Daniel Peña
Impact in
- Statistics and Probability top 0.2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Finance top 1%
- Financial Risk and Volatility Modeling
Papers in
-
- Advanced Statistical Methods and Models 58
- Statistical Methods and Inference 31
-
- Complex Systems and Time Series Analysis 19
- Co-authors
- Francisco J. Prieto (6 shared papers)Ana Justel (5 shared papers)George E. P. Box (3 shared papers)Ruben H. Zamar (3 shared papers)Vı́ctor J. Yohai (10 shared papers)Pilar Poncela (4 shared papers)Jorge Caiado (5 shared papers)Nuno Crato (5 shared papers)
- Journals
- Journal of the American Statistical Association (12 papers)Journal of Statistical Planning and Inference (8 papers)Journal of Time Series Analysis (7 papers)Test (7 papers)Journal of Business and Economic Statistics (7 papers)
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
Daniel Peña
149 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 187
- Statistics and Probability 1.2k
- Finance 703
- Statistics, Probability and Uncertainty 478
- General Economics, Econometrics and Finance 429
- Signal Processing 493
Countries citing papers authored by Daniel Peña
This map shows the geographic impact of Daniel Peña'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 Daniel Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Peña more than expected).
Fields of papers citing papers by Daniel Peña
This network shows the impact of papers produced by Daniel Peña. 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 Daniel Peña. The network helps show where Daniel Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Peña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 367 | |
| 2 | 1999 | 272 | |
| 3 | 2001 | 195 | |
| 4 | 2005 | 194 | |
| 5 | Análisis de datos multivariantes | 2002 | 166 |
| 6 | 1987 | 156 | |
| 7 | 2004 | 103 | |
| 8 | 1987 | 95 | |
| 9 | 2006 | 87 | |
| 10 | 2002 | 81 | |
| 11 | 2006 | 79 | |
| 12 | 2001 | 78 | |
| 13 | 1995 | 73 | |
| 14 | 2002 | 72 | |
| 15 | 1999 | 67 | |
| 16 | 1990 | 64 | |
| 17 | 1984 | 62 | |
| 18 | 2003 | 60 | |
| 19 | 2009 | 56 | |
| 20 | 2003 | 55 |
About Daniel Peña
Daniel Peña is a scholar working on Statistics and Probability, Economics and Econometrics, Finance, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 163 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (58 papers), Statistical Methods and Inference (31 papers), Financial Risk and Volatility Modeling (26 papers), Advanced Statistical Process Monitoring (22 papers), Forecasting Techniques and Applications (20 papers), Complex Systems and Time Series Analysis (19 papers), Monetary Policy and Economic Impact (15 papers) and Time Series Analysis and Forecasting (14 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Finance (703 citations), Statistics, Probability and Uncertainty (478 citations), General Economics, Econometrics and Finance (429 citations) and Signal Processing (493 citations). Daniel Peña has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Francisco J. Prieto, Ana Justel, George E. P. Box, Ruben H. Zamar, Vı́ctor J. Yohai, Pilar Poncela, Jorge Caiado, Nuno Crato, Julio Rodríguez and Pedro Galeano. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Planning and Inference, Journal of Time Series Analysis, Test and Journal of Business and Economic 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.