Robert E. Noonan

652 citations
32 papers · 453 · h-index 8

Impact in

Papers in

    • Software Engineering Research 7
    • Information Systems Education and Curriculum Development 6
    • Software Testing and Debugging Techniques 6
    • Software Reliability and Analysis Research 5
    • Model-Driven Software Engineering Techniques 5

Robert E. Noonan

27 papers receiving 401 citations

Peers

Robert E. Noonan
Comparison fields: 5 of 46
  • Software 234
  • Computer Science Applications 48
  • Industrial and Manufacturing Engineering 84
  • Information Systems 184
  • Safety, Risk, Reliability and Quality 66
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Citations per year

Countries citing papers authored by Robert E. Noonan

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Noonan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Noonan. 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 Robert E. Noonan. The network helps show where Robert E. Noonan may publish in the future.

Co-authors

The 13 scholars most cited alongside Robert E. Noonan, 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 Robert E. Noonan Line = papers co-authored together Robert E. Noonan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992188
2 197297
3 200234
4 198525
5 197514
6 200713
7 19957
8 19797
9 19806
10 19956
11 20066
12 20076
13
Computer programming with a dynamic algebra
19715
14 19745
15 20094
16 20044
17 20044
18
Using a project submission tool across the curriculum
20003
19
Proceedings of a symposium on High-level-language computer architecture
19733
20 20023

About Robert E. Noonan

Robert E. Noonan is a scholar working on Information Systems, Software, Computer Science Applications, Artificial Intelligence and Computational Theory and Mathematics, having authored 32 papers that have together received 453 indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Software Engineering Research (7 papers), Software Testing and Debugging Techniques (6 papers), Information Systems Education and Curriculum Development (6 papers), Software Reliability and Analysis Research (5 papers), Logic, programming, and type systems (5 papers), Model-Driven Software Engineering Techniques (5 papers) and Experimental Learning in Engineering (4 papers). The work is most often cited by research in Software (234 citations), Computer Science Applications (48 citations), Industrial and Manufacturing Engineering (84 citations), Information Systems (184 citations) and Safety, Risk, Reliability and Quality (66 citations). Robert E. Noonan has collaborated with scholars based in United States. Frequent co-authors include Keith Miller, David M. Nicol, Larry Morell, Andrew B. Whinston, Victor R. Basili, Allen B. Tucker, Kim B. Bruce, Henry M. Walker, Christopher Nevison and Elliott I. Organick. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices, Software Practice and Experience, Management Science and Journal of computing sciences in colleges.

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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