Raphael Y. de Camargo
- Computer Networks and Communications top 10%
- Hardware and Architecture top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Information Systems
- Co-authors
- Fábio KonAlfredo GoldmanDavid MartinsAndré M. CravoDaniel CordeiroR. CerqueiraFernando CastorMarcelo S. Caetano
- Topics
- Distributed and Parallel Computing Systems (14 papers)Parallel Computing and Optimization Techniques (13 papers)Neural dynamics and brain function (10 papers)
- Partner nations
- BrazilFranceUnited Kingdom
In The Last Decade
Raphael Y. de Camargo
41 papers receiving 246 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 112
- Hardware and Architecture 67
- Cognitive Neuroscience 52
- Artificial Intelligence 35
- Information Systems 33
Countries citing papers authored by Raphael Y. de Camargo
This map shows the geographic impact of Raphael Y. de Camargo'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 Raphael Y. de Camargo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Y. de Camargo more than expected).
Fields of papers citing papers by Raphael Y. de Camargo
This network shows the impact of papers produced by Raphael Y. de Camargo. 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 Raphael Y. de Camargo. The network helps show where Raphael Y. de Camargo may publish in the future.
Co-authorship network of co-authors of Raphael Y. de Camargo
This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Y. de Camargo. A scholar is included among the top collaborators of Raphael Y. de Camargo 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 Raphael Y. de Camargo. Raphael Y. de Camargo 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 | 2 | |
| 3 | Synthetic Sleep EEG Signal Generation using Latent Diffusion Models | 3 |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 7 |
About Raphael Y. de Camargo
Raphael Y. de Camargo is a scholar working on Hardware and Architecture, Computer Networks and Communications and Cognitive Neuroscience, having authored 42 papers that have together received 258 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Hardware and Architecture (67 citations), Computer Networks and Communications (112 citations) and Cognitive Neuroscience (52 citations). Raphael Y. de Camargo has collaborated with scholars based in Brazil, France and United Kingdom. Frequent co-authors include Fábio Kon, Alfredo Goldman, David Martins, André M. Cravo, Daniel Cordeiro, R. Cerqueira, Fernando Castor, Marcelo S. Caetano, Renato Cerqueira and Peter Claessens. Their work appears in journals such as PLoS ONE, Scientific Reports and Science Advances.
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.