José R. Berrendero

46 total papers · 753 total citations
29 papers, 518 citations indexed

About

José R. Berrendero is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Analytical Chemistry. According to data from OpenAlex, José R. Berrendero has authored 29 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 8 papers in Statistics, Probability and Uncertainty and 4 papers in Analytical Chemistry. Recurrent topics in José R. Berrendero's work include Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (17 papers) and Advanced Statistical Process Monitoring (6 papers). José R. Berrendero is often cited by papers focused on Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (17 papers) and Advanced Statistical Process Monitoring (6 papers). José R. Berrendero collaborates with scholars based in Spain, Canada and United States. José R. Berrendero's co-authors include Antonio Cuevas, Ana Justel, Marcela Svarc, José M. Cuezva, María Sánchez‐Aragó, Francisco Pozo-Rodrı́guez, Fernando López‐Ríos, Á. López Encuentra, Claudio Ballestı́n and Ãlvaro D. Ortega and has published in prestigious journals such as Journal of the American Statistical Association, Cancer Research and The Annals of Statistics.

In The Last Decade

José R. Berrendero

28 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
José R. Berrendero	178	162	111	90	51	29	518
Ulla Holst	63 0.4×	242 1.5×	42 0.4×	114 1.3×	58 1.1×	28	613
Grace S. Shieh	251 1.4×	53 0.3×	48 0.4×	103 1.1×	16 0.3×	40	493
Weichen Wang	150 0.8×	160 1.0×	59 0.5×	48 0.5×	49 1.0×	21	450
Liqiang Ni	103 0.6×	248 1.5×	14 0.1×	89 1.0×	24 0.5×	23	594
Hojin Moon	156 0.9×	63 0.4×	71 0.6×	193 2.1×	11 0.2×	34	601
Peng Zeng	70 0.4×	203 1.3×	16 0.1×	66 0.7×	41 0.8×	40	467
Zhao Ren	128 0.7×	304 1.9×	7 0.1×	150 1.7×	17 0.3×	25	529
Monica Chiogna	198 1.1×	179 1.1×	44 0.4×	62 0.7×	24 0.5×	47	537
Yuan‐chin Ivan Chang	107 0.6×	124 0.8×	45 0.4×	137 1.5×	4 0.1×	46	511
Duncan J. Murdoch	39 0.2×	100 0.6×	36 0.3×	74 0.8×	17 0.3×	30	535

Countries citing papers authored by José R. Berrendero

Since Specialization

Citations

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

Fields of papers citing papers by José R. Berrendero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José R. Berrendero. 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 José R. Berrendero. The network helps show where José R. Berrendero may publish in the future.

Co-authorship network of co-authors of José R. Berrendero

This figure shows the co-authorship network connecting the top 25 collaborators of José R. Berrendero. A scholar is included among the top collaborators of José R. Berrendero 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 José R. Berrendero. José R. Berrendero 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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