Murilo B. de Carvalho
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Eduardo A. B. da SilvaNuno M. M. RodriguesSérgio M. M. de FariaVítor SilvaWeiler A. FinamoreCarla L. PagliariFernando PereiraVanessa Testoni
- Topics
- Advanced Data Compression Techniques (25 papers)Advanced Vision and Imaging (13 papers)Video Coding and Compression Technologies (13 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionCardiology and Cardiovascular Medicine
- Journals
- IEEE Transactions on Image ProcessingIEEE AccessIEEE Transactions on Biomedical Engineering
- Partner nations
- BrazilPortugalUnited States
In The Last Decade
Murilo B. de Carvalho
34 papers receiving 383 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 286
- Signal Processing 190
- Cardiology and Cardiovascular Medicine 69
- Artificial Intelligence 68
- Biomedical Engineering 64
Countries citing papers authored by Murilo B. de Carvalho
This map shows the geographic impact of Murilo B. de Carvalho'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 Murilo B. de Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murilo B. de Carvalho more than expected).
Fields of papers citing papers by Murilo B. de Carvalho
This network shows the impact of papers produced by Murilo B. de Carvalho. 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 Murilo B. de Carvalho. The network helps show where Murilo B. de Carvalho may publish in the future.
Co-authorship network of co-authors of Murilo B. de Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Murilo B. de Carvalho. A scholar is included among the top collaborators of Murilo B. de Carvalho 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 Murilo B. de Carvalho. Murilo B. de Carvalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 33 | |
| 13 | 19 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 5 | |
| 18 | 10 | |
| 19 | 16 | |
| 20 | 2 |
About Murilo B. de Carvalho
Murilo B. de Carvalho is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Acoustics and Ultrasonics, having authored 36 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (25 papers), Advanced Vision and Imaging (13 papers) and Video Coding and Compression Technologies (13 papers). The work is most often cited by research in Signal Processing (190 citations), Computer Vision and Pattern Recognition (286 citations) and Cardiology and Cardiovascular Medicine (69 citations). Murilo B. de Carvalho has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Eduardo A. B. da Silva, Nuno M. M. Rodrigues, Sérgio M. M. de Faria, Vítor Silva, Weiler A. Finamore, Carla L. Pagliari, Fernando Pereira, Vanessa Testoni, Wagner Meira and Adriano Veloso. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.