Acheson J. Duncan
- Statistics, Probability and Uncertainty top 0.05%
- Statistics and Probability top 0.5%
- Management Science and Operations Research top 1%
- Industrial and Manufacturing Engineering top 0.5%
- Management Information Systems top 2%
- Co-authors
- Roy E. LaveG. Barrie WetherillDudley J. CowdenHarry G. RomigH. F. DodgeHelen M. WalkerA. Blanton GodfreyJoseph Lev
- Topics
- Advanced Statistical Process Monitoring (18 papers)Advanced Statistical Methods and Models (4 papers)Optimal Experimental Design Methods (2 papers)
- Cited by
- Statistics, Probability and UncertaintyMedical Laboratory TechnologyStatistics and Probability
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Acheson J. Duncan
36 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Statistics, Probability and Uncertainty 2.0k
- Statistics and Probability 683
- Management Science and Operations Research 560
- Industrial and Manufacturing Engineering 541
- Management Information Systems 355
Countries citing papers authored by Acheson J. Duncan
This map shows the geographic impact of Acheson J. Duncan'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 Acheson J. Duncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Acheson J. Duncan more than expected).
Fields of papers citing papers by Acheson J. Duncan
This network shows the impact of papers produced by Acheson J. Duncan. 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 Acheson J. Duncan. The network helps show where Acheson J. Duncan may publish in the future.
Co-authorship network of co-authors of Acheson J. Duncan
This figure shows the co-authorship network connecting the top 25 collaborators of Acheson J. Duncan. A scholar is included among the top collaborators of Acheson J. Duncan 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 Acheson J. Duncan. Acheson J. Duncan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 6 | |
| 3 | 51 | |
| 4 | 26 | |
| 5 | 8 | |
| 6 | 254 | |
| 7 | 172 | |
| 8 | 93 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 102 | |
| 16 | 33 | |
| 17 | 1 | |
| 18 | 256 | |
| 19 | 1 | |
| 20 | 36 |
About Acheson J. Duncan
Acheson J. Duncan is a scholar working on Statistics, Probability and Uncertainty, Fuel Technology and Statistics and Probability, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (18 papers), Advanced Statistical Methods and Models (4 papers) and Optimal Experimental Design Methods (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.0k citations), Medical Laboratory Technology (162 citations) and Statistics and Probability (683 citations). Acheson J. Duncan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Roy E. Lave, G. Barrie Wetherill, Dudley J. Cowden, Harry G. Romig, H. F. Dodge, Helen M. Walker, A. Blanton Godfrey, Joseph Lev, L. H. C. Tippett and James M. Smith. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Technometrics.
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.