Ricardo A. Rios

577 citations
44 papers · 338 indexed · h-index 10
Topics
Time Series Analysis and Forecasting (12 papers)Data Stream Mining Techniques (7 papers)Complex Systems and Time Series Analysis (7 papers)
Journals
SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentScientific Reports
Partner nations
BrazilChileJapan

In The Last Decade

Ricardo A. Rios

38 papers receiving 321 citations

Peers

Ricardo A. Rios
Comparison fields: 5 of 86
  • Artificial Intelligence 152
  • Geophysics 67
  • Signal Processing 52
  • Electrical and Electronic Engineering 48
  • Computer Networks and Communications 39
Replace Yanbing Liu with:
Yanbing Liu China
Cristina Rubio-Escudero Spain
Xishuang Dong United States
Takumi Ichimura Japan
Ambuj Kumar Agarwal India
Hui-Chuan Chen United States
Luca Ferrari Italy
Cheng Qian China
Priyanka Tripathi India
Ricardo A. Rios relative to Yanbing Liu China Yanbing Liu's profile →
Citations per field
00.5×6.9×
Yanbing Liu · 1×
Citations per year

Countries citing papers authored by Ricardo A. Rios

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo A. Rios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricardo A. Rios. 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 Ricardo A. Rios. The network helps show where Ricardo A. Rios may publish in the future.

Co-authorship network of co-authors of Ricardo A. Rios

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo A. Rios. A scholar is included among the top collaborators of Ricardo A. Rios 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 Ricardo A. Rios. Ricardo A. Rios 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 0
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3 2
4 1
5 0
6 1
7 6
8 1
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11 1
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13 9
14 5
15 13
16 2
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18 21
19 35
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About Ricardo A. Rios

Ricardo A. Rios is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 44 papers that have together received 338 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (12 papers), Data Stream Mining Techniques (7 papers) and Complex Systems and Time Series Analysis (7 papers). The work is most often cited by research in Geophysics (67 citations), Signal Processing (52 citations) and Artificial Intelligence (152 citations). Ricardo A. Rios has collaborated with scholars based in Brazil, Chile and Japan. Frequent co-authors include Rodrigo Fernandes de Mello, Millaray Curilem, Fernando Huenupán, Eduardo R. Hruschka, Cássio Prazeres, Luis Franco, Fausto Guzzo da Costa, Paulo Pagliosa, Holger Lange and Lael Parrott. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

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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