Mark Blackburn

1.3k citations
84 papers · 675 · h-index 15

Impact in

Papers in

    • Software Testing and Debugging Techniques 21
    • Software Reliability and Analysis Research 14
    • Semantic Web and Ontologies 8

Mark Blackburn

69 papers receiving 591 citations

Peers

Mark Blackburn
Comparison fields: 5 of 87
  • Software 238
  • Industrial and Manufacturing Engineering 156
  • Safety, Risk, Reliability and Quality 121
  • Information Systems 152
  • Management Information Systems 59
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Citations per year

Countries citing papers authored by Mark Blackburn

Since Specialization
Citations

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

Fields of papers citing papers by Mark Blackburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017106
2
Why Model-Based Test Automation is Different and What You Should Know to Get Started
200440
3 201836
4 202030
5 201428
6 201828
7 200227
8
Means of Exchange. Dealing with Silver in the Viking Age
200826
9 200222
10
Model-based Approach to Security Test Automation
200121
11 202319
12 201918
13 200316
14 201316
15 202014
16 201814
17 200214
18
Removing Requirement Defects and Automating Test
200113
19 198913
20 200211

About Mark Blackburn

Mark Blackburn is a scholar working on Software, Artificial Intelligence, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Information Systems, having authored 84 papers that have together received 675 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (21 papers), Technology Assessment and Management (19 papers), Systems Engineering Methodologies and Applications (18 papers), Software Reliability and Analysis Research (14 papers), Formal Methods in Verification (11 papers), Software Engineering Research (8 papers), Manufacturing Process and Optimization (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Software (238 citations), Industrial and Manufacturing Engineering (156 citations), Safety, Risk, Reliability and Quality (121 citations), Information Systems (152 citations) and Management Information Systems (59 citations). Mark Blackburn has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Timothy D. West, Mary Bone, Thomas Hagedorn, Ramaswamy Chandramouli, Peter Denno, John Dzielski, Dinesh Verma, Donna H. Rhodes, Ian R. Grosse and David N. Cohen. Their work appears in journals such as Systems Engineering, Science of Computer Programming, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Mechanical Design and The Medical Journal of Australia.

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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