Danilo Alvares
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
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- Innovative Teaching and Learning Methods
Papers in
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- Statistical Methods and Inference 9
- Statistical Methods and Bayesian Inference 7
- Statistical Methods in Clinical Trials 3
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Miguél Nussbaum (10 shared papers)Julián Goñi (3 shared papers)Carmen Armero (7 shared papers)Anabel Forte (5 shared papers)Catherine Lee (1 shared paper)Eleni‐Rosalina Andrinopoulou (1 shared paper)Montserrat Rué (1 shared paper)Sebastien Haneuse (1 shared paper)
- Journals
- Statistics in Medicine (3 papers)Statistics and Computing (3 papers)Statistical Methods in Medical Research (2 papers)Biometrical Journal (2 papers)BMC Medical Research Methodology (1 paper)
- Partner nations
- ChileUnited KingdomUnited States
In The Last Decade
Danilo Alvares
37 papers receiving 395 citations
Peers
Comparison fields: 5 of 114
- Computer Science Applications 36
- Developmental and Educational Psychology 74
- Statistics and Probability 48
- Education 144
- Critical Care and Intensive Care Medicine 10
Countries citing papers authored by Danilo Alvares
This map shows the geographic impact of Danilo Alvares'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 Danilo Alvares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Alvares more than expected).
Fields of papers citing papers by Danilo Alvares
This network shows the impact of papers produced by Danilo Alvares. 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 Danilo Alvares. The network helps show where Danilo Alvares may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Alvares, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 2022 | 38 | |
| 3 | 2017 | 33 | |
| 4 | 2019 | 29 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2022 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2022 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2007 | 4 |
About Danilo Alvares
Danilo Alvares is a scholar working on Statistics and Probability, Epidemiology, Artificial Intelligence, Education and Developmental and Educational Psychology, having authored 44 papers that have together received 407 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (7 papers), Innovative Teaching and Learning Methods (6 papers), Bayesian Methods and Mixture Models (5 papers), Innovative Teaching Methods (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Statistical Methods in Clinical Trials (3 papers) and Education and Critical Thinking Development (3 papers). The work is most often cited by research in Computer Science Applications (36 citations), Developmental and Educational Psychology (74 citations), Statistics and Probability (48 citations), Education (144 citations) and Critical Care and Intensive Care Medicine (10 citations). Danilo Alvares has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Miguél Nussbaum, Julián Goñi, Carmen Armero, Anabel Forte, Catherine Lee, Eleni‐Rosalina Andrinopoulou, Montserrat Rué, Sebastien Haneuse, Lluís Blanch and Joel Schwartz. Their work appears in journals such as Statistics in Medicine, Statistics and Computing, Statistical Methods in Medical Research, Biometrical Journal and BMC Medical Research Methodology.
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.