Carlos Guedes
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 2%
- Cognitive Neuroscience
- Music top 2%
- Artificial Intelligence
- Co-authors
- Ana RebeloJaime S. CardosoA. MarçalIchiro FujinagaGeorge SiorosJoaquim Pinto da CostaMatthew E. P. DaviesFabien Gouyon
- Topics
- Music and Audio Processing (33 papers)Music Technology and Sound Studies (31 papers)Neuroscience and Music Perception (15 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMarine Ecology Progress SeriesDisease Markers
- Partner nations
- PortugalUnited StatesUnited Arab Emirates
In The Last Decade
Carlos Guedes
42 papers receiving 392 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 322
- Signal Processing 308
- Cognitive Neuroscience 99
- Music 51
- Artificial Intelligence 26
Countries citing papers authored by Carlos Guedes
This map shows the geographic impact of Carlos Guedes'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 Carlos Guedes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Guedes more than expected).
Fields of papers citing papers by Carlos Guedes
This network shows the impact of papers produced by Carlos Guedes. 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 Carlos Guedes. The network helps show where Carlos Guedes may publish in the future.
Co-authorship network of co-authors of Carlos Guedes
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Guedes. A scholar is included among the top collaborators of Carlos Guedes 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 Carlos Guedes. Carlos Guedes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | A Method for Music Symbols Extraction based on Musical Rules | 7 |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | A real-time human body skeletonization algorithm for Max/MSP/Jitter | 0 |
| 15 | 66 | |
| 16 | Multidimensional microtiming in Samba music | 1 |
| 17 | INTEGRATED RECOGNITION SYSTEM FOR MUSIC SCORES | 2 |
| 18 | STUDIO REPORT: DIGITÓPIA AT CASA DA MÚSICA | 2 |
| 19 | 6 | |
| 20 | 2 |
About Carlos Guedes
Carlos Guedes is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music, having authored 46 papers that have together received 415 indexed citations. Recurring topics across this work include Music and Audio Processing (33 papers), Music Technology and Sound Studies (31 papers) and Neuroscience and Music Perception (15 papers). The work is most often cited by research in Signal Processing (308 citations), Music (51 citations) and Computer Vision and Pattern Recognition (322 citations). Carlos Guedes has collaborated with scholars based in Portugal, United States and United Arab Emirates. Frequent co-authors include Ana Rebelo, Jaime S. Cardoso, A. Marçal, Ichiro Fujinaga, George Sioros, Joaquim Pinto da Costa, Matthew E. P. Davies, Fabien Gouyon, Marc Leman and Maximino Bessa. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Marine Ecology Progress Series and Disease Markers.
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.