A. Veevers

34 papers receiving 317 citations

Peers

A. Veevers
Comparison fields: 5 of 110
  • Otorhinolaryngology 87
  • Software 35
  • Statistics and Probability 39
  • Statistics, Probability and Uncertainty 30
  • Oncology 58
Replace Sara Malik with:
Sara Malik India
Rakesh Shukla India
Shahid Kamal Pakistan
Guanyu Yang China
Xinyi Zhang China
Joby K. Jose India
Yuan Zhi China
Li Guo China
Yuqing Pan China
Hung-Chia Chen Taiwan
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Citations per year

Countries citing papers authored by A. Veevers

Since Specialization
Citations

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

Fields of papers citing papers by A. Veevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985119
2 199451
3 199423
4 197521
5 199818
6 197715
7 198715
8 200013
9
A review of asset management models available for water pipeline networks
20009
10 19798
11 19758
12 19718
13 19868
14 19897
15 19805
16 19685
17
The quantification of software reliability
19885
18 19903
19 19873
20 19733

About A. Veevers

A. Veevers is a scholar working on Software, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Molecular Biology and Civil and Structural Engineering, having authored 38 papers that have together received 363 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (9 papers), Reliability and Maintenance Optimization (6 papers), Software Engineering Research (4 papers), Risk and Safety Analysis (3 papers), Optimal Experimental Design Methods (3 papers), Software Testing and Debugging Techniques (3 papers), Advanced Statistical Process Monitoring (3 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Otorhinolaryngology (87 citations), Software (35 citations), Statistics and Probability (39 citations), Statistics, Probability and Uncertainty (30 citations) and Oncology (58 citations). A. Veevers has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Richard A. Stone, T. B. Boffey, F P Rugman, P. M. Stell, Peter Stoney, J. A. Wilson, Randall P. Morton, M. McCormick, A G Cudworth and M. C. K. Tweedie. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Euphytica, Software Testing Verification and Reliability, Journal of Chemometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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