William Murdock

474 citations
13 papers · 395 · h-index 7

Impact in

Papers in

William Murdock

12 papers receiving 371 citations

Peers

William Murdock
Comparison fields: 5 of 40
  • Software 210
  • Safety, Risk, Reliability and Quality 338
  • Statistics, Probability and Uncertainty 82
  • Medical Laboratory Technology 16
  • Statistics and Probability 82
Replace R. Guo with:
R. Guo South Africa
Chang Hoon Lie South Korea
F. G. Badía Spain
Jessica Yuan United States
Guan Jun Wang China
Michael Jong Kim Canada
Tzu‐Hsin Liu Taiwan
M.N. Gopalan India
L.R. Goel India
Lam Yeh Hong Kong
William Murdock relative to R. Guo South Africa R. Guo's profile →
Citations per field
00.5×3.6×
R. Guo · 1×
Citations per year

Countries citing papers authored by William Murdock

Since Specialization
Citations

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

Fields of papers citing papers by William Murdock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside William Murdock, 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 William Murdock Line = papers co-authored together William Murdock links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2001155
2 2001153
3 199920
4 199919
5 200114
6 200711
7 19996
8 20026
9 19986
10 20173
11 20071
12 19971
13 19990

About William Murdock

William Murdock is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics and Probability, Accounting and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 395 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (9 papers), Software Reliability and Analysis Research (6 papers), Statistical Distribution Estimation and Applications (4 papers), Life Cycle Costing Analysis (3 papers), Risk and Safety Analysis (2 papers), AI-based Problem Solving and Planning (1 paper), Medical Education and Admissions (1 paper) and Spacecraft Design and Technology (1 paper). The work is most often cited by research in Software (210 citations), Safety, Risk, Reliability and Quality (338 citations), Statistics, Probability and Uncertainty (82 citations), Medical Laboratory Technology (16 citations) and Statistics and Probability (82 citations). William Murdock has collaborated with scholars based in United States and China. Frequent co-authors include Edward Pohl, C. Richard Cassady, Markus Reineke, Joel A. Nachlas, James Fan, Timothy A. McKay, Aaron Kershenbaum, Christopher Welty, Aditya Kalyanpur and Benjamin P. Koester. Their work appears in journals such as Journal of Quality in Maintenance Engineering, IEEE Transactions on Reliability, European Journal of Operational Research, Lecture notes in computer science and Zenodo (CERN European Organization for Nuclear Research).

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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