James H. Andrews

3.7k citations
86 papers · 2.6k indexed · 2 hit papers · h-index 24
Topics
Software Testing and Debugging Techniques (32 papers)Software Engineering Research (25 papers)Software Reliability and Analysis Research (25 papers)

In The Last Decade

James H. Andrews

85 papers receiving 2.5k citations

Hit Papers

Is mutation an appropriate tool for testing experiments?200520262012201920052006100200300400500

Peers

James H. Andrews
Comparison fields: 5 of 101
  • Software 1.8k
  • Information Systems 1.4k
  • Computer Networks and Communications 359
  • Electrical and Electronic Engineering 331
  • Atomic and Molecular Physics, and Optics 293
Replace Koji Inoue with:
Koji Inoue Japan
Jiyong Jang United States
Conor Madigan United States
Saurabh Srivastava India
Liang Sheng China
Susan Stepney United Kingdom
Manuel Alfonseca Spain
P. Santhanam United States
Takashi Kobayashi Japan
Yue-Kai Huang United States
James H. Andrews relative to Koji Inoue Japan Koji Inoue's profile →
Citations per field
00.5×1.5×
Koji Inoue · 1×
Citations per year

Countries citing papers authored by James H. Andrews

Since Specialization
Citations

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

Fields of papers citing papers by James H. Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James H. Andrews. 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 James H. Andrews. The network helps show where James H. Andrews may publish in the future.

Co-authorship network of co-authors of James H. Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of James H. Andrews. A scholar is included among the top collaborators of James H. Andrews based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James H. Andrews. James H. Andrews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 10
3 1
4 22
5 13
6 22
7 3
8 17
9 66
10 139
11 8
12 26
13
Is mutation an appropriate tool for testing experiments?breakdown →
593
14 31
15 17
16 2
17 29
18
The logical structure of sequential Prolog
2
19 6
20 3

About James H. Andrews

James H. Andrews is a scholar working on Software, Information Systems and Atomic and Molecular Physics, and Optics, having authored 86 papers that have together received 2.6k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (32 papers), Software Engineering Research (25 papers) and Software Reliability and Analysis Research (25 papers). The work is most often cited by research in Software (1.8k citations), Information Systems (1.4k citations) and Hardware and Architecture (142 citations). James H. Andrews has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Yvan Labiche, Lionel Briand, Akbar Siami Namin, Kenneth D. Singer, Yingjun Zhang, Duncan J. Murdoch, Tim Menzies, Eric Baer, Ben Ovryn and Anne Hiltner. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Journal of Materials Chemistry.

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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