Jorge Rozeira
- Oncology top 5%
- Artificial Intelligence top 2%
- Epidemiology top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Jorge S. MarquesTeresa MendonçaA. MarçalPedro M. FerreiraMargarida SilveiraJacinto C. NascimentoJunji MaedaCarlos Barata
- Topics
- Cutaneous Melanoma Detection and Management (11 papers)AI in cancer detection (6 papers)melanin and skin pigmentation (4 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringComputer Vision and Image UnderstandingIEEE Journal of Selected Topics in Signal Processing
- Partner nations
- PortugalJapanUnited States
In The Last Decade
Jorge Rozeira
11 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Oncology 916
- Artificial Intelligence 695
- Epidemiology 251
- Computer Vision and Pattern Recognition 219
- Biomedical Engineering 188
Countries citing papers authored by Jorge Rozeira
This map shows the geographic impact of Jorge Rozeira'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 Jorge Rozeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Rozeira more than expected).
Fields of papers citing papers by Jorge Rozeira
This network shows the impact of papers produced by Jorge Rozeira. 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 Jorge Rozeira. The network helps show where Jorge Rozeira may publish in the future.
Co-authorship network of co-authors of Jorge Rozeira
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Rozeira. A scholar is included among the top collaborators of Jorge Rozeira 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 Jorge Rozeira. Jorge Rozeira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 42 | |
| 3 | PH<sup>2</sup> - A dermoscopic image database for research and benchmarkingbreakdown → | 578 |
| 4 | Evaluation of the Menzies method potential for automatic dermoscopic image analysis. | 8 |
| 5 | 81 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 309 | |
| 10 | 32 | |
| 11 | Automatic analysis of dermoscopy images - a review. | 1 |
| 12 | 4 |
About Jorge Rozeira
Jorge Rozeira is a scholar working on Oncology, Cell Biology and Dermatology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (11 papers), AI in cancer detection (6 papers) and melanin and skin pigmentation (4 papers). The work is most often cited by research in Oncology (916 citations), Artificial Intelligence (695 citations) and Biophysics (98 citations). Jorge Rozeira has collaborated with scholars based in Portugal, Japan and United States. Frequent co-authors include Jorge S. Marques, Teresa Mendonça, A. Marçal, Pedro M. Ferreira, Margarida Silveira, Jacinto C. Nascimento, Junji Maeda, Carlos Barata, Catarina Barata and M. Emre Celebi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Computer Vision and Image Understanding and IEEE Journal of Selected Topics in Signal Processing.
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.