Joan Buenconsejo

25 total papers · 1.4k total citations
15 papers, 776 citations indexed

About

Joan Buenconsejo is a scholar working on Statistics and Probability, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Joan Buenconsejo has authored 15 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Epidemiology and 4 papers in Economics and Econometrics. Recurrent topics in Joan Buenconsejo's work include Statistical Methods in Clinical Trials (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Advanced Causal Inference Techniques (3 papers). Joan Buenconsejo is often cited by papers focused on Statistical Methods in Clinical Trials (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Advanced Causal Inference Techniques (3 papers). Joan Buenconsejo collaborates with scholars based in United States, Sweden and Brazil. Joan Buenconsejo's co-authors include Rodrigo Hasbun, Holenarasipur R. Vikram, Vincent Quagliarello, Dwight T. Janerich, S. T. Mayne, Lydia Barakat, S. T. Mayne, Timothy Vollmer, Weijia Ni and Samvel B. Gasparyan and has published in prestigious journals such as JAMA, American Journal of Epidemiology and Journal of the American Society of Nephrology.

In The Last Decade

Joan Buenconsejo

14 papers receiving 740 citations

Author Peers

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

Author						Papers	Cites
Joan Buenconsejo	416	219	216	200	173	15	776
Caroline G. Tai	114 0.3×	163 0.7×	191 0.9×	56 0.3×	146 0.8×	24	835
Mark W. Mason	246 0.6×	95 0.4×	34 0.2×	55 0.3×	117 0.7×	21	881
Cristina Mazzali	356 0.9×	70 0.3×	103 0.5×	53 0.3×	152 0.9×	26	712
Colleen Pelser	110 0.3×	95 0.4×	114 0.5×	97 0.5×	65 0.4×	16	819
Nurith Strauss	347 0.8×	26 0.1×	89 0.4×	57 0.3×	57 0.3×	21	779
Jeong-Gun Park	140 0.3×	135 0.6×	256 1.2×	83 0.4×	451 2.6×	13	873
Mustafa Şit	182 0.4×	52 0.2×	77 0.4×	35 0.2×	124 0.7×	23	665
A Rees	158 0.4×	50 0.2×	65 0.3×	34 0.2×	147 0.8×	16	664
Torsten Westermeier	102 0.2×	263 1.2×	126 0.6×	97 0.5×	311 1.8×	21	816
Nicholas A. Fergusson	129 0.3×	32 0.1×	175 0.8×	50 0.3×	140 0.8×	25	767

Countries citing papers authored by Joan Buenconsejo

Since Specialization

Citations

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

Fields of papers citing papers by Joan Buenconsejo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Buenconsejo

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Buenconsejo. A scholar is included among the top collaborators of Joan Buenconsejo 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 Buenconsejo. Joan Buenconsejo 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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