K. G. Russell
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Public Health, Environmental and Occupational Health
- Statistics and Probability top 5%
- Physiology
- Co-authors
- J. A. EcclestonMark H. AnshelDavid C. WoodsS. M. LewisBarbara J. MeyerKris FrenchTanya J. MasonPeter H. Weston
- Topics
- Optimal Experimental Design Methods (19 papers)Manufacturing Process and Optimization (10 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Partner nations
- AustraliaNew ZealandUnited Kingdom
In The Last Decade
K. G. Russell
44 papers receiving 751 citations
Peers
Comparison fields: 5 of 122
- Management Science and Operations Research 313
- Computational Theory and Mathematics 167
- Public Health, Environmental and Occupational Health 106
- Statistics and Probability 103
- Physiology 100
Countries citing papers authored by K. G. Russell
This map shows the geographic impact of K. G. Russell'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 K. G. Russell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. G. Russell more than expected).
Fields of papers citing papers by K. G. Russell
This network shows the impact of papers produced by K. G. Russell. 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 K. G. Russell. The network helps show where K. G. Russell may publish in the future.
Co-authorship network of co-authors of K. G. Russell
This figure shows the co-authorship network connecting the top 25 collaborators of K. G. Russell. A scholar is included among the top collaborators of K. G. Russell 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 K. G. Russell. K. G. Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Reflective practice paper and competency guidelines framework | 2 |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 64 | |
| 6 | D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS | 37 |
| 7 | 6 | |
| 8 | 58 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 33 | |
| 16 | 3 | |
| 17 | 72 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 1 |
About K. G. Russell
K. G. Russell is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Statistics and Probability, having authored 45 papers that have together received 806 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (19 papers), Manufacturing Process and Optimization (10 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Management Science and Operations Research (313 citations), Statistics and Probability (103 citations) and Computational Theory and Mathematics (167 citations). K. G. Russell has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include J. A. Eccleston, Mark H. Anshel, David C. Woods, S. M. Lewis, Barbara J. Meyer, Kris French, Tanya J. Mason, S. M. Lewis, Peter H. Weston and Anne‐Maree Parrish. Their work appears in journals such as Technometrics, Biometrics and Journal of Nutrition.
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.