Rodrigo Salas

1.6k total citations
86 papers, 905 citations indexed

About

Rodrigo Salas is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research. According to data from OpenAlex, Rodrigo Salas has authored 86 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Management Science and Operations Research. Recurrent topics in Rodrigo Salas's work include Neural Networks and Applications (11 papers), Hydrological Forecasting Using AI (6 papers) and Fuzzy Logic and Control Systems (6 papers). Rodrigo Salas is often cited by papers focused on Neural Networks and Applications (11 papers), Hydrological Forecasting Using AI (6 papers) and Fuzzy Logic and Control Systems (6 papers). Rodrigo Salas collaborates with scholars based in Chile, Spain and Brazil. Rodrigo Salas's co-authors include Romina Torres, Héctor Allende‐Cid, Hernán Astudillo, Stéren Chabert, Héctor Allende, Javier Linkolk López‐Gonzales, Paulo Canas Rodrigues, Fabián Pardo, Claudio Moraga and Luis Sobrevía and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Rodrigo Salas

75 papers receiving 875 citations

Peers

Rodrigo Salas
Comparison fields: 5 of 152
  • Artificial Intelligence 229
  • Electrical and Electronic Engineering 143
  • Environmental Engineering 139
  • Management Science and Operations Research 115
  • Information Systems 101
Replace Siyu Lu with:
Siyu Lu China
Nonita Sharma India
Ibrahim Gad Egypt
Roberto Corizzo United States
Emmanuel Pintelas Greece
Belal Abuhaija China
Vasilis Papastefanopoulos Greece
Pantelis Linardatos Greece
Aleksandar Petrović Serbia
Siyu Lu China View profile →
Citations per field, relative to Rodrigo Salas
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Citations per year, relative to Rodrigo Salas
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Countries citing papers authored by Rodrigo Salas

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Salas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Salas

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Salas. A scholar is included among the top collaborators of Rodrigo Salas 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 Rodrigo Salas. Rodrigo Salas 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 3
5 0
6 1
7 2
8 1
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10 1
11 3
12 4
13 2
14 12
15 6
16 9
17 6
18
Robust estimation of confidence interval in neural networks applied to time series
1
19
Artificial neural networks in time series forecasting: a comparative analysis
48
20
Los 1500 errores más frecuentes de español
1

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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