W.W. Everett

476 citations
11 papers · 178 · h-index 7

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Reliability and Maintenance Optimization
    • Safety Systems Engineering in Autonomy

Papers in

W.W. Everett

11 papers receiving 159 citations

Peers

W.W. Everett
Comparison fields: 5 of 25
  • Software 132
  • Safety, Risk, Reliability and Quality 75
  • Information Systems 101
  • Statistics, Probability and Uncertainty 10
  • Computer Networks and Communications 34
Replace David Pumfrey with:
David Pumfrey United Kingdom
Mei-Hwa Chen United States
Elizabeth Fong United States
Mei-Huei Tang United States
Alain Le Guennec France
Katja Tuma Netherlands
Stephan Hildebrandt Germany
Lena Buffoni Sweden
Y. Levendel United States
David J. Rossetti United States
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Citations per field
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Citations per year

Countries citing papers authored by W.W. Everett

Since Specialization
Citations

This map shows the geographic impact of W.W. Everett'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 W.W. Everett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.W. Everett more than expected).

Fields of papers citing papers by W.W. Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.W. Everett. 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 W.W. Everett. The network helps show where W.W. Everett may publish in the future.

Co-authors

The 10 scholars most cited alongside W.W. Everett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W.W. Everett Line = papers co-authored together W.W. Everett links everyone, so they are left out of the graph.

All Works

About W.W. Everett

W.W. Everett is a scholar working on Software, Safety, Risk, Reliability and Quality, Information Systems, Computer Networks and Communications and Management of Technology and Innovation, having authored 11 papers that have together received 178 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (10 papers), Software Engineering Research (5 papers), Reliability and Maintenance Optimization (5 papers), Software Testing and Debugging Techniques (4 papers), Software System Performance and Reliability (2 papers), Safety Systems Engineering in Autonomy (2 papers) and Transportation Systems and Infrastructure (1 paper). The work is most often cited by research in Software (132 citations), Safety, Risk, Reliability and Quality (75 citations), Information Systems (101 citations), Statistics, Probability and Uncertainty (10 citations) and Computer Networks and Communications (34 citations). W.W. Everett has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Donald Musa, Krishna Kavi, R. C. Tausworthe, Allen P. Nikora, Frederick T. Sheldon, Michael Tortorella, Himanshu Pant, Paul Franklin, Shinichi Honiden and M. Aoyama. Their work appears in journals such as IEEE Software, Software Quality Journal, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Reliability and Computer.

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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