Andreas Doms
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Biomedical Text Mining and Ontologies 7
- Genetics, Bioinformatics, and Biomedical Research 2
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- Semantic Web and Ontologies 4
- Co-authors
- Michael Schroeder (7 shared papers)Thomas Wächter (2 shared papers)Rainer Winnenburg (1 shared paper)Mark Schroeder (1 shared paper)Conrad Plake (1 shared paper)M. Teresa Pisabarro (1 shared paper)Joan Teyra (1 shared paper)Alexander Kozlenkov (1 shared paper)
- Journals
- Briefings in Bioinformatics (2 papers)BMC Bioinformatics (2 papers)Nucleic Acids Research (1 paper)VBN Forskningsportal (Aalborg Universitet) (2 papers)
In The Last Decade
Andreas Doms
9 papers receiving 603 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 223
- Molecular Biology 462
- Information Systems and Management 27
- Computational Theory and Mathematics 54
- Health Information Management 8
Countries citing papers authored by Andreas Doms
This map shows the geographic impact of Andreas Doms'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 Andreas Doms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Doms more than expected).
Fields of papers citing papers by Andreas Doms
This network shows the impact of papers produced by Andreas Doms. 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 Andreas Doms. The network helps show where Andreas Doms may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Doms, 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 | 386 | |
| 2 | 2006 | 63 | |
| 3 | 2008 | 61 | |
| 4 | 2006 | 36 | |
| 5 | 2012 | 30 | |
| 6 | GoPubMed: ontology-based literature search applied to Gene Ontology and PubMed. | 2004 | 26 |
| 7 | 2009 | 26 | |
| 8 | MIRABEL - Efficiently managing more renewable energy using explicit demand and supply flexibilities | 2013 | 3 |
| 9 | HOW TO QUERY THE GENEONTOLOGY | 2005 | 1 |
| 10 | Usage of bioinformatics tools and identification of information sources | 2005 | 0 |
About Andreas Doms
Andreas Doms is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems and Management, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 10 papers that have together received 632 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (4 papers), Scientific Computing and Data Management (3 papers), Smart Grid Energy Management (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Rare Diseases (1 paper), Cloud Computing and Resource Management (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Artificial Intelligence (223 citations), Molecular Biology (462 citations), Information Systems and Management (27 citations), Computational Theory and Mathematics (54 citations) and Health Information Management (8 citations). Andreas Doms has collaborated with scholars based in Germany, France and Denmark. Frequent co-authors include Michael Schroeder, Thomas Wächter, Rainer Winnenburg, Mark Schroeder, Conrad Plake, M. Teresa Pisabarro, Joan Teyra, Alexander Kozlenkov, G. Flucke and Andrew C.R. Martin. Their work appears in journals such as Briefings in Bioinformatics, BMC Bioinformatics, Nucleic Acids Research and VBN Forskningsportal (Aalborg Universitet).
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.