Will Tracz
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Artificial Intelligence top 2%
- Advanced Software Engineering Methodologies
- Logic, programming, and type systems
Papers in
-
- Advanced Software Engineering Methodologies 43
- Logic, programming, and type systems 2
-
- Software Engineering Research 8
- Software Engineering Techniques and Practices 4
- Educational Technology and E-Learning 2
- Co-authors
- Richard N. Taylor (1 shared paper)Joseph A. Goguen (1 shared paper)Martin Griss (4 shared papers)Don S. Batory (2 shared papers)Sallie Marie Henry (1 shared paper)Ivar Jacobson (1 shared paper)Doug Lea (2 shared papers)Ted J. Biggerstaff (1 shared paper)
- Journals
- IEEE Software (1 paper)ACM SIGPLAN Notices (1 paper)ACM SIGCSE Bulletin (1 paper)Cambridge University Press eBooks (1 paper)IEEE Computer Society Press eBooks (3 papers)
- Partner nations
- United States
In The Last Decade
Will Tracz
49 papers receiving 681 citations
Peers
Comparison fields: 5 of 45
- Software 112
- Artificial Intelligence 520
- Information Systems 319
- Computer Science Applications 22
- Management Science and Operations Research 17
Countries citing papers authored by Will Tracz
This map shows the geographic impact of Will Tracz'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 Will Tracz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Tracz more than expected).
Fields of papers citing papers by Will Tracz
This network shows the impact of papers produced by Will Tracz. 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 Will Tracz. The network helps show where Will Tracz may publish in the future.
Co-authors
The 13 scholars most cited alongside Will Tracz, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 104 | |
| 2 | 1988 | 76 | |
| 3 | 1994 | 62 | |
| 4 | Confessions of a used program salesman: institutionalizing software reuse | 1995 | 52 |
| 5 | Tutorial: Software Reuse: Emerging Technology | 1988 | 46 |
| 6 | 1990 | 42 | |
| 7 | 1993 | 40 | |
| 8 | 1995 | 35 | |
| 9 | 1995 | 33 | |
| 10 | Software Reuse: Motivators and Inhibitors. | 1987 | 26 |
| 11 | 1991 | 25 | |
| 12 | 2015 | 23 | |
| 13 | An implementation-oriented semantics for module composition | 2000 | 22 |
| 14 | 2003 | 21 | |
| 15 | 1993 | 20 | |
| 16 | 2002 | 17 | |
| 17 | Software reuses: motivators and inhibitors | 1988 | 12 |
| 18 | Reusability Comes of Age. | 1987 | 10 |
| 19 | 1974 | 9 | |
| 20 | RMISE workshop on software reuse meeting summary | 1988 | 8 |
About Will Tracz
Will Tracz is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Science Applications and Media Technology, having authored 50 papers that have together received 783 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (43 papers), Software Engineering Research (8 papers), Software Engineering Techniques and Practices (4 papers), Educational Technology and E-Learning (2 papers), Teaching and Learning Programming (2 papers), Logic, programming, and type systems (2 papers), Experimental Learning in Engineering (2 papers) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Software (112 citations), Artificial Intelligence (520 citations), Information Systems (319 citations), Computer Science Applications (22 citations) and Management Science and Operations Research (17 citations). Will Tracz has collaborated with scholars based in United States. Frequent co-authors include Richard N. Taylor, Joseph A. Goguen, Martin Griss, Don S. Batory, Sallie Marie Henry, Ivar Jacobson, Doug Lea, Ted J. Biggerstaff, Terry B. Bollinger and Bruce H. Barnes. Their work appears in journals such as IEEE Software, ACM SIGPLAN Notices, ACM SIGCSE Bulletin, Cambridge University Press eBooks and IEEE Computer Society Press eBooks.
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.