Phil Milliman
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in ⓘ
- Software 3
- Software Reliability and Analysis Research 3
-
- Software Engineering Research 6
- Software Engineering Techniques and Practices 3
- Cloud Computing and Resource Management 1
- Co-authors
- Sylvia B. Sheppard (6 shared papers)Tom Love (2 shared papers)Bruce Curtis (2 shared papers)Bill Curtis (5 shared papers)
- Journals
- IEEE Transactions on Software Engineering (1 paper)McGraw-Hill, Inc. eBooks (1 paper)International Conference on Software Engineering (2 papers)Defense Technical Information Center (DTIC) (2 papers)
- Partner nations
- United States
In The Last Decade
Phil Milliman
7 papers receiving 267 citations
Peers
Comparison fields: 5 of 39
- Software 190
- Information Systems 284
- Computer Science Applications 44
- Artificial Intelligence 101
- Computer Networks and Communications 41
Countries citing papers authored by Phil Milliman
This map shows the geographic impact of Phil Milliman'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 Phil Milliman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Milliman more than expected).
Fields of papers citing papers by Phil Milliman
This network shows the impact of papers produced by Phil Milliman. 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 Phil Milliman. The network helps show where Phil Milliman may publish in the future.
Co-authors
The 4 scholars most cited alongside Phil Milliman, 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 | 1979 | 203 | |
| 2 | 1979 | 82 | |
| 3 | 1979 | 11 | |
| 4 | Third Time Charm: Stronger Replication of the Ability of Software Complexity Metrics to Predict Programmer Performance. | 1979 | 9 |
| 5 | Experimental Evaluation of On-Line Program Construction. | 1979 | 7 |
| 6 | Factors Affecting Programmer Performance in a Debugging Task. | 1979 | 3 |
| 7 | Third-time charm: stronger prediction of programmer performance by software complexity metrics | 1993 | 1 |
About Phil Milliman
Phil Milliman is a scholar working on Software, Information Systems, Computer Science Applications, Computer Networks and Communications and Artificial Intelligence, having authored 7 papers that have together received 316 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Engineering Techniques and Practices (3 papers), Software System Performance and Reliability (3 papers), Software Reliability and Analysis Research (3 papers), Cloud Computing and Resource Management (1 paper), Online Learning and Analytics (1 paper) and Advanced Software Engineering Methodologies (1 paper). The work is most often cited by research in Software (190 citations), Information Systems (284 citations), Computer Science Applications (44 citations), Artificial Intelligence (101 citations) and Computer Networks and Communications (41 citations). Phil Milliman has collaborated with scholars based in United States. Frequent co-authors include Sylvia B. Sheppard, Tom Love, Bruce Curtis and Bill Curtis. Their work appears in journals such as IEEE Transactions on Software Engineering, McGraw-Hill, Inc. eBooks, International Conference on Software Engineering and Defense Technical Information Center (DTIC).
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.