Joan del Castillo

46 total papers · 621 total citations
32 papers, 397 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 397 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 South Korea. Joan del Castillo's co-authors include Marta Pérez‐Casany, Pedro Puig, Jaume Abella, Francisco J. Cazorla, Joaquim Bruna, Youngjo Lee, Richard Lockhart, Woojoo Lee, Johan Lim and Jacob Burbea 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 379 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joan del Castillo	182	74	62	57	55	32	397
Martin Bilodeau	239 1.3×	79 1.1×	60 1.0×	44 0.8×	42 0.8×	26	442
Joanne Wendelberger	62 0.3×	76 1.0×	26 0.4×	43 0.8×	15 0.3×	33	423
Olaf Bunke	185 1.0×	50 0.7×	27 0.4×	45 0.8×	34 0.6×	33	399
Mohammad Amini	255 1.4×	48 0.6×	92 1.5×	69 1.2×	18 0.3×	96	426
Bert van Es	224 1.2×	105 1.4×	77 1.2×	38 0.7×	20 0.4×	23	340
K. K. Jose	316 1.7×	58 0.8×	98 1.6×	177 3.1×	20 0.4×	38	384
Chenyi Hu	40 0.2×	115 1.6×	38 0.6×	30 0.5×	50 0.9×	46	406
G.P. Steck	218 1.2×	118 1.6×	41 0.7×	57 1.0×	13 0.2×	26	421
J. Oosterhoff	241 1.3×	79 1.1×	45 0.7×	47 0.8×	17 0.3×	19	386
Vlad Ștefan Barbu	71 0.4×	32 0.4×	39 0.6×	66 1.2×	32 0.6×	32	349

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

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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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