Neil A. Butler
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 2%
- Industrial and Manufacturing Engineering top 5%
- Statistics and Probability top 5%
- Electrical and Electronic Engineering
- Co-authors
- Steven G. GilmourKent M. EskridgeMichael C. DenhamRoger MeadR. MeadVictorino Morales‐RamosB. EngelRichard Morton
- Topics
- Optimal Experimental Design Methods (25 papers)Advanced Multi-Objective Optimization Algorithms (17 papers)Manufacturing Process and Optimization (7 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Neil A. Butler
35 papers receiving 443 citations
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 305
- Computational Theory and Mathematics 210
- Industrial and Manufacturing Engineering 115
- Statistics and Probability 88
- Electrical and Electronic Engineering 70
Countries citing papers authored by Neil A. Butler
This map shows the geographic impact of Neil A. Butler'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 Neil A. Butler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil A. Butler more than expected).
Fields of papers citing papers by Neil A. Butler
This network shows the impact of papers produced by Neil A. Butler. 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 Neil A. Butler. The network helps show where Neil A. Butler may publish in the future.
Co-authorship network of co-authors of Neil A. Butler
This figure shows the co-authorship network connecting the top 25 collaborators of Neil A. Butler. A scholar is included among the top collaborators of Neil A. Butler 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 Neil A. Butler. Neil A. Butler 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 | Minimum Bias Designs For Generalized Linear Models | 1 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 30 | |
| 12 | 34 | |
| 13 | 76 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 39 | |
| 17 | The analysis of designed experiments and longitudinal data by using smoothing splines - Discussion | 53 |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 10 |
About Neil A. Butler
Neil A. Butler is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 35 papers that have together received 483 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (25 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Management Science and Operations Research (305 citations), Computational Theory and Mathematics (210 citations) and Industrial and Manufacturing Engineering (115 citations). Neil A. Butler has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Steven G. Gilmour, Kent M. Eskridge, Michael C. Denham, Roger Mead, R. Mead, Victorino Morales‐Ramos, B. Engel, Richard Morton, Ying Li and R. A. Kempton. Their work appears in journals such as Technometrics, Journal of Colloid and Interface Science and Biometrika.
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.