Danilo Alvares
- Education top 10%
- Developmental and Educational Psychology top 10%
- Statistics and Probability top 5%
- Computer Science Applications top 10%
- Information Systems
- Co-authors
- Miguél NussbaumJulián GoñiCarmen ArmeroAnabel ForteCatherine LeeSebastien HaneuseMontserrat RuéPetros Koutrakis
- Topics
- Statistical Methods and Inference (10 papers)Statistical Methods and Bayesian Inference (8 papers)Bayesian Methods and Mixture Models (6 papers)
- Cited by
- Computer Science ApplicationsStatistics and ProbabilityDevelopmental and Educational Psychology
- Partner nations
- ChileUnited KingdomSpain
In The Last Decade
Danilo Alvares
37 papers receiving 374 citations
Peers
Comparison fields: 5 of 116
- Education 136
- Developmental and Educational Psychology 70
- Statistics and Probability 53
- Computer Science Applications 36
- Information Systems 33
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-authorship network of co-authors of Danilo Alvares
This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Alvares. A scholar is included among the top collaborators of Danilo Alvares 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 Danilo Alvares. Danilo Alvares 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 34 | |
| 13 | 69 | |
| 14 | 0 | |
| 15 | 20 | |
| 16 | 22 | |
| 17 | 29 | |
| 18 | 22 | |
| 19 | 8 | |
| 20 | Exploring Bayesian models to evaluate control procedures for plant disease | 3 |
About Danilo Alvares
Danilo Alvares is a scholar working on Statistics and Probability, Aging and Developmental and Educational Psychology, having authored 42 papers that have together received 385 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (8 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Computer Science Applications (36 citations), Statistics and Probability (53 citations) and Developmental and Educational Psychology (70 citations). Danilo Alvares has collaborated with scholars based in Chile, United Kingdom and Spain. Frequent co-authors include Miguél Nussbaum, Julián Goñi, Carmen Armero, Anabel Forte, Catherine Lee, Sebastien Haneuse, Montserrat Rué, Petros Koutrakis, Lluís Blanch and Joel Schwartz. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Computers in Human Behavior.
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.