David Chays

425 citations
9 papers · 302 indexed · h-index 8
Topics
Software Testing and Debugging Techniques (8 papers)Software System Performance and Reliability (7 papers)Software Reliability and Analysis Research (6 papers)
Journals
Software Testing Verification and ReliabilityInternational Conference on Software EngineeringACM SIGSOFT Software Engineering Notes
Partner nations
United States

In The Last Decade

David Chays

9 papers receiving 267 citations

Peers

David Chays
Comparison fields: 5 of 19
  • Software 241
  • Computer Networks and Communications 178
  • Information Systems 132
  • Artificial Intelligence 33
  • Signal Processing 19
Replace Birgit Demuth with:
Birgit Demuth Germany
Marina Polishchuk United States
Yuchao Huang Canada
Pavan Kumar Chittimalli India
Jinfu Chen Canada
Chongfeng Hu United States
Quanjun Zhang China
Raffi Khatchadourian United States
Aryaz Eghbali Germany
Tiago L. Alves Portugal
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Citations per field
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Citations per year

Countries citing papers authored by David Chays

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Chays

This figure shows the co-authorship network connecting the top 25 collaborators of David Chays. A scholar is included among the top collaborators of David Chays 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 David Chays. David Chays is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Will There Ever Be Consensus on CS1
7
2 25
3 54
4
Test data generation for relational database applications
9
5 99
6
An AGENDA for testing relational database applications: Research Articles
9
7 13
8 78
9 8

About David Chays

David Chays is a scholar working on Software, Computer Networks and Communications and Computer Science Applications, having authored 9 papers that have together received 302 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (8 papers), Software System Performance and Reliability (7 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Software (241 citations), Computer Networks and Communications (178 citations) and Information Systems (132 citations). David Chays has collaborated with scholars based in United States. 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.

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