Miguel A. Arcones
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 34
- Advanced Statistical Methods and Models 16
- Statistical Distribution Estimation and Applications 6
- Finance top 2%
- Stochastic processes and financial applications 21
- Financial Risk and Volatility Modeling 13
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- Advanced Statistical Process Monitoring 7
- Mathematical Physics top 5%
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- Probability and Risk Models 7
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- Bayesian Methods and Mixture Models 17
- Journals
- Stochastic Processes and their Applications (6 papers)The Annals of Statistics (6 papers)Journal of Theoretical Probability (6 papers)
- 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
- Statistics, Probability and Uncertainty 135
- 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
The 7 scholars most cited alongside Miguel A. Arcones, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 3 | |
| 2 | 2003 | 15 | |
| 3 | 2002 | 7 | |
| 4 | 2002 | 5 | |
| 5 | 2000 | 3 | |
| 6 | 1999 | 0 | |
| 7 | 1999 | 4 | |
| 8 | 1998 | 13 | |
| 9 | 1998 | 1 | |
| 10 | 1998 | 1 | |
| 11 | 1995 | 44 | |
| 12 | 1995 | 5 | |
| 13 | 1995 | 2 | |
| 14 | 1995 | 48 | |
| 15 | 1994 | 25 | |
| 16 | 1994 | 8 | |
| 17 | 1993 | 15 | |
| 18 | 1992 | 8 | |
| 19 | Additions and correction to “The bootstrap of the mean with arbitrary bootstrap sample” | 1991 | 17 |
| 20 | The bootstrap of the mean with arbitrary bootstrap sample size | 1989 | 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), Bayesian Methods and Mixture Models (17 papers), Advanced Statistical Methods and Models (16 papers), Financial Risk and Volatility Modeling (13 papers), Advanced Statistical Process Monitoring (7 papers), Probability and Risk Models (7 papers) and Statistical Distribution Estimation and Applications (6 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 Stochastic Processes and their Applications, The Annals of Statistics, Journal of Theoretical Probability, Annals of the Institute of Statistical Mathematics and Journal of Multivariate Analysis.
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.