Dirk Husmeier
Impact in
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Gene Regulatory Network Analysis 31
- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 15
- Genomics and Phylogenetic Studies 14
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- Gaussian Processes and Bayesian Inference 26
- Neural Networks and Applications 12
- Co-authors
- Adriano Velasque Werhli (6 shared papers)Frank Wright (7 shared papers)Marco Grzegorczyk (13 shared papers)Gráinne McGuire (3 shared papers)Iain Milne (3 shared papers)David Marshall (2 shared papers)Marco Grzegorczyk (5 shared papers)Micha Bayer (1 shared paper)
- Journals
- Bioinformatics (12 papers)Statistical Applications in Genetics and Molecular Biology (6 papers)Journal of The Royal Society Interface (5 papers)Statistics and Computing (4 papers)Machine Learning (4 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Dirk Husmeier
141 papers receiving 3.9k citations
Dirk Husmeier's Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 885
- Molecular Biology 1.5k
- Ecological Modeling 92
- Statistics and Probability 153
- Genetics 380
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-authors
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
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TOPALi v2: a rich graphical interface for evolutionary analyses of multiple alignments on HPC clusters and multi-core desktops Hit paper breakdown → | 2008 | 564 |
| 2 | 2003 | 389 | |
| 3 | 2004 | 345 | |
| 4 | 2006 | 251 | |
| 5 | 1998 | 229 | |
| 6 | 2007 | 192 | |
| 7 | 2005 | 109 | |
| 8 | 2023 | 98 | |
| 9 | 2008 | 93 | |
| 10 | 2012 | 78 | |
| 11 | 2010 | 61 | |
| 12 | 2017 | 54 | |
| 13 | 2011 | 50 | |
| 14 | 2003 | 50 | |
| 15 | 2008 | 49 | |
| 16 | Non-stationary continuous dynamic Bayesian networks | 2009 | 48 |
| 17 | 2010 | 45 | |
| 18 | ODE parameter inference using adaptive gradient matching with Gaussian processes | 2013 | 44 |
| 19 | 2008 | 42 | |
| 20 | Neural Networks for Conditional Probability Estimation: Forecasting Beyond Point Predictions | 1999 | 42 |
About Dirk Husmeier
Dirk Husmeier is a scholar working on Molecular Biology, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Control and Systems Engineering, having authored 150 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (31 papers), Gaussian Processes and Bayesian Inference (26 papers), Cardiovascular Function and Risk Factors (20 papers), Elasticity and Material Modeling (16 papers), Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (15 papers), Genomics and Phylogenetic Studies (14 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Artificial Intelligence (885 citations), Molecular Biology (1.5k citations), Ecological Modeling (92 citations), Statistics and Probability (153 citations) and Genetics (380 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, Statistics and Computing and Machine Learning.
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.