Raquel Prado

1.1k citations
38 papers · 546 indexed · h-index 12
Topics
Functional Brain Connectivity Studies (8 papers)Bayesian Methods and Mixture Models (7 papers)Statistical Methods and Inference (5 papers)

In The Last Decade

Raquel Prado

35 papers receiving 525 citations

Peers

Raquel Prado
Comparison fields: 5 of 117
  • Artificial Intelligence 147
  • Statistics and Probability 111
  • Signal Processing 106
  • Economics and Econometrics 104
  • Cognitive Neuroscience 87
Replace M. M. Gabr with:
M. M. Gabr Egypt
Matthew Reimherr United States
Connor J. Dalzell Canada
Haipeng Shen United States
Granville Tunnicliffe‐Wilson Ghana
Pierre Lafaye de Micheaux France
Diana Mendes Portugal
Georgy Shevlyakov Russia
Wallace E. Larimore United States
Taeryon Choi South Korea
Raquel Prado relative to M. M. Gabr Egypt M. M. Gabr's profile →
Citations per field
00.5×10.7×
M. M. Gabr · 1×
Citations per year

Countries citing papers authored by Raquel Prado

Since Specialization
Citations

This map shows the geographic impact of Raquel Prado'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 Raquel Prado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Prado more than expected).

Fields of papers citing papers by Raquel Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel Prado. 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 Raquel Prado. The network helps show where Raquel Prado may publish in the future.

Co-authorship network of co-authors of Raquel Prado

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Prado. A scholar is included among the top collaborators of Raquel Prado 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 Raquel Prado. Raquel Prado 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
#WorkIndexed citations
1 1
2 1
3 6
4 2
5 3
6 6
7 2
8 16
9 16
10 0
11 9
12 1
13 8
14 7
15 113
16 5
17 0
18 23
19 17
20 2

About Raquel Prado

Raquel Prado is a scholar working on Computational Mathematics, Signal Processing and Health Informatics, having authored 38 papers that have together received 546 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Statistics and Probability (111 citations), Computational Mathematics (7 citations) and Signal Processing (106 citations). Raquel Prado has collaborated with scholars based in United States, Venezuela and Saudi Arabia. Frequent co-authors include Mike West, Mike West, Andrew D. Krystal, Hernando Ombao, Francisco Javier Molina, Athanasios Kottas, Henry Greenside, Stella Huo, Richard D. Weiner and Lelys Bravo de Guenni. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

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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