Ricardo Cao
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Management Science and Operations Research top 5%
- Co-authors
- Wenceslao González–ManteigaGermán AneirosJuan Manuel Vilar FernándezIgnacio López‐de‐UllibarriAntonio CuevasCang‐Bao XuMaría Amalia JácomeWei Zhang
- Topics
- Statistical Methods and Inference (69 papers)Bayesian Methods and Mixture Models (20 papers)Statistical Methods and Bayesian Inference (18 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
In The Last Decade
Ricardo Cao
157 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 184
- Statistics and Probability 897
- Artificial Intelligence 429
- Molecular Biology 394
- Electrical and Electronic Engineering 188
- Management Science and Operations Research 175
Countries citing papers authored by Ricardo Cao
This map shows the geographic impact of Ricardo Cao'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 Ricardo Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Cao more than expected).
Fields of papers citing papers by Ricardo Cao
This network shows the impact of papers produced by Ricardo Cao. 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 Ricardo Cao. The network helps show where Ricardo Cao may publish in the future.
Co-authorship network of co-authors of Ricardo Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Cao. A scholar is included among the top collaborators of Ricardo Cao 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 Ricardo Cao. Ricardo Cao 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 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 18 | |
| 14 | 107 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 24 | |
| 19 | 31 | |
| 20 | NONPARAMETRIC CURVE ESTIMATION: AN OVERVIEW | 4 |
About Ricardo Cao
Ricardo Cao is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 164 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (69 papers), Bayesian Methods and Mixture Models (20 papers) and Statistical Methods and Bayesian Inference (18 papers). The work is most often cited by research in Statistics and Probability (897 citations), Statistics, Probability and Uncertainty (128 citations) and Management Science and Operations Research (175 citations). Ricardo Cao has collaborated with scholars based in Spain, China and Belgium. Frequent co-authors include Wenceslao González–Manteiga, Germán Aneiros, Juan Manuel Vilar Fernández, Ignacio López‐de‐Ullibarri, Antonio Cuevas, Cang‐Bao Xu, María Amalia Jácome, Wei Zhang, Salvador Naya and Ricardo Fraiman. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.