A.F. Frere
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Psychiatry and Mental health
- Co-authors
- Ricardo J. FerrariRangaraj M. RangayyanJ. E. Leo DesautelsMarcelo Zanchetta do NascimentoHomero SchiabelPaulo Mazzoncini de Azevedo‐MarquesPedro ArezesAledir Silveira Pereira
- Topics
- Digital Radiography and Breast Imaging (7 papers)Medical Imaging Techniques and Applications (5 papers)AI in cancer detection (5 papers)
In The Last Decade
A.F. Frere
26 papers receiving 475 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 276
- Computer Vision and Pattern Recognition 222
- Radiology, Nuclear Medicine and Imaging 157
- Pulmonary and Respiratory Medicine 116
- Psychiatry and Mental health 56
Countries citing papers authored by A.F. Frere
This map shows the geographic impact of A.F. Frere'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 A.F. Frere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.F. Frere more than expected).
Fields of papers citing papers by A.F. Frere
This network shows the impact of papers produced by A.F. Frere. 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 A.F. Frere. The network helps show where A.F. Frere may publish in the future.
Co-authorship network of co-authors of A.F. Frere
This figure shows the co-authorship network connecting the top 25 collaborators of A.F. Frere. A scholar is included among the top collaborators of A.F. Frere 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 A.F. Frere. A.F. Frere is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 41 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 33 | |
| 7 | 19 | |
| 8 | 44 | |
| 9 | 153 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 0 | |
| 16 | 111 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 1 |
About A.F. Frere
A.F. Frere is a scholar working on Neuropsychology and Physiological Psychology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Artificial Intelligence (276 citations) and Radiology, Nuclear Medicine and Imaging (157 citations). A.F. Frere has collaborated with scholars based in Brazil, Canada and Portugal. Frequent co-authors include Ricardo J. Ferrari, Rangaraj M. Rangayyan, J. E. Leo Desautels, Marcelo Zanchetta do Nascimento, Homero Schiabel, Paulo Mazzoncini de Azevedo‐Marques, Pedro Arezes, Aledir Silveira Pereira, Adilson Gonzaga and Roberto Pereira. Their work appears in journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Medical Physics.
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.