John C. Knight

119 papers receiving 2.0k citations

Peers

John C. Knight
Comparison fields: 5 of 104
  • Software 850
  • Medical Laboratory Technology 92
  • Safety, Risk, Reliability and Quality 466
  • Information Systems 817
  • Statistics, Probability and Uncertainty 232
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Watts S. Humphrey United States
Michael E. Fagan United States
H. Dieter Rombach United States
Tom DeMarco United States
Pankaj Jalote India
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Jeffrey C. Carver United States
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Citations per year

Countries citing papers authored by John C. Knight

Since Specialization
Citations

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

Fields of papers citing papers by John C. Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Knight. 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 John C. Knight. The network helps show where John C. Knight may publish in the future.

Co-authors

The 25 scholars most cited alongside John C. Knight, 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 John C. Knight Line = papers co-authored together John C. Knight links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
N-variant systems: a secretless framework for security through diversity
2006215
2 1993144
3 1991135
4 2010131
5 2000117
6 1990108
7 2004101
8 199487
9 200556
10 198953
11
Why are Formal Methods Not Used More Widely
199749
12 200749
13 201239
14 199136
15 199835
16 200235
17 199933
18 199432
19 198828
20 200028

About John C. Knight

John C. Knight is a scholar working on Software, Safety, Risk, Reliability and Quality, Information Systems, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 126 papers that have together received 2.3k indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (36 papers), Software Engineering Research (28 papers), Safety Systems Engineering in Autonomy (26 papers), Risk and Safety Analysis (17 papers), Software Engineering Techniques and Practices (13 papers), Software Testing and Debugging Techniques (12 papers), Distributed systems and fault tolerance (11 papers) and Advanced Software Engineering Methodologies (11 papers). The work is most often cited by research in Software (850 citations), Medical Laboratory Technology (92 citations), Safety, Risk, Reliability and Quality (466 citations), Information Systems (817 citations) and Statistics, Probability and Uncertainty (232 citations). John C. Knight has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elisabeth A. Strunk, Nancy Leveson, Kevin Sullivan, Patrick Graydon, Jack Davidson, Jonathan C. Rowanhill, Tim Kelly, Richard David Hawkins, Susan S. Brilliant and Chenxi Wang. Their work appears in journals such as Australian Journal of Education, IEEE Transactions on Software Engineering, Communications of the ACM, British Journal of Sociology of Education and Journal of Real Estate Research.

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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