Greg Butler

1.3k citations
39 papers · 457 · h-index 11

Impact in

Papers in

    • Advanced Software Engineering Methodologies 9
    • Semantic Web and Ontologies 5
    • Coding theory and cryptography 4
    • Genomics and Phylogenetic Studies 7
    • Biomedical Text Mining and Ontologies 7

Greg Butler

35 papers receiving 429 citations

Peers

Greg Butler
Comparison fields: 5 of 108
  • Software 50
  • Discrete Mathematics and Combinatorics 22
  • Information Systems 121
  • Agronomy and Crop Science 52
  • Artificial Intelligence 157
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Citations per year

Countries citing papers authored by Greg Butler

Since Specialization
Citations

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

Fields of papers citing papers by Greg Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Greg Butler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg Butler Line = papers co-authored together Greg Butler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 201341
3 201238
4 200633
5
Refactoring use case models: the metamodel
200331
6 201428
7 200623
8 201518
9 200018
10 200115
11 201310
12 201310
13 19939
14 20097
15
The FungalWeb Ontology: Application Scenarios
20057
16 20016
17 20056
18 20136
19 19945
20 19935

About Greg Butler

Greg Butler is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Software and Discrete Mathematics and Combinatorics, having authored 39 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (9 papers), Genomics and Phylogenetic Studies (7 papers), Biomedical Text Mining and Ontologies (7 papers), Service-Oriented Architecture and Web Services (7 papers), Model-Driven Software Engineering Techniques (7 papers), Semantic Web and Ontologies (5 papers), Coding theory and cryptography (4 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Software (50 citations), Discrete Mathematics and Combinatorics (22 citations), Information Systems (121 citations), Agronomy and Crop Science (52 citations) and Artificial Intelligence (157 citations). Greg Butler has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Adrian Tsang, Marie‐Jean Meurs, René Witte, Meng Qi, Mary Beth Leigh, L. Brent Selinger, Emilio M. Ungerfeld, Perry S. Barboza, Pan Wang and Tim A. McAllister. Their work appears in journals such as Mathematics of Computation, PLoS ONE, Information Sciences, Journal of Cutaneous Pathology and Journal of Web Semantics.

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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