Dirk Haase
Impact in
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- Scientific Computing and Data Management
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 1
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- Chromosomal and Genetic Variations 2
- Co-authors
- Heiko Schoof (2 shared papers)Mark D. Wilkinson (1 shared paper)Klaus Mayer (3 shared papers)Marc Rehmsmeier (1 shared paper)Hans‐Werner Mewes (2 shared papers)Robert Giegerich (1 shared paper)Burkhard Morgenstern (1 shared paper)Oliver Rinner (1 shared paper)
In The Last Decade
Dirk Haase
8 papers receiving 157 citations
Peers
Comparison fields: 5 of 41
- Information Systems and Management 29
- Molecular Biology 135
- Plant Science 32
- Artificial Intelligence 22
- Information Systems 14
Countries citing papers authored by Dirk Haase
This map shows the geographic impact of Dirk Haase'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 Haase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Haase more than expected).
Fields of papers citing papers by Dirk Haase
This network shows the impact of papers produced by Dirk Haase. 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 Haase. The network helps show where Dirk Haase may publish in the future.
Co-authors
The 25 scholars most cited alongside Dirk Haase, 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 | 2005 | 70 | |
| 2 | 2002 | 42 | |
| 3 | 1998 | 20 | |
| 4 | 2001 | 10 | |
| 5 | 2005 | 9 | |
| 6 | 1998 | 6 | |
| 7 | 2005 | 6 | |
| 8 | Ein neues Verfahren zur modellbasierten Prozessoptimierung auf der Grundlage der statistischen Versuchsplanung am Beispiel eines Ottomotors mit elektromagnetischer Ventilsteuerung (EMVS) | 2004 | 2 |
About Dirk Haase
Dirk Haase is a scholar working on Molecular Biology, Plant Science, Information Systems and Management, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 8 papers that have together received 165 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Machine Learning in Bioinformatics (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Wind and Air Flow Studies (1 paper), Hydraulic and Pneumatic Systems (1 paper) and Atmospheric chemistry and aerosols (1 paper). The work is most often cited by research in Information Systems and Management (29 citations), Molecular Biology (135 citations), Plant Science (32 citations), Artificial Intelligence (22 citations) and Information Systems (14 citations). Dirk Haase has collaborated with scholars based in Germany, Belgium and Canada. Frequent co-authors include Heiko Schoof, Mark D. Wilkinson, Klaus Mayer, Marc Rehmsmeier, Hans‐Werner Mewes, Robert Giegerich, Burkhard Morgenstern, Oliver Rinner, Andreas Dress and Kai Habben. Their work appears in journals such as PLANT PHYSIOLOGY, Genome Research, Journal of Lipid Research, Bioinformatics and International Journal of Environment and Pollution.
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.