Raphael Y. de Camargo

598 total citations
42 papers, 258 citations indexed

About

Raphael Y. de Camargo is a scholar working on Computer Networks and Communications, Cognitive Neuroscience and Hardware and Architecture. According to data from OpenAlex, Raphael Y. de Camargo has authored 42 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 13 papers in Cognitive Neuroscience and 13 papers in Hardware and Architecture. Recurrent topics in Raphael Y. de Camargo's work include Distributed and Parallel Computing Systems (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Neural dynamics and brain function (10 papers). Raphael Y. de Camargo is often cited by papers focused on Distributed and Parallel Computing Systems (14 papers), Parallel Computing and Optimization Techniques (13 papers) and Neural dynamics and brain function (10 papers). Raphael Y. de Camargo collaborates with scholars based in Brazil, France and United Kingdom. Raphael Y. de Camargo's 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 and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Advances.

In The Last Decade

Raphael Y. de Camargo

41 papers receiving 246 citations

Peers

Raphael Y. de Camargo
Minwoo Kim South Korea
K.Q. Yan Taiwan
Onur Cezmi Mutlu United States
Lin Ding China
Eoin Brazil Ireland
Daniele Perito United States
Karel Hynek Czechia
Wei Tao China
Minwoo Kim South Korea
Raphael Y. de Camargo
Citations per year, relative to Raphael Y. de Camargo Raphael Y. de Camargo (= 1×) peers Minwoo Kim

Countries citing papers authored by Raphael Y. de Camargo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Corsi, Marie‐Constance, et al.. (2024). Geometric neural network based on phase space for BCI-EEG decoding. Journal of Neural Engineering. 22(1). 16049–16049. 3 indexed citations
2.
Pinaya, Walter Hugo Lopez, et al.. (2023). Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. 1–5. 2 indexed citations
3.
Camargo, Raphael Y. de, Sylvain Chevallier, Adam G. Thomas, et al.. (2023). Synthetic Sleep EEG Signal Generation using Latent Diffusion Models. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
4.
Camargo, Raphael Y. de, et al.. (2023). Real-time Incident Detection in Public Bus Systems Using Machine Learning. 2044–2049. 1 indexed citations
5.
Cravo, André M., et al.. (2022). Time experience during social distancing: A longitudinal study during the first months of COVID-19 pandemic in Brazil. Science Advances. 8(15). eabj7205–eabj7205. 23 indexed citations
6.
Camargo, Raphael Y. de, et al.. (2022). Improving the performance of batch schedulers using online job runtime classification. Journal of Parallel and Distributed Computing. 164. 83–95.
7.
Camargo, Raphael Y. de, et al.. (2022). Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. Journal of Parallel and Distributed Computing. 171. 66–78. 4 indexed citations
8.
Mejías, Jorge F., et al.. (2021). Directed functional and structural connectivity in a large-scale model for the mouse cortex. Network Neuroscience. 5(4). 874–889. 3 indexed citations
9.
Camargo, Raphael Y. de, et al.. (2019). Evaluation of connectivity estimates using spiking neuronal network models. Biological Cybernetics. 113(3). 309–320. 5 indexed citations
10.
Cravo, André M., et al.. (2019). Dissociating the sequential dependency of subjective temporal order from subjective simultaneity. PLoS ONE. 14(10). e0223184–e0223184. 9 indexed citations
11.
Caetano, Marcelo S., et al.. (2019). A model for the peak-interval task based on neural oscillation-delimited states. Behavioural Processes. 168. 103941–103941. 1 indexed citations
12.
Camargo, Raphael Y. de, et al.. (2018). Heteroassociative storage of hippocampal pattern sequences in the CA3 subregion. PeerJ. 6. e4203–e4203. 6 indexed citations
13.
Sato, João Ricardo, et al.. (2018). A common representation of time across visual and auditory modalities. Neuropsychologia. 119. 223–232. 11 indexed citations
14.
Camargo, Raphael Y. de, et al.. (2017). Dynamic representation of time in brain states. Scientific Reports. 7(1). 46053–46053. 7 indexed citations
15.
Camargo, Raphael Y. de, et al.. (2014). A Parallel Maximum Subarray Algorithm on GPUs. 21. 12–17. 5 indexed citations
16.
Camargo, Raphael Y. de. (2012). A Load Distribution Algorithm Based on Profiling for Heterogeneous GPU Clusters. 1–6. 1 indexed citations
17.
Camargo, Raphael Y. de. (2011). A multi-GPU algorithm for communication in neuronal network simulations. 3994. 1–10. 4 indexed citations
18.
Silva, Francisco, Fábio Kon, Alfredo Goldman, et al.. (2010). Application execution management on the InteGrade opportunistic grid middleware. Journal of Parallel and Distributed Computing. 70(5). 573–583. 11 indexed citations
19.
Camargo, Raphael Y. de, Fernando Castor, & Fábio Kon. (2010). Reliable management of checkpointing and application data in opportunistic grids. Journal of the Brazilian Computer Society. 16(3). 177–190. 1 indexed citations
20.
Camargo, Raphael Y. de & Fábio Kon. (2007). Design and Implementation of a Middleware for Data Storage in Opportunistic Grids. 23–30. 7 indexed citations

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.

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