Warren R. Scott
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Warren B. PowellPeter I. FrazierAlbert BoulangerHugo SimãoAbraham GeorgeAlan LamontJeffrey StewartDaniel Jiang
- Topics
- Advanced Multi-Objective Optimization Algorithms (4 papers)Gaussian Processes and Bayesian Inference (3 papers)Smart Grid Energy Management (3 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsControl and Systems Engineering
- Partner nations
- United StatesSlovakiaIndia
In The Last Decade
Warren R. Scott
8 papers receiving 361 citations
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 180
- Control and Systems Engineering 133
- Artificial Intelligence 99
- Computational Theory and Mathematics 98
- Management Science and Operations Research 98
Countries citing papers authored by Warren R. Scott
This map shows the geographic impact of Warren R. Scott'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 Warren R. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren R. Scott more than expected).
Fields of papers citing papers by Warren R. Scott
This network shows the impact of papers produced by Warren R. Scott. 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 Warren R. Scott. The network helps show where Warren R. Scott may publish in the future.
Co-authorship network of co-authors of Warren R. Scott
This figure shows the co-authorship network connecting the top 25 collaborators of Warren R. Scott. A scholar is included among the top collaborators of Warren R. Scott 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 Warren R. Scott. Warren R. Scott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 120 | |
| 3 | 127 | |
| 4 | 74 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | The Correlated Knowledge Gradient for Maximizing Expensive Continuous Functions with Noisy Observations using Gaussian Process Regression | 3 |
| 8 | 6 | |
| 9 | How to Use Local Clays in School Ceramics | 0 |
About Warren R. Scott
Warren R. Scott is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 9 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Management Science and Operations Research (98 citations), Computational Theory and Mathematics (98 citations) and Control and Systems Engineering (133 citations). Warren R. Scott has collaborated with scholars based in United States, Slovakia and India. Frequent co-authors include Warren B. Powell, Peter I. Frazier, Albert Boulanger, Hugo Simão, Abraham George, Alan Lamont, Jeffrey Stewart, Daniel Jiang and David W. Scott. Their work appears in journals such as Proceedings of the IEEE, The American Statistician and SIAM Journal on 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.