Ken R. McNaught

572 total citations
20 papers, 409 citations indexed

About

Ken R. McNaught is a scholar working on Management Science and Operations Research, Software and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ken R. McNaught has authored 20 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 5 papers in Software and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ken R. McNaught's work include Software Reliability and Analysis Research (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Risk and Safety Analysis (4 papers). Ken R. McNaught is often cited by papers focused on Software Reliability and Analysis Research (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Risk and Safety Analysis (4 papers). Ken R. McNaught collaborates with scholars based in United Kingdom, United States and China. Ken R. McNaught's co-authors include M Fasihul Alam, Trevor J. Ringrose, Adam Zagorecki, Peter Šutovský, Richard Critchley, A. J. Saddington and Rachael Hazael and has published in prestigious journals such as International Journal of Production Economics, Journal of the Operational Research Society and Australasian Journal of Paramedicine.

In The Last Decade

Ken R. McNaught

18 papers receiving 380 citations

Peers

Ken R. McNaught
Comparison fields: 5 of 82
  • Management Science and Operations Research 167
  • Statistics, Probability and Uncertainty 77
  • Control and Systems Engineering 66
  • Industrial and Manufacturing Engineering 55
  • Artificial Intelligence 50
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Citations per field, relative to Ken R. McNaught
Ken R. McNaught · 1×
Citations per year, relative to Ken R. McNaught
Ken R. McNaught · 1×

Countries citing papers authored by Ken R. McNaught

Since Specialization
Citations

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

Fields of papers citing papers by Ken R. McNaught

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken R. McNaught. 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 Ken R. McNaught. The network helps show where Ken R. McNaught may publish in the future.

Co-authorship network of co-authors of Ken R. McNaught

This figure shows the co-authorship network connecting the top 25 collaborators of Ken R. McNaught. A scholar is included among the top collaborators of Ken R. McNaught 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 Ken R. McNaught. Ken R. McNaught 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 38
7 23
8 15
9 3
10
Evidence Marshalling with Inference Networks: An Application to Homeland Security
2
11 111
12 34
13 28
14 18
15 7
16 4
17 19
18 94
19 3
20 6

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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