Michelle Cartwright

1.2k citations
18 papers · 778 · h-index 12

Impact in

  • Software top 1%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Data Mining Algorithms and Applications

Papers in

    • Software Engineering Research 15
    • Data Mining Algorithms and Applications 3
    • Software Engineering Techniques and Practices 3
    • Software Reliability and Analysis Research 13
    • Software Testing and Debugging Techniques 4

Michelle Cartwright

18 papers receiving 696 citations

Peers

Michelle Cartwright
Comparison fields: 5 of 74
  • Software 519
  • Information Systems 668
  • Computer Science Applications 42
  • Artificial Intelligence 199
  • Computer Networks and Communications 134
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Michelle Cartwright relative to J.P. Hudepohl United States J.P. Hudepohl's profile →
Citations per field
00.5×1.5×2.1×
J.P. Hudepohl · 1×
Citations per year

Countries citing papers authored by Michelle Cartwright

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Cartwright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Michelle Cartwright, 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 Michelle Cartwright Line = papers co-authored together Michelle Cartwright links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2000183
2 2006154
3 200175
4 200474
5 199855
6 200044
7 200532
8 200532
9 201031
10 200623
11 200521
12 200517
13 200711
14 20027
15 19927
16 20006
17 20064
18 20012

About Michelle Cartwright

Michelle Cartwright is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications and Clinical Psychology, having authored 18 papers that have together received 778 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Software Reliability and Analysis Research (13 papers), Software Testing and Debugging Techniques (4 papers), Data Mining Algorithms and Applications (3 papers), Software Engineering Techniques and Practices (3 papers), Imbalanced Data Classification Techniques (2 papers), Software System Performance and Reliability (1 paper) and Open Source Software Innovations (1 paper). The work is most often cited by research in Software (519 citations), Information Systems (668 citations), Computer Science Applications (42 citations), Artificial Intelligence (199 citations) and Computer Networks and Communications (134 citations). Michelle Cartwright has collaborated with scholars based in United Kingdom, Brunei and South Africa. Frequent co-authors include Martin Shepperd, Bhekisipho Twala, Carolyn Mair, Xiaoyan Song, Gada Kadoda, Laurence Moseley and Mark Stephens. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, Information and Software Technology, Software Testing Verification and Reliability and Journal of the American Academy of Nurse Practitioners.

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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