Gregory Butler
- Molecular Biology
- Artificial Intelligence top 5%
- Plant Science top 10%
- Discrete Mathematics and Combinatorics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Adrian TsangXiang Jia MinReginald StormsJohn McKayJustin PowlowskiMin WuChelsea L. MurphyJohn J. Cannon
- Topics
- RNA and protein synthesis mechanisms (15 papers)Machine Learning in Bioinformatics (14 papers)Advanced Software Engineering Methodologies (11 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Gregory Butler
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 409
- Artificial Intelligence 276
- Plant Science 187
- Discrete Mathematics and Combinatorics 167
- Computational Theory and Mathematics 133
Countries citing papers authored by Gregory Butler
This map shows the geographic impact of Gregory 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 Gregory Butler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Butler more than expected).
Fields of papers citing papers by Gregory Butler
This network shows the impact of papers produced by Gregory 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 Gregory Butler. The network helps show where Gregory Butler may publish in the future.
Co-authorship network of co-authors of Gregory Butler
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Butler. A scholar is included among the top collaborators of Gregory Butler 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 Gregory Butler. Gregory Butler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 17 | |
| 8 | 20 | |
| 9 | 76 | |
| 10 | 66 | |
| 11 | 339 | |
| 12 | 37 | |
| 13 | Refactoring Use Case Models: A Case Study. | 8 |
| 14 | 3 | |
| 15 | Developing Frameworks by Aligning Requirements, Design, and Code | 4 |
| 16 | 5 | |
| 17 | 70 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 15 |
About Gregory Butler
Gregory Butler is a scholar working on Discrete Mathematics and Combinatorics, Software and Theoretical Computer Science, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Machine Learning in Bioinformatics (14 papers) and Advanced Software Engineering Methodologies (11 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (167 citations), Geometry and Topology (126 citations) and Software (48 citations). Gregory Butler has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Adrian Tsang, Xiang Jia Min, Reginald Storms, John McKay, Justin Powlowski, Min Wu, Chelsea L. Murphy, John J. Cannon, Ellen Panisko and Scott Baker. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.