William Murdock
Impact in
- Software top 2%
- Software Reliability and Analysis Research
-
- Reliability and Maintenance Optimization
Papers in
-
- Reliability and Maintenance Optimization 8
- Software 6
- Software Reliability and Analysis Research 6
- Co-authors
- Edward Pohl (7 shared papers)C. Richard Cassady (3 shared papers)Markus Reineke (3 shared papers)Joel A. Nachlas (2 shared papers)Benjamin P. Koester (1 shared paper)Timothy A. McKay (1 shared paper)
- Journals
- European Journal of Operational Research (1 paper)Journal of Quality in Maintenance Engineering (1 paper)IEEE Transactions on Reliability (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United States
In The Last Decade
William Murdock
8 papers receiving 324 citations
Peers
Comparison fields: 5 of 39
- Software 189
- Safety, Risk, Reliability and Quality 304
- Statistics, Probability and Uncertainty 70
- Medical Laboratory Technology 15
- Statistics and Probability 73
Countries citing papers authored by William Murdock
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
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 6 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 146 | |
| 2 | 2001 | 142 | |
| 3 | 1999 | 18 | |
| 4 | 1999 | 18 | |
| 5 | 1999 | 6 | |
| 6 | 1998 | 6 | |
| 7 | 2002 | 5 | |
| 8 | 2017 | 3 | |
| 9 | 1999 | 0 | |
| 10 | 2007 | 0 |
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 10 papers that have together received 344 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (8 papers), Software Reliability and Analysis Research (6 papers), Statistical Distribution Estimation and Applications (4 papers), Life Cycle Costing Analysis (3 papers), Inertial Sensor and Navigation (1 paper), Statistical Methods and Bayesian Inference (1 paper), Medical Education and Admissions (1 paper) and GNSS positioning and interference (1 paper). The work is most often cited by research in Software (189 citations), Safety, Risk, Reliability and Quality (304 citations), Statistics, Probability and Uncertainty (70 citations), Medical Laboratory Technology (15 citations) and Statistics and Probability (73 citations). William Murdock has collaborated with scholars based in United States. Frequent co-authors include Edward Pohl, C. Richard Cassady, Markus Reineke, Joel A. Nachlas, Benjamin P. Koester and Timothy A. McKay. Their work appears in journals such as European Journal of Operational Research, Journal of Quality in Maintenance Engineering, IEEE Transactions on Reliability 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.