William M. Waite
- Software top 2%
- Model-Driven Software Engineering Techniques 10
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 15
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- Teaching and Learning Programming 14
- Artificial Intelligence top 2%
- Logic, programming, and type systems 9
- Advanced Software Engineering Methodologies 5
- Information Systems top 2%
- Software Engineering Research 11
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- Distributed and Parallel Computing Systems 10
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- Innovative Teaching and Learning Methods 6
- Co-authors
- Michèle H. JacksonAmer DiwanUwe KastensPaul M. LeonardiAnthony M. SloaneVincent P. HeuringClayton LewisW. M. McKeeman
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
William M. Waite
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Software 272
- Hardware and Architecture 283
- Computer Science Applications 210
- Artificial Intelligence 540
- Information Systems 352
Countries citing papers authored by William M. Waite
This map shows the geographic impact of William M. Waite'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 William M. Waite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Waite more than expected).
Fields of papers citing papers by William M. Waite
This network shows the impact of papers produced by William M. Waite. 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 William M. Waite. The network helps show where William M. Waite may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William M. Waite, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 0 | |
| 2 | 2017 | 0 | |
| 3 | 2009 | 1 | |
| 4 | 2005 | 1 | |
| 5 | 2004 | 5 | |
| 6 | 2004 | 7 | |
| 7 | 2004 | 51 | |
| 8 | 2002 | 0 | |
| 9 | Proceedings of the sixteenth ACM symposium on Operating systems principles | 1997 | 1 |
| 10 | 1994 | 76 | |
| 11 | A Complete Specification of a Simple Compiler ; CU-CS-638-93 | 1993 | 2 |
| 12 | 1985 | 2 | |
| 13 | 1983 | 1 | |
| 14 | 1980 | 23 | |
| 15 | Code Generation | 1976 | 3 |
| 16 | Implementing software for non-numeric applications | 1973 | 24 |
| 17 | 1970 | 39 | |
| 18 | 1969 | 1 | |
| 19 | 1967 | 26 | |
| 20 | 1964 | 1 |
About William M. Waite
William M. Waite is a scholar working on Software, Computer Science Applications and Hardware and Architecture, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Teaching and Learning Programming (14 papers), Software Engineering Research (11 papers), Model-Driven Software Engineering Techniques (10 papers), Distributed and Parallel Computing Systems (10 papers), Logic, programming, and type systems (9 papers), Innovative Teaching and Learning Methods (6 papers) and Advanced Software Engineering Methodologies (5 papers). The work is most often cited by research in Software (272 citations), Hardware and Architecture (283 citations) and Computer Science Applications (210 citations). William M. Waite has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michèle H. Jackson, Amer Diwan, Uwe Kastens, Paul M. Leonardi, Anthony M. Sloane, Vincent P. Heuring, Clayton Lewis, W. M. McKeeman, Friedrich L. Bauer and J. J. Horning.
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.