Dirk Husmeier
- Artificial Intelligence top 2%
- Gaussian Processes and Bayesian Inference 21
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 32
- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 15
- Genomics and Phylogenetic Studies 13
- Microbial Metabolic Engineering and Bioproduction 12
- Ecological Modeling top 5%
- Statistics and Probability top 2%
- Genetics top 5%
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- Cardiovascular Function and Risk Factors 20
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- Elasticity and Material Modeling 16
- Co-authors
- Adriano Velasque WerhliFrank WrightMarco GrzegorczykGráinne McGuireIain MilneDavid MarshallMicha BayerDominik Lindner
- Journals
- Bioinformatics (12 papers)Statistical Applications in Genetics and Molecular Biology (6 papers)Journal of The Royal Society Interface (5 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Dirk Husmeier
126 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 747
- Molecular Biology 1.5k
- Ecological Modeling 85
- Statistics and Probability 145
- Genetics 400
Countries citing papers authored by Dirk Husmeier
This map shows the geographic impact of Dirk Husmeier'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 Dirk Husmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Husmeier more than expected).
Fields of papers citing papers by Dirk Husmeier
This network shows the impact of papers produced by Dirk Husmeier. 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 Dirk Husmeier. The network helps show where Dirk Husmeier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dirk Husmeier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 83 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 5 | |
| 7 | Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations | 2018 | 2 |
| 8 | 2016 | 11 | |
| 9 | Fast inference in nonlinear dynamical systems using gradient matching | 2016 | 6 |
| 10 | Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus | 2014 | 4 |
| 11 | Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes | 2013 | 3 |
| 12 | ODE parameter inference using adaptive gradient matching with Gaussian processes | 2013 | 40 |
| 13 | 2012 | 19 | |
| 14 | Mixtures of factor analyzers for modeling transcriptional regulation | 2010 | 1 |
| 15 | Non-stationary continuous dynamic Bayesian networks | 2009 | 39 |
| 16 | Modelling non-stationary gene regulatory processes with a non-homogeneous dynamic Bayesian network and the change point process | 2009 | 1 |
| 17 | 2008 | 5 | |
| 18 | Improved gibbs sampling for detecting mosaic structures in DNA sequence alignments | 2006 | 1 |
| 19 | Clustering objects on subsets of attributes | 2004 | 23 |
| 20 | Modelling conditional probabilities with network committees: how overfitting can be useful | 1998 | 2 |
About Dirk Husmeier
Dirk Husmeier is a scholar working on Artificial Intelligence, Ecological Modeling and Statistics, Probability and Uncertainty, having authored 131 papers that have together received 3.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (32 papers), Gaussian Processes and Bayesian Inference (21 papers), Cardiovascular Function and Risk Factors (20 papers), Bioinformatics and Genomic Networks (16 papers), Elasticity and Material Modeling (16 papers), Gene expression and cancer classification (15 papers), Genomics and Phylogenetic Studies (13 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). The work is most often cited by research in Artificial Intelligence (747 citations), Molecular Biology (1.5k citations) and Ecological Modeling (85 citations). Dirk Husmeier has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Adriano Velasque Werhli, Frank Wright, Marco Grzegorczyk, Gráinne McGuire, Iain Milne, David Marshall, Marco Grzegorczyk, Micha Bayer, Dominik Lindner and W.D. Penny. Their work appears in journals such as Bioinformatics, Statistical Applications in Genetics and Molecular Biology, Journal of The Royal Society Interface, Machine Learning and Statistics and Computing.
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.