M.-A. Storey

1.9k citations
25 papers · 1.3k · h-index 19

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

M.-A. Storey

25 papers receiving 1.2k citations

Peers

M.-A. Storey
Comparison fields: 5 of 53
  • Software 381
  • Information Systems 1.1k
  • Computer Science Applications 164
  • Artificial Intelligence 567
  • Computer Networks and Communications 362
Replace Mircea Lungu with:
Mircea Lungu Switzerland
S.G. Eick United States
Andrea Mocci Switzerland
Andrew J. Ko United States
Richard Wettel Switzerland
A.M. Vans United States
A. von Mayrhauser United States
Jonathan Sillito Canada
Huzefa Kagdi United States
Nicolas Anquetil France
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Citations per field
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Citations per year

Countries citing papers authored by M.-A. Storey

Since Specialization
Citations

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

Fields of papers citing papers by M.-A. Storey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-A. Storey. 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 M.-A. Storey. The network helps show where M.-A. Storey may publish in the future.

Co-authors

The 20 scholars most cited alongside M.-A. Storey, 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 M.-A. Storey Line = papers co-authored together M.-A. Storey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999153
2 2005130
3 1995121
4 2000113
5 2002110
6 200591
7 200268
8 200261
9 200649
10 200248
11 200248
12 200946
13 200232
14 200531
15 200230
16 200726
17 200225
18 200524
19 200322
20 201017

About M.-A. Storey

M.-A. Storey is a scholar working on Information Systems, Artificial Intelligence, Software, Information Systems and Management and Computer Networks and Communications, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software Engineering Techniques and Practices (11 papers), Advanced Software Engineering Methodologies (8 papers), Scientific Computing and Data Management (6 papers), Data Visualization and Analytics (5 papers), Software System Performance and Reliability (4 papers), Advanced Malware Detection Techniques (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (381 citations), Information Systems (1.1k citations), Computer Science Applications (164 citations), Artificial Intelligence (567 citations) and Computer Networks and Communications (362 citations). M.-A. Storey has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Hausi Müller, Kevin Wong, F. David Fracchia, Janice Singer, S. Tilley, Rainer Koschke, S.E. Sim, Michael Müller, Li-Te Cheng and Xiaomin Wu. Their work appears in journals such as Science of Computer Programming, Journal of Systems and Software, IEEE Transactions on Software Engineering and IEEE Software.

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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