Patrick R. Conrad
Impact in
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Probabilistic and Robust Engineering Design 4
-
- AI-based Problem Solving and Planning 4
- Logic, Reasoning, and Knowledge 2
- Gaussian Processes and Bayesian Inference 2
- Multi-Agent Systems and Negotiation 1
- Co-authors
- Youssef Marzouk (4 shared papers)Julie Shah (2 shared papers)Konstantinos C. Zygalakis (1 shared paper)Natesh S. Pillai (1 shared paper)Simo Särkkä (1 shared paper)Aaron Douglas Smith (1 shared paper)Mark Girolami (1 shared paper)Andrew M. Stuart (1 shared paper)
- Journals
- Statistics and Computing (1 paper)Computational Geosciences (1 paper)Proceedings of the International Conference on Automated Planning and Scheduling (2 papers)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)Figshare (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Patrick R. Conrad
8 papers receiving 271 citations
Peers
Comparison fields: 5 of 62
- Statistics, Probability and Uncertainty 162
- Computational Mathematics 3
- Statistical and Nonlinear Physics 59
- Computational Theory and Mathematics 56
- Artificial Intelligence 84
Countries citing papers authored by Patrick R. Conrad
This map shows the geographic impact of Patrick R. Conrad'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 Patrick R. Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick R. Conrad more than expected).
Fields of papers citing papers by Patrick R. Conrad
This network shows the impact of papers produced by Patrick R. Conrad. 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 Patrick R. Conrad. The network helps show where Patrick R. Conrad may publish in the future.
Co-authors
The 18 scholars most cited alongside Patrick R. Conrad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive Smolyak Pseudospectral Approximations | 2013 | 127 |
| 2 | 2016 | 40 | |
| 3 | 2013 | 35 | |
| 4 | 2019 | 31 | |
| 5 | 2009 | 25 | |
| 6 | 2009 | 19 | |
| 7 | Flexible execution of plans with choice and uncertainty | 2011 | 3 |
| 8 | A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database | 2013 | 2 |
| 9 | 2011 | 1 |
About Patrick R. Conrad
Patrick R. Conrad is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Statistics and Probability, having authored 9 papers that have together received 283 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Probabilistic and Robust Engineering Design (4 papers), Constraint Satisfaction and Optimization (3 papers), Logic, Reasoning, and Knowledge (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers), Multi-Agent Systems and Negotiation (1 paper) and Oceanographic and Atmospheric Processes (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (162 citations), Computational Mathematics (3 citations), Statistical and Nonlinear Physics (59 citations), Computational Theory and Mathematics (56 citations) and Artificial Intelligence (84 citations). Patrick R. Conrad has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Youssef Marzouk, Julie Shah, Konstantinos C. Zygalakis, Natesh S. Pillai, Simo Särkkä, Aaron Douglas Smith, Mark Girolami, Andrew M. Stuart, Brian Charles Williams and Brian P. Williams. Their work appears in journals such as Statistics and Computing, Computational Geosciences, Proceedings of the International Conference on Automated Planning and Scheduling, DSpace@MIT (Massachusetts Institute of Technology) and Figshare.
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.