John C. Cherniavsky

1.3k citations
26 papers · 728 indexed · h-index 8

John C. Cherniavsky

21 papers receiving 647 citations

Peers

John C. Cherniavsky
Comparison fields: 5 of 92
  • Software 212
  • Information Systems 437
  • Computer Science Applications 79
  • Developmental and Educational Psychology 122
  • Computational Theory and Mathematics 90
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Citations per year

Countries citing papers authored by John C. Cherniavsky

Since Specialization
Citations

This map shows the geographic impact of John C. Cherniavsky'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. Cherniavsky 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. Cherniavsky more than expected).

Fields of papers citing papers by John C. Cherniavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20060
2 2006297
3 20050
4 20024
5
Fatal Defect: Chasing Killer Computer Bugs, by Peterson. Computer-Related Risks, by Neumann. Safeware: System Safety and Computers, by Leveson.
19962
6 199412
7
Software complexity measures, programming methodologies, and the size of machines
19921
8 199161
9 19886
10 198718
11 19852
12 198214
13 1982266
14 19821
15 19801
16 197910
17 19791
18 19792
19 19751
20 19723

About John C. Cherniavsky

John C. Cherniavsky is a scholar working on Software, Computational Theory and Mathematics, Computer Science Applications, Artificial Intelligence and Information Systems, having authored 26 papers that have together received 728 indexed citations. Recurring topics across this work include Logic, programming, and type systems (5 papers), Computability, Logic, AI Algorithms (4 papers), Software Reliability and Analysis Research (4 papers), Software Engineering Research (4 papers), Formal Methods in Verification (4 papers), semigroups and automata theory (3 papers), Machine Learning and Algorithms (3 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Software (212 citations), Information Systems (437 citations), Computer Science Applications (79 citations), Developmental and Educational Psychology (122 citations) and Computational Theory and Mathematics (90 citations). John C. Cherniavsky has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include W. Richards Adrion, Martha Branstad, Carl H. Smith, Elliot Soloway, Roy Pea, Tom H. Brown, Mike Sharples, Tak-Wai Chan, Pierre Dillenbourg and Chee‐Kit Looi. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, IEEE Transactions on Software Engineering, SIAM Journal on Computing, Journal of the ACM and Computing.

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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