Miguel A. Arcones
- Statistics and Probability top 0.5%
- Finance top 2%
- Artificial Intelligence top 5%
- Mathematical Physics top 5%
- Management Science and Operations Research top 5%
- Topics
- Statistical Methods and Inference (34 papers)Stochastic processes and financial applications (21 papers)Bayesian Methods and Mixture Models (17 papers)
- Journals
- Journal of the American Statistical AssociationThe Annals of StatisticsThe Annals of Probability
- Partner nations
- United StatesChina
In The Last Decade
Miguel A. Arcones
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 828
- Finance 386
- Artificial Intelligence 342
- Mathematical Physics 166
- Management Science and Operations Research 154
Countries citing papers authored by Miguel A. Arcones
This map shows the geographic impact of Miguel A. Arcones'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 Miguel A. Arcones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Arcones more than expected).
Fields of papers citing papers by Miguel A. Arcones
This network shows the impact of papers produced by Miguel A. Arcones. 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 Miguel A. Arcones. The network helps show where Miguel A. Arcones may publish in the future.
Co-authorship network of co-authors of Miguel A. Arcones
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Arcones. A scholar is included among the top collaborators of Miguel A. Arcones 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 Miguel A. Arcones. Miguel A. Arcones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 48 | |
| 15 | 25 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 8 | |
| 19 | Additions and correction to “The bootstrap of the mean with arbitrary bootstrap sample” | 17 |
| 20 | The bootstrap of the mean with arbitrary bootstrap sample size | 54 |
About Miguel A. Arcones
Miguel A. Arcones is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (34 papers), Stochastic processes and financial applications (21 papers) and Bayesian Methods and Mixture Models (17 papers). The work is most often cited by research in Statistics and Probability (828 citations), Finance (386 citations) and Statistics, Probability and Uncertainty (135 citations). Miguel A. Arcones has collaborated with scholars based in United States and China. Frequent co-authors include Evarist Giné, Bin Yu, Francisco J. Samaniego, Zhiqiang Chen, Paul H. Kvam, Hengjian Cui and Yijun Zuo. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics and The Annals of Probability.
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.