Andrea Bianchi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Mechanical Engineering
- Co-authors
- Daniela UshizimaCláudia Martins CarneiroMariana T. RezendeFátima N. S. de MedeirosFlávio H. D. AraújoRomuere SilvaZhi LuRicardo Oliveira
- Topics
- AI in cancer detection (20 papers)Digital Imaging for Blood Diseases (12 papers)Cervical Cancer and HPV Research (10 papers)
- Partner nations
- BrazilUnited StatesPortugal
In The Last Decade
Andrea Bianchi
64 papers receiving 694 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 360
- Computer Vision and Pattern Recognition 265
- Epidemiology 176
- Radiology, Nuclear Medicine and Imaging 120
- Mechanical Engineering 94
Countries citing papers authored by Andrea Bianchi
This map shows the geographic impact of Andrea Bianchi'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 Andrea Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Bianchi more than expected).
Fields of papers citing papers by Andrea Bianchi
This network shows the impact of papers produced by Andrea Bianchi. 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 Andrea Bianchi. The network helps show where Andrea Bianchi may publish in the future.
Co-authorship network of co-authors of Andrea Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bianchi. A scholar is included among the top collaborators of Andrea Bianchi 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 Andrea Bianchi. Andrea Bianchi 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 33 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 24 | |
| 13 | 38 | |
| 14 | 13 | |
| 15 | 87 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | [Evaluation of risk and acoustic damage in a department of metallic carpentry]. | 1 |
About Andrea Bianchi
Andrea Bianchi is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 72 papers that have together received 720 indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Digital Imaging for Blood Diseases (12 papers) and Cervical Cancer and HPV Research (10 papers). The work is most often cited by research in Biophysics (84 citations), Computer Vision and Pattern Recognition (265 citations) and Artificial Intelligence (360 citations). Andrea Bianchi has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Daniela Ushizima, Cláudia Martins Carneiro, Mariana T. Rezende, Fátima N. S. de Medeiros, Flávio H. D. Araújo, Romuere Silva, Zhi Lu, Ricardo Oliveira, Masoud S. Nosrati and Andrew P. Bradley. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Polymer.
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.