Roberta B. Oliveira
- Oncology top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Biomedical Engineering
- Co-authors
- João Manuel R. S. TavaresAledir Silveira PereiraJoão Paulo PapaM. FilhoZhen MaNorian MarranghelloMaristela HolandaAletéia Araújo
- Topics
- Cutaneous Melanoma Detection and Management (10 papers)AI in cancer detection (6 papers)Teaching and Learning Programming (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsComputer Methods and Programs in Biomedicine
In The Last Decade
Roberta B. Oliveira
20 papers receiving 520 citations
Peers
Comparison fields: 5 of 77
- Oncology 388
- Artificial Intelligence 292
- Computer Vision and Pattern Recognition 125
- Epidemiology 122
- Biomedical Engineering 73
Countries citing papers authored by Roberta B. Oliveira
This map shows the geographic impact of Roberta B. Oliveira'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 B. Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta B. Oliveira more than expected).
Fields of papers citing papers by Roberta B. Oliveira
This network shows the impact of papers produced by Roberta B. Oliveira. 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 B. Oliveira. The network helps show where Roberta B. Oliveira may publish in the future.
Co-authorship network of co-authors of Roberta B. Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of Roberta B. Oliveira. A scholar is included among the top collaborators of Roberta B. Oliveira 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 B. Oliveira. Roberta B. Oliveira 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 45 | |
| 13 | 40 | |
| 14 | 180 | |
| 15 | 150 | |
| 16 | 86 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Método de detecção e classificação de lesões de pele em imagens digitais a partir do modelo Chan-Vese e máquina de vetor de suporte | 3 |
About Roberta B. Oliveira
Roberta B. Oliveira is a scholar working on Computer Science Applications, General Dentistry and Information Systems and Management, having authored 22 papers that have together received 540 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (10 papers), AI in cancer detection (6 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Oncology (388 citations), Artificial Intelligence (292 citations) and Biophysics (40 citations). Roberta B. Oliveira has collaborated with scholars based in Brazil, Portugal and Indonesia. Frequent co-authors include João Manuel R. S. Tavares, Aledir Silveira Pereira, João Paulo Papa, M. Filho, Zhen Ma, Norian Marranghello, Maristela Holanda, Aletéia Araújo, Dante Augusto Couto Barone and Dilma Da Silva. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computer Methods and Programs in Biomedicine.
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.