Brian Davis

75 papers and 1.5k indexed citations i.

About

Brian Davis is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Brian Davis has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Molecular Biology and 12 papers in Information Systems. Recurrent topics in Brian Davis’s work include Semantic Web and Ontologies (9 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). Brian Davis is often cited by papers focused on Semantic Web and Ontologies (9 papers), Topic Modeling (9 papers) and Natural Language Processing Techniques (9 papers). Brian Davis collaborates with scholars based in Ireland, United States and Germany. Brian Davis's co-authors include James I. Garrels, Thomas W. Jeffries, Jérôme Reboul, Philippe Vaglio, Lisa Matthews, Sylvie Vincent, Marc Vidal, Hui Ming Ge, William E. Payne and Peter E. Hodges and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Co-authorship network of co-authors of Brian Davis i

Fields of papers citing papers by Brian Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Davis. 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 Brian Davis. The network helps show where Brian Davis may publish in the future.

Countries citing papers authored by Brian Davis

Since Specialization
Citations

This map shows the geographic impact of Brian Davis'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 Brian Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Davis 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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