Brian Davis
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
-
- Semantic Web and Ontologies 14
- Natural Language Processing Techniques 12
- Topic Modeling 12
- Sentiment Analysis and Opinion Mining 7
- Hate Speech and Cyberbullying Detection 6
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- Fungal and yeast genetics research 8
- Microbial Metabolic Engineering and Bioproduction 6
- Biomedical Text Mining and Ontologies 6
- Co-authors
- James I. Garrels (2 shared papers)Thomas W. Jeffries (6 shared papers)Siegfried Handschuh (18 shared papers)Lisa Matthews (1 shared paper)Hui Ming Ge (1 shared paper)Jérôme Reboul (1 shared paper)Marc Vidal (1 shared paper)Philippe Vaglio (1 shared paper)
- Journals
- Language Resources and Evaluation (8 papers)Applied and Environmental Microbiology (2 papers)Journal of Advertising Research (2 papers)Plant Cell Reports (2 papers)Genes & Development (2 papers)
- Partner nations
- IrelandUnited StatesGermany
In The Last Decade
Brian Davis
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 871
- Artificial Intelligence 361
- Public Administration 35
- Management Science and Operations Research 111
- Aging 13
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 350 | |
| 2 | 1999 | 180 | |
| 3 | 2017 | 102 | |
| 4 | 2017 | 92 | |
| 5 | 2018 | 80 | |
| 6 | 2014 | 77 | |
| 7 | 1993 | 57 | |
| 8 | 2005 | 57 | |
| 9 | 1999 | 50 | |
| 10 | 1994 | 48 | |
| 11 | 1998 | 42 | |
| 12 | 1997 | 42 | |
| 13 | 2008 | 41 | |
| 14 | 1983 | 34 | |
| 15 | 1988 | 33 | |
| 16 | 1989 | 33 | |
| 17 | 1989 | 29 | |
| 18 | 1998 | 27 | |
| 19 | 2014 | 27 | |
| 20 | 1983 | 23 |
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 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Fungal and yeast genetics research (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Molecular Biology (871 citations), Artificial Intelligence (361 citations), Public Administration (35 citations), Management Science and Operations Research (111 citations) and Aging (13 citations). Brian Davis has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include James I. Garrels, Thomas W. Jeffries, Siegfried Handschuh, Lisa Matthews, Hui Ming Ge, Jérôme Reboul, Marc Vidal, Philippe Vaglio, Sylvie Vincent and William H. Baker. Their work appears in journals such as Language Resources and Evaluation, Applied and Environmental Microbiology, Journal of Advertising Research, Plant Cell Reports and Genes & Development.
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.