Dan Craigen

1.4k citations
28 papers · 443 · h-index 9

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Model-Driven Software Engineering Techniques
    • Information and Cyber Security
    • Software Engineering Research

Papers in

Dan Craigen

26 papers receiving 392 citations

Peers

Dan Craigen
Comparison fields: 5 of 61
  • Software 141
  • Information Systems 207
  • Computational Theory and Mathematics 112
  • Hardware and Architecture 29
  • Signal Processing 45
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Bingchiang Jeng Taiwan
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Citations per field
00.5×4.3×
Thomas A. Alspaugh · 1×
Citations per year

Countries citing papers authored by Dan Craigen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Craigen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Dan Craigen, 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 Dan Craigen Line = papers co-authored together Dan Craigen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 199474
3 201454
4 199551
5 199319
6 199415
7
Industrial applications of formal methods to model, design and analyze computer systems: an international survey
199514
8
An International Survey of Industrial Applications of Formal Methods. Volume 1: Purpose, Approach, Analysis, and Conclusions
199311
9 20138
10 19907
11 20027
12 19946
13 19885
14 20135
15 19904
16 20134
17 20204
18 19943
19 19912
20 20142

About Dan Craigen

Dan Craigen is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Software and Political Science and International Relations, having authored 28 papers that have together received 443 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Logic, programming, and type systems (8 papers), Cybersecurity and Cyber Warfare Studies (7 papers), Security and Verification in Computing (7 papers), Information and Cyber Security (6 papers), Advanced Malware Detection Techniques (3 papers), Software Testing and Debugging Techniques (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Software (141 citations), Information Systems (207 citations), Computational Theory and Mathematics (112 citations), Hardware and Architecture (29 citations) and Signal Processing (45 citations). Dan Craigen has collaborated with scholars based in Canada and United States. Frequent co-authors include Ted Ralston, S. Gerhart, Susan L. Gerhart, Tony Bailetti, David Hudson, S. A. McKeen, Steven Muegge, David Whyte, Mark Saaltink and Donald I. Good. Their work appears in journals such as IEEE Software, IEEE Transactions on Software Engineering, Technology Innovation Management Review, SHILAP Revista de lepidopterología and International Conference on Software Engineering.

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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