Andrew Booker
- Computational Theory and Mathematics top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Co-authors
- Paul D. FrankJ. E. DennisVirginia TorczonMichael W. TrossetDavide SerafiniTimothy W. SimpsonMartin MeckesheimerRussell R. Barton
- Topics
- Advanced Multi-Objective Optimization Algorithms (12 papers)Probabilistic and Robust Engineering Design (10 papers)Optimal Experimental Design Methods (7 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Andrew Booker
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 1.0k
- Statistics, Probability and Uncertainty 534
- Management Science and Operations Research 429
- Artificial Intelligence 299
- Mechanical Engineering 215
Countries citing papers authored by Andrew Booker
This map shows the geographic impact of Andrew Booker'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 Andrew Booker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Booker more than expected).
Fields of papers citing papers by Andrew Booker
This network shows the impact of papers produced by Andrew Booker. 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 Andrew Booker. The network helps show where Andrew Booker may publish in the future.
Co-authorship network of co-authors of Andrew Booker
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Booker. A scholar is included among the top collaborators of Andrew Booker 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 Andrew Booker. Andrew Booker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 77 | |
| 3 | 5 | |
| 4 | 326 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 6 | |
| 9 | 225 | |
| 10 | 19 | |
| 11 | 149 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | A rigorous framework for optimization of expensive functions by surrogatesbreakdown → | 697 |
| 15 | 12 | |
| 16 | 22 | |
| 17 | 70 | |
| 18 | 34 |
About Andrew Booker
Andrew Booker is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (10 papers) and Optimal Experimental Design Methods (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (534 citations), Computational Theory and Mathematics (1.0k citations) and Management Science and Operations Research (429 citations). Andrew Booker has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Paul D. Frank, J. E. Dennis, Virginia Torczon, Michael W. Trosset, Davide Serafini, Timothy W. Simpson, Martin Meckesheimer, Russell R. Barton, Anthony Giunta and R. J. Yang. Their work appears in journals such as AIAA Journal, Advances in Water Resources and Structural and Multidisciplinary Optimization.
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.