Juan Romo
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Statistics, Probability and Uncertainty top 1%
- Finance top 5%
- Economics and Econometrics top 5%
- Co-authors
- Sara López‐PintadoEsther RuizLorenzo PascualRosa E. LilloAndrés M. AlonsoDaniel PeñaAurora TorrenteBelén Martín-Barragán
- Topics
- Statistical Methods and Inference (26 papers)Advanced Statistical Methods and Models (26 papers)Advanced Statistical Process Monitoring (10 papers)
- Journals
- Journal of the American Statistical AssociationScientific ReportsEuropean Journal of Operational Research
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Juan Romo
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 133
- Statistics and Probability 596
- Artificial Intelligence 254
- Statistics, Probability and Uncertainty 240
- Finance 239
- Economics and Econometrics 188
Countries citing papers authored by Juan Romo
This map shows the geographic impact of Juan Romo'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 Juan Romo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Romo more than expected).
Fields of papers citing papers by Juan Romo
This network shows the impact of papers produced by Juan Romo. 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 Juan Romo. The network helps show where Juan Romo may publish in the future.
Co-authorship network of co-authors of Juan Romo
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Romo. A scholar is included among the top collaborators of Juan Romo 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 Juan Romo. Juan Romo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 85 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | Data depth in Multivariate Statistics | 2 |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 322 | |
| 13 | 15 | |
| 14 | Una revisión de los métodos de remuestreo en series temporales | 1 |
| 15 | 5 | |
| 16 | Bootstrap Predictive Inference for ARIMA Processes | 2 |
| 17 | 6 | |
| 18 | Introducción a la estadística para las ciencias sociales | 9 |
| 19 | 9 | |
| 20 | 2 |
About Juan Romo
Juan Romo is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Advanced Statistical Methods and Models (26 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Statistics and Probability (596 citations), Statistics, Probability and Uncertainty (240 citations) and Finance (239 citations). Juan Romo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Sara López‐Pintado, Esther Ruiz, Lorenzo Pascual, Rosa E. Lillo, Andrés M. Alonso, Daniel Peña, Aurora Torrente, Belén Martín-Barragán, Juan Ignacio Peña and Sergio Mayordomo. Their work appears in journals such as Journal of the American Statistical Association, Scientific Reports and European Journal of Operational Research.
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.