research in Information Systems (256 citations), Artificial Intelligence (274 citations) and Transportation (43 citations). Fernando Mourão has collaborated with scholars based in Brazil, United States and Malaysia. Frequent co-authors include Leonardo Rocha, Marcos André Gonçalves, Adriano C. M. Pereira, Thiago Salles, Wagner Meira, Felipe Viegas, Elder Cirilo, Gisele L. Pappa, Matheus P. Viana and Vinícius Vieira. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.
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.