Roberto Araya
- Molecular Biology
- Education top 5%
- Developmental and Educational Psychology top 10%
- Statistics and Probability top 5%
- Infectious Diseases top 10%
- Co-authors
- Robert S. SieglerJuan C. SáezKlaus WilleckeDominik EckardtManuel A. RiquelmeMartin TheisMarco Luis HerreraLuis Eduardo Veras PINTO
- Topics
- Online Learning and Analytics (14 papers)Statistics Education and Methodologies (6 papers)Innovative Teaching and Learning Methods (5 papers)
- Cited by
- Statistics and ProbabilityComputer Science ApplicationsDevelopmental and Educational Psychology
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cell ScienceBrain Research Reviews
- Partner nations
- ChileUnited StatesFinland
In The Last Decade
Roberto Araya
50 papers receiving 767 citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 263
- Education 151
- Developmental and Educational Psychology 123
- Statistics and Probability 119
- Infectious Diseases 117
Countries citing papers authored by Roberto Araya
This map shows the geographic impact of Roberto 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 Roberto Araya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Araya more than expected).
Fields of papers citing papers by Roberto Araya
This network shows the impact of papers produced by Roberto 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 Roberto Araya. The network helps show where Roberto Araya may publish in the future.
Co-authorship network of co-authors of Roberto Araya
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Araya. A scholar is included among the top collaborators of Roberto 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 Roberto Araya. Roberto Araya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | Impact of a blended ICT adoption model on Chilean vulnerable schools correlates with amount of on online practice. | 4 |
| 15 | 8 | |
| 16 | 23 | |
| 17 | Hardware Device Simulation Framework in the ALMA Control Subsystem | 7 |
| 18 | 119 | |
| 19 | 53 | |
| 20 | 13 |
About Roberto Araya
Roberto Araya is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Statistics and Probability, having authored 56 papers that have together received 803 indexed citations. Recurring topics across this work include Online Learning and Analytics (14 papers), Statistics Education and Methodologies (6 papers) and Innovative Teaching and Learning Methods (5 papers). The work is most often cited by research in Statistics and Probability (119 citations), Computer Science Applications (74 citations) and Developmental and Educational Psychology (123 citations). Roberto Araya has collaborated with scholars based in Chile, United States and Finland. Frequent co-authors include Robert S. Siegler, Juan C. Sáez, Klaus Willecke, Dominik Eckardt, Manuel A. Riquelme, Martin Theis, Marco Luis Herrera, Luis Eduardo Veras PINTO, Thomas J. Walsh and Carla Odio. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cell Science and Brain Research Reviews.
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.