Greg Wilson
Impact in
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management
- Computer Science Applications top 0.5%
Papers in
-
- Software Engineering Research 13
- Software Engineering Techniques and Practices 8
- Research Data Management Practices 4
-
- Distributed and Parallel Computing Systems 15
- Co-authors
- Hardeep K. Nahal-Bose (1 shared paper)Ron Ammar (1 shared paper)Nicholas J. Provart (1 shared paper)G. S. Pawley (1 shared paper)Tracy Teal (2 shared papers)Karen Cranston (2 shared papers)Jorge Aranda (4 shared papers)Andy Oram (3 shared papers)
- Journals
- PLoS Computational Biology (9 papers)American Scientist (5 papers)Computing in Science & Engineering (4 papers)IEEE Software (2 papers)Empirical Software Engineering (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Greg Wilson
68 papers receiving 4.3k citations
Greg Wilson's Hit Papers
Peers
Comparison fields: 5 of 175
- Information Systems and Management 609
- Computer Science Applications 384
- Plant Science 1.7k
- Software 165
- Information Systems 857
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 74 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 | 2035 |
| 2 | 1988 | 402 | |
| 3 | Best Practices for Scientific Computing Hit paper breakdown → | 2014 | 400 |
| 4 | Good enough practices in scientific computing. Hit paper breakdown → | 2017 | 245 |
| 5 | 2009 | 152 | |
| 6 | 2016 | 111 | |
| 7 | 2006 | 85 | |
| 8 | 2015 | 75 | |
| 9 | Making Software: What Really Works, and Why We Believe It | 2010 | 74 |
| 10 | 2007 | 60 | |
| 11 | 2005 | 60 | |
| 12 | 2008 | 59 | |
| 13 | 2018 | 52 | |
| 14 | 1987 | 44 | |
| 15 | 2005 | 37 | |
| 16 | 2011 | 34 | |
| 17 | 2005 | 31 | |
| 18 | 2011 | 29 | |
| 19 | 2019 | 28 | |
| 20 | 2006 | 25 |
About Greg Wilson
Greg Wilson is a scholar working on Information Systems, Computer Networks and Communications, Computer Science Applications, Information Systems and Management and Artificial Intelligence, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Software Engineering Research (13 papers), Scientific Computing and Data Management (13 papers), Teaching and Learning Programming (10 papers), Parallel Computing and Optimization Techniques (9 papers), Software Engineering Techniques and Practices (8 papers), Research Data Management Practices (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Information Systems and Management (609 citations), Computer Science Applications (384 citations), Plant Science (1.7k citations), Software (165 citations) and Information Systems (857 citations). Greg Wilson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hardeep K. Nahal-Bose, Ron Ammar, Nicholas J. Provart, G. S. Pawley, Tracy Teal, Karen Cranston, Jorge Aranda, Andy Oram, Alexander J. Nederbragt and Justin Kitzes. Their work appears in journals such as PLoS Computational Biology, American Scientist, Computing in Science & Engineering, IEEE Software and Empirical Software Engineering.
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.