Joan del Castillo

627 total citations
32 papers, 399 citations indexed

About

Joan del Castillo is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Joan del Castillo has authored 32 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 10 papers in Finance and 9 papers in Artificial Intelligence. Recurrent topics in Joan del Castillo's work include Statistical Distribution Estimation and Applications (12 papers), Financial Risk and Volatility Modeling (10 papers) and Bayesian Methods and Mixture Models (6 papers). Joan del Castillo is often cited by papers focused on Statistical Distribution Estimation and Applications (12 papers), Financial Risk and Volatility Modeling (10 papers) and Bayesian Methods and Mixture Models (6 papers). Joan del Castillo collaborates with scholars based in Spain, United States and France. Joan del Castillo's co-authors include Marta Pérez‐Casany, Pedro Puig, Jaume Abella, Francisco J. Cazorla, Joaquim Bruna, Youngjo Lee, Richard Lockhart, Johan Lim, Jacob Burbea and Woojoo Lee and has published in prestigious journals such as Journal of the American Statistical Association, Computational Statistics & Data Analysis and Mathematische Annalen.

In The Last Decade

Joan del Castillo

28 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan del Castillo Spain 10 182 74 62 57 55 32 399
Lawrence A. Klimko United States 9 311 1.7× 101 1.4× 189 3.0× 85 1.5× 70 1.3× 16 542
Mohammad Amini Iran 11 258 1.4× 47 0.6× 95 1.5× 72 1.3× 18 0.3× 96 411
Olaf Bunke United States 9 185 1.0× 50 0.7× 27 0.4× 45 0.8× 34 0.6× 33 400
Louis A. Jaeckel United States 5 398 2.2× 62 0.8× 30 0.5× 126 2.2× 23 0.4× 8 510
Oleg Seleznjev Sweden 11 46 0.3× 52 0.7× 78 1.3× 13 0.2× 23 0.4× 35 274
Rohana J. Karunamuni Canada 15 471 2.6× 246 3.3× 61 1.0× 130 2.3× 48 0.9× 67 704
G. W. Hill Australia 8 135 0.7× 78 1.1× 41 0.7× 24 0.4× 17 0.3× 17 294
Naftali A. Langberg United States 13 432 2.4× 88 1.2× 53 0.9× 104 1.8× 32 0.6× 52 664
Vlad Ștefan Barbu France 9 71 0.4× 32 0.4× 39 0.6× 66 1.2× 32 0.6× 32 353
Wolfgang Wertz Austria 8 139 0.8× 55 0.7× 33 0.5× 34 0.6× 9 0.2× 19 265

Countries citing papers authored by Joan del Castillo

Since Specialization
Citations

This map shows the geographic impact of Joan del Castillo'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 Joan del Castillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan del Castillo more than expected).

Fields of papers citing papers by Joan del Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan del Castillo. 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 Joan del Castillo. The network helps show where Joan del Castillo may publish in the future.

Co-authorship network of co-authors of Joan del Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of Joan del Castillo. A scholar is included among the top collaborators of Joan del Castillo 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 Joan del Castillo. Joan del Castillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Castillo, Joan del & Pedro Puig. (2023). Distinguishing between a power law and a Pareto distribution. Physical review. E. 107(6). 64113–64113. 1 indexed citations
2.
Abella, Jaume, et al.. (2019). Software Timing Analysis for Complex Hardware with Survivability and Risk Analysis. QRU Quaderns de Recerca en Urbanisme. 227–236. 1 indexed citations
3.
Castillo, Joan del, et al.. (2018). A Reliable Statistical Analysis of the Best-Fit Distribution for High Execution Times. QRU Quaderns de Recerca en Urbanisme. 727–734. 2 indexed citations
4.
Castillo, Joan del, et al.. (2017). THE FULL TAILS GAMMA DISTRIBUTION APPLIED to MODEL EXTREME VALUES. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 5 indexed citations
5.
Badii, M. H., Joan del Castillo, & Alan Wong. (2017). Diseños de distribución libre. 3(5).
6.
Abella, Jaume, et al.. (2017). Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation. ACM Transactions on Design Automation of Electronic Systems. 22(4). 1–29. 49 indexed citations
7.
Castillo, Joan del, et al.. (2017). Execution time distributions in embedded safety-critical systems using extreme value theory. International Journal of Data Analysis Techniques and Strategies. 9(4). 348–348. 3 indexed citations
8.
Castillo, Joan del, et al.. (2016). Modelling extreme values by the residual coefficient of variation. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 40(2). 303–320. 4 indexed citations
9.
Badescu, Alexandru, Joan del Castillo, & Juan‐Pablo Ortega. (2016). Hedging of Time Discrete Auto-Regressive Stochastic Volatility Options. Annals of Economics and Statistics. 271–271. 2 indexed citations
10.
Castillo, Joan del, et al.. (2014). Likelihood inference for generalized Pareto distribution. Computational Statistics & Data Analysis. 83. 116–128. 21 indexed citations
11.
Castillo, Joan del, et al.. (2014). Methods to Distinguish Between Polynomial and Exponential Tails. Scandinavian Journal of Statistics. 41(2). 382–393. 15 indexed citations
12.
Castillo, Joan del, et al.. (2013). Approximation of Fejér partial sums by interpolating functions. BIT Numerical Mathematics. 53(3). 779–790.
13.
Lee, Woojoo, Johan Lim, Youngjo Lee, & Joan del Castillo. (2010). The hierarchical-likelihood approach to autoregressive stochastic volatility models. Computational Statistics & Data Analysis. 55(1). 248–260. 8 indexed citations
14.
Castillo, Joan del, et al.. (2009). The mixture of left–right truncated normal distributions. Journal of Statistical Planning and Inference. 139(10). 3543–3551. 3 indexed citations
15.
Badii, M. H., et al.. (2009). Origen, espacio y niveles de participación ciudadana (Origin, space and levels of participation). 4(1).
16.
Castillo, Joan del & Youngjo Lee. (2008). GLM-methods for volatility models. Statistical Modelling. 8(3). 263–283. 9 indexed citations
17.
Vegas, Esteban, Joan del Castillo, & Jordi Ocaña. (2000). Efficiency and exponential models in a variance-reduction technique for dichotomous response variables. Journal of Statistical Planning and Inference. 85(1-2). 61–74. 2 indexed citations
18.
Castillo, Joan del & Pedro Puig. (1999). Invariant Exponential Models Applied to Reliability Theory and Survival Analysis. Journal of the American Statistical Association. 94(446). 522–528. 9 indexed citations
19.
Castillo, Joan del & Pedro Puig. (1999). The Best Test of Exponentiality against Singly Truncated Normal Alternatives. Journal of the American Statistical Association. 94(446). 529–532. 31 indexed citations
20.
Castillo, Joan del & Marta Pérez‐Casany. (1998). Weighted Poisson Distributions for Overdispersion and Underdispersion Situations. Annals of the Institute of Statistical Mathematics. 50(3). 567–585. 54 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.

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