Brian Davis

3.1k total citations
92 papers, 1.7k citations indexed

About

Brian Davis is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Brian Davis has authored 92 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 21 papers in Molecular Biology and 12 papers in Information Systems. Recurrent topics in Brian Davis's work include Semantic Web and Ontologies (14 papers), Topic Modeling (12 papers) and Natural Language Processing Techniques (12 papers). Brian Davis is often cited by papers focused on Semantic Web and Ontologies (14 papers), Topic Modeling (12 papers) and Natural Language Processing Techniques (12 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, Siegfried Handschuh, Lisa Matthews, Jérôme Reboul, Philippe Vaglio, Marc Vidal, Hui Ming Ge, Sylvie Vincent and William H. Baker and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Brian Davis

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Davis Ireland 21 871 361 143 135 123 92 1.7k
Juyong Park South Korea 25 575 0.7× 247 0.7× 206 1.4× 175 1.3× 81 0.7× 122 3.2k
Carlos Alberto Gomez-Uribe United States 8 654 0.8× 278 0.8× 69 0.5× 178 1.3× 117 1.0× 12 1.5k
Andrea Passerini Italy 22 741 0.9× 673 1.9× 85 0.6× 169 1.3× 65 0.5× 99 2.0k
Amanda Clare United Kingdom 17 626 0.7× 663 1.8× 32 0.2× 102 0.8× 112 0.9× 46 1.7k
Miles Efron United States 14 466 0.5× 631 1.7× 39 0.3× 101 0.7× 26 0.2× 43 1.5k
Benjamin M. Good United States 20 525 0.6× 264 0.7× 33 0.2× 79 0.6× 23 0.2× 52 1.5k
Foldit Players United States 4 444 0.5× 195 0.5× 19 0.1× 153 1.1× 85 0.7× 4 1.5k
Noam Slonim Israel 23 591 0.7× 1.7k 4.6× 55 0.4× 412 3.1× 42 0.3× 79 2.7k
Vladimir Filkov United States 35 681 0.8× 558 1.5× 471 3.3× 60 0.4× 40 0.3× 88 3.9k
Timothy Baldwin Australia 32 1.3k 1.5× 2.0k 5.6× 57 0.4× 209 1.5× 81 0.7× 126 4.3k

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).

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.

Co-authorship network of co-authors of Brian Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Davis. A scholar is included among the top collaborators of Brian Davis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Davis. Brian Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Milošević, Tijana, Kathleen Van Royen, & Brian Davis. (2022). Artificial Intelligence to Address Cyberbullying, Harassment and Abuse: New Directions in the Midst of Complexity. International Journal of Bullying Prevention. 4(1). 1–5. 9 indexed citations
2.
Davis, Brian, et al.. (2018). Indra: A Word Embedding and Semantic Relatedness Server. Language Resources and Evaluation. 5 indexed citations
3.
Timoney, Joseph, et al.. (2018). Nostalgic Sentiment Analysis of YouTube Comments for Chart Hits of the 20th Century. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 386–395. 2 indexed citations
4.
Cortis, Keith, et al.. (2017). SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 519–535. 102 indexed citations
5.
Davis, Brian, Tobias Kuhn, & Kaarel Kaljurand. (2016). LRE journal CNL introduction. Language Resources and Evaluation. 51(1). 9–11. 1 indexed citations
6.
Davis, Brian, et al.. (2016). CNLs for the semantic web: a state of the art. Language Resources and Evaluation. 51(1). 191–220. 3 indexed citations
7.
Davis, Brian, David Read, & Sandra Powell. (2014). Exploring Employee Misconduct in the Workplace: Individual, Organizational, and Opportunity Factors. SSRN Electronic Journal. 1 indexed citations
8.
Davis, Brian, et al.. (2014). Rapid Antigen Group A Streptococcus Test to Diagnose Pharyngitis: A Systematic Review and Meta-Analysis. PLoS ONE. 9(11). e111727–e111727. 77 indexed citations
9.
Scerri, Simon, et al.. (2010). Classifying Action Items for Semantic Email. Language Resources and Evaluation. 169(1). 137–42. 11 indexed citations
10.
Davis, Brian, et al.. (2010). A Use Case for Controlled Languages as Interfaces to Semantic Web Applications. Language Resources and Evaluation. 1 indexed citations
11.
Davis, Brian, et al.. (2008). Linguistically Light Lexical Extensions for Ontologies. Language Resources and Evaluation. 49(9). 2417–26. 2 indexed citations
12.
Scerri, Simon, et al.. (2008). Evaluating the Ontology underlying sMail - the Conceptual Framework for Semantic Email Communication. Language Resources and Evaluation. 3 indexed citations
13.
Cimino, James J., Terry F. Hayamizu, Olivier Bodenreider, et al.. (2008). The caBIG terminology review process. Journal of Biomedical Informatics. 42(3). 571–580. 16 indexed citations
14.
Nováček, Vít, et al.. (2008). Infrastructure for dynamic knowledge integration—Automated biomedical ontology extension using textual resources. Journal of Biomedical Informatics. 41(5). 816–828. 11 indexed citations
15.
Matthews, Lisa, Philippe Vaglio, Jérôme Reboul, et al.. (2001). Identification of Potential Interaction Networks Using Sequence-Based Searches for Conserved Protein-Protein Interactions or “Interologs”. Genome Research. 11(12). 2120–2126. 350 indexed citations
16.
Hodges, Peter E., et al.. (1999). The Yeast Proteome Database (YPD): a model for the organization and presentation of genome-wide functional data. Nucleic Acids Research. 27(1). 69–73. 180 indexed citations
17.
Powell, Sandra, et al.. (1998). An Exploration of Diversity Practices in Small Successful Companies. Journal of Small Business Strategy. 9(2). 77–90. 1 indexed citations
18.
Baker, William H., et al.. (1996). How Forbes 200 Companies Create and use Mission Statements. Journal of Small Business Strategy. 7(2). 59–76. 1 indexed citations
19.
MacDonald, Raymond J., Robert E. Hammer, Galvin H. Swift, Brian Davis, & Ralph L. Brinster. (1986). Transgenic Progeny Inherit Tissue-Specific Expression of Rat Elastase I Genes. DNA. 5(5). 393–401. 10 indexed citations
20.
Davis, Brian. (1985). An empirical investigation of elderly consumer market segments based on information usage and advertising attitudes. University Microfilms International eBooks. 2 indexed citations

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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