Peter I. Frazier
About
In The Last Decade
Peter I. Frazier
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 149
- Management Science and Operations Research 999
- Artificial Intelligence 753
- Computational Theory and Mathematics 612
- Statistics, Probability and Uncertainty 313
- Molecular Biology 235
Countries citing papers authored by Peter I. Frazier
This map shows the geographic impact of Peter I. Frazier'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 Peter I. Frazier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter I. Frazier more than expected).
Fields of papers citing papers by Peter I. Frazier
This network shows the impact of papers produced by Peter I. Frazier. 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 Peter I. Frazier. The network helps show where Peter I. Frazier may publish in the future.
Co-authorship network of co-authors of Peter I. Frazier
This figure shows the co-authorship network connecting the top 25 collaborators of Peter I. Frazier. A scholar is included among the top collaborators of Peter I. Frazier 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 Peter I. Frazier. Peter I. Frazier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | 31 | |
| 6 | Constrained Two-step Look-Ahead Bayesian Optimization | 4 |
| 7 | Practical Two-Step Lookahead Bayesian Optimization | 7 |
| 8 | Bayesian Optimization with Uncertain Preferences over Attributes | 1 |
| 9 | Practical multi-fidelity Bayesian optimization for hyperparameter tuning | 12 |
| 10 | 1 | |
| 11 | Bayesian Optimization with Gradients | 9 |
| 12 | The Parallel Knowledge Gradient Method for Batch Bayesian Optimization | 28 |
| 13 | Predicting Bike Usage for New York City's Bike Sharing System | 41 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 66 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | Sequential Hypothesis Testing under Stochastic Deadlines | 69 |
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.