Andreza Sartori
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Artificial Intelligence
- Social Psychology
- Co-authors
- Stéfano Frizzo StefenonNicu SebeLuiz Henrique MeyerAdemir NiedValderi Reis Quietinho LeithardtVictoria YanulevskayaJasper UijlingsElia Bruni
- Topics
- Aesthetic Perception and Analysis (6 papers)Visual Attention and Saliency Detection (4 papers)High voltage insulation and dielectric phenomena (4 papers)
In The Last Decade
Andreza Sartori
18 papers receiving 390 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 168
- Electrical and Electronic Engineering 104
- Cognitive Neuroscience 102
- Artificial Intelligence 69
- Social Psychology 50
Countries citing papers authored by Andreza Sartori
This map shows the geographic impact of Andreza Sartori'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 Andreza Sartori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreza Sartori more than expected).
Fields of papers citing papers by Andreza Sartori
This network shows the impact of papers produced by Andreza Sartori. 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 Andreza Sartori. The network helps show where Andreza Sartori may publish in the future.
Co-authorship network of co-authors of Andreza Sartori
This figure shows the co-authorship network connecting the top 25 collaborators of Andreza Sartori. A scholar is included among the top collaborators of Andreza Sartori 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 Andreza Sartori. Andreza Sartori 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 | 7 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 38 | |
| 7 | 0 | |
| 8 | 34 | |
| 9 | 1 | |
| 10 | 33 | |
| 11 | 5 | |
| 12 | 48 | |
| 13 | 40 | |
| 14 | 5 | |
| 15 | Looking at Mondrian's victory Boogie-Woogie: what do i feel? | 9 |
| 16 | 36 | |
| 17 | 29 | |
| 18 | 6 | |
| 19 | 77 |
About Andreza Sartori
Andreza Sartori is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Social Psychology, having authored 19 papers that have together received 401 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (6 papers), Visual Attention and Saliency Detection (4 papers) and High voltage insulation and dielectric phenomena (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (168 citations), Cognitive Neuroscience (102 citations) and Computer Graphics and Computer-Aided Design (14 citations). Andreza Sartori has collaborated with scholars based in Brazil, Italy and Portugal. Frequent co-authors include Stéfano Frizzo Stefenon, Nicu Sebe, Luiz Henrique Meyer, Ademir Nied, Valderi Reis Quietinho Leithardt, Victoria Yanulevskaya, Jasper Uijlings, Elia Bruni, Yan Yan and Dubravko Ćulibrk. Their work appears in journals such as Scientific Reports, IEEE Access and Electronics.
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.