A. Veevers

31 papers receiving 290 citations

Peers

A. Veevers
Comparison fields: 5 of 107
  • Otorhinolaryngology 81
  • Software 24
  • Statistics and Probability 33
  • Statistics, Probability and Uncertainty 25
  • Oncology 53
Replace Sara Malik with:
Sara Malik India
Shahid Kamal Pakistan
Amandeep Singh India
Xinyi Zhang China
Guanyu Yang China
Yuan Zhi China
Hung-Chia Chen Taiwan
Hiroto Yoshioka Japan
John Jenn-Yenn Lu Taiwan
Xuyuan Liu China
A. Veevers relative to Sara Malik India Sara Malik's profile →
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985111
2 199442
3 199421
4 197521
5 199817
6 200013
7 197713
8 198713
9
A review of asset management models available for water pipeline networks
20009
10 19718
11 19797
12 19757
13 19866
14 19805
15 19685
16 19894
17
The quantification of software reliability
19883
18 19733
19 19902
20 19992

About A. Veevers

A. Veevers is a scholar working on Software, Molecular Biology, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Civil and Structural Engineering, having authored 33 papers that have together received 323 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (7 papers), Reliability and Maintenance Optimization (4 papers), Software Engineering Research (3 papers), Optimal Experimental Design Methods (3 papers), Software Testing and Debugging Techniques (3 papers), Advanced Statistical Process Monitoring (3 papers), Head and Neck Cancer Studies (2 papers) and Infrastructure Maintenance and Monitoring (2 papers). The work is most often cited by research in Otorhinolaryngology (81 citations), Software (24 citations), Statistics and Probability (33 citations), Statistics, Probability and Uncertainty (25 citations) and Oncology (53 citations). A. Veevers has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Richard A. Stone, Peter Stoney, F P Rugman, M. McCormick, J. A. Wilson, P. M. Stell, T. B. Boffey, Randall P. Morton, 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, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Chemometrics and Mathematical Biosciences.

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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