David Chays
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
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- Software System Performance and Reliability
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in
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- Software System Performance and Reliability 7
- Advanced Database Systems and Queries 1
- Distributed systems and fault tolerance 1
- Software 8
- Software Testing and Debugging Techniques 8
- Software Reliability and Analysis Research 6
- Co-authors
- Phyllis G. Frankl (7 shared papers)Yuetang Deng (4 shared papers)Filippos I. Vokolos (4 shared papers)Elaine J. Weyuker (4 shared papers)
- Journals
- Software Testing Verification and Reliability (1 paper)International Conference on Software Engineering (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
David Chays
9 papers receiving 295 citations
Peers
Comparison fields: 5 of 20
- Software 258
- Computer Networks and Communications 194
- Information Systems 141
- Signal Processing 23
- Management Science and Operations Research 23
Countries citing papers authored by David Chays
This map shows the geographic impact of David Chays'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 David Chays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chays more than expected).
Fields of papers citing papers by David Chays
This network shows the impact of papers produced by David Chays. 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 David Chays. The network helps show where David Chays may publish in the future.
Co-authors
The 4 scholars most cited alongside David Chays, 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 | 2004 | 106 | |
| 2 | 2000 | 86 | |
| 3 | 2005 | 58 | |
| 4 | 2008 | 29 | |
| 5 | 2003 | 13 | |
| 6 | 2000 | 10 | |
| 7 | An AGENDA for testing relational database applications: Research Articles | 2004 | 10 |
| 8 | Test data generation for relational database applications | 2004 | 9 |
| 9 | Will There Ever Be Consensus on CS1 | 2008 | 7 |
About David Chays
David Chays is a scholar working on Computer Networks and Communications, Software, Information Systems, Management Science and Operations Research and Computer Science Applications, having authored 9 papers that have together received 328 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Software System Performance and Reliability (7 papers), Software Reliability and Analysis Research (6 papers), Advanced Database Systems and Queries (1 paper), Software Engineering Research (1 paper), Teaching and Learning Programming (1 paper), Distributed systems and fault tolerance (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Software (258 citations), Computer Networks and Communications (194 citations), Information Systems (141 citations), Signal Processing (23 citations) and Management Science and Operations Research (23 citations). David Chays has collaborated with scholars based in United States and Russia. Frequent co-authors include Phyllis G. Frankl, Yuetang Deng, Filippos I. Vokolos and Elaine J. Weyuker. Their work appears in journals such as Software Testing Verification and Reliability, International Conference on Software Engineering and ACM SIGSOFT Software Engineering Notes.
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.