Roberta Fagundes
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Science Applications top 10%
- Software top 10%
- Co-authors
- Telmo M. Silva FilhoWellington Pinheiro dos SantosBruno FernandesPablo BarrosValentina LenarduzziRenata M.C.R. de SouzaDaniel FerreiraJoão Pimentel
- Topics
- Software Engineering Research (8 papers)Software Engineering Techniques and Practices (7 papers)Online Learning and Analytics (6 papers)
In The Last Decade
Roberta Fagundes
30 papers receiving 222 citations
Peers
Comparison fields: 5 of 61
- Information Systems 79
- Artificial Intelligence 79
- Computer Vision and Pattern Recognition 42
- Computer Science Applications 37
- Software 31
Countries citing papers authored by Roberta Fagundes
This map shows the geographic impact of Roberta Fagundes'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 Roberta Fagundes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Fagundes more than expected).
Fields of papers citing papers by Roberta Fagundes
This network shows the impact of papers produced by Roberta Fagundes. 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 Roberta Fagundes. The network helps show where Roberta Fagundes may publish in the future.
Co-authorship network of co-authors of Roberta Fagundes
This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Fagundes. A scholar is included among the top collaborators of Roberta Fagundes 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 Roberta Fagundes. Roberta Fagundes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 28 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 34 | |
| 13 | 0 | |
| 14 | Educational Data Mining: A Hybrid Approach to Predicting Academic Performance of Students. | 2 |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Software Defect Estimation using Support Vector Regression. | 1 |
| 20 | 4 |
About Roberta Fagundes
Roberta Fagundes is a scholar working on Computer Science Applications, Software and Information Systems, having authored 39 papers that have together received 241 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Software Engineering Techniques and Practices (7 papers) and Online Learning and Analytics (6 papers). The work is most often cited by research in Software (31 citations), Computer Science Applications (37 citations) and Health Information Management (17 citations). Roberta Fagundes has collaborated with scholars based in Brazil, Italy and Finland. Frequent co-authors include Telmo M. Silva Filho, Wellington Pinheiro dos Santos, Bruno Fernandes, Pablo Barros, Valentina Lenarduzzi, Renata M.C.R. de Souza, Daniel Ferreira, João Pimentel, Francisco José A. Cysneiros and Fernando Buarque de Lima Neto. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Journal of Systems and Software.
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.