Antonio Cuevas
- Statistics and Probability top 0.2%
- Artificial Intelligence top 2%
- Statistics, Probability and Uncertainty top 1%
- Applied Mathematics top 5%
- Molecular Biology
- Co-authors
- Ricardo FraimanManuel Febrero–BandeWenceslao González–ManteigaRicardo CaoAlberto Rodríguez‐CasalJosé R. BerrenderoAmparo Baı́lloJuan A. Cuesta‐Albertos
- Topics
- Statistical Methods and Inference (41 papers)Advanced Statistical Methods and Models (25 papers)Bayesian Methods and Mixture Models (19 papers)
In The Last Decade
Antonio Cuevas
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 161
- Statistics and Probability 1.2k
- Artificial Intelligence 645
- Statistics, Probability and Uncertainty 259
- Applied Mathematics 184
- Molecular Biology 170
Countries citing papers authored by Antonio Cuevas
This map shows the geographic impact of Antonio Cuevas'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 Antonio Cuevas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Cuevas more than expected).
Fields of papers citing papers by Antonio Cuevas
This network shows the impact of papers produced by Antonio Cuevas. 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 Antonio Cuevas. The network helps show where Antonio Cuevas may publish in the future.
Co-authorship network of co-authors of Antonio Cuevas
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Cuevas. A scholar is included among the top collaborators of Antonio Cuevas 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 Antonio Cuevas. Antonio Cuevas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | A nonparametric approach to the estimation of lengths and surface areas | 2 |
| 4 | 11 | |
| 5 | Stochastic detection of some topological and geometric feature | 1 |
| 6 | 30 | |
| 7 | 13 | |
| 8 | 40 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 53 | |
| 16 | 67 | |
| 17 | 39 | |
| 18 | 59 | |
| 19 | 3 | |
| 20 | 9 |
About Antonio Cuevas
Antonio Cuevas is a scholar working on Statistics and Probability, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (41 papers), Advanced Statistical Methods and Models (25 papers) and Bayesian Methods and Mixture Models (19 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (259 citations) and Artificial Intelligence (645 citations). Antonio Cuevas has collaborated with scholars based in Spain, Argentina and Uruguay. Frequent co-authors include Ricardo Fraiman, Manuel Febrero–Bande, Wenceslao González–Manteiga, Ricardo Cao, Alberto Rodríguez‐Casal, José R. Berrendero, Amparo Baı́llo, Juan A. Cuesta‐Albertos, Beatriz Pateiro‐López and Ana Justel. Their work appears in journals such as Journal of the American Statistical Association, Magnetic Resonance in Medicine and The Annals of Statistics.
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.