Brian Davis
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Semantic Web and Ontologies 28
- Natural Language Processing Techniques 23
- Topic Modeling 19
- Sentiment Analysis and Opinion Mining 9
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- Biomedical Text Mining and Ontologies 9
- Fungal and yeast genetics research 8
- Co-authors
- James I. Garrels (2 shared papers)Siegfried Handschuh (29 shared papers)Thomas W. Jeffries (6 shared papers)Hui Ming Ge (1 shared paper)Marc Vidal (1 shared paper)Lisa Matthews (1 shared paper)Philippe Vaglio (1 shared paper)Sylvie Vincent (1 shared paper)
- Journals
- Language Resources and Evaluation (9 papers)Journal of Advertising Research (2 papers)Genes & Development (2 papers)Journal of Small Business Strategy (2 papers)Journal of Biomedical Informatics (2 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Brian Davis
109 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 690
- Molecular Biology 953
- Computer Vision and Pattern Recognition 215
- Management Science and Operations Research 128
- Public Administration 36
Countries citing papers authored by Brian Davis
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).
Fields of papers citing papers by Brian Davis
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.
Co-authors
The 25 scholars most cited alongside Brian Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 369 | |
| 2 | 1999 | 185 | |
| 3 | 2017 | 121 | |
| 4 | 2017 | 113 | |
| 5 | 2018 | 88 | |
| 6 | 2014 | 80 | |
| 7 | 2007 | 74 | |
| 8 | 1993 | 63 | |
| 9 | 2005 | 61 | |
| 10 | 1999 | 60 | |
| 11 | 1994 | 53 | |
| 12 | 1983 | 50 | |
| 13 | 1998 | 48 | |
| 14 | 2008 | 44 | |
| 15 | 1997 | 42 | |
| 16 | 2008 | 41 | |
| 17 | 2010 | 41 | |
| 18 | 2023 | 39 | |
| 19 | 1989 | 34 | |
| 20 | 1988 | 33 |
About Brian Davis
Brian Davis is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 115 papers that have together received 2.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (28 papers), Natural Language Processing Techniques (23 papers), Topic Modeling (19 papers), Service-Oriented Architecture and Web Services (12 papers), Sentiment Analysis and Opinion Mining (9 papers), Biomedical Text Mining and Ontologies (9 papers), Fungal and yeast genetics research (8 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (690 citations), Molecular Biology (953 citations), Computer Vision and Pattern Recognition (215 citations), Management Science and Operations Research (128 citations) and Public Administration (36 citations). Brian Davis has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include James I. Garrels, Siegfried Handschuh, Thomas W. Jeffries, Hui Ming Ge, Marc Vidal, Lisa Matthews, Philippe Vaglio, Sylvie Vincent, Jérôme Reboul and William H. Baker. Their work appears in journals such as Language Resources and Evaluation, Journal of Advertising Research, Genes & Development, Journal of Small Business Strategy and Journal of Biomedical Informatics.
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.