Andreas Doms

About

Andreas Doms is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Andreas Doms has authored 6 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Andreas Doms’s work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers) and Bioinformatics and Genomic Networks (3 papers). Andreas Doms is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers) and Bioinformatics and Genomic Networks (3 papers). Andreas Doms collaborates with scholars based in Germany, Italy and United Kingdom. Andreas Doms's co-authors include Michael Schroeder, Thomas Wächter, Rainer Winnenburg, Mark Schroeder, Conrad Plake, M. Teresa Pisabarro, Joan Teyra, Alexander Kozlenkov, Giuliano Armano and Nicola Cannata and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and Briefings in Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Andreas Doms i

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Fields of papers citing papers by Andreas Doms

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Andreas Doms

Since Specialization

Citations

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).

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.

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