Dean A. Bodenham

665 total citations · 1 hit paper
10 papers, 379 citations indexed

About

Dean A. Bodenham is a scholar working on Artificial Intelligence, Genetics and Computer Networks and Communications. According to data from OpenAlex, Dean A. Bodenham has authored 10 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Genetics and 3 papers in Computer Networks and Communications. Recurrent topics in Dean A. Bodenham's work include Genetic Associations and Epidemiology (4 papers), Data Stream Mining Techniques (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Dean A. Bodenham is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Data Stream Mining Techniques (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Dean A. Bodenham collaborates with scholars based in Switzerland, United Kingdom and Japan. Dean A. Bodenham's co-authors include Niall M. Adams, Karsten Borgwardt, Max Horn, Michael Moor, Christian Bock, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Marc Zimmermann and Gunnar Rätsch and has published in prestigious journals such as Nature Medicine, Bioinformatics and Statistics and Computing.

In The Last Decade

Dean A. Bodenham

10 papers receiving 372 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Early prediction of circulatory failure in the intensive care unit using machine learning

2020 233 citations Stephanie L. Hyland, Martin Faltys et al. Nature Medicine profile →

Author Peers

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

Author						Papers	Cites
Dean A. Bodenham	174	87	46	45	36	10	379
Francesca Raimondi	140 0.8×	59 0.7×	99 2.2×	32 0.7×	43 1.2×	8	371
Yuanfang Ren	144 0.8×	57 0.7×	80 1.7×	66 1.5×	77 2.1×	40	554
Bo Thiesson	458 2.6×	136 1.6×	37 0.8×	37 0.8×	81 2.3×	38	726
Christian Bock	156 0.9×	92 1.1×	58 1.3×	48 1.1×	37 1.0×	28	452
Simon Meyer Lauritsen	251 1.4×	132 1.5×	39 0.8×	37 0.8×	82 2.3×	7	418
Amir H. Payberah	215 1.2×	37 0.4×	21 0.5×	9 0.2×	40 1.1×	46	665
Jinghe Zhang	236 1.4×	30 0.3×	45 1.0×	12 0.3×	19 0.5×	41	709
Ishanu Chattopadhyay	121 0.7×	45 0.5×	28 0.6×	29 0.6×	10 0.3×	52	479
Jose Posada	268 1.5×	38 0.4×	20 0.4×	13 0.3×	60 1.7×	31	552
Alberto Botana López	232 1.3×	35 0.4×	45 1.0×	18 0.4×	39 1.1×	2	604

Countries citing papers authored by Dean A. Bodenham

Since Specialization

Citations

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

Fields of papers citing papers by Dean A. Bodenham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean A. Bodenham. 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 Dean A. Bodenham. The network helps show where Dean A. Bodenham may publish in the future.

Co-authorship network of co-authors of Dean A. Bodenham

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

All Works

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10 of 10 papers shown

Bodenham, Dean A. & Yoshinobu Kawahara. (2023). euMMD: efficiently computing the MMD two-sample test statistic for univariate data. Statistics and Computing. 33(5). 1 indexed citations

Hyland, Stephanie L., Martin Faltys, Matthias Hüser, et al.. (2020). Early prediction of circulatory failure in the intensive care unit using machine learning. Nature Medicine. 26(3). 364–373. 233 indexed citations breakdown →

Llinares-López, Felipe, et al.. (2018). CASMAP: detection of statistically significant combinations of SNPs in association mapping. Bioinformatics. 35(15). 2680–2682. 7 indexed citations

Llinares-López, Felipe, et al.. (2017). Genome-wide genetic heterogeneity discovery with categorical covariates. Bioinformatics. 33(12). 1820–1828. 11 indexed citations

Llinares-López, Felipe, et al.. (2016). Finding significant combinations of features in the presence of categorical covariates. Spiral (Imperial College London). 29. 2279–2287. 14 indexed citations

Bodenham, Dean A. & Niall M. Adams. (2016). Continuous monitoring for changepoints in data streams using adaptive estimation. Statistics and Computing. 27(5). 1257–1270. 29 indexed citations

Llinares-López, Felipe, Dominik G. Grimm, Dean A. Bodenham, et al.. (2015). Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. Bioinformatics. 31(12). i240–i249. 21 indexed citations

Bodenham, Dean A. & Niall M. Adams. (2015). A comparison of efficient approximations for a weighted sum of chi-squared random variables. Statistics and Computing. 26(4). 917–928. 54 indexed citations

Bodenham, Dean A. & Niall M. Adams. (2014). Adaptive Change Detection for Relay-Like Behaviour. 252–255. 2 indexed citations

10.

Bodenham, Dean A. & Niall M. Adams. (2013). Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation. 311–318. 7 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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