Andreas Doms
Impact in
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
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- scientometrics and bibliometrics research
Papers in
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- Biomedical Text Mining and Ontologies 9
- Bioinformatics and Genomic Networks 1
- Protein Structure and Dynamics 1
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- Scientific Computing and Data Management 2
- Co-authors
- Michael D. Schroeder (12 shared papers)Conrad Plake (2 shared papers)Rainer Winnenburg (1 shared paper)Joan Teyra (1 shared paper)Maria Teresa Pisabarro (1 shared paper)Alexander Kozlenkov (1 shared paper)Phillip Lord (1 shared paper)Flavio Corradini (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Briefings in Bioinformatics (2 papers)Nucleic Acids Research (1 paper)Lecture notes in computer science (2 papers)German Conference on Bioinformatics (1 paper)
In The Last Decade
Andreas Doms
12 papers receiving 663 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 455
- Statistics, Probability and Uncertainty 40
- Artificial Intelligence 134
- Information Systems 88
- Information Systems and Management 19
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 | 427 | |
| 2 | 2006 | 75 | |
| 3 | 2008 | 68 | |
| 4 | 2006 | 38 | |
| 5 | GoPubMed: ontology-based literature search applied to Gene Ontology and PubMed. | 2004 | 32 |
| 6 | 2009 | 25 | |
| 7 | 2008 | 15 | |
| 8 | 2009 | 5 | |
| 9 | 2006 | 4 | |
| 10 | Usage of bioinformatics tools and identification of information sources | 2005 | 2 |
| 11 | Towards a Semantic Web for Bioinformatics | 2004 | 1 |
| 12 | HOW TO QUERY THE GENEONTOLOGY | 2005 | 1 |
About Andreas Doms
Andreas Doms is a scholar working on Molecular Biology, Information Systems and Management, Artificial Intelligence, Materials Chemistry and Nuclear Energy and Engineering, having authored 12 papers that have together received 693 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Semantic Web and Ontologies (3 papers), Scientific Computing and Data Management (2 papers), Bioinformatics and Genomic Networks (1 paper), Enzyme Structure and Function (1 paper), Multi-Agent Systems and Negotiation (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Molecular Biology (455 citations), Statistics, Probability and Uncertainty (40 citations), Artificial Intelligence (134 citations), Information Systems (88 citations) and Information Systems and Management (19 citations). Andreas Doms has collaborated with scholars based in Germany, Sweden and Italy. Frequent co-authors include Michael D. Schroeder, Conrad Plake, Rainer Winnenburg, Joan Teyra, Maria Teresa Pisabarro, Alexander Kozlenkov, Phillip Lord, Flavio Corradini, Steffen Möller and Mark d’Inverno. Their work appears in journals such as BMC Bioinformatics, Briefings in Bioinformatics, Nucleic Acids Research, Lecture notes in computer science and German Conference on Bioinformatics.
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.