Watts S. Humphrey
- Information Systems top 0.1%
- Management Information Systems top 0.5%
- Software top 0.5%
- Artificial Intelligence top 2%
- Computer Science Applications top 0.5%
- Co-authors
- Ronald R. WillisMarc I. KellnerPeter H. FeilerThomas B. HilburnWilliam L. SweetDavid H. KitsonBruce CurtisStephen Macke
- Topics
- Software Engineering Techniques and Practices (48 papers)Software Engineering Research (37 papers)Software Reliability and Analysis Research (16 papers)
- Partner nations
- United StatesMexicoGermany
In The Last Decade
Watts S. Humphrey
69 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Information Systems 3.0k
- Management Information Systems 1.0k
- Software 1.0k
- Artificial Intelligence 587
- Computer Science Applications 481
Countries citing papers authored by Watts S. Humphrey
This map shows the geographic impact of Watts S. Humphrey'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 Watts S. Humphrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Watts S. Humphrey more than expected).
Fields of papers citing papers by Watts S. Humphrey
This network shows the impact of papers produced by Watts S. Humphrey. 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 Watts S. Humphrey. The network helps show where Watts S. Humphrey may publish in the future.
Co-authorship network of co-authors of Watts S. Humphrey
This figure shows the co-authorship network connecting the top 25 collaborators of Watts S. Humphrey. A scholar is included among the top collaborators of Watts S. Humphrey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Watts S. Humphrey. Watts S. Humphrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 111 | |
| 5 | 13 | |
| 6 | 35 | |
| 7 | The Personal Software Process SM (PSP SM ) | 2 |
| 8 | Introduction to the Team Software Process | 262 |
| 9 | The Software Quality Profile | 10 |
| 10 | 22 | |
| 11 | Three Dimensions of Process Improvement Part I: Process Maturity | 6 |
| 12 | 7 | |
| 13 | 5 | |
| 14 | Review of The cleanroom approach to quality software development by Michael Dyer, John Wiley & Sons, Inc., 1992 | 3 |
| 15 | The Personal Software Process-Rationale and Status. | 4 |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 28 | |
| 19 | 0 | |
| 20 | Managing for innovation | 1 |
About Watts S. Humphrey
Watts S. Humphrey is a scholar working on Software, Information Systems and Management Information Systems, having authored 75 papers that have together received 3.9k indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (48 papers), Software Engineering Research (37 papers) and Software Reliability and Analysis Research (16 papers). The work is most often cited by research in Software (1.0k citations), Information Systems (3.0k citations) and Management Information Systems (1.0k citations). Watts S. Humphrey has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Ronald R. Willis, Marc I. Kellner, Peter H. Feiler, Thomas B. Hilburn, William L. Sweet, David H. Kitson, Bruce Curtis, Stephen Macke, Nozer D. Singpurwalla and Gary McGraw. Their work appears in journals such as IEEE Transactions on Software Engineering, Computer and IEEE Software.
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.