Jaap Brand

2.2k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

Jaap Brand is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jaap Brand has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Jaap Brand's work include Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods in Clinical Trials (3 papers). Jaap Brand is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods in Clinical Trials (3 papers). Jaap Brand collaborates with scholars based in Netherlands, United States and Denmark. Jaap Brand's co-authors include Stef van Buuren, Karin Groothuis‐Oudshoorn, Donald B. Rubin, David B. Allison, Cheol‐Koo Lee, Tomas A. Prolla, Richard Weindruch, Jos W. R. Twisk, Henrica C. W. de Vet and Michiel R. de Boer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Epidemiology and Statistics in Medicine.

In The Last Decade

Jaap Brand

11 papers receiving 1.4k citations

Hit Papers

Fully conditional specification in multivariate imputation 2006 2026 2012 2019 2006 250 500 750

Peers

Jaap Brand
T. Mark Beasley United States
Ofer Harel United States
Zhongxue Chen United States
Xiao Song United States
Euijung Ryu United States
Jiangang Liao United States
T. Mark Beasley United States
Jaap Brand
Citations per year, relative to Jaap Brand Jaap Brand (= 1×) peers T. Mark Beasley

Countries citing papers authored by Jaap Brand

Since Specialization
Citations

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

Fields of papers citing papers by Jaap Brand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaap Brand

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

All Works

11 of 11 papers shown
1.
Brand, Jaap, Stef van Buuren, Saskia le Cessie, & Wilbert B. van den Hout. (2018). Combining multiple imputation and bootstrap in the analysis of cost‐effectiveness trial data. Statistics in Medicine. 38(2). 210–220. 68 indexed citations
2.
Vliet, Martin H. van, Jaap Brand, Henk E. Viëtor, et al.. (2013). Detection of CEBPA Double Mutants in Acute Myeloid Leukemia Using a Custom Gene Expression Array. Genetic Testing and Molecular Biomarkers. 17(5). 395–400. 4 indexed citations
3.
Brand, Jaap, Martin H. van Vliet, Peter J.M. Valk, et al.. (2013). A standardized microarray assay for the independent gene expression markers in AML: EVI1 and BAALC. Experimental Hematology and Oncology. 2(1). 7–7. 7 indexed citations
4.
Eekhout, Iris, Henrica C. W. de Vet, Jos W. R. Twisk, et al.. (2013). Missing data in a multi-item instrument were best handled by multiple imputation at the item score level. Journal of Clinical Epidemiology. 67(3). 335–342. 201 indexed citations
5.
Buuren, Stef van, Jaap Brand, Karin Groothuis‐Oudshoorn, & Donald B. Rubin. (2006). Fully conditional specification in multivariate imputation. Journal of Statistical Computation and Simulation. 76(12). 1049–1064. 836 indexed citations breakdown →
6.
Beasley, T. Mark, Grier P. Page, Jaap Brand, et al.. (2004). Chebyshev’s Inequality for Nonparametric Testing with SmallNandαin Microarray Research. Journal of the Royal Statistical Society Series C (Applied Statistics). 53(1). 95–108. 11 indexed citations
7.
Brand, Jaap, Stef van Buuren, Karin Groothuis‐Oudshoorn, & E. S. Gelsema. (2003). A toolkit in SAS for the evaluation of multiple imputation methods. Statistica Neerlandica. 57(1). 36–45. 29 indexed citations
8.
Buuren, Stef van, Erik M. van Mulligen, & Jaap Brand. (2002). Routine multiple imputation in statistical databases. 74–78. 8 indexed citations
9.
Lee, Cheol‐Koo, David B. Allison, Jaap Brand, Richard Weindruch, & Tomas A. Prolla. (2002). Transcriptional profiles associated with aging and middle age-onset caloric restriction in mouse hearts. Proceedings of the National Academy of Sciences. 99(23). 14988–14993. 244 indexed citations
10.
Mulligen, Erik M. van, et al.. (1994). HERMES: a health care workstation integration architecture. International Journal of Bio-Medical Computing. 34(1-4). 267–275. 16 indexed citations
11.
Brand, Jaap, et al.. (1994). Multiple imputation as a missing data machine.. PubMed. 303–6. 5 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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