Solon A. Peixoto
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Pedro P. Rebouças FilhoRaul Victor M. da NóbregaVictor Hugo C. de AlbuquerqueSuane Pires P. da SilvaArun Kumar SangaiahD. Jude HemanthMohammad Mehedi HassanM. Ali Akber Dewan
- Topics
- Medical Image Segmentation Techniques (6 papers)AI in cancer detection (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
In The Last Decade
Solon A. Peixoto
15 papers receiving 345 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 149
- Artificial Intelligence 121
- Pulmonary and Respiratory Medicine 77
- Oncology 72
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Solon A. Peixoto
This map shows the geographic impact of Solon A. Peixoto'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 Solon A. Peixoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solon A. Peixoto more than expected).
Fields of papers citing papers by Solon A. Peixoto
This network shows the impact of papers produced by Solon A. Peixoto. 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 Solon A. Peixoto. The network helps show where Solon A. Peixoto may publish in the future.
Co-authorship network of co-authors of Solon A. Peixoto
This figure shows the co-authorship network connecting the top 25 collaborators of Solon A. Peixoto. A scholar is included among the top collaborators of Solon A. Peixoto 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 Solon A. Peixoto. Solon A. Peixoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 28 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 16 | |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 21 | |
| 10 | 43 | |
| 11 | 47 | |
| 12 | 17 | |
| 13 | 105 | |
| 14 | 14 | |
| 15 | 2 |
About Solon A. Peixoto
Solon A. Peixoto is a scholar working on Computer Vision and Pattern Recognition, Neurology and Health Information Management, having authored 15 papers that have together received 359 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), AI in cancer detection (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (149 citations), Artificial Intelligence (121 citations) and Neurology (28 citations). Solon A. Peixoto has collaborated with scholars based in Brazil, India and Canada. Frequent co-authors include Pedro P. Rebouças Filho, Raul Victor M. da Nóbrega, Victor Hugo C. de Albuquerque, Suane Pires P. da Silva, Arun Kumar Sangaiah, D. Jude Hemanth, Mohammad Mehedi Hassan, M. Ali Akber Dewan, Tao Han and Navar Medeiros M. Nascimento. Their work appears in journals such as Applied Soft Computing, Future Generation Computer Systems and Image and Vision Computing.
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.