Carl G. Davis
- Software top 0.5%
- Software Reliability and Analysis Research 11
- Software Testing and Debugging Techniques 5
- Information Systems top 0.5%
- Software Engineering Research 13
- Software Engineering Techniques and Practices 5
- Artificial Intelligence top 5%
- Advanced Software Engineering Methodologies 4
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- Advanced Malware Detection Techniques 4
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- Parallel Computing and Optimization Techniques 2
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- Business Process Modeling and Analysis 2
Carl G. Davis
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Software 746
- Information Systems 1.1k
- Artificial Intelligence 441
- Computer Science Applications 66
- Computer Networks and Communications 257
Countries citing papers authored by Carl G. Davis
This map shows the geographic impact of Carl G. Davis'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 Carl G. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl G. Davis more than expected).
Fields of papers citing papers by Carl G. Davis
This network shows the impact of papers produced by Carl G. Davis. 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 Carl G. Davis. The network helps show where Carl G. Davis may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Carl G. Davis, 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 | Design and Code Complexity Metrics for OO Classes | 2003 | 31 |
| 2 | A hierarchical model for object-oriented design quality assessmentbreakdown → | 2002 | 717 |
| 3 | 2002 | 8 | |
| 4 | 2001 | 34 | |
| 5 | 2001 | 27 | |
| 6 | 1999 | 32 | |
| 7 | 1999 | 28 | |
| 8 | A Practical Look at the Lack of Cohesion in Methods Metric. | 1998 | 36 |
| 9 | Clarifying specialized forms of association in UML and OML | 1998 | 97 |
| 10 | The Program Analysis Tool for Reuse: Identifying Reusable Components | 1998 | 3 |
| 11 | A hierarchical model for quality assessment of object-oriented designs | 1997 | 19 |
| 12 | 1997 | 75 | |
| 13 | 1996 | 16 | |
| 14 | 1985 | 9 | |
| 15 | Proc. of the third international conference on Entity-relationship approach to software engineering | 1983 | 4 |
| 16 | 1982 | 10 | |
| 17 | 1982 | 2 | |
| 18 | 1977 | 82 | |
| 19 | The Software Development System (Abstract). | 1976 | 1 |
| 20 | 1976 | 9 |
About Carl G. Davis
Carl G. Davis is a scholar working on Software, Information Systems and Hardware and Architecture, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Software Reliability and Analysis Research (11 papers), Software Engineering Techniques and Practices (5 papers), Software Testing and Debugging Techniques (5 papers), Advanced Malware Detection Techniques (4 papers), Advanced Software Engineering Methodologies (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Business Process Modeling and Analysis (2 papers). The work is most often cited by research in Software (746 citations), Information Systems (1.1k citations) and Artificial Intelligence (441 citations). Carl G. Davis has collaborated with scholars based in United States. Frequent co-authors include Letha H. Etzkorn, Wei Li, Wei Li, William E. Hughes, P. A. D. de Maine, Sushil Jajodia, Raymond T. Yeh, Peter A. Ng, Donald Musa and Leon G. Stucki. Their work appears in journals such as IEEE Transactions on Software Engineering, Computer and Knowledge-Based Systems.
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.