Juan Romo

2.3k total citations
58 papers, 1.2k citations indexed

About

Juan Romo is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Juan Romo has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 15 papers in Finance and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Juan Romo's work include Statistical Methods and Inference (26 papers), Advanced Statistical Methods and Models (26 papers) and Advanced Statistical Process Monitoring (10 papers). Juan Romo is often cited by papers focused on Statistical Methods and Inference (26 papers), Advanced Statistical Methods and Models (26 papers) and Advanced Statistical Process Monitoring (10 papers). Juan Romo collaborates with scholars based in Spain, United States and United Kingdom. Juan Romo's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Juan Romo

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Juan Romo Spain	16	596	254	240	239	188	58	1.2k
Marco Riani Italy	21	952 1.6×	325 1.3×	488 2.0×	134 0.6×	149 0.8×	88	1.7k
Yi‐Ching Yao United States	12	622 1.0×	216 0.9×	181 0.8×	356 1.5×	295 1.6×	76	1.3k
Pedro Galeano Spain	15	354 0.6×	218 0.9×	134 0.6×	240 1.0×	220 1.2×	40	843
Lijian Yang United States	29	1.1k 1.9×	379 1.5×	140 0.6×	416 1.7×	365 1.9×	105	2.1k
Hélio S. Migon Brazil	15	517 0.9×	291 1.1×	116 0.5×	157 0.7×	180 1.0×	62	1.1k
Christine Thomas‐Agnan France	16	382 0.6×	407 1.6×	133 0.6×	79 0.3×	319 1.7×	50	1.6k
Mohsen Pourahmadi United States	17	524 0.9×	247 1.0×	55 0.2×	206 0.9×	177 0.9×	64	1.3k
Alexander Aue United States	19	812 1.4×	176 0.7×	244 1.0×	665 2.8×	444 2.4×	50	1.5k
Michael H. Neumann Germany	23	784 1.3×	254 1.0×	84 0.3×	623 2.6×	327 1.7×	58	1.5k
D. S. Poskitt Australia	22	375 0.6×	169 0.7×	90 0.4×	319 1.3×	354 1.9×	67	1.2k

Countries citing papers authored by Juan Romo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alemán‐Gómez, Yasser, et al.. (2022). Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration. Statistics in Medicine. 41(11). 2005–2024. 8 indexed citations

Buño, Ismael, et al.. (2020). Variable selection with P‐splines in functional linear regression: Application in graft‐versus‐host disease. Biometrical Journal. 62(7). 1670–1686. 2 indexed citations

Azcorra, Arturo, Rubén Cuevas, Antonio Fernández Anta, et al.. (2018). Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks. Scientific Reports. 8(1). 6955–6955. 15 indexed citations

Romo, Juan, et al.. (2014). Shape outlier detection and visualization for functional data: the outliergram. Biostatistics. 15(4). 603–619. 85 indexed citations

Torrente, Aurora, Sara López‐Pintado, & Juan Romo. (2013). DepthTools: an R package for a robust analysis of gene expression data. BMC Bioinformatics. 14(1). 237–237. 6 indexed citations

Lillo, Rosa E., et al.. (2012). Portfolio selection through an extremality stochastic order. Insurance Mathematics and Economics. 51(1). 1–9. 6 indexed citations

Romo, Juan, et al.. (2011). Data depth in Multivariate Statistics. 27(3). 151–174. 2 indexed citations

Mayordomo, Sergio, Juan Ignacio Peña, & Juan Romo. (2011). The effect of liquidity on the price discovery process in credit derivatives markets in times of financial distress. European Journal of Finance. 17(9-10). 851–881. 22 indexed citations

Romo, Juan, et al.. (2011). Robust depth-based estimation in the time warping model. Biostatistics. 13(3). 398–414. 9 indexed citations

10.

Lillo, Rosa E., et al.. (2011). Comparing quantile residual life functions by confidence bands. Lifetime Data Analysis. 18(2). 195–214. 7 indexed citations

11.

López‐Pintado, Sara, Juan Romo, & Aurora Torrente. (2010). Robust depth-based tools for the analysis of gene expression data. Biostatistics. 11(2). 254–264. 14 indexed citations

12.

López‐Pintado, Sara & Juan Romo. (2009). On the Concept of Depth for Functional Data. Journal of the American Statistical Association. 104(486). 718–734. 322 indexed citations

13.

Alonso, Andrés M., Daniel Peña, & Juan Romo. (2006). Introducing model uncertainty by moving blocks bootstrap. Statistical Papers. 47(2). 167–179. 15 indexed citations

14.

Alonso, Andrés M., Daniel Peña, & Juan Romo. (2002). Una revisión de los métodos de remuestreo en series temporales. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 44(150). 133–160. 1 indexed citations

15.

Romo, Juan, et al.. (2000). Bootstrap tests for unit roots based on LAD estimation. Journal of Statistical Planning and Inference. 83(2). 347–367. 5 indexed citations

16.

Ruiz, Esther, Juan Romo, & Lorenzo Pascual. (1999). Bootstrap Predictive Inference for ARIMA Processes. SSRN Electronic Journal. 2 indexed citations

17.

Berrendero, José R., et al.. (1998). On the explosion rate of maximum‐bias functions. Canadian Journal of Statistics. 26(2). 333–351. 6 indexed citations

18.

Peña, Daniel & Juan Romo. (1997). Introducción a la estadística para las ciencias sociales. Dialnet (Universidad de la Rioja). 9 indexed citations

19.

Cuevas, Antonio & Juan Romo. (1995). On the estimation of the influence curve. Canadian Journal of Statistics. 23(1). 1–9. 9 indexed citations

20.

Romo, Juan. (1993). Stable Limits for Empirical Processes on Vapnik-Červonenkis Classes of Functions. Journal of Multivariate Analysis. 45(1). 73–88. 2 indexed citations

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.

Explore authors with similar magnitude of impact