Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0
Impact in
- Software 63
- Authors
- Pierre BourqueRichard E. Fairley
- Journal
- IEEE Computer Society Press eBooks
In The Last Decade
doi.org/w5151110 →Countries where authors are citing Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0
This map shows the geographic impact of Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0. 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 Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0 more than expected).
Fields of papers citing Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0
This network shows the impact of Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0.
About Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0
This paper, published in 2014, received 308 indexed citations . Written by Pierre Bourque and Richard E. Fairley. It is primarily cited by scholars working on Information Systems (218 citations), Software (63 citations), Artificial Intelligence (63 citations), Computer Science Applications (58 citations) and Computer Networks and Communications (53 citations). Published in 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.
This paper is also available at doi.org/w5151110.