Mark A. Ardis

878 citations
51 papers · 400 indexed · h-index 11

Impact in

Papers in

    • Online Learning and Analytics 12
    • E-Learning and Knowledge Management 11
    • Model-Driven Software Engineering Techniques 7
    • Software Reliability and Analysis Research 5

Mark A. Ardis

48 papers receiving 367 citations

Peers

Mark A. Ardis
Comparison fields: 5 of 48
  • Software 122
  • Computer Science Applications 90
  • Information Systems 224
  • Architecture 11
  • Artificial Intelligence 142
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Mark A. Ardis relative to Thomas B. Hilburn United States Thomas B. Hilburn's profile →
Citations per field
00.5×3.7×
Thomas B. Hilburn · 1×
Citations per year

Countries citing papers authored by Mark A. Ardis

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Ardis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 201512
3 20134
4 20133
5 20121
6 20129
7
The Development of a Graduate Curriculum for Software Assurance
20111
8 20111
9 20111
10 20101
11 201015
12 20091
13 20045
14 20022
15 200210
16 20012
17 199915
18
Proceedings of the second workshop on Formal methods in software practice
19986
19 19976
20 19949

About Mark A. Ardis

Mark A. Ardis is a scholar working on Computer Science Applications, Software, Information Systems, Media Technology and Architecture, having authored 51 papers that have together received 400 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (22 papers), Online Learning and Analytics (12 papers), E-Learning and Knowledge Management (11 papers), Biomedical and Engineering Education (9 papers), Advanced Software Engineering Methodologies (9 papers), Model-Driven Software Engineering Techniques (7 papers), Software Engineering Research (6 papers) and Software Reliability and Analysis Research (5 papers). The work is most often cited by research in Software (122 citations), Computer Science Applications (90 citations), Information Systems (224 citations), Architecture (11 citations) and Artificial Intelligence (142 citations). Mark A. Ardis has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David M. Weiss, Jeff Offutt, David Budgen, Gregory W. Hislop, Willem Visser, Edward F. Gehringer, Peter Henderson, Donald Chinn, Manuel A. Pérez-Quiñones and Lalita Jategaonkar Jagadeesan. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Software Engineering, Journal of the Association for Information Systems, IEEE Software 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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