Greg Wilson
Impact in
- Computer Science Applications top 0.5%
- Teaching and Learning Programming
- Information Systems and Management top 0.2%
- Scientific Computing and Data Management
Papers in
-
- Teaching and Learning Programming 27
- Open Source Software Innovations 6
-
- Parallel Computing and Optimization Techniques 17
- Co-authors
- Hardeep K. Nahal-Bose (1 shared paper)Nicholas James Provart (1 shared paper)Ron Ammar (1 shared paper)Godfrey Stuart Pawley (1 shared paper)Andy Oram (3 shared papers)Tracy K. Teal (3 shared papers)Karen Cranston (3 shared papers)Jorge Aranda (4 shared papers)
- Journals
- PLoS Computational Biology (11 papers)American Scientist (5 papers)Computing in Science & Engineering (4 papers)IEEE Software (2 papers)F1000Research (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Greg Wilson
80 papers receiving 4.9k citations
Greg Wilson's Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Science Applications 495
- Information Systems and Management 660
- Plant Science 1.5k
- Information Systems 936
- Hardware and Architecture 182
Countries citing papers authored by Greg Wilson
This map shows the geographic impact of Greg Wilson'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 Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Wilson more than expected).
Fields of papers citing papers by Greg Wilson
This network shows the impact of papers produced by Greg Wilson. 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 Wilson. The network helps show where Greg Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Wilson, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets Hit paper breakdown → | 2007 | 2132 |
| 2 | Best Practices for Scientific Computing Hit paper breakdown → | 2014 | 459 |
| 3 | 1988 | 445 | |
| 4 | Good enough practices in scientific computing. Hit paper breakdown → | 2017 | 280 |
| 5 | 2009 | 184 | |
| 6 | 2016 | 133 | |
| 7 | 2016 | 126 | |
| 8 | Making Software: What Really Works, and Why We Believe It | 2010 | 106 |
| 9 | 2006 | 99 | |
| 10 | 2015 | 84 | |
| 11 | 2005 | 64 | |
| 12 | 2007 | 64 | |
| 13 | 2018 | 62 | |
| 14 | 2008 | 60 | |
| 15 | 2014 | 51 | |
| 16 | 1987 | 46 | |
| 17 | 2005 | 43 | |
| 18 | 2011 | 34 | |
| 19 | 2011 | 34 | |
| 20 | 2005 | 33 |
About Greg Wilson
Greg Wilson is a scholar working on Computer Science Applications, Hardware and Architecture, Information Systems and Management, Information Systems and Artificial Intelligence, having authored 90 papers that have together received 5.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (27 papers), Software Engineering Techniques and Practices (18 papers), Parallel Computing and Optimization Techniques (17 papers), Scientific Computing and Data Management (14 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers), Open Source Software Innovations (6 papers), Distributed and Parallel Computing Systems (5 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Computer Science Applications (495 citations), Information Systems and Management (660 citations), Plant Science (1.5k citations), Information Systems (936 citations) and Hardware and Architecture (182 citations). Greg Wilson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hardeep K. Nahal-Bose, Nicholas James Provart, Ron Ammar, Godfrey Stuart Pawley, Andy Oram, Tracy K. Teal, Karen Cranston, Jorge Aranda, Alexander J. Nederbragt and Justin A. Kitzes. Their work appears in journals such as PLoS Computational Biology, American Scientist, Computing in Science & Engineering, IEEE Software and F1000Research.
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.