Mauricio Araya

507 total citations
35 papers, 234 citations indexed

About

Mauricio Araya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Mauricio Araya has authored 35 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Mechanics. Recurrent topics in Mauricio Araya's work include Astronomical Observations and Instrumentation (6 papers), Genomics and Phylogenetic Studies (3 papers) and Reinforcement Learning in Robotics (3 papers). Mauricio Araya is often cited by papers focused on Astronomical Observations and Instrumentation (6 papers), Genomics and Phylogenetic Studies (3 papers) and Reinforcement Learning in Robotics (3 papers). Mauricio Araya collaborates with scholars based in Chile, France and United States. Mauricio Araya's co-authors include Olivier Buffet, François Charpillet, Nicolás Jara, Carlos Buil-Aranda, Francisco Mena, Michael Seeger, Beatriz Cámara, Andrés Cumsille, Mauricio Solar and Hongbo Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Sensors.

In The Last Decade

Mauricio Araya

30 papers receiving 219 citations

Peers

Mauricio Araya
Comparison fields: 5 of 93
  • Artificial Intelligence 72
  • Computer Vision and Pattern Recognition 38
  • Molecular Biology 35
  • Control and Systems Engineering 26
  • Computer Networks and Communications 24
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Citations per field, relative to Mauricio Araya
Mauricio Araya · 1×
Citations per year, relative to Mauricio Araya
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Countries citing papers authored by Mauricio Araya

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio Araya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Araya

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Araya. A scholar is included among the top collaborators of Mauricio Araya 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 Mauricio Araya. Mauricio Araya 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
# Work Indexed citations
1 1
2 0
3 1
4 46
5 1
6 11
7 9
8
Docker-based Implementation for an Astronomical Data Analysis Cloud Service
0
9 1
10 3
11 4
12 4
13 0
14 2
15
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
8
16
A POMDP Extension with Belief-dependent Rewards
53
17 1
18
A POMDP Extension with Belief-dependent Rewards (Extended Version)
2
19 1
20 18

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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