Daniela Araya
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Applied Mathematics top 5%
- Nonlinear Differential Equations Analysis
- Differential Equations and Boundary Problems
Papers in
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- Escherichia coli research studies 3
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- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Carlos Lizama (3 shared papers)Roberto Vidal (3 shared papers)Marcela A. Hermoso (2 shared papers)Marjorie De la Fuente (2 shared papers)Douglas T. Golenbock (1 shared paper)Francisco López-Köstner (1 shared paper)María‐Julieta González (1 shared paper)Rodrigo Quera (1 shared paper)
- Journals
- Infection and Immunity (1 paper)Vaccine (1 paper)International Journal of Medical Microbiology (1 paper)International Journal of Molecular Sciences (1 paper)Nonlinear Analysis (1 paper)
- Partner nations
- ChileUnited StatesNetherlands
In The Last Decade
Daniela Araya
9 papers receiving 345 citations
Peers
Comparison fields: 5 of 70
- Modeling and Simulation 136
- Applied Mathematics 184
- Numerical Analysis 70
- Endocrinology 57
- Molecular Medicine 15
Countries citing papers authored by Daniela Araya
This map shows the geographic impact of Daniela 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 Daniela Araya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Araya more than expected).
Fields of papers citing papers by Daniela Araya
This network shows the impact of papers produced by Daniela 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 Daniela Araya. The network helps show where Daniela Araya may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Araya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 164 | |
| 2 | 2014 | 94 | |
| 3 | 2014 | 30 | |
| 4 | 2011 | 27 | |
| 5 | 2009 | 26 | |
| 6 | 2010 | 14 | |
| 7 | 2022 | 8 | |
| 8 | 2012 | 4 | |
| 9 | 2016 | 2 |
About Daniela Araya
Daniela Araya is a scholar working on Endocrinology, Infectious Diseases, Applied Mathematics, Molecular Biology and Control and Systems Engineering, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (3 papers), Escherichia coli research studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (2 papers), Bacteriophages and microbial interactions (2 papers), Gut microbiota and health (2 papers), Stability and Controllability of Differential Equations (2 papers) and Numerical methods for differential equations (1 paper). The work is most often cited by research in Modeling and Simulation (136 citations), Applied Mathematics (184 citations), Numerical Analysis (70 citations), Endocrinology (57 citations) and Molecular Medicine (15 citations). Daniela Araya has collaborated with scholars based in Chile, United States and Netherlands. Frequent co-authors include Carlos Lizama, Roberto Vidal, Marcela A. Hermoso, Marjorie De la Fuente, Douglas T. Golenbock, Francisco López-Köstner, María‐Julieta González, Rodrigo Quera, David Díaz-Jiménez and Gabriel Núñez. Their work appears in journals such as Infection and Immunity, Vaccine, International Journal of Medical Microbiology, International Journal of Molecular Sciences and Nonlinear Analysis.
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.