Ed McKenzie
Impact in
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Finance top 1%
- Financial Risk and Volatility Modeling
Papers in
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- Forecasting Techniques and Applications 13
-
- Bayesian Methods and Mixture Models 7
Ed McKenzie
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 797
- Finance 655
- Management Science and Operations Research 643
- Statistics, Probability and Uncertainty 212
- General Economics, Econometrics and Finance 162
Countries citing papers authored by Ed McKenzie
This map shows the geographic impact of Ed McKenzie'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 Ed McKenzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed McKenzie more than expected).
Fields of papers citing papers by Ed McKenzie
This network shows the impact of papers produced by Ed McKenzie. 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 Ed McKenzie. The network helps show where Ed McKenzie may publish in the future.
Co-authors
The 2 scholars most cited alongside Ed McKenzie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 440 | |
| 2 | 1985 | 286 | |
| 3 | 1988 | 219 | |
| 4 | 1986 | 218 | |
| 5 | 1984 | 99 | |
| 6 | 1989 | 54 | |
| 7 | 1991 | 51 | |
| 8 | 1988 | 42 | |
| 9 | 1985 | 41 | |
| 10 | 1988 | 30 | |
| 11 | 1976 | 28 | |
| 12 | 1982 | 26 | |
| 13 | 1986 | 25 | |
| 14 | 1982 | 22 | |
| 15 | 1986 | 17 | |
| 16 | 1976 | 15 | |
| 17 | 1988 | 13 | |
| 18 | 1989 | 13 | |
| 19 | 1978 | 12 | |
| 20 | 1981 | 11 |
About Ed McKenzie
Ed McKenzie is a scholar working on Management Science and Operations Research, Artificial Intelligence, Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (13 papers), Financial Risk and Volatility Modeling (8 papers), Bayesian Methods and Mixture Models (7 papers), Advanced Statistical Process Monitoring (6 papers), Statistical Distribution Estimation and Applications (5 papers), Advanced Statistical Methods and Models (4 papers), Fault Detection and Control Systems (4 papers) and Monetary Policy and Economic Impact (4 papers). The work is most often cited by research in Statistics and Probability (797 citations), Finance (655 citations), Management Science and Operations Research (643 citations), Statistics, Probability and Uncertainty (212 citations) and General Economics, Econometrics and Finance (162 citations). Ed McKenzie has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Everette S. Gardner and Peter Lewis. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, Management Science, Journal of the Operational Research Society and Operations 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.