Guilherme Ruppert
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Co-authors
- Tiago CarvalhoEdmar RezendeFábio RamosPaulo Lício de GeusAlexandre X. FalcãoPaulo AmorimJorge Vicente Lopes da SilvaThiago Moraes
- Topics
- Medical Image Segmentation Techniques (9 papers)Brain Tumor Detection and Classification (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- World Journal of UrologyComputer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
- Partner nations
- BrazilUnited States
In The Last Decade
Guilherme Ruppert
12 papers receiving 385 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 210
- Artificial Intelligence 89
- Signal Processing 76
- Radiology, Nuclear Medicine and Imaging 60
- Computer Networks and Communications 58
Countries citing papers authored by Guilherme Ruppert
This map shows the geographic impact of Guilherme Ruppert'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 Guilherme Ruppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilherme Ruppert more than expected).
Fields of papers citing papers by Guilherme Ruppert
This network shows the impact of papers produced by Guilherme Ruppert. 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 Guilherme Ruppert. The network helps show where Guilherme Ruppert may publish in the future.
Co-authorship network of co-authors of Guilherme Ruppert
This figure shows the co-authorship network connecting the top 25 collaborators of Guilherme Ruppert. A scholar is included among the top collaborators of Guilherme Ruppert 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 Guilherme Ruppert. Guilherme Ruppert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 185 | |
| 3 | 23 | |
| 4 | 12 | |
| 5 | 17 | |
| 6 | 82 | |
| 7 | 10 | |
| 8 | 38 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | Fast and Accurate Image Registration Using the Multiscale Parametric Space and Grayscale Watershed Transform | 1 |
| 12 | 12 |
About Guilherme Ruppert
Guilherme Ruppert is a scholar working on Neurology, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 403 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Brain Tumor Detection and Classification (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Human-Computer Interaction (53 citations) and Signal Processing (76 citations). Guilherme Ruppert has collaborated with scholars based in Brazil and United States. Frequent co-authors include Tiago Carvalho, Edmar Rezende, Fábio Ramos, Paulo Lício de Geus, Alexandre X. Falcão, Paulo Amorim, Jorge Vicente Lopes da Silva, Thiago Moraes, Leonardo Oliveira Reis and Yanxi Liu. Their work appears in journals such as World Journal of Urology and Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization.
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.